From eb73fe0af093233e922df9d7bf8d4f647861ab8a Mon Sep 17 00:00:00 2001 From: Rantaharju Jarno Date: Tue, 22 Oct 2024 15:38:03 +0300 Subject: [PATCH 1/4] Fix bug in audio_count_loud --- niimpy/preprocessing/audio.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/niimpy/preprocessing/audio.py b/niimpy/preprocessing/audio.py index 21b4defc..be0f96f1 100755 --- a/niimpy/preprocessing/audio.py +++ b/niimpy/preprocessing/audio.py @@ -144,7 +144,7 @@ def audio_count_loud(df_u, config=None): df_u[col_name] = pd.to_numeric(df_u[col_name]) if len(df_u)>0: - df_s = df_u[df_u[col_name]>70] #check if environment was noisy + df_u = df_u[df_u[col_name]>70] #check if environment was noisy result = group_data(df_u)[col_name].resample(**config["resample_args"]).count() result = result.to_frame(name='audio_count_loud') result = reset_groups(result) From 8d9e4d27bbd894eec65ded9da696d1119dd83d42 Mon Sep 17 00:00:00 2001 From: Rantaharju Jarno Date: Tue, 22 Oct 2024 15:39:46 +0300 Subject: [PATCH 2/4] bump patch version --- niimpy/_version.py | 2 +- pyproject.toml | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/niimpy/_version.py b/niimpy/_version.py index 3f262a63..923b9879 100644 --- a/niimpy/_version.py +++ b/niimpy/_version.py @@ -1 +1 @@ -__version__ = '1.2.1' +__version__ = '1.2.2' diff --git a/pyproject.toml b/pyproject.toml index f26accc3..7d73e2ce 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ name = "niimpy" [project] name = "niimpy" -version = "1.2.1" +version = "1.2.2" readme = "README.md" description = "Python module for analysis of behavioral data" authors = [ @@ -56,7 +56,7 @@ Repository = "https://github.com/digitraceslab/niimpy" [bumpver] -current_version = "1.2.1" +current_version = "1.2.2" version_pattern = "MAJOR.MINOR.PATCH" commit_message = "bump version {old_version} -> {new_version}" commit = true From e38fb94f7e618ef1e7d51bbd711329660901e393 Mon Sep 17 00:00:00 2001 From: Rantaharju Jarno Date: 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test_audio_features(): test_user1 = test[test["user"] == "jd9INuQ5BBlW"] assert test_user1["audio_count_silent"].sum() == 0 assert test_user1.loc[pd.Timestamp("2020-01-09 02:00:00", tz='Europe/Helsinki')]["audio_count_silent"] == 0 - assert test_user1["audio_count_loud"].sum() == 16 + assert test_user1["audio_count_loud"].sum() == 12 assert test_user1.loc[pd.Timestamp("2020-01-09 10:30:00", tz='Europe/Helsinki')]["audio_min_freq"] == 9601 assert test_user1.loc[pd.Timestamp("2020-01-09 10:30:00", tz='Europe/Helsinki')]["audio_max_freq"] == 9601 assert test_user1.loc[pd.Timestamp("2020-01-09 10:30:00", tz='Europe/Helsinki')]["audio_mean_freq"] == 9601 @@ -33,7 +33,7 @@ def test_audio_features(): assert test_user2["audio_count_silent"].sum() == 3 assert test_user2.loc[pd.Timestamp("2019-08-13 15:00:00", tz='Europe/Helsinki')]["audio_count_silent"] == 2 assert test_user2.loc[pd.Timestamp("2019-08-13 15:30:00", tz='Europe/Helsinki')]["audio_count_speech"] == 1 - assert test_user2["audio_count_loud"].sum() == 17 + assert test_user2["audio_count_loud"].sum() == 10 assert test_user2.loc[pd.Timestamp("2019-08-13 15:00:00", tz='Europe/Helsinki')]["audio_min_freq"] == 2914 assert test_user2.loc[pd.Timestamp("2019-08-13 15:00:00", tz='Europe/Helsinki')]["audio_max_freq"] == 7195 assert test_user2.loc[pd.Timestamp("2019-08-13 15:00:00", tz='Europe/Helsinki')]["audio_mean_freq"] == 5054.5 @@ -57,9 +57,9 @@ def test_audio_features(): assert test_user1_dev1.loc[pd.Timestamp("2020-01-09", tz='Europe/Helsinki')]["audio_count_silent"] == 0 assert test_user2.loc[pd.Timestamp("2019-08-13", tz='Europe/Helsinki')]["audio_count_silent"] == 3 assert test_user2.loc[pd.Timestamp("2019-08-13", tz='Europe/Helsinki')]["audio_count_speech"] == 1 - assert test_user1_dev1.loc[pd.Timestamp("2020-01-09", tz='Europe/Helsinki')]["audio_count_loud"] == 10 - assert test_user1_dev2.loc[pd.Timestamp("2020-01-09", tz='Europe/Helsinki')]["audio_count_loud"] == 6 - assert test_user2.loc[pd.Timestamp("2019-08-13", tz='Europe/Helsinki')]["audio_count_loud"] == 17 + assert test_user1_dev1.loc[pd.Timestamp("2020-01-09", tz='Europe/Helsinki')]["audio_count_loud"] == 7 + assert test_user1_dev2.loc[pd.Timestamp("2020-01-09", tz='Europe/Helsinki')]["audio_count_loud"] == 5 + assert test_user2.loc[pd.Timestamp("2019-08-13", tz='Europe/Helsinki')]["audio_count_loud"] == 10 features ={audio.audio_min_freq:{"audio_column_name":"double_frequency","resample_args":{"rule":"2h"}}, audio.audio_max_freq:{"audio_column_name":"double_frequency","resample_args":{"rule":"2h"}},