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Make CLI convert_to_parquet not raise error if no rights to create script branch #6902

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merged 1 commit into from
May 16, 2024

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@albertvillanova albertvillanova commented May 16, 2024

Make CLI convert_to_parquet not raise error if no rights to create "script" branch.

Not that before this PR, the error was not critical because it was raised at the end of the script, once all the rest of the steps were already performed.

Fix #6901.

Bug introduced in datasets-2.19.0 by:

@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

@albertvillanova albertvillanova merged commit 6255b36 into main May 16, 2024
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@albertvillanova albertvillanova deleted the fix-6901 branch May 16, 2024 12:51
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Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005026 / 0.011353 (-0.006327) 0.003672 / 0.011008 (-0.007336) 0.062776 / 0.038508 (0.024268) 0.032056 / 0.023109 (0.008947) 0.245359 / 0.275898 (-0.030540) 0.269371 / 0.323480 (-0.054109) 0.004205 / 0.007986 (-0.003780) 0.002774 / 0.004328 (-0.001555) 0.048958 / 0.004250 (0.044708) 0.046442 / 0.037052 (0.009390) 0.263924 / 0.258489 (0.005434) 0.291854 / 0.293841 (-0.001987) 0.027299 / 0.128546 (-0.101248) 0.010332 / 0.075646 (-0.065315) 0.202677 / 0.419271 (-0.216595) 0.037732 / 0.043533 (-0.005801) 0.246028 / 0.255139 (-0.009111) 0.272100 / 0.283200 (-0.011099) 0.018497 / 0.141683 (-0.123186) 1.101192 / 1.452155 (-0.350962) 1.149683 / 1.492716 (-0.343033)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.097838 / 0.018006 (0.079832) 0.305598 / 0.000490 (0.305108) 0.000230 / 0.000200 (0.000030) 0.000045 / 0.000054 (-0.000009)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.019489 / 0.037411 (-0.017922) 0.061902 / 0.014526 (0.047376) 0.074825 / 0.176557 (-0.101732) 0.121664 / 0.737135 (-0.615472) 0.076440 / 0.296338 (-0.219898)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.279194 / 0.215209 (0.063985) 2.756777 / 2.077655 (0.679123) 1.429298 / 1.504120 (-0.074822) 1.313423 / 1.541195 (-0.227771) 1.340466 / 1.468490 (-0.128024) 0.556349 / 4.584777 (-4.028428) 2.355910 / 3.745712 (-1.389802) 2.806733 / 5.269862 (-2.463128) 1.741903 / 4.565676 (-2.823773) 0.061556 / 0.424275 (-0.362719) 0.005477 / 0.007607 (-0.002130) 0.327856 / 0.226044 (0.101812) 3.283092 / 2.268929 (1.014164) 1.797776 / 55.444624 (-53.646848) 1.498683 / 6.876477 (-5.377794) 1.518501 / 2.142072 (-0.623572) 0.632267 / 4.805227 (-4.172960) 0.116505 / 6.500664 (-6.384159) 0.042446 / 0.075469 (-0.033023)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 0.982841 / 1.841788 (-0.858947) 11.709436 / 8.074308 (3.635128) 9.570519 / 10.191392 (-0.620873) 0.141968 / 0.680424 (-0.538456) 0.014299 / 0.534201 (-0.519902) 0.285101 / 0.579283 (-0.294182) 0.267118 / 0.434364 (-0.167246) 0.324720 / 0.540337 (-0.215617) 0.423626 / 1.386936 (-0.963310)
PyArrow==latest
Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005567 / 0.011353 (-0.005786) 0.003703 / 0.011008 (-0.007306) 0.050516 / 0.038508 (0.012008) 0.032617 / 0.023109 (0.009508) 0.276546 / 0.275898 (0.000648) 0.299798 / 0.323480 (-0.023682) 0.004282 / 0.007986 (-0.003704) 0.002719 / 0.004328 (-0.001609) 0.049424 / 0.004250 (0.045173) 0.042924 / 0.037052 (0.005871) 0.287785 / 0.258489 (0.029296) 0.315490 / 0.293841 (0.021649) 0.029533 / 0.128546 (-0.099013) 0.010575 / 0.075646 (-0.065071) 0.058210 / 0.419271 (-0.361061) 0.033269 / 0.043533 (-0.010263) 0.273325 / 0.255139 (0.018186) 0.291762 / 0.283200 (0.008563) 0.018922 / 0.141683 (-0.122761) 1.118913 / 1.452155 (-0.333242) 1.175554 / 1.492716 (-0.317162)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.099920 / 0.018006 (0.081914) 0.317188 / 0.000490 (0.316698) 0.000211 / 0.000200 (0.000011) 0.000045 / 0.000054 (-0.000009)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.022297 / 0.037411 (-0.015114) 0.077775 / 0.014526 (0.063249) 0.090239 / 0.176557 (-0.086317) 0.130498 / 0.737135 (-0.606638) 0.092010 / 0.296338 (-0.204328)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.293534 / 0.215209 (0.078325) 2.866070 / 2.077655 (0.788415) 1.547147 / 1.504120 (0.043027) 1.419684 / 1.541195 (-0.121510) 1.432128 / 1.468490 (-0.036362) 0.571365 / 4.584777 (-4.013412) 0.968879 / 3.745712 (-2.776833) 2.797415 / 5.269862 (-2.472446) 1.767821 / 4.565676 (-2.797856) 0.063281 / 0.424275 (-0.360994) 0.005072 / 0.007607 (-0.002535) 0.344547 / 0.226044 (0.118502) 3.383888 / 2.268929 (1.114959) 1.879537 / 55.444624 (-53.565087) 1.598392 / 6.876477 (-5.278085) 1.627788 / 2.142072 (-0.514284) 0.641199 / 4.805227 (-4.164028) 0.116349 / 6.500664 (-6.384315) 0.041940 / 0.075469 (-0.033529)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 1.002494 / 1.841788 (-0.839294) 12.310056 / 8.074308 (4.235748) 9.819718 / 10.191392 (-0.371674) 0.134745 / 0.680424 (-0.545679) 0.016223 / 0.534201 (-0.517978) 0.284791 / 0.579283 (-0.294492) 0.124665 / 0.434364 (-0.309699) 0.381601 / 0.540337 (-0.158737) 0.413007 / 1.386936 (-0.973929)

albertvillanova added a commit that referenced this pull request Jun 3, 2024
…ript branch (#6902)

Do not raise exception if no rights to create script branch
albertvillanova added a commit that referenced this pull request Jun 3, 2024
…ript branch (#6902)

Do not raise exception if no rights to create script branch
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HTTPError 403 raised by CLI convert_to_parquet when creating script branch on 3rd party repos
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