tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/test_datasets.py,sha256=M88BM0RRsI6g89nd3S1HGwNVrirLY1Rx9tw3M5_cnt8,5321
tests/test_preprocessing.py,sha256=n0HsNOrqv90hBxHZmEaMpXAH2fVexIEkDX5PP5fzYXo,25868
tests/test_query.py,sha256=Qq8fv39o_70qvu4Pi5YTbr_LYJoPVTU6XWlsEVK4s90,15404
tests/test_utils.py,sha256=Gi12K9mXEg8nEooyLuDGlb7zXbuRi87H7SEq38Hbh8M,16787
tests/test_word_embedding_model.py,sha256=dDmqlXm7TEXMbznOTJUglDiiBGaaxqxtzhN7Oknblyc,8459
tests/debias/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/debias/conftest.py,sha256=7Mp_EBPpdX_NrGdps1Diw4UCLiFUxx2jXp3OL39CEdw,6318
tests/debias/test_base_debias.py,sha256=FP4OvXBVvR0sNhVIxgGyiyiJNIIA3l2R-NlXCe2Aqzs,2310
tests/debias/test_double_hard_debias.py,sha256=Ej08BUOYJzxL-NNHdifvRBJrAQ4FBVo4W4wC4GR1YFc,9191
tests/debias/test_half_sibling_regression.py,sha256=qsjQvfq6Ue5pgBaxi8Oj9Ol7BbKXm87-AItOP4AfgSY,7438
tests/debias/test_hard_debias.py,sha256=JCpy4lglDWND9LNF70TNz_nh4JWgDbRPBU7L1sygcSc,9143
tests/debias/test_multiclass_hard_debias.py,sha256=S1u3DDC_CGBv644ARxv0_YtWh_pgiiWSEKOO8XbRAfc,9068
tests/debias/test_repulsion_attraction_neutralization.py,sha256=4yR_LH8Drgw8MU9HauFtQIqzHu_HKqGS2se9adhnNlg,3565
tests/metrics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/metrics/conftest.py,sha256=qd6PFYkoASh6VZkG0UgxnvuqiEOiDtzDioLNmDDqEXI,3957
tests/metrics/test_ECT.py,sha256=xkitTrfEw0Trhjrugtl0xbNjCPOLgkQfcUoLeiRyYoE,1358
tests/metrics/test_MAC.py,sha256=wWeBrEU8BuXsHdbhul8sHquLU4gJhoMfmaxTbxClt7w,2303
tests/metrics/test_RIPA.py,sha256=7R1yW20U8ed1AnaysdC1UG3u92CDUq_W1jleveBcWrY,1235
tests/metrics/test_RND.py,sha256=098HVN2B8cVFLaCz6NsclYj8bRMeLuuoXzQTCbT4oD4,2443
tests/metrics/test_RNSB.py,sha256=UV1PtzxIFEIMJ2VvXyOZIs8Wa3UtYL-vnkApE6ZUhw4,4427
tests/metrics/test_WEAT.py,sha256=ST71NQ87OgXv3_wyO4WYPd4PM1qn29vQ57P-CJ0ktNw,2769
tests/metrics/test_base_metric.py,sha256=-A6dsaQCgZ49vAfxG2UHaHPfPgo41tWNeUZtCNkSwTg,3712
wefe/__init__.py,sha256=4fLydo5fF4TO6r2cqqFJxWHc9t2EpQLAfX_D48V0wWc,603
wefe/_version.py,sha256=pMtTmSUht-XtbR_7Doz6bsQqopJJd8rZ8I8zy2HwwoA,22
wefe/preprocessing.py,sha256=qowk0imUjFnynRe9O_vU4ZbfdPjsj9bDuCDdsm7SOag,24386
wefe/query.py,sha256=1i6yxc6JVtvpqMvpteSekQ_RbbQU6QMPuYyfQ3vsE2Y,14507
wefe/utils.py,sha256=_zatQcB9hv-sSjueMVOHxoTBMppNijhivJlO3mRaT_k,21584
wefe/word_embedding_model.py,sha256=DQiF3N8yZ7WpQZLte8qFJjc_h6Aw1Mcp1auWQgrlxMU,11540
wefe/datasets/__init__.py,sha256=Ye4WB8vbrtcMgsemhiHRi-K6XJ4q2XrE1K1ygAMRkw8,180
wefe/datasets/datasets.py,sha256=qHNI1dnz7dXeMZQmbSI8j4BOnqecqNeeOOhZ7PSaFXc,16201
wefe/datasets/data/WEAT.json,sha256=-NM742SztWNAYyDkBzVcjdLg0fVo4vAzJT2HcNrVKVM,6885
wefe/datasets/data/negative-words.txt,sha256=nQL5OE6sbMycH_dPe2v70D6_TTHwxG72N8AIFw-a82g,50842
wefe/datasets/data/positive-words.txt,sha256=TkrjDdisNGLT68qBwayQPYyRk8v9hmIaHBrCO5KpDtk,22393
wefe/datasets/data/test_model.kv,sha256=AKtDzEwDgfLB6cAnuOpCtRQUEkZh0zIjn8efLSueBww,16843925
wefe/datasets/data/weat_w2v____old.txt,sha256=TatNOmBLLwIdV8mZV5GatNAhzmmdKKrR2BaOVMdUkn8,1216219
wefe/debias/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
wefe/debias/base_debias.py,sha256=y9mGzGdWjv-T6ofmW83j5xSGmmPUYxk89YYNyAco-aU,7481
wefe/debias/double_hard_debias.py,sha256=t2_gO7NTAYAygOa66t3NGV2tCz7WQjBs0FCDQUtquSo,20612
wefe/debias/half_sibling_regression.py,sha256=aPr1mPjb6T7uQvu2AKX9D270_yUDz7IOdM2aUWpu0Xc,13714
wefe/debias/hard_debias.py,sha256=3RlXv3Gj5GKpeDqNMtsdhuo6yW1ahGwJ6oKxa_CjaW4,19140
wefe/debias/multiclass_hard_debias.py,sha256=PZtHLWafKv5oWw5S9qc3NiBZRpNu8cl_8hk-HxkOtv4,16065
wefe/debias/repulsion_attraction_neutralization.py,sha256=yYW5KjLUPmkbfbJGUW-EDhIo7G6ngI3yTujgrCW5Ppg,22646
wefe/metrics/ECT.py,sha256=q9Uii3Zy_iNPcBuDudgqJXdmz2XZCbVnR0KlS5UIZ2U,9347
wefe/metrics/MAC.py,sha256=DVQwCrZ6WpaB_eNBy4OluHNOojgw7HrzRIMjP9ms0QM,21722
wefe/metrics/RIPA.py,sha256=-8k60FRHlkDbf0W18lwAwj35cGEtYCaffc7yVYb-t5A,12808
wefe/metrics/RND.py,sha256=B7jx0OQ2Zf0Ncq0flC12YaIryslLk8aohXly8YL6AvE,13095
wefe/metrics/RNSB.py,sha256=hqz0A67UY5cq9_osg1bI74CWe2-5Km910Y3YrZMpy5o,38414
wefe/metrics/WEAT.py,sha256=4evdnEPGNMXCvJlr443D3HcBF5XuwfTqJntQLW_r32I,20940
wefe/metrics/__init__.py,sha256=jnR02mcHmGa0JoW4HGtDYSmistRmPvv9hJ8NtsHysf8,219
wefe/metrics/base_metric.py,sha256=vwbAB2bU1qXC8M-BLWwGR_Yxo02i8tOEKd6xYXo6xFA,5641
wefe/metrics/example_metric.py,sha256=rPGr-Fri7kqsDqtNJB2JE8tuKGtf8AR-TvjwYBIC3rg,8205
wefe-0.4.1.dist-info/LICENSE,sha256=j74E0MLpuIGPV3Ru0gSntIjBIMmgbP6m039z6tC-pII,1087
wefe-0.4.1.dist-info/METADATA,sha256=mpYhvxv9I-f4jItSnVrXJkI0-X9WqAFU12ty0hQ5P7o,11182
wefe-0.4.1.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
wefe-0.4.1.dist-info/top_level.txt,sha256=9f6h1cCwF_pTWcKBgNc--kAAhTbUHogkRqwTeqC62h8,11
wefe-0.4.1.dist-info/RECORD,,
