docs/notebook_version_standardizer.py,sha256=lR806iS4DCqZQCsALT5xZOhKUd8dkMjes4qR3evDJks,5646
docs/source/conf.py,sha256=SSWypD-YPoDyWmVMWqrEbu4Fjr1cIX7pgLevXm022LI,9937
docs/source/set-headers.py,sha256=rRTRe9tdNRYEIrmnvw-zgrYTG3ixE9Y5wkoXhg1KEsk,142
woodwork/__init__.py,sha256=2_IJ2OpwciYCM5TjkSktEriUogGpc59I533xg7jmkhs,1037
woodwork/accessor_utils.py,sha256=5zbZRdBSmWX5f5ZW5GgxbdhDVYQ6FJuBB3jC2KeFRQQ,7888
woodwork/column_accessor.py,sha256=nx_FiTzzNXhF-2RIy9INLhqBrpmqlrrp-tDxL12ojkU,20419
woodwork/column_schema.py,sha256=C-NhqpK1_wJmXBWBUVMIUXR2EFN8aNRqR3dla-8EvXI,9216
woodwork/config.py,sha256=SkU60UukJ5euIpeP8F4AYrHvRHk8i6eIb3HSPq4cK5Y,3293
woodwork/deserialize.py,sha256=iwHSTK8gcLOR9CUN_-KmELsix3CFNyd50dxSpN1k_lQ,2769
woodwork/exceptions.py,sha256=5klvT2063JoiiFCYGAqnoyaXg__Q6UeOJMxss6yi1UY,3062
woodwork/indexers.py,sha256=XkcpTZNsOFHwD1loNXcYLDGm3fcW-A3gdLknmg-zBOI,2091
woodwork/logical_types.py,sha256=vHf6SVw4tOQfLX5IdgTvQx6G_4XcM35EscZMzSkfR88,29891
woodwork/s3_utils.py,sha256=Ld8U7v3CXzJM8U4G1MnsBR87XRHNxIYfstKGjQvDLZ4,1926
woodwork/table_accessor.py,sha256=JSZAuSNFuWLy5GRXJjS5ZjKOz7cI_Bk0W0ULBwu_NhE,89481
woodwork/table_schema.py,sha256=RzSMAfFvQDd7SX-vyb7nG3W8fhH3OMaUxLlJRCXkJ0A,33231
woodwork/typing.py,sha256=Hb6_9Fa2M8GBA_TEOWYYpHlxzDYS39Ie5Z4avScSz10,398
woodwork/utils.py,sha256=Ex9_arLLmvWlrN5hqaq0xsSYARUARpERrQaNdAoyapY,22785
woodwork/version.py,sha256=NGIecTe1EEM7UeBjKSJ4vCWuGDWF1ZX4PckW2Eguxps,23
woodwork/data/1-1000.txt,sha256=gNPLWDaSts3o8GePjlTB7WPutxiD0Ptzyb86hizMjvw,5840
woodwork/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/demo/__init__.py,sha256=C5p1St4fPNbuKI7tUBPkZYBaJWcUnKHHqhYcvWA_Yv0,47
woodwork/demo/api.py,sha256=oFfMlMMHUJUmBPfVezRpbK7VYzw3PntKJSGmDumBJgM,60
woodwork/demo/retail.py,sha256=3clRCvQ39D--8tk2cYlGFXxIRKRAtOLQvvTULx4klxw,2501
woodwork/deserializers/__init__.py,sha256=-llCpCECc1MhrkvvZgGTuenPOR8D6bR2NWApMgLOjOg,494
woodwork/deserializers/arrow_deserializer.py,sha256=uLtEec1G259ZrFY8kBPug31oy0Yf8NN2g55-r4hzDA4,200
woodwork/deserializers/csv_deserializer.py,sha256=QG5nhc-XWDQjkWMgfH0Jk_9Scb_pnhML1rXMM9hoEm4,354
woodwork/deserializers/deserializer_base.py,sha256=1yxrPWn5X18r899wPNCqxDeGNgPvAe0lYiFrpGiIlMs,7433
woodwork/deserializers/feather_deserializer.py,sha256=Fszq-u26yVOz55mg-f2bKf4Y3gzyYIcHNKwEpGWTF20,329
woodwork/deserializers/orc_deserializer.py,sha256=DvJ0uR6EE6XyVyakbOpiIN8Lmg3lAMvlYUIKoP7JNl4,313
woodwork/deserializers/parquet_deserializer.py,sha256=ec3ImenLxfLx5g-FQtlj4cLqC7_Jz5aM479-c8pTUcs,3409
woodwork/deserializers/pickle_deserializer.py,sha256=hm2fIs80w3rhwZpqqdLbzBo-d6QNExqc4T5Jpp9k4XA,340
woodwork/deserializers/utils.py,sha256=O5jzCDMy5ETbBXJVctTTgJyIdQCnzdbW_9Rbqpf5z1o,4377
woodwork/serializers/__init__.py,sha256=coZoIqDn_7uMUXJMeHRRCmE9_yXeTAqdPE5Jnlp5p3Y,453
woodwork/serializers/arrow_serializer.py,sha256=NUdLAGJfWSNQkVMAq55YmX9elnqdHbiXhvzbIBgxjYY,180
woodwork/serializers/csv_serializer.py,sha256=ez1DobnZYwMKSXFClT1dnbMl1OiPeZ39-gQ0J3lyNYI,2656
woodwork/serializers/feather_serializer.py,sha256=IKHZpDurM2y5KkwzZUwAS3pKNYxDEvePdOOi-hvHZ_g,654
woodwork/serializers/orc_serializer.py,sha256=fo3CUjFsywLAfOdpP6L1D0xPXmRvYBu84ByRtYRVRaY,1384
woodwork/serializers/parquet_serializer.py,sha256=dsbZfIdqQpggbMMixQfrGgpozNQYM_0ILAYdN2UIUGI,6006
woodwork/serializers/pickle_serializer.py,sha256=aWNJgCqt3mMlFpVivySdl6wEVMS1UiVCTgCSXVimJAY,532
woodwork/serializers/serializer_base.py,sha256=Mrp_M0oZV8Gg9d09Q_Kki2aj1_bjoohL5aY0QwJ6Nz4,7893
woodwork/serializers/utils.py,sha256=q6pht4kWXgcTk_iLBGqZEeigw9ARWOtCBrrGpxjPlR0,851
woodwork/statistics_utils/__init__.py,sha256=pnn9Ep2s6KwOqeMXCtNEEaw7QzFvF3epJ0Nj5AigRXM,1288
woodwork/statistics_utils/_bin_numeric_cols_into_categories.py,sha256=cR-RrBXtloQSSn6vduGvoqAIxirZ878u506D01dBbLY,1007
woodwork/statistics_utils/_calculate_dependence_measure.py,sha256=DYqmNx7TKMFb8KRoc8frcP5MRHI2Mtd3hOJ5ckqKSyw,3503
woodwork/statistics_utils/_calculate_max_dependence_for_pair.py,sha256=7jFYzs3pCmDEq6jfg9b_puIZ30GkLrx47dNtEijgTzY,1784
woodwork/statistics_utils/_cast_nullable_int_and_datetime_to_int.py,sha256=q6R5xbdtrT-HNPCIT_Yk48nBuDbEudW080uKSGwXiSE,675
woodwork/statistics_utils/_convert_ordinal_to_numeric.py,sha256=msFqV2xJ7wwJ11n2SmdQ3nD6PVIrPXkgzm3sJ2Mx7q4,645
woodwork/statistics_utils/_get_box_plot_info_for_column.py,sha256=yMLhlCh2ZvJEdUSvuETAwNB2Trvx9jk4gnMiznrxHXw,5707
woodwork/statistics_utils/_get_dependence_dict.py,sha256=soRPvpWWwuVJ-QvjJz-PKgpB5TJAoA40qMVWSN02vkw,11949
woodwork/statistics_utils/_get_describe_dict.py,sha256=W9CjrJxyLalUT_7pg1wnULWNbEN_B09XP1Zgdkkqll8,8989
woodwork/statistics_utils/_get_histogram_values.py,sha256=tjkhE8QY1jmdzJX03sqMZWdxuajuJISbGR2jLd9RPcg,766
woodwork/statistics_utils/_get_mode.py,sha256=MxbkK0sa-KDVdocwsQ0UKjuc7jRu1a0LCw70MV8yQvg,172
woodwork/statistics_utils/_get_numeric_value_counts_in_range.py,sha256=qW54nGlzGOJWnE4coc0im4fJU1eIV7JlGcNCTC5OyNI,980
woodwork/statistics_utils/_get_recent_value_counts.py,sha256=j7MyifX4q0kIrJDbsZufIGfvtTl61wbSgNvjJkkKxjk,823
woodwork/statistics_utils/_get_top_values_categorical.py,sha256=F01Oc3WBwgMucc5JeUW9UOA_1AVAGOjaoNd5TsxgZuM,734
woodwork/statistics_utils/_get_valid_mi_columns.py,sha256=91zDVrx1GvhKR47hanpdRFfoC3BfB1Zty4maVzvnZew,1135
woodwork/statistics_utils/_get_value_counts.py,sha256=KJyfmae5PHFD-mZsYtkXfaGifhOxpAUv0H-T18zPD3U,1919
woodwork/statistics_utils/_infer_temporal_frequencies.py,sha256=9yT2OHgjFXkyr8LxNj1oTzkNKc7vwjS13YjQGbszONM,2435
woodwork/statistics_utils/_parse_measures.py,sha256=USJ9bTQxVipgRhUyfGOvTa8dsnXv6CF8Y2evzFR15fY,2125
woodwork/statistics_utils/frequency_inference/__init__.py,sha256=BkDXYxztG1gBaBsF3gbn3WaXMw_9B24nBu9KS7upLNk,100
woodwork/statistics_utils/frequency_inference/_clean_timeseries.py,sha256=MJuMj5iOAdz7h2IbyJBTYVvQS9ansERyyR5uB1Wd904,565
woodwork/statistics_utils/frequency_inference/_constants.py,sha256=0AZt5JaBZSS2TtMgiH1tr_ZP-Qd1wQH1OAnC8TDCsWs,188
woodwork/statistics_utils/frequency_inference/_determine_duplicate_values.py,sha256=UOSrYhZ-rE_gBX66M6IXxgMCPoGz2BBf5okpoX_f8Ps,1335
woodwork/statistics_utils/frequency_inference/_determine_extra_values.py,sha256=3Scjx8H9j_bHiS86yADSBAnNkG5r7Lrc75adIvM9bg0,1611
woodwork/statistics_utils/frequency_inference/_determine_missing_values.py,sha256=hQZfL0euTvpcfqvusvunMrp2XxdFTrotCHr4pCGPpmU,1603
woodwork/statistics_utils/frequency_inference/_determine_most_likely_freq.py,sha256=px11ic7XrAvrVjMf3qgsOp73eGsEQ0rJd6C9IBtC6yM,1599
woodwork/statistics_utils/frequency_inference/_determine_nan_values.py,sha256=48u3Ji-ybwjF4IHq8QyzzhTDHVaYCwNKkN0JUoW66eo,949
woodwork/statistics_utils/frequency_inference/_generate_estimated_timeseries.py,sha256=v0tlL39-_eJVs28AQbajnhKc8g4D7uNBmpvkjUDGmos,575
woodwork/statistics_utils/frequency_inference/_generate_freq_candidates.py,sha256=MMShdVWX6MumzyMuZY1cYyRTipv7707703kglNjtSCA,1668
woodwork/statistics_utils/frequency_inference/_get_ranges.py,sha256=RW4BPpFLNhWLV8cQl_6HiJZrru8UgVqi_1WiUnJNyWE,764
woodwork/statistics_utils/frequency_inference/_infer_frequency.py,sha256=HXERa8Oe3BQ3ZbZ7Fu1t1SHOMgR4Y3zyF03BDROHfy8,7652
woodwork/statistics_utils/frequency_inference/_types.py,sha256=TZf4OrRlFUFPJ-toZF0ioF58fc7tAkGXeKmJRykeCq4,1178
woodwork/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/conftest.py,sha256=yW7cqAiBnUhHOF6Bj7it_nUUtaiMcnaJ1THec3NSqow,31585
woodwork/tests/test_config.py,sha256=dKpDtHlkpkbEBZiQFucID2KrWjoO_OeL78qDutz9p6U,2435
woodwork/tests/test_version.py,sha256=HaOMSqq-pGoMh9188PPcHQsSVG6K8CrhCEGNa2MPoLk,90
woodwork/tests/accessor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/accessor/test_column_accessor.py,sha256=JN2LEq7bGCaiGhRlZjXwoJSKDMsXXOQ-Myy-QCSvfvo,35764
woodwork/tests/accessor/test_indexers.py,sha256=TVJaLChycOy6m3Cusc3SX1-IeNjvL4xiIl6POiQY1rk,10559
woodwork/tests/accessor/test_serialization.py,sha256=yJ1nJ_Znum9Z_5gxSqXabZMpdfIJFJrELn9VJC4Ha3M,40916
woodwork/tests/accessor/test_statistics.py,sha256=A95aLEovXKtNiVcQDFmMLh4nbsZzwaczXq5EOC_Et3I,74718
woodwork/tests/accessor/test_table_accessor.py,sha256=J32Dgrdf_VFaweTu15_DkFAegWtcIFHguLiUXEhrbnI,115026
woodwork/tests/demo_tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/demo_tests/test_retail.py,sha256=QMD4b7g85eJA2LMLpeJ8csrWQdojPuzw9kw3t2g3G0c,1729
woodwork/tests/fixtures/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/fixtures/datetime_freq.py,sha256=XbjNcRKmcTqqeVHDt1HQraFSTksujTrVeWAq04WBhFY,21570
woodwork/tests/logical_types/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/logical_types/test_logical_types.py,sha256=-QrTzOZkbatglwEk7-L12YoKONi0Tyyx-hGkjZ3fUIw,30265
woodwork/tests/requirement_files/latest_core_dependencies.txt,sha256=DGGmw-RJrhqdtbRw5t3rv8b5R-v9cCv2IOQuSB6K3mQ,64
woodwork/tests/requirement_files/latest_dask_dependencies.txt,sha256=gbmAwLub6P-CWjyHkGVD1yAcEazbrXruXqJcLywNFBY,93
woodwork/tests/requirement_files/latest_spark_dependencies.txt,sha256=Qn2HFh8WcmD8mBx7ueO_x_dNcGQkl2qs9fAfEkmPJwc,79
woodwork/tests/requirement_files/minimum_core_requirements.txt,sha256=QIN_u8MCgPiqSJlBPUS59rFMxT2myou182p5lsSFyyw,69
woodwork/tests/requirement_files/minimum_dask_requirements.txt,sha256=WPgK-kNRS_4tAd3wZdDegS0zsizEk2bbeYPKgEGUO9U,96
woodwork/tests/requirement_files/minimum_spark_requirements.txt,sha256=W8nte1XAqEeQ0T_WaIPvTwCweDKQdCjqvja7fDk1Y0k,84
woodwork/tests/requirement_files/minimum_test_requirements.txt,sha256=X-wMYfBp_IqnwAsp-2tbwbEAnVCF7sI6sPUq-E9w9Hk,118
woodwork/tests/schema/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/schema/test_column_schema.py,sha256=EzmGmmQeRkTnCMHEcxc5EzNXPVS41cSFGto28RrMvsQ,17223
woodwork/tests/schema/test_table_schema.py,sha256=ibzXc1E_oXP2ACJE8SGKleGiMkyP4t2h-8aRL6WCWVY,45067
woodwork/tests/schema/test_table_schema_init.py,sha256=p2q0M56Kdp-0eFAkA7RqLVppJ5sx2NF5rvtCqWnhlD4,23805
woodwork/tests/statistics_utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/statistics_utils/frequency_inference/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/statistics_utils/frequency_inference/_infer_frequency.py,sha256=90B9N1hIHHhYQhceY12G3mDO0j_9PJcOzTYrWbfOlEs,5924
woodwork/tests/testing_utils/__init__.py,sha256=nPpfqZD01g3ZmPIaOOv8GIjK_e0KR7gHmYEFgUWcbQs,794
woodwork/tests/testing_utils/table_utils.py,sha256=kZGbVdrpdvw44NSgyBUIDlTMb8ZLUn-mKAbdpJ94mKk,4007
woodwork/tests/type_system/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/type_system/conftest.py,sha256=aTja52h8JZlOkiRTEkB-JOy1FJU79UrfRGYxGQveGmQ,9468
woodwork/tests/type_system/test_custom_types.py,sha256=xAzr3YDvXxUifcfymrmcwvAF-85PB3eeCT-xt1EyAcM,2224
woodwork/tests/type_system/test_ltype_inference.py,sha256=n4KV9gLtsVw6oYyjRiy9YzWfRQguX08KvsKu8ouWgp0,9620
woodwork/tests/type_system/test_type_system.py,sha256=5nwA14PYRV-hrr50Di0i2GVge3swiMYmqyb9Ix7UP94,13507
woodwork/tests/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
woodwork/tests/utils/test_accessor_utils.py,sha256=R2uQchVS0OlA0tPCnonC7MaWQeLIHUB1wqFll5VVfGg,11336
woodwork/tests/utils/test_concat.py,sha256=PidHavxY-WCbsMzTa_AHJfqlhXSG9ik2xG3eVr4rZnY,17136
woodwork/tests/utils/test_read_file.py,sha256=q-dn6nCm4syIKM6b_AtBfOmQE4wifXqZWT9RoZQLzQE,8554
woodwork/tests/utils/test_utils.py,sha256=6FJVTxLRKWWl6Z2my4bVdP2o5IeK4586yZQ4IGrKAp4,20501
woodwork/type_sys/__init__.py,sha256=O6wAsTvCKW8FfGSVYHMIBC-Fk4nJaN_ZkeUT-fd8fZM,54
woodwork/type_sys/inference_functions.py,sha256=EX0BKdilVlW4EvSNNozCg9MM_AMNBVI4MKc9PvZ5lhc,5160
woodwork/type_sys/type_system.py,sha256=QG8VNKXKBwQkBqPdxi8cf3LuqC5v3gSqpAcBsKtjWOw,15972
woodwork/type_sys/utils.py,sha256=qzK33uvlnL5bEU8cyRg0paIXGqc9nVYoBS0BLMRWbtQ,6822
woodwork-0.20.0.dist-info/LICENSE,sha256=o6H_xIVzyuQDrCFJ6UrxstHhKN3ojxziBJoxvMGD4bM,1513
woodwork-0.20.0.dist-info/METADATA,sha256=-wUlW7cSrhLgRWIAnU52xnZZJ1NFwDaeBPDSjDX6Z_c,11437
woodwork-0.20.0.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
woodwork-0.20.0.dist-info/top_level.txt,sha256=FXNVym5TsyYEW6TSIg0d1RgTeWJ6nGViDqSmeZQJtTw,14
woodwork-0.20.0.dist-info/RECORD,,
