Repository URL to install this package:
Version:
1.2.4 ▾
|
pandas
/
RECORD
|
---|
pandas-1.2.4.dist-info/WHEEL,sha256=YuK2D4GEfn5egRtpxwtNXqS6oo6NJGt_NUlX8IjB65k,109
pandas-1.2.4.dist-info/AUTHORS.md,sha256=6szZqPe-0AWpJveYBjdiqrY0UY60xEKegopyvoZi7TU,2284
pandas-1.2.4.dist-info/RECORD,,
pandas-1.2.4.dist-info/entry_points.txt,sha256=OVLKNEPs-Q7IWypWBL6fxv56_zt4sRnEI7zawo6y_0w,69
pandas-1.2.4.dist-info/LICENSE,sha256=B0kLFpnKpsig34ukMJXDe4alFNPeO17lMHHeUD3LEH4,1634
pandas-1.2.4.dist-info/METADATA,sha256=tPcE_1jYDfpWbSM5e67D0A45USoSeU1Z4abVNShXAEk,4679
pandas-1.2.4.dist-info/top_level.txt,sha256=_W-EYOwsRjyO7fqakAIX0J3vvvCqzSWZ8z5RtnXISDw,7
pandas/_version.py,sha256=8kKtXpx7j6x5AoCLQiRav5gxCnKBvcAq4I-LwK1m9sA,497
pandas/_testing.py,sha256=JaPrmAJtm_d74EDhQKToq-CRWMnClMaE4S2IsnSIIwo,96580
pandas/conftest.py,sha256=o47vSnNkHT72PP2Rp-MfCzosLR3jFCHUAvogptYEeLY,37128
pandas/testing.py,sha256=R-qMoJX9R-8-XhM57EirjGYyY3hRnbqHlR8PgcP6Zk0,312
pandas/__init__.py,sha256=KSqlqiPOMghLGG4CpBoxpAyzr6_8X3tRVPxV5VcRJFQ,7362
pandas/_typing.py,sha256=IIi_9OF47qxsKBQMNMy9zbglrxsh_Ox-V7N_C2r95T0,4865
pandas/tests/test_take.py,sha256=-BQ9IT_m8KhwotGfRL6p2QbaoUBxcRpsM6YQD1vXMOA,16875
pandas/tests/test_aggregation.py,sha256=1_GdPm2RQ7Lcb4v8CEDBXg_4VS76hc2s8g2uj_cgrOw,2772
pandas/tests/test_downstream.py,sha256=7FeOwlfj_6j6zOO8jQan3RqZ8DHP0deeTaRrpsgQG2w,5070
pandas/tests/test_algos.py,sha256=G4KbKRm4peULzxWhYIRrNqUUB74KvzN9B-zkKmbfHfw,83909
pandas/tests/test_nanops.py,sha256=acg5JRR15h_FfS-THAp0IvndMim2qFO-xjYC9z0lNZU,38436
pandas/tests/test_optional_dependency.py,sha256=5E8DOUBXInOLBEt_cRM9AuqW2Zv48OEjfmWf0v0F9GE,1518
pandas/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/test_sorting.py,sha256=Aic_RZRn4Pph0RSd52HAWxU5I3n5QpgMLehpO5tXo6o,18315
pandas/tests/test_register_accessor.py,sha256=wf9JnlWOm2gNlHFLVa8m3jo7uSwPrV6bfbee6X5NHsQ,2663
pandas/tests/test_strings.py,sha256=eRbBonY9X1KpG83GpDnEdbH6hSuWy2wqlLjUGrld6w4,134841
pandas/tests/test_errors.py,sha256=0AJX0jzXB-KP8NrSA-EluL6O8INGVNJy6_koOQCEweg,1670
pandas/tests/test_common.py,sha256=NO55Vc8QTsG4Cv_z-32fniq6I0qQPy-HkjLMc3E_gfQ,4495
pandas/tests/test_multilevel.py,sha256=GWR3IQsePTZdQiNWRrBRRJQtrnM-APZNTCcdObyTTEY,14320
pandas/tests/test_flags.py,sha256=Dsu6pvQ5A6Manyt1VlQLK8pRpZtr-S2T3ubJvRQaRlA,1550
pandas/tests/test_expressions.py,sha256=jX3Hk5qvn65vVQ6eYfhrKt3-jLDOcRt-Tlvt46lN9rc,13414
pandas/tests/window/test_dtypes.py,sha256=u9l_1J-gCehy5DOsdHvfHXlVxcnGnCa1esAavYp6mPY,5064
pandas/tests/window/test_numba.py,sha256=UZdbNMWjO2OwgKumFnl-zNvLLRc3HOiYk8mjulNXp0g,4370
pandas/tests/window/test_rolling.py,sha256=f7qpfCxvmimT56bP4li0tCB_N3cwkFSPpKqXUacBcGw,34932
pandas/tests/window/test_pairwise.py,sha256=I8W4iInD2X6FNHxjOGqgSksFOwXoiPwWoFc31aPsYjs,8724
pandas/tests/window/test_timeseries_window.py,sha256=xQAhtKXA2QH56jj6u46HdM9wWaD9Ms-JmEs2tRUlVFE,25075
pandas/tests/window/test_apply.py,sha256=TmKplJzaMWigloT2CaM2Rgz4QHW4pxvsEpW0N9-ojqc,4869
pandas/tests/window/test_ewm.py,sha256=PPflJAb5o8gUQ80zffX14EmZ76hb7pYWHDLW8rGwCtA,4117
pandas/tests/window/conftest.py,sha256=8s4ufqzuLJ2lLqjDAZCUQ3hh4M6R_mQHi1yjfdGz724,8910
pandas/tests/window/test_api.py,sha256=o3iZPASAmDtxq0wpFHfEVunpIBEj8QYK8On6p0CscwM,10064
pandas/tests/window/test_expanding.py,sha256=iRUpQVrZ6WxyHHxMYnLkQ_dUsGdgmhYyPlrcpL2QPUU,8137
pandas/tests/window/__init__.py,sha256=1jg-FfAkeNqq2AoynrB6nQ1UCUATOF8cVYIaIwPfdTs,196
pandas/tests/window/test_win_type.py,sha256=vqMyDmIby6X6lwY7ihFsX7PudXGx7iiYzT9CDgnTebo,3634
pandas/tests/window/test_base_indexer.py,sha256=lN5qIfqWvUTnBLO-7_lU0HFf9TGoASEVdxwkcSorlYA,9844
pandas/tests/window/test_groupby.py,sha256=I9308aQhgh36F6_EMAsoPoaC6xD0L8kQV4MNcG9LSeM,26540
pandas/tests/window/moments/test_moments_rolling_skew_kurt.py,sha256=708JmdaXAjhKqZf7shLBy_xGdqEBSBGjQ8IZwSrWzUY,5409
pandas/tests/window/moments/test_moments_rolling.py,sha256=7k4-WTGhWdNcajGgKPAAGR8jRtju_tjFTyP3aotPzZg,15849
pandas/tests/window/moments/test_moments_consistency_expanding.py,sha256=H9JvJFoPvJzHlPj-MU8gleyhPKeRmdg18h_V1hNYTHw,18385
pandas/tests/window/moments/test_moments_rolling_quantile.py,sha256=7ZA4JX-zbDQm5c_fRdwXWuP_1UC2VR_X6dGGa828foY,5059
pandas/tests/window/moments/test_moments_consistency_rolling.py,sha256=jD4JQoFpBYCd9OOblZuFU0AcUiIZRP3chxrxaJTXcn4,24236
pandas/tests/window/moments/test_moments_consistency_ewm.py,sha256=1yQhwx1fBUwIaN0wnzGQRLRD6n3tMjIvz1JQHMDPsRw,11399
pandas/tests/window/moments/test_moments_ewm.py,sha256=PG8Bp1f9iwQityez9s9b8wLhDmvRGhp4h_9vKvM7wcM,10398
pandas/tests/window/moments/test_moments_rolling_apply.py,sha256=O3_wdl7yUEGoTb3ui8m2yjVW5kwI-ezlDDH19vBYqac,4426
pandas/tests/window/moments/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/window/moments/test_moments_rolling_functions.py,sha256=gBDsWp-RzCVQk3io4LsCSMylIW9RCuHLquBMinkMc78,9762
pandas/tests/scalar/test_nat.py,sha256=mOk8FzdyPUmRfAoWsXvV5_4S9P22yYhESbGZJtiJYbA,19492
pandas/tests/scalar/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/test_na_scalar.py,sha256=A0YhmBc6KLnUXzIHEpWsOMhGf6DcQAcLsT8GhRUyfHs,7335
pandas/tests/scalar/timestamp/test_constructors.py,sha256=jkzSkejKtuPLo8n-X-MnqS9JK21l7OlGJnwT1-dAGiU,21448
pandas/tests/scalar/timestamp/test_rendering.py,sha256=2fNXt0m3iHEyZ9O-SDxqy1pRYtImjrqyz7zT2AFKfB0,3740
pandas/tests/scalar/timestamp/test_timezones.py,sha256=17tloz7V6rS4MvMbPY9cywkM-N2mHHUTnze9aOauBns,16145
pandas/tests/scalar/timestamp/test_unary_ops.py,sha256=qpTlVRcOuccyvYwaG_OzGnk38mHJ66dPA7XhKt0h1D8,15498
pandas/tests/scalar/timestamp/test_timestamp.py,sha256=WBVHvTkAuBCCRCxckl-XTKZq4QEEbXaPdIiNGoqKqQ8,20480
pandas/tests/scalar/timestamp/test_comparisons.py,sha256=LGSKFzq6LXf7SSf0Vz5fT5tSu1NQ37ZeomuqabSJ-jw,7740
pandas/tests/scalar/timestamp/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/timestamp/test_arithmetic.py,sha256=at8v0mvYbFGp1wdhSCQgsIfLutga6Dgg9AeflB2yL_U,9023
pandas/tests/scalar/timedelta/test_formats.py,sha256=afiVjnkmjtnprcbtxg0v70VqMVnolTWyFJBXMlWaIY8,1261
pandas/tests/scalar/timedelta/test_constructors.py,sha256=s4kvSCJWT4wHbBHTO_d0xdq3hutvsAAhfrnRZE9Yb9I,10256
pandas/tests/scalar/timedelta/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/timedelta/test_arithmetic.py,sha256=-PyoHZbz2FwPlca0NlHpheeP_xuTkYJdcC7JMG8-U0E,33789
pandas/tests/scalar/timedelta/test_timedelta.py,sha256=jFuAgqgtGsdGZh4X0_MmEii3q6J020zGIdaOu-p1No4,19427
pandas/tests/scalar/period/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/period/test_period.py,sha256=78VVavuR3p-amN3tQjJ5UO71UuQ2mDMaUOXv9nYIFfY,55158
pandas/tests/scalar/period/test_asfreq.py,sha256=lr2TRptofjvfPXJBJXZsAtC7J3viO_OD5AGlON3K5dY,36391
pandas/tests/scalar/interval/test_interval.py,sha256=2Arqyn1s0TYRZ3YbFCFI3ai8SeHW9dKFfCKni_CwfHw,8840
pandas/tests/scalar/interval/test_ops.py,sha256=ExrB4ZM0mLdWtzgpscSsLmErnrUeUiNNgkoDKJ1iwnI,2336
pandas/tests/scalar/interval/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/interval/test_arithmetic.py,sha256=7uTjmMGHglfoPUmrWdj1m8-SITqswKlHNJ-kFU7gIIE,1819
pandas/tests/indexes/test_index_new.py,sha256=O9DJcxFUufxQ7rXhSiqBBo16PhfsqCg7c1EJ8BPn9fY,4494
pandas/tests/indexes/test_any_index.py,sha256=Tu45j7fckXjmDk0mzlP056FRoowareNmYs2MZ7tf6yU,2871
pandas/tests/indexes/test_indexing.py,sha256=YP0YgjrOdsn2F2cnzO_b5xqf7pcjTWnIqdwr2MHWzVk,4352
pandas/tests/indexes/test_numpy_compat.py,sha256=qo1iZLgvmd3FpXGg6CnlB8Wggxn4JQFg9obBrFIIheY,3502
pandas/tests/indexes/test_datetimelike.py,sha256=IZ_En-0SFVYm0ghDgfq1JmodRYAdug6DVFthiEfsz44,6163
pandas/tests/indexes/test_frozen.py,sha256=dKwa03hmwCwtwCR7UeI42OQTVX2bkdRzNr6fqaDW4-A,3069
pandas/tests/indexes/conftest.py,sha256=uV_Pe0czLWK6rSwO9Ogu9HYc_pZlJEoiTywXJsxPWhA,723
pandas/tests/indexes/common.py,sha256=t4-PvFm3obPYWXRk-4y3YOiimC-HIYPToMkHu9i-Mic,28212
pandas/tests/indexes/test_numeric.py,sha256=7dwvhWo-pZbQnfdCBuonashqskDw1jj1Gg8oc20mWek,20600
pandas/tests/indexes/test_base.py,sha256=m6YbXWTbnwlpfcc0OhTGV2ojh1GjEiqSmpeH-3qYoPY,83387
pandas/tests/indexes/datetimelike.py,sha256=QytDPBezDgBhXOkupGgADhvnC0hjJcPLZ_tkgvaURdc,3542
pandas/tests/indexes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/test_setops.py,sha256=kmaz6igtsf9DTvNpgSQROJkYE-lkNoS5voIzYNCSUsA,15958
pandas/tests/indexes/test_common.py,sha256=1xHWOpfJQKEapQz8P3TtMOcpMeK_JSP0splwccJHcJM,14707
pandas/tests/indexes/test_engines.py,sha256=uHQgbxRCRZRh3AjEfnlV9uFH0J3Oxw1PLcfbDexI4kc,8656
pandas/tests/indexes/base_class/test_formats.py,sha256=sXXAaXS2b1BFM4OY51IRlfV93zKK12EtAuBVtjn6E58,5155
pandas/tests/indexes/base_class/test_where.py,sha256=uq7oB-lk7rsgYQer8qeUsqD5aSECtRPSEUfKzn91BiE,341
pandas/tests/indexes/base_class/test_constructors.py,sha256=xljOFhiirYC7PGxWP6Swgyio0PPRNBARmbAhUNObUBA,1402
pandas/tests/indexes/base_class/test_indexing.py,sha256=ujWqjVwLpOdDlVgGHFflBRTTCXZjo47qlQPXbcwup18,1450
pandas/tests/indexes/base_class/test_reshape.py,sha256=b3xsHbNrFQUqASzZBdgkpAnwiN1M8HO4RXpYCNLvbPo,1724
pandas/tests/indexes/base_class/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/base_class/test_setops.py,sha256=T2hHvIwVY2hvfhVtuxAkhmDevdDtdtf_n8wo52A_lzg,8588
pandas/tests/indexes/datetimes/test_formats.py,sha256=38OLZpQiVpdaicRXQS3xDQOIslWC7Ugl7Jol3nF6r5g,8836
pandas/tests/indexes/datetimes/test_fillna.py,sha256=eESnVTQ8J3iBL24bWKt7TmHxC5FJiLZMpKjw1V376qY,2004
pandas/tests/indexes/datetimes/test_constructors.py,sha256=a5PMubGAIVH-jH8YIsg1HUZ2ymc0cGLfaPpzUGbO4Is,41224
pandas/tests/indexes/datetimes/test_indexing.py,sha256=VVENJ1f-JhoXx6zObbHf9Uu62OPDMXXFUwWUQAJpcgY,27115
pandas/tests/indexes/datetimes/test_to_period.py,sha256=6AIWAkhRfc1Y48V8M4U8U-YhGtkszqV8bE6uhc1OwyM,6557
pandas/tests/indexes/datetimes/test_delete.py,sha256=Fs8qW4o5kuzTFhfbaDBJb4PgZNAnOTUMHwz21c6PaOA,4577
pandas/tests/indexes/datetimes/test_astype.py,sha256=u68y_ik-xpjspG9HZrzLz5MxM6-D8X4ECfPX7-OR55Y,11237
pandas/tests/indexes/datetimes/test_date_range.py,sha256=I931Nw91MWVDemzxWiKGYQKwO6FNxgZag8nJ-5Qhx7k,36687
pandas/tests/indexes/datetimes/test_pickle.py,sha256=LE3XZUEiA6Y5dlJSECpoBpSlo3K2FE690CA8UfTX0s4,1342
pandas/tests/indexes/datetimes/test_timezones.py,sha256=TeDu-2wZzTAfQUwaueD3lnoDuUr70yq_i70nUeWWCXc,44979
pandas/tests/indexes/datetimes/test_misc.py,sha256=aS6aRREpFZuBktZ1ednWfLjFxDshuhdhbv6-FISd3ps,15440
pandas/tests/indexes/datetimes/test_datetimelike.py,sha256=hak9DTm7j_K1QIfb1RyrD6_ek9vclkTkZ969_1iHwTc,991
pandas/tests/indexes/datetimes/test_scalar_compat.py,sha256=7qmQpW3WRXj_w0S4NUF85XaPCV2A9VET1Xm7OL6u-18,12213
pandas/tests/indexes/datetimes/test_map.py,sha256=nmKJgezj4TfRt8nz_q_D9avrdsNY5BBzVkqDwsmu22M,1345
pandas/tests/indexes/datetimes/test_partial_slicing.py,sha256=2iko5quJG56cLaWQ7gUiv7ifvZd-_CgwlkFU2hKEBS8,15023
pandas/tests/indexes/datetimes/test_datetime.py,sha256=BsuFmevYoyei-dlGnpbw062bznKtj5YedsA1T1-C740,15096
pandas/tests/indexes/datetimes/test_join.py,sha256=nEcCtKskiYkSDgrJsQsh2ziDrvyxowh0Y3RA_XfHb0I,4768
pandas/tests/indexes/datetimes/test_ops.py,sha256=Yhkl5FETjZlnL4DktHWhDJBGiZ9Ek2j43SgKaOu5DUw,14167
pandas/tests/indexes/datetimes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/datetimes/test_shift.py,sha256=tB8BCvo4A7RiCQ5mQ_SUEWHwnmUcHpNwySmwiwDCQbw,5459
pandas/tests/indexes/datetimes/test_setops.py,sha256=iBZZH2ZM1K7laIILf0uT0EHJ8YlP9nk-E9NvnfJJrTc,19893
pandas/tests/indexes/datetimes/test_snap.py,sha256=W29CgCAkZfDAfDoj-FwZuX8c4eim8ZpWlaI_HZoAOl4,1182
pandas/tests/indexes/datetimes/test_insert.py,sha256=DA15TFdQEsNZpa0Gii2aLrGOEen_1Ya23s1YFtHU6Wg,7184
pandas/tests/indexes/ranges/test_constructors.py,sha256=ahcA9tzihvTKphPw0v_kZ8kpNvLJgzjNvtoPkJWOG2w,5369
pandas/tests/indexes/ranges/test_indexing.py,sha256=6OlQBdHT_RItYG2CRl7XsNmRaS2tzWvSdXIAPnOc2FQ,3010
pandas/tests/indexes/ranges/test_join.py,sha256=PsNqZtWjHCsUYd2BtnOdvWFOC8ROp9Jt6VKt6jSEl-o,6098
pandas/tests/indexes/ranges/test_range.py,sha256=UhGXR_MN2zgIAN6Je9kzpsamjW2Ka-1yUzQ5Z6P8Yqs,16167
pandas/tests/indexes/ranges/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/ranges/test_setops.py,sha256=f-bNUQjhVcgOPkUaEyejU0rl5ZAsRswdpirkrZzCvvI,12685
pandas/tests/indexes/timedeltas/test_formats.py,sha256=x-gilVrRwSO3id0q3aHHB5TvzQQoz-oAY8scGZBxWqY,3280
pandas/tests/indexes/timedeltas/test_fillna.py,sha256=6GuPK0a8WYxwvtJxCJZH3D9kZ25DxtLayYsfMYQpf3Y,576
pandas/tests/indexes/timedeltas/test_constructors.py,sha256=ejsLzATlzdN-UgHoPjmjM1yj7AgynkCp49u4e14vDIs,8940
pandas/tests/indexes/timedeltas/test_indexing.py,sha256=_-BAUEa17Ukw5wcHqBwRExnbJ-vVS_pEPiaDj8OpJ00,10043
pandas/tests/indexes/timedeltas/test_delete.py,sha256=n-v2xaf1jdCzXQ_05Wxz-onCoQmSyMM_12nN1DYyqqA,2385
pandas/tests/indexes/timedeltas/test_astype.py,sha256=LTjzPnA_cPoqa3geSRng3Fr3q8-aEWHmJ3C94LJJkkw,4110
pandas/tests/indexes/timedeltas/test_searchsorted.py,sha256=cSRYSd2kFVytcMC7RGKTY8_T-0_JIZRH8xS0Xd--J28,1019
pandas/tests/indexes/timedeltas/test_scalar_compat.py,sha256=Mza7xJva41Hb2KmrTBnbBkINfXKnwGkOFna5yo0feYc,4487
pandas/tests/indexes/timedeltas/test_partial_slicing.py,sha256=sZThlTlo48WAghTX-zk4AOeyPtnXIdGfyOoFBRDXGeg,1347
pandas/tests/indexes/timedeltas/test_join.py,sha256=zRNfeQEaLj0ie7iTHfRVZouu7xuWI_rnkKgBX-_OFy0,1497
pandas/tests/indexes/timedeltas/test_ops.py,sha256=_MSI50PICbSyB5LUfhK-Ul2NnLHMLpyLb8rWKDvdrnE,9848
pandas/tests/indexes/timedeltas/test_timedelta_range.py,sha256=fYdCMj87OVuVB_Ar48OR4lplHtjtDNSp2Rs-w6TruFk,3258
pandas/tests/indexes/timedeltas/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/timedeltas/test_shift.py,sha256=CmuWUFPcF58DWcCC6FhkxOAMyWjAjUCmKVeGMNk_A6Q,2751
pandas/tests/indexes/timedeltas/test_setops.py,sha256=f7ACYYvsjgFJuENz3xakcllm1l7iMhq4QG3rEIfWTBQ,9482
pandas/tests/indexes/timedeltas/test_insert.py,sha256=asLCOJoXNCn22yvZsAF06Mnup4OgH8fUByEGB7FHakc,4132
pandas/tests/indexes/timedeltas/test_timedelta.py,sha256=kjEAZmXaC0-bRKDMMFIzZCV8wrdVJwcSVVZ_rxkZC9M,7290
pandas/tests/indexes/categorical/test_formats.py,sha256=-yHeiF6GeTCK8zbMrysXJhgLO2NfEX1b6Zg7kVv-v2E,5698
pandas/tests/indexes/categorical/test_fillna.py,sha256=XMcytTV-oFQEDRflF4XXe97S8eNkAh9u8eoZjg77itQ,1547
pandas/tests/indexes/categorical/test_constructors.py,sha256=SnW8XAA316B6qH2Vp3YpQ0qj88ztmqv1ZlMesxujNmQ,5372
pandas/tests/indexes/categorical/test_indexing.py,sha256=f2M9aePkaCkQ1Sqp0e8HHYj0G_1HlF0gaPLgw2A3SsQ,13908
pandas/tests/indexes/categorical/test_astype.py,sha256=FGqRjowzfRHlQyWFQaacSsgAZtRgfPf7bCSLXjDrinw,2338
pandas/tests/indexes/categorical/test_map.py,sha256=9mt17KKdLE9MeEQJTWe5qpooYEO6FxvAE3wVPDD5GJw,4076
pandas/tests/indexes/categorical/test_equals.py,sha256=MvXr1I-g7r81qhfDVKD8KbyJU6K7DviKwn49ILKTjz4,3033
pandas/tests/indexes/categorical/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/categorical/test_category.py,sha256=C0H660FFgsYKJnmOz1TwYIqtTMe2QOZqjzLJky_HBns,15645
pandas/tests/indexes/categorical/test_reindex.py,sha256=nQCNlHNspyDmIvXRU-ZilnDPV7loDqM9ZWyzsXapDxI,2727
pandas/tests/indexes/numeric/test_indexing.py,sha256=pdfSxM9qAN25ypQKO_nJlu2koqCWUsAUpYrlvMEtbjU,10120
pandas/tests/indexes/numeric/test_astype.py,sha256=grC7leu241Acebqs85KIH_vmUm4NgUDl-tTpbooRHDA,2943
pandas/tests/indexes/numeric/test_join.py,sha256=4XWVWmp3_KS9clDPfLA25Lr6aZQUwbDzKo3Ov9NUz-4,14759
pandas/tests/indexes/numeric/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/numeric/test_setops.py,sha256=zrx5K9Jwy8UmgQGms1vs2yawAnTdG1Z_WszGU6IMj3g,4948
pandas/tests/indexes/period/test_formats.py,sha256=qX3DJXOCGfkIoYuDb4eae7J9LLtE9kybOGjJqs5q9CM,6808
pandas/tests/indexes/period/test_fillna.py,sha256=mGuiD_LZh2YZ3UAoL_K9IhrqhkAw0yevlOudk3NWeNk,1104
pandas/tests/indexes/period/test_period_range.py,sha256=LvXcSfDXiozJSOVlB5UWK6-zr2xIQkQLyl-NH8dc0Xs,3954
pandas/tests/indexes/period/test_constructors.py,sha256=gjTtY3DLfZ78xmDCYE0Yj2hwsK3_YGuDGyGV4q9s6x8,19805
pandas/tests/indexes/period/test_indexing.py,sha256=kQgrX0BnWzDygMfB8OM8DEyRJaRgfaADwIfpMieDBfk,31185
pandas/tests/indexes/period/test_astype.py,sha256=5WakGlKgHYGAm0-Nx_rFhCng1lUlkhrRoh5E7HXVnQ4,6520
pandas/tests/indexes/period/test_searchsorted.py,sha256=LjYH5sXeVcrhdKvyD1XfVFkO3N_CavvZpjuUfnelaDk,2944
pandas/tests/indexes/period/test_scalar_compat.py,sha256=hrByNobLN7UaHX0guyhQga6pwjwYkuT1-5N02-V0RvQ,1123
pandas/tests/indexes/period/test_partial_slicing.py,sha256=oJCwvbk-J5PwMZc8BXPn5eJcHc6o1av3P5c50XuvmDc,6469
pandas/tests/indexes/period/test_join.py,sha256=tzivDReLEiK6K50zmOJMyobuIqVTPT8YswFonz75fG8,1410
pandas/tests/indexes/period/test_to_timestamp.py,sha256=7rUxJYh0btndhRIB4na2SnB1yzaJE2nimjSaWl09WgQ,3612
pandas/tests/indexes/period/test_ops.py,sha256=Ne3jRI98OfGwE3tHDI3pQyJGERLucH44xbO9EVne-mA,11728
pandas/tests/indexes/period/test_factorize.py,sha256=X3qdVfPjntNyXE7AJTA2OYsWdXQ6jNV1voRcvtYWPHE,1267
pandas/tests/indexes/period/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/period/test_shift.py,sha256=qIhNLGv9HWCnEYkda0CNWNw00djgfU2InkI2RAayF4E,4398
pandas/tests/indexes/period/test_monotonic.py,sha256=awODkhwbKFCZvs6A1ejCmcMbRzB2aVOdNELHIElj4GY,1245
pandas/tests/indexes/period/test_tools.py,sha256=ApzPMVXSGE7o762Amflima9DB1go2w7LyCRSGnS0LL4,1006
pandas/tests/indexes/period/test_setops.py,sha256=InGzMC29tqOLfanr2W3UFpsig7TMfCgYhlfvm8zlbw0,12336
pandas/tests/indexes/period/test_period.py,sha256=-JnIxBFBzfJQR7MxlaMzTQd-rcmKgil6s66xU-Rxzkc,21507
pandas/tests/indexes/period/test_asfreq.py,sha256=clS66172VsU5u5GTjuii6r8ZGLVqeKGDluBf_K4voMU,5432
pandas/tests/indexes/interval/test_formats.py,sha256=O4vcCef5GV_33jbAdxm_ftICkqi6RxN6Dbyv2Cq_yi4,3265
pandas/tests/indexes/interval/test_constructors.py,sha256=5m5D5wdUxklQV734cPXgmyQScW9Lsf51ArH4WGmap-U,15539
pandas/tests/indexes/interval/test_indexing.py,sha256=Wqzl7VB17R9Cwfi4k-K8IUShJQ5Usq3g5dsOTTaoa1E,17113
pandas/tests/indexes/interval/test_interval_range.py,sha256=xUVurv9UbC_boXzljUVkmjNdxVCeRYS33z_JyEhDB74,13249
pandas/tests/indexes/interval/test_astype.py,sha256=iqiG9NN4XD1Aywm5DfnC7kMWiYMFxS_1ahE9-8lc-nA,8104
pandas/tests/indexes/interval/test_interval_tree.py,sha256=UaLTsyEBVdXkBQJEkD_4R2S5P3YEYye5HfnWblRvky8,7082
pandas/tests/indexes/interval/test_interval.py,sha256=4OYZywM465Uw9PlPB5XzUbHR4Jw_hRSfaLhiy97Tqw8,34761
pandas/tests/indexes/interval/test_base.py,sha256=qHrS5-aNEo6LfpOSGF5jKyQjNW_1ojId225b9TLyblQ,2917
pandas/tests/indexes/interval/test_equals.py,sha256=2SQ6fHKBqTSbnZHIm0om7Haq9cfKkP_CsDSUqNDfSVs,1213
pandas/tests/indexes/interval/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/interval/test_setops.py,sha256=OvcxBBSuEVhpJdphXwlW3gh9nk402Vn0x1HTmzoPzIM,7263
pandas/tests/indexes/multi/test_formats.py,sha256=3c_AlfvaKHnWIfRNaYrk9Vy-mzz0TN7YigrsOyREUgU,7776
pandas/tests/indexes/multi/test_compat.py,sha256=_f1sdowbbJ3DzV75q6_QezKI8bxOsURg_238F0LZeOs,4223
pandas/tests/indexes/multi/test_missing.py,sha256=oxtBiwN7askAsRHYjT2Z3L1pde5sWk_t7fgJ54BBOw0,3349
pandas/tests/indexes/multi/test_constructors.py,sha256=LZtMl1cFNU_JErh_aZrvDS5s98BJWrGb-su76Q4a0Vs,25719
pandas/tests/indexes/multi/test_get_set.py,sha256=uDyLvbdH6oOrIHBNO1tIegkFM8ZRFJ3zgEWCdK4bTNw,13305
pandas/tests/indexes/multi/test_get_level_values.py,sha256=8P7pVjSeoOaR2eN1YzZCYNKV8Z2lp4P56EaKqVJln4E,3546
pandas/tests/indexes/multi/test_indexing.py,sha256=os_5ttt9VQolqhkodTKUd3LMyc16xIrcJDFsttZNdYk,30626
pandas/tests/indexes/multi/test_take.py,sha256=gr4gf2ceh3hf8bcRVVwY2Gz_apjyAtpXa4UM8TFq0TE,2501
pandas/tests/indexes/multi/test_astype.py,sha256=YmTnPF6qXwvYY82wZfQ8XFwVwOYYsIls3LSrdADDW-4,924
pandas/tests/indexes/multi/test_conversion.py,sha256=HeL15IHbLs2-gcnkHCGqrLyyphu9ToxrICs2sM_wnj0,4186
pandas/tests/indexes/multi/test_lexsort.py,sha256=r-ESkSEGsMRyh9geUpZkaNtITPeCeQrjRYsv1DXKFQE,1351
pandas/tests/indexes/multi/conftest.py,sha256=8okav-Aj0Za_uAhRxf4tXejKeA1GGnyjeYNx-2VYLrM,2210
pandas/tests/indexes/multi/test_join.py,sha256=z6qPVHyL6SOliZWtSMLwhajG26TE5eoM9ydnf584YdI,3799
pandas/tests/indexes/multi/test_equivalence.py,sha256=8bJNyqL-WNNGixujNHrzLymCbeUI9gnnBM5CIld8JiQ,8203
pandas/tests/indexes/multi/test_isin.py,sha256=QpTdTcpPSM3EyTFDO9VTisN2vbj1Fp4a_wYsmdWRbH4,3173
pandas/tests/indexes/multi/test_partial_indexing.py,sha256=Tza6-7kLmdn2bI50A9jyiNIWvGag4CQNO116yyaKC4g,3376
pandas/tests/indexes/multi/test_copy.py,sha256=5WG-r8EpaV0tGlyxQrKCFz2gpUCzhvFAVczylPyPp58,2900
pandas/tests/indexes/multi/test_duplicates.py,sha256=sZH3YlPIFXWQrkWr8HhlvBYVUhq4WIVmABGr8IUl0r0,10245
pandas/tests/indexes/multi/test_reshape.py,sha256=v7r1uWQlTV4UisV_pSCHwkgj-Kf6DpVh_aaf4LvZBFo,5041
pandas/tests/indexes/multi/test_drop.py,sha256=pH6G79db5mSNbwiBcQcUTpLsK4vCbsB0wO6WdmGYX0U,5847
pandas/tests/indexes/multi/test_analytics.py,sha256=TsQ4rMmIHaVuQL1Y2HtwxVcCWDb8iGOl9I39h0f3N9c,7046
pandas/tests/indexes/multi/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/multi/test_monotonic.py,sha256=UaL_mL49tTSq85Ti9fXti4fdmaJiquUFFOfAg0ITgNc,6907
pandas/tests/indexes/multi/test_sorting.py,sha256=e9IDfNLm_1KKjzb_nM3HGHNL6MWhxmJ0oECRfTcjPs0,8357
pandas/tests/indexes/multi/test_setops.py,sha256=NvGMdDgQKTF-JJohLqUACS5-fbrsfrldIkFBJu8MMbc,13520
pandas/tests/indexes/multi/test_names.py,sha256=U8GiuCiOpaem6kkHXAv_6Fe4uRX14jhb9d-rLdEpE_c,4863
pandas/tests/indexes/multi/test_integrity.py,sha256=FWihZJCM93JYTNkEVttd90Fza94sDSxdiNjUUmX1Tlw,8515
pandas/tests/indexes/multi/test_reindex.py,sha256=afdw-hR1tX8q0H1Re3GVWpGfttHianW116dTa8p7mdY,3745
pandas/tests/arithmetic/test_array_ops.py,sha256=Jph25VTHpSkEitqhI357NOgP1DadLK1SWgLY1VdZbdg,1051
pandas/tests/arithmetic/test_datetime64.py,sha256=BmtjAYsG6omk9gOSZjH8ePpxWe7LjFwebcQgjMu1iZc,91671
pandas/tests/arithmetic/test_interval.py,sha256=WyCk1YjOpQ8tStm7xODq6J4J61cDsOEcB1LnTmiqA4w,10355
pandas/tests/arithmetic/conftest.py,sha256=yPccaciTyxywgDPKzF4RiO5SBzee9ZCuBcuL_3ad19Q,5751
pandas/tests/arithmetic/common.py,sha256=rmRbb7-V5Ia8uLrz1wTj1SkGFWtDM1EbdvjHdknLxRI,3243
pandas/tests/arithmetic/test_object.py,sha256=1eeKJm6v7Fbf0QJWUkBJAi4UwIpVCYmSLMGypMHI9-U,12144
pandas/tests/arithmetic/test_numeric.py,sha256=YK-NmbTjQLOP-Hub0vB7sSg2DSib4Pi51kUBkK79jgk,48540
pandas/tests/arithmetic/test_categorical.py,sha256=Lh01H0x566CsVTWwAwxgH7A4XZ97PLNLuB2BntMANx0,358
pandas/tests/arithmetic/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arithmetic/test_period.py,sha256=8oV-6JY5Jk_6IMHSK6404dl1CuVCoLP03amWtU9Llcc,56214
pandas/tests/arithmetic/test_timedelta64.py,sha256=J_A1hMjM_oyTyVXlOlyOrwxfoWPPtALmMjeTBnptIls,79354
pandas/tests/dtypes/test_missing.py,sha256=iRLcWWymJCkaYWKlm3giiiAOI5AT2vOhUhQ9VQVW_Yk,20677
pandas/tests/dtypes/test_dtypes.py,sha256=DRhNxwcmivCUCuwtOn4jtRanzhfvMoaignsmlr3Jp-M,35327
pandas/tests/dtypes/test_inference.py,sha256=kjSmq7oMsE5CED_PZ2D4UAywAXGPyc1tVVPTUqy5yHs,52074
pandas/tests/dtypes/test_concat.py,sha256=jRYyPXx3HyINqdJrGTaHB48wp17dNSiqRC1S3VTWTD8,3254
pandas/tests/dtypes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/dtypes/test_common.py,sha256=kSR-cnErR8d0gz3I75vXD57pgR5LrVAe6mSZjfJQHIA,24875
pandas/tests/dtypes/test_generic.py,sha256=JpI0NbAFExwXu7heJIy8llRgYWbv4ZO6762SclU_7vs,3279
pandas/tests/dtypes/cast/test_construct_from_scalar.py,sha256=RnOgxrVmm5QadcOF91P0EzKVYZmdmu6AysomrbkSEq0,650
pandas/tests/dtypes/cast/test_downcast.py,sha256=ow1CtCx2RWAv3MPS8r7A3KEsi7FdJ-1AmXyIZ5Y20lk,2790
pandas/tests/dtypes/cast/test_infer_dtype.py,sha256=N3JzJ3u7gTuDx7rwci5zlS76-YBMUXSspz0LVLhAW9o,5210
pandas/tests/dtypes/cast/test_upcast.py,sha256=HjrSC2FjI7TtLheLRMpe_abiHYTLCby-Qi7VJNGOB6c,2261
pandas/tests/dtypes/cast/test_construct_object_arr.py,sha256=eOmUu4q0ihGTbYpCleoCnYtvwh1TBCEZQQjLeJaUMNA,717
pandas/tests/dtypes/cast/test_promote.py,sha256=BXJTbIv9JdrEpR8HjjkdEe-GCeEzQdKDumVoYcdfWD0,23391
pandas/tests/dtypes/cast/test_construct_ndarray.py,sha256=FqWQthn7ViFSpVbLwcMSACr7CKTd0_roxkQ4Ybjcs8Y,708
pandas/tests/dtypes/cast/test_dict_compat.py,sha256=qyn7kP5b14MywtqOUL5C-NOvjf2qK4PsXGpCvqmo-4E,476
pandas/tests/dtypes/cast/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/dtypes/cast/test_infer_datetimelike.py,sha256=aA7RtfP1NktXICyIIr-M34ukfnhOOtW2vmNJCl-0gCI,582
pandas/tests/dtypes/cast/test_find_common_type.py,sha256=f5KVZJAdss03GYJ58X1xPn-CeTL-o67aq1lKq-hFCAg,3878
pandas/tests/series/test_subclass.py,sha256=mXBNmZS5ZPubHO3xiIJQQJWZjfS9Li8tKxUd4TIrEBU,2084
pandas/tests/series/test_missing.py,sha256=1aVM1qpDmUYCL2gDCmFQpSik3XsdfD66WCMMGjxWVMs,3301
pandas/tests/series/test_constructors.py,sha256=mwQWh7ZlwBMlZhUB_jOq5jtGKHfoCEvwbhKfff8DgBM,60382
pandas/tests/series/test_dtypes.py,sha256=5quOFt1d-50oRygggMYVsdJlbBAQWCtAZCDc1TsMNBA,5546
pandas/tests/series/test_logical_ops.py,sha256=kv4186X0t_AYKs8MuwpjLfrfGJHNERi5tU94YQHVwU0,17530
pandas/tests/series/test_reductions.py,sha256=TBAMHDb7fFeUbdH38dJyfDlgc6Az5gBJ-fk0c5VB8Rk,3112
pandas/tests/series/test_validate.py,sha256=ziCmKi_jYuGyxcnsVaJpVgwSCjBgpHDJ0dbzWLa1-kA,668
pandas/tests/series/test_api.py,sha256=A-sx4sCZw0aqmxyWyOVkYtPh-BbKRTZElkF2ipAzAtc,5889
pandas/tests/series/test_repr.py,sha256=8pzusesSaStZU0ZZGWdiioiEX9_ds9O-e__cmU-5ezg,14974
pandas/tests/series/test_npfuncs.py,sha256=zJgZDsPuaZub277gmntO50tO3yIBUIuvYLM4n6oEwe4,293
pandas/tests/series/test_duplicates.py,sha256=mQJgFIBhmCCUeL1IP3qgz21yLb4Bo8beEEoRpA5FNmY,2473
pandas/tests/series/test_cumulative.py,sha256=xGtYuDLLkLOcDP_FgXSMQnt4f40stCpB4zb_FUck_ME,5549
pandas/tests/series/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/series/test_arithmetic.py,sha256=QqSO3K1abHAzlzN6wzhd5gK0e4eJvX7Vv2_dF-EGO5I,30847
pandas/tests/series/test_ufunc.py,sha256=d9XSQsYYdLJzydKd61FxHWJHY9WmUF7DAPjPMEcJoic,9845
pandas/tests/series/test_unary.py,sha256=6z_jMcvJvuCcrL7QeZgiR2FhDDV8AzzZY-vIMXOUswY,1755
pandas/tests/series/test_iteration.py,sha256=3aPgneBFgn-jsKUyUTBuvPMEnhYMZLHWzFdqmY56A-I,1280
pandas/tests/series/indexing/test_where.py,sha256=VF2OH1fgO3HnaBH0elTRLF96ZUbhs6CUwRoX5pURmkc,12696
pandas/tests/series/indexing/test_indexing.py,sha256=aXGQs6wJgKhbsmq0mBXDfOMvGnQ9fxm_-lYSZBlScpo,23928
pandas/tests/series/indexing/test_take.py,sha256=2B79IuWBesI849qvFO4hELdNiVsT2A90yq8wor_aRYk,963
pandas/tests/series/indexing/test_set_value.py,sha256=s-lbfDRriWnQDvhZTLQy-TgURH5Z6Fy8kQ9F9ica0iM,978
pandas/tests/series/indexing/test_xs.py,sha256=HY-zHALNvAneUnIBW2UzP-Oaox4Q8MNnwm-ZJTI1MQA,2293
pandas/tests/series/indexing/test_getitem.py,sha256=YiMkwTQIJb68OgA5_4-2o-qUiszv1yjK5JC_Jfg2-fc,15096
pandas/tests/series/indexing/test_datetime.py,sha256=zGIHRgZFtM4CmtTcSuVoW9rRKK43kmZfHOKaWfJI1S8,18058
pandas/tests/series/indexing/test_mask.py,sha256=nej3h-lEEu52GR3Y2ifKyb33j9Pt-rQO6SL6wp2zbXA,1602
pandas/tests/series/indexing/test_numeric.py,sha256=IlQVxOrqz89fpNR9cIfJ8hRWXNwVWbZ_njcgdnAUvDU,2296
pandas/tests/series/indexing/test_get.py,sha256=49Wj_k_M0JUHQj42bkKKsoCY0AR4_OGS1Z4DRaTueQo,4324
pandas/tests/series/indexing/test_delitem.py,sha256=J7ToYwD9-F7LqmmFMFi8xJb76WfYf40KO4W3xLc9wOM,1404
pandas/tests/series/indexing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/series/indexing/test_setitem.py,sha256=Mb8kz-UPX9hHfNiBRpHVgGWcVNGBK-ZErVoRp3Z9OlI,9369
pandas/tests/series/apply/test_apply_relabeling.py,sha256=Ieu325hGjiIpGTqzSVIDhyMzVqSIAU9oYHivkJFCnCs,1325
pandas/tests/series/apply/test_series_transform.py,sha256=Ok48uVYlHTqsfG6N6ufRED0eFvS1XB0752SHqs9IUDw,3147
pandas/tests/series/apply/test_series_apply.py,sha256=4aSgtObbngFeIKINvVbZCXLl18q-hfcgWg2A_MBCKgU,29580
pandas/tests/series/apply/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/series/methods/test_to_csv.py,sha256=Fz3cuR87Qn_-7k7s1jVsQitriQn6MrxH8xfIO7wibIs,6229
pandas/tests/series/methods/test_is_monotonic.py,sha256=7luMMlLqHs11v6fQY_PMadmVFs1Wc0sL7N5J3cypr_s,767
pandas/tests/series/methods/test_convert_dtypes.py,sha256=i35tVe5qpcHm7Ity-BxH1FmOg2_tDn8QP2pcIj7uPGY,5852
pandas/tests/series/methods/test_explode.py,sha256=Ag2I4Nn3LK5Ns7n99RgIubS1eMrbyKTCj5zUrR0MIos,3812
pandas/tests/series/methods/test_between.py,sha256=eu-l9-uNwmBJ6yuBL46WqtqL1RwvGH4LEramdtecofo,1197
pandas/tests/series/methods/test_reindex_like.py,sha256=e_nuGo4QLgsdpnZrC49xDVfcz_prTGAOXGyjEEbkKM4,1245
pandas/tests/series/methods/test_combine.py,sha256=ye8pwpjolpG_kUKSFTC8ZoRdj3ze8qtJXvDUZ5gpap4,627
pandas/tests/series/methods/test_fillna.py,sha256=sZMeRSFMgeGW5_iZHmXrOOFA-DkPaTSlhIh1n5FSIlA,27717
pandas/tests/series/methods/test_autocorr.py,sha256=pI9MsjcDr00_4uPYg_Re22IsmVPTDbOjU83P4NOh8ck,999
pandas/tests/series/methods/test_quantile.py,sha256=-vGZSAIqlLLNQTPkcjb61eezeBgAz6hDJKri1QA1vfo,6738
pandas/tests/series/methods/test_sort_index.py,sha256=q3Z9Kq8MzUSoVnBu9Wjj9IP6noNikjFOllgL0Xmd-Ik,12731
pandas/tests/series/methods/test_view.py,sha256=4aMiaRzg3DjQ50z62aBICFXb9h86xNGpKmsm9649jqQ,491
pandas/tests/series/methods/test_drop_duplicates.py,sha256=GwlR75KjD_Jk2RQHmHqACtLTBBn4t4hd4W_a0XxwEto,6849
pandas/tests/series/methods/test_repeat.py,sha256=kCk4s0XbNx60mNfkwIAom7ADtUCQFeikh6RNo9sEZM4,1236
pandas/tests/series/methods/test_cov_corr.py,sha256=1svO9Ktk8rhVA8Cy_W45AVbjVIDEdkcywaTx6esMZTM,5209
pandas/tests/series/methods/test_nlargest.py,sha256=-mGSiPOK7wFJI23X1W3EpRImjP2q9UQcMPbL_sN6P3o,7121
pandas/tests/series/methods/test_rename_axis.py,sha256=JsEXmYTfCjo4WKPKowIPteoqUSuTQ543PD0vgoSX1JI,1503
pandas/tests/series/methods/test_astype.py,sha256=X-2iywN_iWL-B0U7XTsra9pp1_UAb2LDGzLAwGWWoyY,15055
pandas/tests/series/methods/test_interpolate.py,sha256=d0ObODNy4aSHw_SsDKvdebRvUVKud4K6_UOp7d8fmdY,31137
pandas/tests/series/methods/test_describe.py,sha256=gKuAPHJSC2EaeGv2XvRjEhgkMRd8XayFyNnSWdv-t9A,4640
pandas/tests/series/methods/test_searchsorted.py,sha256=l-NYx0xly6ENy20IalgdoMJ_lwJz2a1Mj_v26eoFQmk,2121
pandas/tests/series/methods/test_head_tail.py,sha256=1EWojjTzcLvYH34VvyvEHxczDy7zL3dMTyayFHsVSzY,343
pandas/tests/series/methods/test_value_counts.py,sha256=gxcOPNrkfdGxQOi689f4192u52RM-OwI3maIiEIiIwI,8055
pandas/tests/series/methods/test_compare.py,sha256=pb1C1B7bQoswLmvZKpnjJ6ErWktr7yIzR7hsaLNosvg,3734
pandas/tests/series/methods/test_tz_localize.py,sha256=djG4GQoo1hD6OxvawzUr_tG-g7s4LNL5IguozH8IhoE,3108
pandas/tests/series/methods/test_align.py,sha256=nt1-fCBzrCosQWTb7r_b41Q3KiirhII1VQtJNiu6HwM,5341
pandas/tests/series/methods/test_values.py,sha256=C67U2z0ME2K15hXAdnFVkz3b16vSrw1Jdjt7573TQsw,724
pandas/tests/series/methods/test_argsort.py,sha256=DMJP35UjJK3H5fgyFTj9dl5vCYlL4TE-4UKJXm5H2JU,2248
pandas/tests/series/methods/test_rename.py,sha256=sPM1450Gt6zFta8_YYSkgKKen3D0t4ccP9AzpL-53hY,3378
pandas/tests/series/methods/test_duplicated.py,sha256=EGNeuEFFAc5G-yebtUfiVDxmfVRaD22C2z5nxI2_sGE,996
pandas/tests/series/methods/test_update.py,sha256=a-AJfcP1wNEK3jtzJ4h40giR5j8WFszzbPgXv_e4BMg,4213
pandas/tests/series/methods/test_tz_convert.py,sha256=bNbxPXysoOfJhX1ksPMq2Gd08-umHTbmPnCkplTlOC4,1008
pandas/tests/series/methods/test_dropna.py,sha256=kgZDwrOpmsbOoWi6geBTuxgaoPlM-bD5VjruhJ1FX7s,2986
pandas/tests/series/methods/test_get_numeric_data.py,sha256=iAtBaRJtPees1Wey6utYi7nNJfnZkBQmXe_-k8wVOCI,857
pandas/tests/series/methods/test_append.py,sha256=42ph6opqoihmVGFifAIF-kj9ZxrM3Q26RNDwtfF7Jns,9757
pandas/tests/series/methods/test_isin.py,sha256=CAv_RyC0NSnEzVV2QVlaFxN35vVXioZYntAPONXqc4Y,5308
pandas/tests/series/methods/test_unstack.py,sha256=LlDGCLGcv4Nhw_0rqqEMDe3tccjFzzPnotAPhLOnEsU,4106
pandas/tests/series/methods/test_item.py,sha256=RS26_lZgBEgQIbVoyBhAtzM5pi8QBw-yU-jjdND4lyo,1422
pandas/tests/series/methods/test_diff.py,sha256=sj2jx-6vYyijU3ueai-OFZZ7dkrDl2Ijie_qd5o1RTQ,2331
pandas/tests/series/methods/test_replace.py,sha256=8iHapj_YeX0ho7lCQ9uUZb3-0tb1rwJBRjElejtvd0M,16501
pandas/tests/series/methods/test_copy.py,sha256=ahYJ0ZiCESIwi71QnjXdIrusFXOiQDKsN-4IWFe2YxM,2166
pandas/tests/series/methods/test_pct_change.py,sha256=GZ97ZyLCDw_BvBlJ3U6V75e8ECudGYJkee0xzfiyayc,2968
pandas/tests/series/methods/test_infer_objects.py,sha256=SioL1jaiK8W07ZbpSROpB2gBuVQHXnN-PjieVShP1J0,787
pandas/tests/series/methods/test_clip.py,sha256=Bx3UsyiX-iiadZE2HbbaDMrU6DyBHC8KKIOngc5KHCo,3378
pandas/tests/series/methods/test_asof.py,sha256=Ye7zI367GP3ut6AcgvwV1tsfBx8-sFO_4yfZcnokWBY,5386
pandas/tests/series/methods/test_drop.py,sha256=ug6VfbsRUlK4CqDfXLUvYQt95Tg9wmNFQx-eUiSkU1A,2957
pandas/tests/series/methods/test_matmul.py,sha256=xdwYHboX8q1A2blvMOGfb_JVuXcopq8CQgyBwOlHVSA,2655
pandas/tests/series/methods/test_pop.py,sha256=xr9ZuFCI7O2gTW8a3WBr-ooQcOhBzoUK4N1x0K5G380,295
pandas/tests/series/methods/test_truncate.py,sha256=14nkeOr-wQlwc9Vtr8JCkgtXlXNjrJl3oGezyNUzmS8,2026
pandas/tests/series/methods/test_to_frame.py,sha256=sxDjBS4jo-CMFFRnya6xixlVPmo33KuFhTNDzqabFKo,1275
pandas/tests/series/methods/test_combine_first.py,sha256=OtqhpSLPpgOQiLUzCDVVZAZ488_uJMhnRLhmdOs8XwQ,3402
pandas/tests/series/methods/test_equals.py,sha256=Jcgg0TjrIBUwnq0JQyo7uyDn27cElhMHArcNHWkWfTA,1565
pandas/tests/series/methods/__init__.py,sha256=zVXqGxDIQ-ebxxcetI9KcJ9ZEHeIC4086CoDvyc8CNM,225
pandas/tests/series/methods/test_shift.py,sha256=aWBE_cL_Eq8XnQRwqUnJzud7oGpuVsiXbd-6zU47HGo,13266
pandas/tests/series/methods/test_convert.py,sha256=Ty51C_HPO1BHXReMr8iFqBb6tQSe8q008LSa29mT6i8,4911
pandas/tests/series/methods/test_to_dict.py,sha256=S4V-b3dcnAzxbMXhzB8tt9vqbKdG8UEOeLi8EKapwFo,742
pandas/tests/series/methods/test_isna.py,sha256=u1RM3z37bbw8Key7vUddAQnNp5rAKUqg8GHquWXnbJg,927
pandas/tests/series/methods/test_reset_index.py,sha256=8lcaB62kzpFlYMb034QZka-eIOFkVuV33R1dD6I7Qfs,5771
pandas/tests/series/methods/test_round.py,sha256=5BQUUK8ZUtuivHK1ys46k3B7viN72jkGLYpkQ_MZ0bg,1970
pandas/tests/series/methods/test_asfreq.py,sha256=GoMwnZhRuiqSra1cp3GTaSZ0xhqk-S9DzEQkz7GsrIg,3616
pandas/tests/series/methods/test_rank.py,sha256=g8-_N6ER0WANPSPonSduGrbQQD3_vZA3LBsgU4xXaLc,20287
pandas/tests/series/methods/test_reindex.py,sha256=bhAFdfGGFs4OEXMGHDGQcJ9zddRWVImH4v9MMLtv5C4,9723
pandas/tests/series/methods/test_count.py,sha256=JwsQ6wKAEBUFxAWNVXxjFPF1WaNLlcsA4PoNwoSKuL4,2620
pandas/tests/series/methods/test_sort_values.py,sha256=4g6g17TsWVGe-GJm-SetFUyp6UTm7zCOhUqZMueR-TQ,7981
pandas/tests/series/methods/test_set_name.py,sha256=rt1BK8BnWMd8D8vrO7yQNN4o-Fnapq5bRmlHyrYpxk4,595
pandas/tests/series/accessors/test_sparse_accessor.py,sha256=yPxK1Re7RDPLi5v2r9etrgsUfSL9NN45CAvuR3tYVwA,296
pandas/tests/series/accessors/test_cat_accessor.py,sha256=a0gKDig0eckGBcKhqTOJZtWqs2HtG7k9JDzUkaySjdU,9145
pandas/tests/series/accessors/test_dt_accessor.py,sha256=mUCb-9GpTCkwK5S5m2jnWcCbiLFVzm8O9vJQ37x3mug,26384
pandas/tests/series/accessors/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/series/accessors/test_str_accessor.py,sha256=M29X62c2ekvH1FTv56yye2TLcXyYUCM5AegAQVWLFc8,853
pandas/tests/computation/test_compat.py,sha256=e0I8FZmh8i_FQF0YKo4pYjldEY7TjlFfEaBMHWA226k,1325
pandas/tests/computation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/computation/test_eval.py,sha256=UWsGWb7moIMdgO61m2jKaNiH6LsJzqvi8XDKrFMoLgg,72051
pandas/tests/api/test_api.py,sha256=-4IrZ44eVqIBZYW_Kc89k-CJFyZhW5qib8ikEAqB454,7706
pandas/tests/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/api/test_types.py,sha256=hCK0T11SGVVGkWcB09oI8a88whWTBjeWmwuMSUJn_IA,1684
pandas/tests/indexing/test_indexing.py,sha256=JF7PySEHkUt8lFLcHgGvGMHVmLHJi6Y4WnXOCmrRH94,35414
pandas/tests/indexing/test_iat.py,sha256=e_i-HHmkqznErQamgNL7nL32XJDLzRW_9MI_z-rNAy8,776
pandas/tests/indexing/test_datetime.py,sha256=tSMuW7V0kHQ8wK4ySUtooH4ZOG_vluL2nvnrLRo-efM,7714
pandas/tests/indexing/common.py,sha256=n1eTGitpxoaBLuJclxHSpnqwoaMLmlxcf8itXsqeR2A,5245
pandas/tests/indexing/test_chaining_and_caching.py,sha256=nJYKNfBqBQUyu-xG-IIYE4dORXHu2HUtizdClgN801Y,13521
pandas/tests/indexing/test_coercion.py,sha256=7qCmf1bRYnpzL6ZUtQYo-Yw3RornNuxkWif4kmIiggE,38614
pandas/tests/indexing/test_indexers.py,sha256=u7CglgG0ZQhGhXofN-Xn1Vv5-MbKtr_gZjsXk2cgqek,1636
pandas/tests/indexing/test_categorical.py,sha256=ftJU984MnwJpHqj6vSdEt6YGsZfLV3JxpErOq1GjA6w,18802
pandas/tests/indexing/test_na_indexing.py,sha256=Nnn5Co-SeNdH6Yg2T_vKdygszTZ9IplVNv4kYozSoqA,2817
pandas/tests/indexing/test_check_indexer.py,sha256=kZvthQokLBuvD2JSjdV8IQ0smIKROUEmUUI6h838V9o,2908
pandas/tests/indexing/test_partial.py,sha256=jzdFcMqmmrkX_ddgKj3RlpYXZoPAfocIkgL0yiWi8XQ,23019
pandas/tests/indexing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexing/test_floats.py,sha256=h3L4yZOiX28SDqf22lQ49LVe2IH6wgVMJSWVrM9SIM8,22805
pandas/tests/indexing/test_iloc.py,sha256=0fsHD2TCzh5SptCn80D6-sbzqhKFvwh1XrJrhcLnhVQ,35333
pandas/tests/indexing/test_scalar.py,sha256=WDkwbT2o8N2-8LtkXf11jg9w8-aTnHp2JgxhIXjhrKI,9902
pandas/tests/indexing/test_at.py,sha256=p8Xcb4tQeXjzyX6DUigdKoAwV3WcJqhbkoG4Fqvq1z4,4825
pandas/tests/indexing/test_loc.py,sha256=3bzyiUAmFqSfqCSzFKKCH9BtN5Yuy0xy4X6TQA4_jms,70474
pandas/tests/indexing/multiindex/test_ix.py,sha256=IZ27YrBaqmTwusag6tKnYXSoZPZgmX133MTuW7Vq8gI,2117
pandas/tests/indexing/multiindex/test_slice.py,sha256=1NBpTXyH-cC5WgTTvUa5xyTAQ4xQKoBYqbPXJcv3ch8,26417
pandas/tests/indexing/multiindex/test_multiindex.py,sha256=bz8ZyCTOycngU7scWuxKKI1w75kS-WLKmprHB3JZTE8,2956
pandas/tests/indexing/multiindex/test_getitem.py,sha256=ky5uxKYV_3YDvk4ykXSOa1tccW_eNMdsYkSFExmDF1E,8767
pandas/tests/indexing/multiindex/test_datetime.py,sha256=cditJuDyVUhpC6mCnjTfOWYoo9tbsXsG-LlTo_ngSGU,1209
pandas/tests/indexing/multiindex/test_chaining_and_caching.py,sha256=s2zbvPogx1nctjlDeLAVFzCuTJ6fwd-Xscnf78RX6dU,2001
pandas/tests/indexing/multiindex/test_partial.py,sha256=zE6ECf48XnG4TJJeMya7I8asTpr4Zd7bTPBSQ3PFu4o,8968
pandas/tests/indexing/multiindex/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexing/multiindex/test_sorted.py,sha256=a0rdpLKhtPVvPUBfG8o1_wCmGDwMkM9csfYJNa-zK5g,4576
pandas/tests/indexing/multiindex/test_insert.py,sha256=Uw-7CrXDEdtUCTk9_9ShqKeY-kFolac8TBoCTXdqXY8,1021
pandas/tests/indexing/multiindex/test_iloc.py,sha256=0fA21M8J8Wbw8lVc7qJbWuLlU2oHYjLQ3n2alB3OfQI,4991
pandas/tests/indexing/multiindex/test_indexing_slow.py,sha256=-fy4CYop7V8bLTkBWnQRGJbWrbfl-xACPQJ3VJz9DJ4,2997
pandas/tests/indexing/multiindex/test_loc.py,sha256=c1uzjxOGfBfAY1wu15CyBiMtcfXDGSfmJ1w-7xlhySI,23394
pandas/tests/indexing/multiindex/test_setitem.py,sha256=ihtGJbzpzh8i4reWxofcL_LkFSnCPwQv4cHKrox-K3Q,15936
pandas/tests/indexing/interval/test_interval.py,sha256=_sLEBtCOX6AqDrezOb3HQRoNO_cJP01lNbUy46kLcgs,4833
pandas/tests/indexing/interval/test_interval_new.py,sha256=3FPLpVpkPxP8SCB0s9s_cinCL6uA1PhGFPGnDrEF34k,9000
pandas/tests/indexing/interval/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/base/test_fillna.py,sha256=NZD61ziAvp5gvNcWrASDgRo2A2b5DzmeriTBz6-nBcs,1880
pandas/tests/base/test_constructors.py,sha256=ANvtyUOGnhJUNoNqyAKoq229DJtBKOEiwzxlOsv_dF8,5119
pandas/tests/base/test_misc.py,sha256=hytiw7M-59UEXHHAO-_NElaEo6IgSpws19rrO9LKXwU,4426
pandas/tests/base/test_unique.py,sha256=pdIGYDCOphJj_AZMcCwI6lJ9JT4woceQChlHejDBjRw,4464
pandas/tests/base/test_value_counts.py,sha256=Xio8MEQEtEzCOI31iPO9oQ5Bf1NPm_1ZnRsLPu_QKY0,9533
pandas/tests/base/test_conversion.py,sha256=uZugBTlUDwEb2ANhEMqgfi0d8b1I98ZqMraxzso9ods,16371
pandas/tests/base/test_transpose.py,sha256=O3pOdyUY_GietbcHUjyMLut91AfiSkhXj0GqzRbGyeA,722
pandas/tests/base/common.py,sha256=khOj_7jBGUvPKXyNDfTpkfJ56w38fTgtB0Sk9ueJcJw,252
pandas/tests/base/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/libs/test_join.py,sha256=4O2UdcvDmSWDIu7RIozHha8koLHgcqCqjGBt3SopOMA,10909
pandas/tests/libs/test_lib.py,sha256=ROdzJrfnKGE5pdNIcEUTCl7QZwGhhaA1JREm21o_6xw,7946
pandas/tests/libs/test_hashtable.py,sha256=xcXxuZ-DGK_7gKRYf_OjCNSPY3kIy8Gvqk-KxZGWIo8,10952
pandas/tests/libs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/plotting/test_converter.py,sha256=9l_o3hgDft7O_Y8ur-STUiAg2bY5cPJ0t4C7SnZvz6s,12967
pandas/tests/plotting/test_series.py,sha256=WAxIyxy7Wtq5XRINu_443UWsWhaBV_WV390zGNH6gCE,36503
pandas/tests/plotting/test_boxplot_method.py,sha256=vxx2GQE1eVoW--zeCqlfgm37r041izfMgQUT5Wl_nUA,20342
pandas/tests/plotting/test_misc.py,sha256=0hIV5X8CcKXKDmqNPIyf2wrB2YFm43o7o9gXs6d6o38,19865
pandas/tests/plotting/test_datetimelike.py,sha256=A5VmwfgKA9L_fc0njiA9Tcat9igSco6rrh6MUKemG48,55646
pandas/tests/plotting/common.py,sha256=udRKYgGcQwNJ7Fq3THkTTK-HkECRYLKpxZV1fd_Eukc,21403
pandas/tests/plotting/test_style.py,sha256=Wj3UsUKUxwfsg2QdK7LIv8nvoSTxZ_4i-O2Y6hMC_Sw,5203
pandas/tests/plotting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/plotting/test_hist_method.py,sha256=IUjSp5DzGkRiEKELvRM6m6pl59JIWxuB8F-3nqSYoyg,23040
pandas/tests/plotting/test_backend.py,sha256=c-Z8-B0c9fz6-N8gkGLUwQp1x8bCl7PeeQbnJDiiwIo,3520
pandas/tests/plotting/test_common.py,sha256=se050hAM6FJaJqVqA-gzLim6zrQb-raYrMONfCm_qXs,919
pandas/tests/plotting/test_groupby.py,sha256=jVAfSQbJHb7NEfl8KZzGDYggR1k5riJI9yA8zrHX6bQ,4685
pandas/tests/plotting/frame/test_frame.py,sha256=Cw95Q4gxq5kPTIIKIY5oKhqWwt4rVdpy2TTJBNU0leU,83493
pandas/tests/plotting/frame/test_frame_groupby.py,sha256=bnvev7X63rzyRjRyP2jIBNH-JqrOAMrINENs0N6aZYw,3099
pandas/tests/plotting/frame/test_frame_color.py,sha256=GdeqIy8OhqY8piRl3oDot7CrrFmfhX7vdXL4MplQLWw,24477
pandas/tests/plotting/frame/test_frame_subplots.py,sha256=8e_wlVv6HSf4gYrU5bm42wsmsYhWmJa9ngzudr5-os4,26372
pandas/tests/plotting/frame/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reductions/test_reductions.py,sha256=hLonIHYKsmfWX8qnGF6kiYEc_rLNjwJPngabAhZobo0,45774
pandas/tests/reductions/__init__.py,sha256=vflo8yMcocx2X1Rdw9vt8NpiZ4ZFq9xZRC3PW6Gp-Cs,125
pandas/tests/reductions/test_stat_reductions.py,sha256=qSxjA65JtabrVudZytyj_adtsPJL6iwT2_cz9g4C6YE,9387
pandas/tests/io/test_orc.py,sha256=BRZGhL_991jsslfo1u6lM0WLun0O6sGLNen2xfGrZYc,6482
pandas/tests/io/test_html.py,sha256=J_qeX1gM7XlMcI_aYs3YjJGmlO2IyhN5aW-L9PPUzy0,39759
pandas/tests/io/test_clipboard.py,sha256=2URWrH4Xy7ysmWejeN_-JShXiHOFTpRkO5EkNF_uBeA,8002
pandas/tests/io/test_parquet.py,sha256=DzoDFznHrq0J80jwGuRHYfCnK75W_8lBiHU3K2P6N2A,35395
pandas/tests/io/test_pickle.py,sha256=xJkjH00jRijYUuknc0JUVpBw8ClbT28DZyK56MKVQpM,18038
pandas/tests/io/test_feather.py,sha256=G43mdco5hTX1BJXRuvYnIvFbbual6gHkyKaRAw23UNI,6193
pandas/tests/io/test_gcs.py,sha256=JfQ5-78mUWXOZddWgWnDsvEOj3H7UTJ4Ci516uutZyQ,4689
pandas/tests/io/conftest.py,sha256=rzbln35DouJNGPbgOPC2vHk6QOPP7hn4nMei8YLKrSM,4527
pandas/tests/io/test_spss.py,sha256=rJa2WvARqpkdPAwAGxj5jOc1fJiz9LgWLVH_5vBNdDY,2745
pandas/tests/io/generate_legacy_storage_files.py,sha256=iHwcBPiT6-eGa-4xgxZZyCbH0nGdv_syVajlOCcSKg8,10059
pandas/tests/io/test_stata.py,sha256=ECfZ8-9iJjadkE50UVy7XVtH2hfhSdM2uht-C2LG9Ak,78351
pandas/tests/io/test_gbq.py,sha256=8FrXvdTbrBDHRzu4qBsIR4YxDqbFdLguWFD8S7dPYS8,6810
pandas/tests/io/__init__.py,sha256=f4uYFaEJyf_v2qFP8VagvAWjeJhGVg_nrnkskgib5zs,633
pandas/tests/io/test_date_converters.py,sha256=m4ig8gp7LzZ802Wt0zU-ugzzRWnV9iozWH-Wzr5tQ2A,1368
pandas/tests/io/test_fsspec.py,sha256=xazVtoyGAM8xkin_OQ9FiRzCt4yrNU_ppUYH97OLftU,8964
pandas/tests/io/test_s3.py,sha256=gSkZtuYyqceg2PHnPXdcaLNzaYTnMnF4ZB_KZOCv1fc,1535
pandas/tests/io/test_sql.py,sha256=CWsS_0emR2Mxf6YUms2b0szbVu8_ZdhV-ue7TerZq2g,101613
pandas/tests/io/test_common.py,sha256=YMrY64BuV0RzYD5Wn6TH2prx1JvJEhuj08mmcJKWKy0,16691
pandas/tests/io/test_compression.py,sha256=YY4Di1SXchidK8qv5lHdzMzgxxd_SwApaaM8NeV_HMY,8223
pandas/tests/io/pytables/test_compat.py,sha256=7wo6Xd-MYxKA5xVQZ3TU9i81IHOxl7PzL0UcWCzBBZ4,2633
pandas/tests/io/pytables/test_complex.py,sha256=gAjt6OeKC1saFQqhK5YdQ3_f2GJcToIzE9_AVXjk2nU,5569
pandas/tests/io/pytables/test_timezones.py,sha256=LiaEjMZkbchtRLw0-m-dbkzjBCaCy8o5Yt1_2odQdYM,14243
pandas/tests/io/pytables/test_pytables_missing.py,sha256=mS4LkjqTPsAovK9V_aKLLMPlEi055_sp-5zykczITRA,341
pandas/tests/io/pytables/conftest.py,sha256=wivEYaCKfp329li6Zvei7rE9Winre4bF2wL--oT20OA,321
pandas/tests/io/pytables/common.py,sha256=UyN1Hwd0NbwtEw0qQb81hwXBHPJecgh4D-C92WQcTTw,2054
pandas/tests/io/pytables/test_store.py,sha256=BGteLRo6eeM6kzjmZ3aLf0xzncxaNzDOmFGxMQ44jnI,180796
pandas/tests/io/pytables/__init__.py,sha256=kB8vfSir1cYMOBrUO-US8ssEgnW2iJTCM0FRwBnUgk0,399
pandas/tests/io/formats/test_info.py,sha256=bhcOKjPUi8aB7cWYQeuOEcC_K6OXfKNx5lJlsxqB0ds,14620
pandas/tests/io/formats/test_to_csv.py,sha256=FGHxh9yNqEx73_arksWkLYIi3VPCtcR87kH-LNWntyo,23987
pandas/tests/io/formats/test_console.py,sha256=ntS8xNTouMNVOqfYmYTD_lPsDpD_Zb5je2dab3YgIq0,2460
pandas/tests/io/formats/test_to_latex.py,sha256=v8_XTgBrLSRI0KXAZW0ZdG0Thqc4MpwPCAKE5NzrD94,44156
pandas/tests/io/formats/test_format.py,sha256=FemGPdSCuLI3jov91lHTq_M0OryLPO6-V1Yx1mLwFEw,118693
pandas/tests/io/formats/test_to_string.py,sha256=CPgAbLGs7FAE0MhrTcvYd0KRnAYGD8vX8hbJ40giINU,7023
pandas/tests/io/formats/test_eng_formatting.py,sha256=42f-v-IVN6Toj21CQGre-pOrDk4KZeCmj0qqa9htJeY,8341
pandas/tests/io/formats/test_to_excel.py,sha256=CMTPW-qkV0yuk8Rw6rrGkW1BscvnR0dI3WMmMAEKOIU,12536
pandas/tests/io/formats/test_to_markdown.py,sha256=SXtd7qhiUzGx5LVN6roCsC66tutw78bqdUvU-7Sde0Y,2409
pandas/tests/io/formats/test_style.py,sha256=5zHlu2pl5FSAqjkiB0uPzJmS2SKYTcDpCcWTqJOTO5g,67314
pandas/tests/io/formats/test_css.py,sha256=G1HA8k8Olsl_DR38P_NY846EM-Ombxad6dJsrlXy3ns,6690
pandas/tests/io/formats/test_to_html.py,sha256=JcJoJMgKECOnAOWD775uzs1r6JqZUjJpCYq3ct_IiNA,28420
pandas/tests/io/formats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/formats/test_printing.py,sha256=dPAoaxeoGJLC_n5amJ7hbiuRdhQ4zAIIuF6pNVo3cws,6791
pandas/tests/io/excel/test_xlwt.py,sha256=wAzKB0ABN4a5MV6pcik60gIegGzt7E00vumnHJhS83E,2949
pandas/tests/io/excel/test_xlsxwriter.py,sha256=5b7Ql8iubdkcbD0kovdLo-_y1rxpGhy-41hK4zP9IbY,1988
pandas/tests/io/excel/test_odf.py,sha256=frJY1_BnoK58tK4LEJrKywFsC6PK6yH7Bhwjmb8IjFY,1400
pandas/tests/io/excel/test_xlrd.py,sha256=xPqqqY-AmT_ZovgWqcqrbHalzKju1czkeIFwOrnnLFY,3087
pandas/tests/io/excel/test_openpyxl.py,sha256=NACn1pK_rQ9weNj_QGVF1r9Arw_jp16X2AVilcl0dh0,8066
pandas/tests/io/excel/conftest.py,sha256=nPB_DRdq1GS7bQG0fJ67GXxJzJ_Qw1KAG-QAVpmvJ5Y,1355
pandas/tests/io/excel/test_odswriter.py,sha256=eyCQR8bp4RKIxxcxQHj5VfM90Tw01gVT2WXo2TJ3DM4,406
pandas/tests/io/excel/test_writers.py,sha256=CxX1ny6YmA7CczKcWuwq1ANV9DBZT8OQWhPXvgnMZac,50496
pandas/tests/io/excel/test_style.py,sha256=78FBAsyr8pocixvHgzZ0TnC_P4lhx8FaBeBbE0nbYJo,6411
pandas/tests/io/excel/__init__.py,sha256=_n80uIe9wJliUxpDeLip9AeFa77DGlLO5a65hCMYOTg,958
pandas/tests/io/excel/test_readers.py,sha256=raRuwEPPuz879rO-h2usGtGcOZl1RP1LJsT3hxG5IG8,47181
pandas/tests/io/parser/test_c_parser_only.py,sha256=S8OuBrRMhuymeCJzHy-JDbXqKQLecXXd24y_gJb3-0Y,22853
pandas/tests/io/parser/test_multi_thread.py,sha256=Eay3AY4OKDshQnSLwvYZQ4Q4w4RHqxQaTq_UsEZRS98,3627
pandas/tests/io/parser/test_dtypes.py,sha256=IvRaD4_74N9FzoK1cldCq-5KSExWahL_lWE_-WyivAc,16860
pandas/tests/io/parser/test_read_fwf.py,sha256=bF0dT3qLI17pw-tTAwj8H-J21vOLtfkrqox9bSWFkfg,21041
pandas/tests/io/parser/test_na_values.py,sha256=9CIwPbc-eVYcp--OWYqxG9LNCDqGmOJ3lIBVzLGwSsc,15082
pandas/tests/io/parser/conftest.py,sha256=pDwE1M0dtlDPeX-2Bjh_JbkybOLo56ug0Xah57OMjvA,3566
pandas/tests/io/parser/test_dialect.py,sha256=qC4-wTbddHUSyMObhnjEO-QcoQbvBON61YySPh9X0xY,4090
pandas/tests/io/parser/test_encoding.py,sha256=0ZVHic66L0d6FjfR6sIQE8POK_auwsbHdbsS9J-qWpE,6687
pandas/tests/io/parser/test_skiprows.py,sha256=vjPtoeML78unD0JPLMSTyeRolul6_yueYRGRMW501_c,7010
pandas/tests/io/parser/test_comment.py,sha256=VbhWUm4TmvH0Dh941a_zcjpOoHcQg94QYCtXpkhbgEs,3815
pandas/tests/io/parser/test_index_col.py,sha256=P2ZERSStWet-FcoeEQfPgzKAKhIGdPMs3lfuay-16gg,6814
pandas/tests/io/parser/test_quoting.py,sha256=VR11oMtJh-pI7ZDVrYDAuSYF6SF3vNCKsUzzwLHMRtM,5084
pandas/tests/io/parser/test_parse_dates.py,sha256=BHmytQdZjAiCba1v_hfv_yCJGgqCOIfqHFcUcnpQznQ,47833
pandas/tests/io/parser/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/parser/test_usecols.py,sha256=uwqRVvB7sTHRWzMMohOSIDfpZYXOoc3PHKMOtdHFM0o,16525
pandas/tests/io/parser/test_python_parser_only.py,sha256=eJehmu-4daFdfE5XbovcsYkC8j2GFJc9H7fCZ5GhkUY,9485
pandas/tests/io/parser/test_textreader.py,sha256=cH0X6Z9Xx_E7yVILLIPbVX6huFHPgYrSmNgSkwKQN_8,10666
pandas/tests/io/parser/test_unsupported.py,sha256=80_MkJduwIFWC2q2sM4S0_VJbDKldguzWQUDry5p6fg,4268
pandas/tests/io/parser/test_header.py,sha256=k1wmSIYfzZe78bhpfu3oMjACyAMqsOSC1oop1Q2RH0E,15921
pandas/tests/io/parser/test_mangle_dupes.py,sha256=YlOlgZbj2tghi3Aty9Ljks59oRXwm2rv4eGNsvpk2qw,3863
pandas/tests/io/parser/test_common.py,sha256=Yqnu7u_wIZ4Z6YC0jUjhIHGRxegj_Dp6ogu2l3tWtcY,68373
pandas/tests/io/parser/test_network.py,sha256=o1GHuGIunh46Fv_0z4em3SeDtVK0mMKpbz4o93bDQ4Q,11099
pandas/tests/io/parser/test_compression.py,sha256=H61vL2jeYlEcMumepgtgu5fegTEWMPPQKnFkJ0L4rEM,5128
pandas/tests/io/parser/test_converters.py,sha256=WfHcYaoMXRAHSNX--vVWrmOc710y9vhzYtiEj3Q5iRc,3985
pandas/tests/io/sas/test_sas.py,sha256=C2mvGTXUvmtoroqtSKBPW1SDI9A-Dho1WjN9Wz_5Cf8,695
pandas/tests/io/sas/test_sas7bdat.py,sha256=G-4_60FYd2RGwaUwss34Tf81CVQIPkE3-cTHx4Ta-W4,11800
pandas/tests/io/sas/test_xport.py,sha256=e9kb_D2qc56lxKeSYkDMnRhPmyW5fr18L1GBKHijoPw,5372
pandas/tests/io/sas/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/json/test_readlines.py,sha256=6Qkw6ZL09UemMoha6rZLTnMtYRaj_uV4UCRvqS9LWFo,9321
pandas/tests/io/json/test_json_table_schema.py,sha256=CJVnlGckt89DDR6BZHdIgjt1X6s3BoiOGHaHMK-7Cro,28130
pandas/tests/io/json/test_ujson.py,sha256=xzQhrjM__3rM9PDo1ph4eWptBExX-Wk98OPJRqCaPPg,37454
pandas/tests/io/json/test_pandas.py,sha256=O60lc58O3g5tWLr3Z7NBUZjJ90c7BMoaHmE9r_ksiGg,61489
pandas/tests/io/json/conftest.py,sha256=Zp83o90PvZ56MbhNRr1NZEPTpho7jRHcLYiEA9R_BZw,205
pandas/tests/io/json/test_normalize.py,sha256=JPfV_KlM8iWffdrVkSBzg8Pv6VxsjDfEK3ROF6VuN1Y,26288
pandas/tests/io/json/test_deprecated_kwargs.py,sha256=-hz91joqDj5yjDDF0WCUEr8RqhqxTxEryCHZkb9H1hQ,1144
pandas/tests/io/json/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/json/test_compression.py,sha256=CFStE06lu9YR5ufFajYZA2mdKc7Eq_rsMF_yTDmj_Jc,4301
pandas/tests/config/test_config.py,sha256=5yU3Uvo1mUTiTLCoiw6BnfAq9n3slNaJbgGaDaedlpg,18257
pandas/tests/config/test_localization.py,sha256=PrSp-149Qdk6Jb1iaDYgLqIPfG5dRhwG6YRJO0Go1cA,2861
pandas/tests/config/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/test_pivot_multilevel.py,sha256=m4DRTVrVGHy89tYi8PUXc7RbA_yuRYBWcv1iQyuWRN8,6704
pandas/tests/reshape/test_util.py,sha256=2zI6mgoqJoj9452-hZYdhCp6zXYcb9vCCsObcNXIx9w,2846
pandas/tests/reshape/test_pivot.py,sha256=R8M4CNwBLdKas6sNFnQIyGTpkZ9LNRq0UPc5neIbfRY,74156
pandas/tests/reshape/test_get_dummies.py,sha256=2dqRHmNtOltPE7UJiCTkWi5bzgeTsIfe0AV9sg7elt0,23211
pandas/tests/reshape/test_melt.py,sha256=yS-YQqz-YAr61X-9-0jDs3rkSztunXBsoWQSVKYxkqU,37075
pandas/tests/reshape/test_crosstab.py,sha256=Xq_l-ET2qxER3b7dyRefCYRIuui4IHoTQ07nG81LkRU,29055
pandas/tests/reshape/test_qcut.py,sha256=3HfXrZcflwm48ytznqbgL00ri5IX8gpOz9zoh1K-fKg,8198
pandas/tests/reshape/test_union_categoricals.py,sha256=aTFbe0TlHxZH0ET_fWMGtYpsiKkeBhpuKCnAsMrx9CU,14282
pandas/tests/reshape/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/test_cut.py,sha256=MN6AzA2h-ceeTgiDhURBglBz49UXFf5ZX1o2_UEG17c,20459
pandas/tests/reshape/merge/test_merge_asof.py,sha256=lsX1hYwYxaubZ5NOoQvI1MqwKv7iITlyJSWozQRVX7Y,45632
pandas/tests/reshape/merge/test_merge_cross.py,sha256=JzjwY5kQpgLHp7JbEs2dS3o_G05f20XENVpxscH_ztA,2794
pandas/tests/reshape/merge/test_join.py,sha256=xKUuH_64FTRueksXs43PzcDJ3rOpQgZf8wzfOPcK_MQ,29297
pandas/tests/reshape/merge/test_merge_index_as_string.py,sha256=tKZu1pxnELCuqfdzhHJv-_J-KOteajhrLTxXXCrfPtc,5360
pandas/tests/reshape/merge/test_merge.py,sha256=VJibe8zul1KySiPgI5IF-ychQ35csEwMPWVkwaPRkBQ,81997
pandas/tests/reshape/merge/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/merge/test_multi.py,sha256=6uRtUy6x1VQS_jXSWrILr9WHi0VJkfuVVcYpY_Cf8xI,29909
pandas/tests/reshape/merge/test_merge_ordered.py,sha256=19UQft_scc7h3Js2CMGAKWPYbHSq5xMvfZf6aWW5Vsg,6370
pandas/tests/reshape/concat/test_series.py,sha256=MuX5AjBM4ruh_e77TTWcrQA2vYso0bx47PluYKcqFi0,4950
pandas/tests/reshape/concat/conftest.py,sha256=s94n_rOGHsQKdP2KbCAQEfZeQpesYmhH_d-RNNTkvYc,162
pandas/tests/reshape/concat/test_invalid.py,sha256=5ggdhfY9iAlMT_Nb5_MIyGDWBqRKqXqY0XllIeunFjw,1562
pandas/tests/reshape/concat/test_sort.py,sha256=qkvEpk6g96U8qLbfOPwg8nJ-oB6bL92QCxv-_iSe49U,3115
pandas/tests/reshape/concat/test_concat.py,sha256=rAXaWUnjyLi6nw1OTM2Vug4-fY0sSaMxNPl4AhaAYJY,20224
pandas/tests/reshape/concat/test_append.py,sha256=QjMpPZL4VMhPzkB3OJdgqz1Mx_oMfh3Fspx7ejf48Jk,13535
pandas/tests/reshape/concat/test_index.py,sha256=S32pe58jwHWlAZx9nLolmS5FXDrTBoWgKRojd5zJ5nM,9651
pandas/tests/reshape/concat/test_categorical.py,sha256=WaTuZt1xSDxod8ZM_RriiA1C6vX42_ito954CSmOk4M,6861
pandas/tests/reshape/concat/test_datetimes.py,sha256=9mlQEkBkrbTISp5m7CbtbOCEjmrUMfZulXVG8-VnZaE,18465
pandas/tests/reshape/concat/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/concat/test_append_common.py,sha256=k-cxTQMY8kL3otXi-k0_hc8CLuH0uMJ_tMk_vYV2YFY,28180
pandas/tests/reshape/concat/test_empty.py,sha256=qYVrhJKAoNXxZUUvBmpVX1KSXlU6P0oWWXzH1JUlFDs,8550
pandas/tests/reshape/concat/test_dataframe.py,sha256=T8i-XoiALZeE1GpuWcBnP41hRyCytm5-B9ih9C2Iakk,6382
pandas/tests/tseries/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tseries/offsets/test_offsets.py,sha256=KiJXSaaA1OIcXoPiqQcikKxHze2cQ8LdORHaq3cc2UE,163495
pandas/tests/tseries/offsets/test_ticks.py,sha256=745kjPR92Hmqreuy2pkSIlD3Uc6ejA0OnJzkAXHBoTI,10672
pandas/tests/tseries/offsets/conftest.py,sha256=EToa7cYjNUnSlQY2dMJbI6SrFJkB5hQNOhgUaq13BjE,643
pandas/tests/tseries/offsets/common.py,sha256=P1rsSZLByDzsn-a2A8z24sfVUCV2117ouMyXXyK-1eo,748
pandas/tests/tseries/offsets/test_offsets_properties.py,sha256=664OmB2pQxriSzVJcUpvT79087E3l8RAEQrgpb3SiRM,3591
pandas/tests/tseries/offsets/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tseries/offsets/test_fiscal.py,sha256=R72tbmbrK-YBZnnuAV1Iq2fVa0a5DSFZqXUxbNLIx0U,28005
pandas/tests/tseries/offsets/test_yqm_offsets.py,sha256=i6QebgTSJKLmg4upBpfDh2ij5IwGKQgImreFq9POpFs,50930
pandas/tests/tseries/frequencies/test_freq_code.py,sha256=oGae3OrBChbbbfOs7YuuOHY5BZ5ExGWiie3cqjAFjV8,1991
pandas/tests/tseries/frequencies/test_inference.py,sha256=bhbMbHXzupuNomk1RppTGDfjHZ59sRDRmXz2jUcERvs,14301
pandas/tests/tseries/frequencies/test_frequencies.py,sha256=5eU-nFa3pzpwd-PkO2uV4h-qSQbWdGjarUoSBSt2x7Y,808
pandas/tests/tseries/frequencies/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tseries/holiday/test_observance.py,sha256=GJBqIF4W6QG4k3Yzz6_13WMOR4nHSVzPbixHxO8Tukw,2723
pandas/tests/tseries/holiday/test_holiday.py,sha256=A3OEN0TifKGr9DQlpGMGH0aI05bVWtFf1ukYFtJVn-8,8636
pandas/tests/tseries/holiday/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tseries/holiday/test_federal.py,sha256=TPMPlc2skaMCNbeJ8gDYS7JwsAZFQ16EjdJpN4pQysY,1157
pandas/tests/tseries/holiday/test_calendar.py,sha256=67ajDLqNmu5KsojIQQnBrWKHG_TRbaLRwWczqKKBxM8,3514
pandas/tests/arrays/test_numpy.py,sha256=QdV0-H62PnKs8Wvmu7axcdJDtB_IjzNqXZjMddcdu2Q,6532
pandas/tests/arrays/test_timedeltas.py,sha256=657qMA6Z4ogMlu3xWY4fqGY8jk03ZmOU0CFXEX_6Xn4,12181
pandas/tests/arrays/test_array.py,sha256=Bq_qBjh5BjZDUC7FMr21DJsvIlfPDZbK2IoQJO1WPn8,13565
pandas/tests/arrays/test_datetimelike.py,sha256=kLSVkk4FxbUakQgJsD3c6vioaz9wA1aJApdVqLpgCVo,42238
pandas/tests/arrays/test_datetimes.py,sha256=fQC-nSwHK8jyQgQ_vC0DO62gwgA1_hDE3WoUQnM3ERE,21745
pandas/tests/arrays/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/test_period.py,sha256=Bpu_VVOBHFEEAQ8Q91OcgD49ErqMmzQ_ntozfq5GmRg,13182
pandas/tests/arrays/sparse/test_array.py,sha256=bT2ilDI_YdbhQOk-6Hb8gNNsElfeVTQM8UNYYM5Cljc,46069
pandas/tests/arrays/sparse/test_arithmetics.py,sha256=_JrcF9UKyQOsb6BHNb2D4aCez7xf6eYT_XBvROngknI,20217
pandas/tests/arrays/sparse/test_combine_concat.py,sha256=3NMQXaRQc7Bxn5HhSHffcUE24GZi_VYflnFLnixOgbs,2651
pandas/tests/arrays/sparse/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/sparse/test_accessor.py,sha256=6t1MRpsUwORIhbRMM3JyxH25CRGlF-QVQo4BA7YrIAo,4881
pandas/tests/arrays/sparse/test_libsparse.py,sha256=LTHVEXdN3P0cVKs6FzM843_V0ofG_2nz2HIhPxMTolI,21090
pandas/tests/arrays/sparse/test_dtype.py,sha256=bIUVJWLfT00Np9TJCsoLYdngmThmk0E0g8K3EROD-Z8,5658
pandas/tests/arrays/floating/test_construction.py,sha256=qAKBp4DXSfKct6SFxZzQN58BpzzvvvZxMc-k5qJQPxQ,5176
pandas/tests/arrays/floating/test_function.py,sha256=dxWQDeVir13FR1pBbwzVEZtInhjA7I_vhDAfZ_1jdUU,6130
pandas/tests/arrays/floating/test_astype.py,sha256=DHc8AjOR51kLkmD4SGtmcQMQB0dxg6Ukrzqting_i8A,3917
pandas/tests/arrays/floating/conftest.py,sha256=vEouLU4_uVyMOJKzKvSLoO_lh3aeyO6rC1jz4xzRYfo,814
pandas/tests/arrays/floating/test_comparison.py,sha256=NKRxEmYHAI1NrtQV0By5uJ_D9ZLhPFtmgtHkt7Zu0lg,4146
pandas/tests/arrays/floating/test_concat.py,sha256=jTRivQyq4rJaWPioRDt-UL136Wap5rdpNP73vwY6HQQ,574
pandas/tests/arrays/floating/test_to_numpy.py,sha256=lPUL0Z47k3F0HVi58JIaEOOL7SMybuss0KOofD2E1hQ,4976
pandas/tests/arrays/floating/test_repr.py,sha256=9jfXlRFKDCsPL1ZTkTlDlQHTKs9y69RIfYgR3c7APRs,1145
pandas/tests/arrays/floating/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/floating/test_arithmetic.py,sha256=-V5INL1phLnC5rsTHbf6UgISEwbcvaKW7YcBafornH8,5867
pandas/tests/arrays/boolean/test_construction.py,sha256=QEB5jW6tyfEFqUfr_sblnzEaQ4VKwYoyuXrwW3-P0VU,12857
pandas/tests/arrays/boolean/test_function.py,sha256=v1tKuvQSXqmSBz2UUVh3oQN9jcVy9jH7mq4jkBN1IaA,3536
pandas/tests/arrays/boolean/test_indexing.py,sha256=BorrK8_ZJbN5HWcIX9fCP-BbTCaJsgAGUiza5IwhYr4,361
pandas/tests/arrays/boolean/test_logical.py,sha256=zG2i5fgP7IQOtD3z_GtV4y802MQ1ppyswbmo0SnLKZI,8486
pandas/tests/arrays/boolean/test_astype.py,sha256=jeAO8vaP3wl-ztAhmctM90RIfXuP_XJc76dF7Su6aNQ,1603
pandas/tests/arrays/boolean/test_comparison.py,sha256=rJl3ZfyRMUUHNWW0BmZB3Konjr-TY0Ea9lYa3Uh1zWY,3103
pandas/tests/arrays/boolean/test_repr.py,sha256=RRljPIDi6jDNhUdbjKMc75Mst-wm92l-H6b5Y-lCCJA,437
pandas/tests/arrays/boolean/test_ops.py,sha256=4bwSXbXRldT2OvuWCVGgnJLXoe2V99-s0_vJIQQ68KQ,745
pandas/tests/arrays/boolean/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/boolean/test_arithmetic.py,sha256=wy_n88X0YnQdReLgnANzeTHJmrexInVI9c3kl9xarmg,2935
pandas/tests/arrays/boolean/test_reduction.py,sha256=KJx4QD5sy94U0TrGuugFzBnp4XtjFahHsSQZwMY4KUo,2017
pandas/tests/arrays/masked/test_arrow_compat.py,sha256=HAxEp_H1b0giJegj4EyQLSvc6pNPPT981i5JizUbf1E,1993
pandas/tests/arrays/masked/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/masked/test_arithmetic.py,sha256=m1ZXewkdxCvcqgSiKdb5hMqeFTKgAXHZYnVazojW31M,5770
pandas/tests/arrays/string_/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/string_/test_string.py,sha256=l5vN05y3if9r6aelcvAu3g3R2uOBSiz9apVFDP75ynM,18054
pandas/tests/arrays/string_/test_string_arrow.py,sha256=BUd3BSV3N4b_QoHnu2taBJTDCTncmzc9DsWH4dSgh6o,798
pandas/tests/arrays/categorical/test_subclass.py,sha256=v-VtvFFLSUt9zXoLOf7YLbda4q0NQVqRWck9x2qtXys,852
pandas/tests/arrays/categorical/test_missing.py,sha256=5Knlv05eI4VYZ6-AZhlb4Ut1kUU6fBVakRPEY8-sU7U,6550
pandas/tests/arrays/categorical/test_constructors.py,sha256=daG-fXldaCVFHqNcmyYeLFAbyHgeW9iM4xdESvGT1Tc,27512
pandas/tests/arrays/categorical/test_indexing.py,sha256=vohK1X-6qms4RxKK50I4QKkdHONYzBkZGcvM9fcGA4A,12452
pandas/tests/arrays/categorical/test_take.py,sha256=9By-IRuQqd-2ws9wBx68DaGJKQ2EXSCUpKQB7tg4dy0,3644
pandas/tests/arrays/categorical/test_dtypes.py,sha256=WxDjTDGs5_i8c-FXAoQZ4phH9rXamtpnuc1JOsa3RuQ,7341
pandas/tests/arrays/categorical/test_warnings.py,sha256=7PNlvBCC0olHzx7ziQ42M_w5YEQaxPtqT0zfGj7IrP4,731
pandas/tests/arrays/categorical/conftest.py,sha256=AmIOXNVnHCRF2-kO0cLEU6YDahNTFvUrHAbYSv3HxrA,166
pandas/tests/arrays/categorical/common.py,sha256=lQ8b1Pb6EWPTcKE-PQ9cymIcuDWYzH1JDyxmU6PaOi4,204
pandas/tests/arrays/categorical/test_algos.py,sha256=0bNc6nJ4oaD-RJAa6D4RX4TJpHjd9-PZ9LF8DIK8pG4,2589
pandas/tests/arrays/categorical/test_operators.py,sha256=WOWYH_ZwlAt6yooJLu1Lg4yaz_80TPP_eeTv20J5A5Q,15558
pandas/tests/arrays/categorical/test_api.py,sha256=gvX7lOZDFoAUCtyilUCgjphWqpPFA66lckGp2mXVjRE,20671
pandas/tests/arrays/categorical/test_repr.py,sha256=qPV4O57AHAN8Oi0nZEJWDp2kbnWfNNoTHP_ZPYbJ2OA,26265
pandas/tests/arrays/categorical/test_replace.py,sha256=u8Thfxjvsqb7I2VnnhCmWQp-nJzzF6LP4JcNfvu1O5w,2708
pandas/tests/arrays/categorical/test_analytics.py,sha256=nKpfeR5YvlXosmjsQPZcuQoAMmezdTt2TkMdrCssD5k,14429
pandas/tests/arrays/categorical/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/categorical/test_sorting.py,sha256=EQFXTYRygVTFGxaQviN6oh0N1WyndkhwbtYveGVdGhY,5040
pandas/tests/arrays/integer/test_construction.py,sha256=PBfvTIOpbiaahYTi4KRkiaZ0efCeaqWMXeGUMjLAS04,6296
pandas/tests/arrays/integer/test_function.py,sha256=0IbLhLW9WZjYB3OpdvAxbIFxoOIFkfn8Lk0Py192Q1A,6360
pandas/tests/arrays/integer/test_indexing.py,sha256=rgwcafGbwJztl_N4CalvAnW6FKfKVNzJcE-RjcXMpR8,498
pandas/tests/arrays/integer/test_dtypes.py,sha256=qno5AbrlLZ7rI10rLz9CPam8v8wCgJ4UcXMOfx2_5NQ,8995
pandas/tests/arrays/integer/conftest.py,sha256=BxlWeJ_dw76yIiZw9HY32XrLZ3_sOAWHzXPCRpXW5Iw,1043
pandas/tests/arrays/integer/test_comparison.py,sha256=D6fpm4saQeocjgKcmpKLE4l3wG74b9CTXn-XLuucLec,4005
pandas/tests/arrays/integer/test_concat.py,sha256=LUlEoVb7pCmZq8weLGrkEq7ez_BvChHQx6zQFc0GpBk,2131
pandas/tests/arrays/integer/test_repr.py,sha256=mYOiocG6DgylWZ6pRiYDdy5hL4oPqVT2UEc_r8ZzNUY,1708
pandas/tests/arrays/integer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/arrays/integer/test_arithmetic.py,sha256=A5EG1TOv8f4Jeh90fxf8hXjNCeBouJ8Nbt169nuN3iE,10068
pandas/tests/arrays/interval/test_astype.py,sha256=WE18BCsDF2tG3UIoRf_ch-2YbsIqkd-iUXJ_fKCuZRs,755
pandas/tests/arrays/interval/test_interval.py,sha256=gYWlmEipnjtPLmb7RMXpj_GWtEHEvw0lMCaNBQa-RzU,8595
pandas/tests/arrays/interval/test_ops.py,sha256=LuD-eLEeEKUtm2agpa30Y9G_5pLRnz4WpfjO6sSFipQ,3258
pandas/tests/arrays/interval/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/generic/test_series.py,sha256=7yKKoCYbJ3rEQkaBLZVbiCQXnGrP183vGnN0pVLvhEE,4367
pandas/tests/generic/test_frame.py,sha256=W4BmdixD0K7-ge6RXOXkzoMd1h4bad_B2ZPsNaSGliw,7230
pandas/tests/generic/test_duplicate_labels.py,sha256=ONy1GYM51TdBY4Ugguixx6dgYkDPwDgutGLRCDJ588g,16165
pandas/tests/generic/test_to_xarray.py,sha256=h1cVbP6Q9VXTrR4lJFM7XgWP0_W_F2C3B3mzNmguvlE,4360
pandas/tests/generic/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/generic/test_label_or_level_utils.py,sha256=OGS9hYHw-vg_IH8Q0_U0g7rPALi0UZNKZW_PHLv9tQ0,9968
pandas/tests/generic/test_finalize.py,sha256=SWD13MSHuzFQF7rcM3Z8CYUal5uqeQPWA3NcSrFaYp4,26845
pandas/tests/generic/test_generic.py,sha256=gerakICtLAn9QUV6qWmf7wzwfPKJcXi3iwZzjwSe0PM,16483
pandas/tests/generic/methods/test_reorder_levels.py,sha256=2auxCleSGqEtLhXpanVW_EASWeW1SXESK29Np93uocI,2777
pandas/tests/generic/methods/test_sample.py,sha256=pH2xDf4LsqVu9AZfISO_aDLihJ9Jglrbefi6Efp8tTY,10453
pandas/tests/generic/methods/test_first_valid_index.py,sha256=9bVulRtVZhYPAm84pEZTdYWheeP-kdF04jRnB9FqiR8,3302
pandas/tests/generic/methods/test_dot.py,sha256=-CZonxYOdqmxA0Hj5RGFnE7SlLjqvQkULhmWvpmuM7s,3886
pandas/tests/generic/methods/test_pipe.py,sha256=TVupuW7m6U1PojgIbwGP-DnrnJcy7_HlJLDnW8XPYOE,970
pandas/tests/generic/methods/__init__.py,sha256=M3eHcEuMAl9kPVH4O2bHuAgb7Phew-2Ur7vSyeLW0vA,58
pandas/tests/generic/methods/test_set_axis.py,sha256=DtJDaYWgQcM33N_4gulAxpzGIGuDw1lwgQxHBd3_-eo,3005
pandas/tests/resample/test_datetime_index.py,sha256=LdB2Z99ZiE2F2-snqamnR9h8rAqG6knKSPvswdKsNrU,59647
pandas/tests/resample/test_deprecated.py,sha256=Q_9-cy8QnFdL-qGghsiGURXddh7SYwEn78uiW3dwiYU,10148
pandas/tests/resample/test_resample_api.py,sha256=f4uU6dOwc6kdVxVvilJ1lAJOTQ3sN46lLsO1Vy2ugQk,18951
pandas/tests/resample/test_time_grouper.py,sha256=Gcm0T4H88exXuflo8Y6gTkf7pxXGtueym-ObxO-2cU8,11022
pandas/tests/resample/conftest.py,sha256=B0V3eJQwVyeZ1q9-IY_ENDoIIMyZlGb1kwfLZ3DnrMs,4149
pandas/tests/resample/test_period_index.py,sha256=cFYY0qdyAVAKeXNkAT1Kr6mQA7dXQpCowXyXPKRALIc,33720
pandas/tests/resample/test_base.py,sha256=XtMieSITU3JdbVUKz1YEVacYnCylnsnamhzYUgsj5LE,7259
pandas/tests/resample/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/resample/test_timedelta.py,sha256=CkYjLrLn2woOTG9PSF1sgmSmgc-DYYaUc1kPWsg6Lpg,6186
pandas/tests/resample/test_resampler_grouper.py,sha256=brePtzlws5W7IaDJkJwjt_4UEZP83PL-ZOpO8jt1OX4,13210
pandas/tests/frame/test_subclass.py,sha256=eu0VxXNyqmHZCWkhaKPJNXr-P5OvrUmRaM-ZJza_C_w,23573
pandas/tests/frame/test_nonunique_indexes.py,sha256=vxoydpu2s_ibt3A0MANkifu-y0cCj8xFr1JUXWvB7x0,16606
pandas/tests/frame/test_constructors.py,sha256=V40gYiEZOKkSFU86c1GFNLNleZ6Fik0RXCbBR9F3kn4,108115
pandas/tests/frame/test_logical_ops.py,sha256=Oo9zqViY6KpzIhESZPytA8XHfJ8ugRi4tN2BdXkX5W0,6147
pandas/tests/frame/test_stack_unstack.py,sha256=H0_cQ2-a-OvyxdEE6S07pea81sLdkRwkTBM8pssEFy8,66897
pandas/tests/frame/conftest.py,sha256=XR6wOZ5YqzjoQIwJgAIYnFevWzBNVW6Ez9uwQQoB9h4,9007
pandas/tests/frame/common.py,sha256=znTpNsC-wXMPlWyWTpTarofKMfrh3uIuVTOcAaDzUvk,1753
pandas/tests/frame/test_alter_axes.py,sha256=feJ3Z2QYnDatFIFmjUxIFeFWmPHdl5fPqpA-92M4wZo,6592
pandas/tests/frame/test_reductions.py,sha256=IcdrQVHylVUN3Mrshm04JRXSmw1SXI1ikJ3YtjwsdLo,52981
pandas/tests/frame/test_validate.py,sha256=hSQAfdZOKBe2MnbTBgWULmtA459zctixj7Qjy6bRg20,1094
pandas/tests/frame/test_query_eval.py,sha256=CZEjM8kFJlztCQNNLO8b0q2fMFMSvJkdxfchq2IZza0,47508
pandas/tests/frame/test_repr_info.py,sha256=kdb9dnXTGgiJQjuxOdFTNpeGqUa6vv8rCKO5PfCZ3-k,9383
pandas/tests/frame/test_api.py,sha256=bpuxo2OmzzNDoUT0NEZtOumXw3qhiEuX7eI-uH2qGvY,10455
pandas/tests/frame/test_block_internals.py,sha256=jvaLkAxmOTZoXGwrVNfZcgnqx8uHEDAsgMRI9mQyCA8,14058
pandas/tests/frame/test_npfuncs.py,sha256=-NSheoQzQ7ZwNTeWvlmAuPtuGrA__Ax-lFWVs3HqhW4,840
pandas/tests/frame/test_cumulative.py,sha256=YJQK-X6aL6A8GXpxreExpiosIHwEJzhyihZmt3Wvi1U,4228
pandas/tests/frame/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/frame/test_arithmetic.py,sha256=CHy-JamCH43lw7tLpho9k10wafgu4enLzyfVaDRZpGU,59472
pandas/tests/frame/test_ufunc.py,sha256=65bsHJsE83Lsvl4REFUF3NpjXGc8romB2ay0Rb1Nsa8,9952
pandas/tests/frame/test_unary.py,sha256=eSnR7ND06uyq4DyydjRciEv09ve_KIbIIxIwwLP3zpM,3775
pandas/tests/frame/test_iteration.py,sha256=0j1hocA0RoMa0QGqpRYHmwIyj4n2FHqRzyWDqpUw-do,5111
pandas/tests/frame/indexing/test_where.py,sha256=fkeSCbHw7k51LqKjuTxK8n82VnafofSJS0g8Y1sEK1s,23272
pandas/tests/frame/indexing/test_indexing.py,sha256=-SKH388OsLj76Coe_tAhSJ2bDBbtlE7SMq5JrTBXA48,58415
pandas/tests/frame/indexing/test_take.py,sha256=DjYzYfwSpl7Mn6NcLSHHFoADjMpS8jZCKIPY7YhxQ6I,2927
pandas/tests/frame/indexing/test_lookup.py,sha256=Pd6owPVn6Q2wedI9gMxPLZgt_9luBqsbR2TVshQEELU,3372
pandas/tests/frame/indexing/test_set_value.py,sha256=C7qSCupAwtP5Hnvem7jtv6EeEJdLIg0KAA3GUu5m_Kg,2338
pandas/tests/frame/indexing/test_get_value.py,sha256=kd0UskkqUlwI-2G_Km_qjRo9-Uxxol379hFaVx_aZzE,666
pandas/tests/frame/indexing/test_xs.py,sha256=47Mfkr3kcw5WHX7D83BC3Y9OE18nL7U39RNyZKRX1AQ,11772
pandas/tests/frame/indexing/test_getitem.py,sha256=C8OuwTgBZ2XOJNAXin2PPpH90yZSPWK5_rgRC1ytxrU,5364
pandas/tests/frame/indexing/test_mask.py,sha256=HJ3e1_jP8tzPt0XOZjn3_7idkNNfV4DLS7z1mgJcjCI,2814
pandas/tests/frame/indexing/test_get.py,sha256=N00_igU25_HjYuvAqDQKqBpqbz6HjB97o9Exvbo9BzM,662
pandas/tests/frame/indexing/test_delitem.py,sha256=ZwRWiENv9zid2AT8LJht6nLZJOJCz_8P1cdRyH1LuuI,1765
pandas/tests/frame/indexing/test_categorical.py,sha256=JnHKgqbvZmnKMBM7F0m-MJjZAw3zqGuD9Jw9_vF2fQ4,14023
pandas/tests/frame/indexing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/frame/indexing/test_insert.py,sha256=3ifE-e02wGAFaEhQjnYMatLoOPrDWGqfvjNlqg3U_t0,2291
pandas/tests/frame/indexing/test_setitem.py,sha256=N3X0IxwVxQNy42C7Xgh2TcS-bg9WJkJ5Z0JA5jM0JoM,14138
pandas/tests/frame/apply/test_apply_relabeling.py,sha256=4e0IX8gkBA-y4polLRHmYrbZeM_F5IrnU7e3XnCa9Sw,3679
pandas/tests/frame/apply/test_frame_transform.py,sha256=mJ89itltV56UbZY2ILoFs1jUO8DX3aMmfPFVFAB25pI,9071
pandas/tests/frame/apply/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/frame/apply/test_frame_apply.py,sha256=HS1-7dAINMIpFk-uDeVA_lAnsz_g5aP3QjVnWUfZ7Hw,54977
pandas/tests/frame/methods/test_to_csv.py,sha256=JGAkMAYOlglo2BoJSP80wLbmgIZrHE05B5SDtE-McqE,47293
pandas/tests/frame/methods/test_convert_dtypes.py,sha256=TDpMwXsyb8NdUlOVm8NZMa3CCm_rDkRnzOUjwlVfH5Q,929
pandas/tests/frame/methods/test_explode.py,sha256=1Z7P2aXM2FEC13lqgRJnLYAoZSJTHnNe0Ht8sLepgi4,5615
pandas/tests/frame/methods/test_reindex_like.py,sha256=2qgqaHDSEKYO1hwE9MaPTFJhl4m7rejHyuOcrmvqaBg,1187
pandas/tests/frame/methods/test_combine.py,sha256=wNaQqokqHsJmrZ9NQIao58ZT0hSkkTH14I7_Oq8tADs,1359
pandas/tests/frame/methods/test_filter.py,sha256=qpHVkTo7lpmvAPOprKg3pKJRK5c6wD2Pz8o5QJwYWfY,4930
pandas/tests/frame/methods/test_fillna.py,sha256=vyxsXwmI1xMruZfr428c1YwpV1xvXLpN1Xkyehy-rSs,18194
pandas/tests/frame/methods/test_first_and_last.py,sha256=Ffp5_4jdrfmW2WuYSGPdqDPjgOgjadlgIZMmeZYj46Y,2080
pandas/tests/frame/methods/test_swapaxes.py,sha256=2UK5z7SGHTMFWqIGmwZeCwu1xD_3EV7bb8y36yN8lAA,664
pandas/tests/frame/methods/test_quantile.py,sha256=utWkzVvxcuTatKzmzrUINPAmaHqkd83Hdu1PdrwtuDw,17872
pandas/tests/frame/methods/test_sort_index.py,sha256=KUhsrTYwMNmgN3042M3RmDzK4WABKL-P49L34WH1W_A,29785
pandas/tests/frame/methods/test_drop_duplicates.py,sha256=UdI9CJ-n-m8jxLq3MQxcZeCJN-ywik3Qx6OElofWeic,14532
pandas/tests/frame/methods/test_to_period.py,sha256=ZCtkqzBGlVtiNTIFqmnL0wjhq7wIaXmYdRp_4yS3dGo,2747
pandas/tests/frame/methods/test_cov_corr.py,sha256=MDDRn8GvBlN_gOf902wVSJJG4utuB9i6rj4JFyBgJyk,12564
pandas/tests/frame/methods/test_nlargest.py,sha256=Kv2XkfvUUrEbb0IftKA8MiEQpTVX61bfRiNwO5qM6xo,6731
pandas/tests/frame/methods/test_dtypes.py,sha256=edGACBFtXqTPnOLMHb4RzJMVn0AInXJcMTvf0ZM6wVU,4229
pandas/tests/frame/methods/test_rename_axis.py,sha256=rEkjVNzAcRdr3i1F-D9n0yFtoN1oBUPVmRH0tpB6950,4074
pandas/tests/frame/methods/test_astype.py,sha256=Ep0mnL1gH44ro6isXr4Bqs_EGU6C0bMxe7Nofs3SDVE,22241
pandas/tests/frame/methods/test_interpolate.py,sha256=44B6g3O62_PNK8uEbeuLWWr_HVbR5ltz0pzAAdqseI0,11816
pandas/tests/frame/methods/test_select_dtypes.py,sha256=ORfZboUyHi-BKPkyZee6kEv0TD0Phixm7-Nj9EJTU9A,11960
pandas/tests/frame/methods/test_is_homogeneous_dtype.py,sha256=JfPxBfVcB8bMlATJi26qsKCk4CKHnO4rqQRlA-g-SqI,1257
pandas/tests/frame/methods/test_describe.py,sha256=t7MUmGW6DadARd2jSv1scUJDiBXXhHW5lYojq3dua-o,12434
pandas/tests/frame/methods/test_at_time.py,sha256=283Sb4t3AmrM6UldMBe_1AdlUooh3ft9jbmIBcmFdS4,4065
pandas/tests/frame/methods/test_head_tail.py,sha256=nZIygQxyyPQK2G4hgw6zkeF6H_KWoTOZ6rp_zZNQMxY,1911
pandas/tests/frame/methods/test_value_counts.py,sha256=R37l0DvKDumMx-_VJBMF3tO2XQLmGIr-rXJ2A-TiNzU,2631
pandas/tests/frame/methods/test_compare.py,sha256=8MkvFaOb8Dve1M2BMRMyO7e43xd5IBFChSkpcQi0Nf0,6158
pandas/tests/frame/methods/test_tz_localize.py,sha256=AkfQNS5pYbvg2DnENZ2ir7t4vxzLsLkO7VifR4GCxOs,1357
pandas/tests/frame/methods/test_between_time.py,sha256=unSN5ZGKW2h6jsIQX9T6_4eLfKnvVd7OkzyrdnH7lro,6577
pandas/tests/frame/methods/test_set_index.py,sha256=KAI4JVbqO7n0XpyhldDAxVm8vbcyY82UUw2-Ss4z_JE,24556
pandas/tests/frame/methods/test_align.py,sha256=Y4M-kymndfa25fGaEQyHlTJPNDUBnP4CC4tDEy8OXIE,11301
pandas/tests/frame/methods/test_transpose.py,sha256=OJu14OvQqwRl8u7Ig9C6rM4R5tkCS-FUos91BmSZsLU,2875
pandas/tests/frame/methods/test_values.py,sha256=jC9EpQRSN54OuP3fcG6D5ZfHOT5A3dQeBJaFhAf-MMo,7156
pandas/tests/frame/methods/test_join.py,sha256=bSYSTAllbO0eMjq5MqVWEcpLrwS_HERF2MPVLJSR7vU,11281
pandas/tests/frame/methods/test_rename.py,sha256=V2v3Z4MV0medIV-sTwEuL0WCqEo0x_lxRkrxxVF0ieE,13189
pandas/tests/frame/methods/test_duplicated.py,sha256=uZny1IMRwnhywj0T5nA-Rp4LK6-w_dcs5B3Z22Uhz68,3191
pandas/tests/frame/methods/test_update.py,sha256=7ah7ylV_kMq-NtaI-FYgfThPe-6JO_wOLiVfLe6f11M,4259
pandas/tests/frame/methods/test_tz_convert.py,sha256=pRiM9beGU94xGYaN9ZB5rKTeOGKJJh_5vFiHP_ch-Ms,4032
pandas/tests/frame/methods/test_dropna.py,sha256=EzLqgfR2IecAyoO_0XKsx5jvSn-Xf59R8Hq9v31R59I,7549
pandas/tests/frame/methods/test_to_numpy.py,sha256=iTKyM8wZV74T8jBCAWfbO9RrlRJSwPeByL-nSfKj_34,1160
pandas/tests/frame/methods/test_get_numeric_data.py,sha256=XWB4K1ycXR3zpX30ZqXN4UjkskoESjylxq4m9EzW3I8,3178
pandas/tests/frame/methods/test_append.py,sha256=F9NLTSTpjau3Pg11OslUMvwGoc9ypvbF2dos5tW_NJU,7730
pandas/tests/frame/methods/test_isin.py,sha256=_XJ6gxuGxaJSgtArvW6MqBdjyXfsc4eYYHfVWUWLp1s,7306
pandas/tests/frame/methods/test_to_timestamp.py,sha256=Yaolvdm9zblJybpXlNjIg7HfPhz5E-sA8QWWKveOuU4,5768
pandas/tests/frame/methods/test_diff.py,sha256=h20r5Cc442yHGEWf-FlI17lneWmM-jas3cirNLcVHVs,9164
pandas/tests/frame/methods/test_replace.py,sha256=4rzzTfN0T68UbvcB24c7JUlPnJC-MisNrVK-kHcNf20,61055
pandas/tests/frame/methods/test_copy.py,sha256=fc4bDLuCxyz5linfAdq-sqNxw-SdUHOVO9VT8RKla2E,1238
pandas/tests/frame/methods/test_pct_change.py,sha256=sjVvcG7BH5x66IVDkMO6x9RLEBzHkb6B6iOSVU-67A0,4528
pandas/tests/frame/methods/test_to_records.py,sha256=XmZt08MkRF_36w_MmCNBh_YdXeQyZOXg5SgZGtj6tMU,14042
pandas/tests/frame/methods/test_infer_objects.py,sha256=LNOf2VJsV17FDT9ogEDba6la414yUmm5z_7B97nLN24,1241
pandas/tests/frame/methods/test_clip.py,sha256=Cb-B0LvAZNDJl4uABXvOCdYc_mP18eGAHc62q0e6NCU,6005
pandas/tests/frame/methods/test_asof.py,sha256=ofv0SVedBu2npPOul6fZerv8AaaAcSX5Hhh7D6aU-ik,5883
pandas/tests/frame/methods/test_drop.py,sha256=iwHQrrePIL7QDVRzLzHgCcQgJ-K7WRmGr_hN3fDUn9I,16331
pandas/tests/frame/methods/test_matmul.py,sha256=LGYcDFx6ALhLYpkasUM1Kw-y9KltAsoDZ1h4TjU53kY,2830
pandas/tests/frame/methods/test_pop.py,sha256=iI2IsccJHfUum2vU3e4Zy215QitP1oSJunZwz1Xd1JA,2099
pandas/tests/frame/methods/test_truncate.py,sha256=QOBjCNpu-p8HcWDYiwU_NZrWRNEa5hbreYCT9p_Ekzk,4935
pandas/tests/frame/methods/test_combine_first.py,sha256=bJxcejyzX83dzdfs3IR48-UE_laU5RUmlDgMNxfDQq4,15954
pandas/tests/frame/methods/test_equals.py,sha256=XC8ypiNaICbbZTpRAiNQtqEilmUjC4apOS3JWeRxGyY,2714
pandas/tests/frame/methods/__init__.py,sha256=M6dCS5d750Fzf9GX7xyNka-SZ2wJFCL66y5j-moHhwo,229
pandas/tests/frame/methods/test_shift.py,sha256=KLKiRgKMIVKcLbhJV8Quvp8hAbi3wmn5n64IpBmHkRM,11010
pandas/tests/frame/methods/test_convert.py,sha256=O4unr-2eXHt_Ct9GgxuFALAmQehMs-PW7_YpiwTxj4I,2082
pandas/tests/frame/methods/test_swaplevel.py,sha256=Y8npUpIQM0lSdIwY7auGcLJaF21JOb-KlVU3cvSLsOg,1277
pandas/tests/frame/methods/test_to_dict.py,sha256=uZh_YvfqcKUSrti2Kz97qEcQyIQ_pfQyMeao8yYAe2o,10227
pandas/tests/frame/methods/test_reset_index.py,sha256=qb1EMXUxdcKG9cqZEZ6utdHBzy_q3J49JUPZ5hnN3t8,22730
pandas/tests/frame/methods/test_round.py,sha256=tI4V7iHr9xvUz59KaVW5V_A8IxgKdaQwzOVnQWW0Hok,7907
pandas/tests/frame/methods/test_to_dict_of_blocks.py,sha256=U7auS-HKD6iBtYDYQtUTJc2ggpOK1j2HJIh6lLO-U3I,2187
pandas/tests/frame/methods/test_asfreq.py,sha256=RR1tbWbOW4W1nL5O48OxXzHrWUGcZySNk-GqXV9f2sM,3054
pandas/tests/frame/methods/test_rank.py,sha256=wv6RVPaHILdrVKPHlhFHhYJDAxOSyzX7vzSg3zhJlSg,11377
pandas/tests/frame/methods/test_add_prefix_suffix.py,sha256=jX_f1l0z7txhO14k8_UaHJYG7WIY3FXRlDxeOVv7OPU,784
pandas/tests/frame/methods/test_reindex.py,sha256=xpA0YO3oRCBfybDG-QemsTICj6TmZgOPnMwr8Ian3zs,32934
pandas/tests/frame/methods/test_count.py,sha256=fSC84-g7oI03uP-Xi2LoXhb0Zu7KpQ1Y0huwiqdwWug,4562
pandas/tests/frame/methods/test_droplevel.py,sha256=-4NJUOc5KDZjmXPm8Ovo9WJaqksAEeRV7_Junxh-9jY,1236
pandas/tests/frame/methods/test_sort_values.py,sha256=vcDo_yweQsIvzGG0fsrVzJ0PxOLF0XA-tSPz-TAWDko,27973
pandas/tests/frame/methods/test_assign.py,sha256=xFGREzLhP1wj3MowBimeYbMWBNiII0280DiOXI6WDB0,2982
pandas/tests/groupby/test_groupby_shift_diff.py,sha256=yXBIZ-x6RqPPpEHSAgzUc6dXr54BZBOG7YU2YPe6KQo,3248
pandas/tests/groupby/test_grouping.py,sha256=7O7pVw_B6KaCwo8OaYmlw38f9USlgZS9Dau-UETEjyw,35842
pandas/tests/groupby/test_function.py,sha256=D3pdw0x9RFyyK3vKGDXLDXdyeK4Ou2gTTpQYjbR5mqA,35775
pandas/tests/groupby/test_missing.py,sha256=NB1H4PZEJjR3dSZR001ULuxFjMmiO7K2LRcLZbP7Nv0,4009
pandas/tests/groupby/test_nunique.py,sha256=S_Aph7KfC0MK9NruzTe53oB3GHU0GOt0TzDR6nnfy28,5770
pandas/tests/groupby/test_allowlist.py,sha256=RPa62RuA0Frh9nctnUadNucomYApBPINaoCr5yoTN3A,10565
pandas/tests/groupby/test_quantile.py,sha256=q61MqRj_rIoa247qxKRQ5fG6JvglTMRcnlmHeFKBxV0,9252
pandas/tests/groupby/test_index_as_string.py,sha256=KQOXdEoOc0Y1ebWV79oZYzUH8soAb0SaISo2qBCiPNk,2069
pandas/tests/groupby/test_apply_mutate.py,sha256=N8v0qkMCNwjLz5cbc3Y3bHvtfUDx4cV7vj3YfME9i-I,1849
pandas/tests/groupby/test_groupby_subclass.py,sha256=bfvEC9xKVJZ6hVVbwxKj2U88ZCr_KlQ5TuZsnHoFYzc,2669
pandas/tests/groupby/test_apply.py,sha256=13CDZdOX22n-YebUG-ow1-gqbxtHBUbAyoodv8L3HHU,34565
pandas/tests/groupby/test_value_counts.py,sha256=FIw18B6uVK2BMpIGmD1h_KAzKNoWNZHdvezUIs7Hy-A,3514
pandas/tests/groupby/test_sample.py,sha256=TwtzvT_R-O2CDPq2MTWKGgVavY8CI2rjnJlzlB17PH8,4358
pandas/tests/groupby/test_size.py,sha256=qUgMcbHUN01IJfoo5eGKioG8PE_yAN5YwVJsuuz4cSU,2148
pandas/tests/groupby/conftest.py,sha256=lNYEAK85v2neJ8PFyszKLXbs-I-3auSow6BU-VPwN74,3425
pandas/tests/groupby/test_filters.py,sha256=cbqCWd36zBQ9BZO_-fYcz-fVllDCHUSbAPPMGViQjfk,20327
pandas/tests/groupby/test_nth.py,sha256=W7kKU9gNms_uJO2H2E_4a0yg1tmfpPYKubrZ2QWqmyE,20252
pandas/tests/groupby/test_groupby_dropna.py,sha256=PIv3pVxTubhfnSIvmUWaabvpQX3ZwtWNlSS6Tf8S53M,10836
pandas/tests/groupby/test_libgroupby.py,sha256=Qvotf3KmKzE-UpVxkoVS-RhjKjAN49uqiac8nqs1SjI,7553
pandas/tests/groupby/test_pipe.py,sha256=Q6_lZJ1UjBHOPiH744m9rTP5xULjwnV8pGvXLNZESRw,2069
pandas/tests/groupby/test_categorical.py,sha256=sDUkJLE2W5R89YWGmwETSEAVYp2GsZWyDwf9Rn8LXVU,55821
pandas/tests/groupby/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/groupby/test_timegrouper.py,sha256=5emrK8j-dcyVa1u4AqigvNTgJDSOl9hmkl9_CS0D_tU,28269
pandas/tests/groupby/test_counting.py,sha256=CJfZROptzAa04EtfWMJAqUXrSChy03t_DBEbYRJfpgQ,12748
pandas/tests/groupby/test_bin_groupby.py,sha256=v6d2w6r_2I8Wpmj1ZiG_clFxDgBZpy1fWPfCzE1g7eY,3023
pandas/tests/groupby/test_rank.py,sha256=j5H-VbgPpFInE7FKWjDDv24n6hfz5W5G--pM-QpglRc,17961
pandas/tests/groupby/test_groupby.py,sha256=OtPkTEjtV8058xDo78OEsQDa2-xhKnIz2TcN4PfUZEc,64183
pandas/tests/groupby/transform/test_numba.py,sha256=N41kCqMTTAu8HCTA9odVlOQ2e41UnqTAFqXIHCFE-pY,5152
pandas/tests/groupby/transform/test_transform.py,sha256=7oWSsOKE9Hpn2fg6pI1jfZO9pE9kx0AlRaa76L99tjI,37892
pandas/tests/groupby/transform/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/groupby/aggregate/test_other.py,sha256=z2S-_B48TacTg6UvCQLTxy-uVC2Z85S8B1reSwWYyJA,19113
pandas/tests/groupby/aggregate/test_aggregate.py,sha256=lnmZSVmyvjFRWZqLrOKE7UHhH98ky7p-VqHNKWyPvtM,39821
pandas/tests/groupby/aggregate/test_numba.py,sha256=mQU3CNcYgYsYLInQbYx4jVI_eoeDYYvXOGK5bNTusBs,5280
pandas/tests/groupby/aggregate/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/groupby/aggregate/test_cython.py,sha256=dF-f1lWrYmHfejwxxolGoudOxbcU_OKVrO0RoMj_i6Y,10775
pandas/tests/tslibs/test_ccalendar.py,sha256=T3-v4p6y4V3w9Heea-gW5CGhlnfF7kqaeuew8kmcCag,1948
pandas/tests/tslibs/test_timedeltas.py,sha256=2_GQmwHkliJCfNl4ziMgtINWyM74VysYBhLNApMBUQU,960
pandas/tests/tslibs/test_libfrequencies.py,sha256=1aQnyjAA2F2-xfTlTa081uVE3dTBb2CdkYv8Cry5Gn0,769
pandas/tests/tslibs/test_parsing.py,sha256=UzZ_P_Wx0uL8HKxsOZNwIZjIcm4cNBGVN9kv3rpAdpo,6592
pandas/tests/tslibs/test_array_to_datetime.py,sha256=v2l22eFeN6AX7VV7Hj4wDINB9ElGu92d1cF99UYSnys,6091
pandas/tests/tslibs/test_parse_iso8601.py,sha256=XIidGrTdVtTyauCww9brdCCIcnbXxXuWYqREVorC66E,2069
pandas/tests/tslibs/test_timezones.py,sha256=KYon3u_vJivo-ULCDk_G6m6gyFT-ABYhkURpVdSHbiM,4089
pandas/tests/tslibs/test_conversion.py,sha256=-N3j4yh1OspTkhrIjou812ZGzFiogl9AGO6C4UuRG74,3973
pandas/tests/tslibs/test_api.py,sha256=4oRMvbX4LqH6uAdEMtdCq27EetY7DzPdp1U-yjoQ7co,1241
pandas/tests/tslibs/test_liboffsets.py,sha256=NKIfmAvmwijrImQJ6ukG-klGnTX5jBCdU0naYf3h5m8,5095
pandas/tests/tslibs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tslibs/test_to_offset.py,sha256=GapjHr9FLpxVk9NprtQ5o3l_H-kcPq1hMlzmenUIN6I,4769
pandas/tests/tslibs/test_period_asfreq.py,sha256=xePH_inLJA_oRcyZE76QIkW6XEPmiT_v03okhH1snec,2313
pandas/tests/tslibs/test_fields.py,sha256=nX-fUHm4_d_XWPT3L8_QRac4QP2BqNwgOyUgqfbEFBM,1123
pandas/tests/internals/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/internals/test_internals.py,sha256=GZvWxKETnr-O7rRi20SrsB0zo53gtZXNEo9WPrfo-sE,41237
pandas/tests/extension/test_numpy.py,sha256=j88YUpa84sNm6Nc9gpqn-9V_W9e-N7xEmRfd7JQQQ24,16177
pandas/tests/extension/test_boolean.py,sha256=suQvH5LahQdRZJpWO4xvq2XaVCXQCTySC04k_nozfpE,14407
pandas/tests/extension/test_interval.py,sha256=R5hv2UapaT8wubiVro3UlWt9cgIn-XmjhnpuGhDZ-N4,4126
pandas/tests/extension/test_datetime.py,sha256=gHIzI1qp7Q820K4rvIa9p3RRouZIaProgSZmGN3pqwY,6668
pandas/tests/extension/conftest.py,sha256=TwP_uCKyUYqe673hefDUxRyDDti5Kh6iXOS51nTErJw,3785
pandas/tests/extension/test_floating.py,sha256=8med523C04sDYHUzDN6sYmDihc8TJnkTzQh_wohPEOw,5996
pandas/tests/extension/test_categorical.py,sha256=zH5PEy11txEtgaz5IxOuakYgA6JGNQNvJxxl2eEpg9E,9337
pandas/tests/extension/test_external_block.py,sha256=C_YOzEGMS4Z96-vzQE342Yv3xRQHXaJeFz4JwC6az88,791
pandas/tests/extension/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/extension/test_string.py,sha256=VL_4E9qPbk03Lb1EYl0vfPi4iz1Z4YRHXqzCkLNrPIo,3885
pandas/tests/extension/test_integer.py,sha256=GhWD6-cLIsT3Icumzrq4E490ajBFWHr9FfGSbnKzFnI,7289
pandas/tests/extension/test_period.py,sha256=8IlBcXXvTKsNfT2ZQUyrRmL0wAv-S65Ushpnb0DJE0A,4619
pandas/tests/extension/test_sparse.py,sha256=sGI7k5RcIrv6OBiyEKtVl8DnwKHPuPpNYKSqgqLNBBs,14529
pandas/tests/extension/test_common.py,sha256=X2dv8Vbo1vmkh8uKpKyAOaLMDZqTOgFLtz1N3EQttZk,2091
pandas/tests/extension/decimal/test_decimal.py,sha256=DeqDssqz743T5JbSUyUNGIS6G7YeRMUbB-kk799rmKs,16592
pandas/tests/extension/decimal/__init__.py,sha256=0FmFcmPOLYaQuKo2y872UA-3tYhtSJ1XQvdu0GJJQ0M,140
pandas/tests/extension/decimal/array.py,sha256=-khYHQonmNoDMGHeYMFgMYOMLwMYbaXMuAYOnh2ZOTs,7276
pandas/tests/extension/base/printing.py,sha256=yaso4LDPXYq1FWTgmnMEd0PJx0JZ9tZ0wvQZvREWZG4,1167
pandas/tests/extension/base/dtype.py,sha256=xLmLgM3-jJap2Sv20bKQbEjFxrrqe7YHgVwkOyY3pP8,4310
pandas/tests/extension/base/interface.py,sha256=ziX66EOmXhqFcZFTGEEEF2OUFj_8KYlLEgfkyPwAkYY,3932
pandas/tests/extension/base/ops.py,sha256=mwoAsUY3eXaGo9Qhi3iAsXrm-qnjjAga-Iw0XcQOqGE,6719
pandas/tests/extension/base/base.py,sha256=5SPn-G89qste22G5I6n0FARZNpiwJbMLkFbdfxEEFlc,742
pandas/tests/extension/base/getitem.py,sha256=N7YO6zVHK8tdcl6ILN7I37N6pPNB3TUD7tOEEU0QPGM,13100
pandas/tests/extension/base/io.py,sha256=O_d56AfwAE0YEkPNMTXNXdelYej2flUdjCWLSexX5Aw,602
pandas/tests/extension/base/missing.py,sha256=3tlEaKfuNYMMw9wF9-p_SqDwIHK9GfQ3uE6lPXBHhWI,4515
pandas/tests/extension/base/methods.py,sha256=NHQmzbG9n_qXqBLn6fmWI7JvbHLTig_SFol4xvPDUbs,18343
pandas/tests/extension/base/casting.py,sha256=U8xjCVUrXLS9MfgTGcYZcCSFL6OUVBtjScE62ipSVbU,2280
pandas/tests/extension/base/reshaping.py,sha256=40r2Tk0Pz_FFCvCt3-tK28OPJ-5BwqO14u1j85kRdK0,13249
pandas/tests/extension/base/setitem.py,sha256=x39MDLNztg_dLoqcYXZewnmFMKPgg69vZQ-xsXzXPlc,11422
pandas/tests/extension/base/groupby.py,sha256=3ovtI-yza9z_3k5s4tw_I9v2GISTp9BtPhJCryt7818,4033
pandas/tests/extension/base/__init__.py,sha256=v7CARJg13tbAIZgy1y65YvehR4XKLTAyzG9ZPg_GWWk,2162
pandas/tests/extension/base/constructors.py,sha256=FeCdrNsMJ89pI9WvVqLs5v_iFz1K1Wz7ULIr8A9I9TQ,4686
pandas/tests/extension/base/reduce.py,sha256=MzovNiXU0l2t87_wtd9vfVFDf1T-ls-ns4WLnMTN0Q8,1906
pandas/tests/extension/list/__init__.py,sha256=JCuru1OdLD07EwMYEzdgf_VZnhy8TRpbr92WKi3Ll2Y,102
pandas/tests/extension/list/test_list.py,sha256=WVIHHFZzOMxmR-9-SHD4VhWtnd1K_A2daplQBEKJorY,625
pandas/tests/extension/list/array.py,sha256=BsJbC2W28A0xplagTtTCKNey9iMHAoFyWRFZWybdLEE,3744
pandas/tests/extension/json/test_json.py,sha256=1S6K_aFLwU__CkSN40NVspJa_ziKZNGjQw5Mzsqw-2s,10854
pandas/tests/extension/json/__init__.py,sha256=xlEw4fnCd-FMBc-rq1Uan8yAHcAGeBz1rAYst06_kQY,102
pandas/tests/extension/json/array.py,sha256=4S2Nxmw8R77GlyCd_mhbRKeG-F6uNh21RpQ5nVe4Zyw,7051
pandas/tests/extension/arrow/arrays.py,sha256=cjdOOdU1ZLudeq6sUtt1Z_sizMt_b0y2BWOkUGgKrjc,5291
pandas/tests/extension/arrow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/extension/arrow/test_string.py,sha256=0pt4mJ8VyFmkBtZMe35R_bt18EtgY__CNU2dLLfZBxM,301
pandas/tests/extension/arrow/test_bool.py,sha256=PzPJNi6wptKg73ONAMoWIw274ED2gVArtWuVviuBn8A,2902
pandas/tests/tools/test_to_datetime.py,sha256=IfV6BxN-DD2YyLTS7BDc3S1dbmXtOFQ8BrTbvZaZn3Q,93371
pandas/tests/tools/test_to_time.py,sha256=-wkkraMac9JpiMJkoN8mSbCryUzp_xY9blKl9WQCp0I,2019
pandas/tests/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tools/test_to_numeric.py,sha256=-UUjUwKi7bgpy91T44VDvQeYpnEm_pjdEjP47VbZU4w,20578
pandas/tests/tools/test_to_timedelta.py,sha256=iUO39DofFaj-KkBrQK7ZPwwZMwxCxoehHDEQMGZInf8,8388
pandas/tests/util/test_assert_produces_warning.py,sha256=i0_Q3RIyfekTPzqantI_FSgugyYEs4LpxxOGts05ga4,5040
pandas/tests/util/test_assert_frame_equal.py,sha256=Ni5YRQwWTvYEA3HXekUvJ-ijV_jHMWGRZj51Q0wyZlE,10771
pandas/tests/util/test_numba.py,sha256=6eOVcokESth7h6yyeehVizx61FtwDdVbF8wV8j3t-Ic,308
pandas/tests/util/test_util.py,sha256=P3fQqMjLt1sL0jOKYj_nYIyeiP2PwDXIy4BPUrf_c6k,1982
pandas/tests/util/test_assert_interval_array_equal.py,sha256=ITqL0Z8AAy5D1knACPOHodI64AHxmNzxiG-i9FeU0b8,2158
pandas/tests/util/test_deprecate_nonkeyword_arguments.py,sha256=iE_lNxkFHyuuBf6wsxSwoePYrw9LE_ty3sBOY8mO-hM,2713
pandas/tests/util/test_assert_index_equal.py,sha256=SYUSSTSt8TGiRmNxcHKf-8C7leLv8rK6L4jNcXeqwts,6543
pandas/tests/util/conftest.py,sha256=loEbQsEtHtv-T4Umeq_UeV6R7s8SO01GHbW6gn8lvlo,476
pandas/tests/util/test_deprecate.py,sha256=oZXuNwUnS_hAcMWPgl9ErjGCZSs4beoaivnsOTQzIys,1626
pandas/tests/util/test_validate_kwargs.py,sha256=SfWa0wBgTLx8XcdFvWj8OhN3ll6Lt6KuXnZeGW3Qxdw,1742
pandas/tests/util/test_assert_almost_equal.py,sha256=13YLIY2yLTU39Cstt4Eyu_JJkqc0fo7UtShN0knzebM,12536
pandas/tests/util/test_deprecate_kwarg.py,sha256=7T2QkCxXUoJHhCxUjAH_5_hM-BHC6nPWG635LFY35lo,2043
pandas/tests/util/test_assert_extension_array_equal.py,sha256=6HhnzmEM3Z3JzIsmnatR-C8Z4eaPV3hngfRZd_k1ATU,3464
pandas/tests/util/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/util/test_validate_args_and_kwargs.py,sha256=OFROeLC6jsezEgz3SypUMUl5VHPQGgj49eZYsMOQ9-s,2391
pandas/tests/util/test_assert_numpy_array_equal.py,sha256=Fw7IEFDA70TBmaLb_YXbETSG6JdeEwRZZYH54T_b2JQ,6361
pandas/tests/util/test_assert_series_equal.py,sha256=lhgGoW2b07jL6cXBu3g5Yw8VzAIQ0XgHEVP6OemMiKM,9605
pandas/tests/util/test_assert_categorical_equal.py,sha256=l0eBVe0b0Vs0-Av22MqkSqHklSwFKnlNNezsQPZWvOE,2748
pandas/tests/util/test_safe_import.py,sha256=UxH90Ju9wyQ7Rs7SduRj3dkxroyehIwaWbBEz3ZzvEw,1020
pandas/tests/util/test_doc.py,sha256=u0fxCg4zZWhB4SkJYc2huQ0xv7sKKAt0OlpWldmhh_M,1492
pandas/tests/util/test_show_versions.py,sha256=MsjRjtI0WnCNSCSg_7dA4UZwhtOZiogyT5GxV0TiRHs,1241
pandas/tests/util/test_validate_args.py,sha256=ygRn_KXeO86BTvXnNDGWmnWsWygqoItKk7Ob1I2-9Wo,1842
pandas/tests/util/test_hashing.py,sha256=V73xWNPOG3zoASuO-UsYtvhNpLob8TARB72fRVta1Y4,11014
pandas/core/api.py,sha256=p3owLWRNuMidkqQtvY_o_GQoHRflKREi_xvY19xJYXE,1830
pandas/core/aggregation.py,sha256=miazi6tHEItojPSmYu55Ep60whNmJHGOOx6u0IsCxEs,24970
pandas/core/frame.py,sha256=c9MBrLiKP4d61iXn7atmezQEOmpwJJOBC8_DHvcX2fw,326112
pandas/core/config_init.py,sha256=lNqrwYPQOnfTC-tPRgO_BRiPtUbt-POQVzsfRcM-FLo,20106
pandas/core/series.py,sha256=3-eWYckOURu_eCt5ALt__h21AOYqmZIdVXblz9rioyg,153610
pandas/core/construction.py,sha256=681Kmash2TKqtTXiXTUlkrngLuuYHMaV5_gAghr7dZE,22216
pandas/core/generic.py,sha256=dJNiDmvoY3Y_NZ8To_rgLAAlxSYvNG7RBAkdcLycf-w,403695
pandas/core/nanops.py,sha256=m6Oj3TzSnKln4VTOZuAzCDzICWhIMwH49dE7cUGRV-Q,49311
pandas/core/sorting.py,sha256=GFJRi3E7x03S50MfmD_1NO8ugckPwTOUbx24pR4lWcg,19606
pandas/core/common.py,sha256=TaSAWCaDrTA2J_m3QOeIgKJEkjDsD5Rug4IO6kqh3xk,13614
pandas/core/accessor.py,sha256=v26naW0AGTEgh3VDB1IXRJWdNwe02DisYMx8a4vFvjw,8626
pandas/core/base.py,sha256=jidjpg44_eGt-BWLyRbBQ3S5nwy5JkcKPmN08mu7jTA,41475
pandas/core/indexing.py,sha256=J2HOca-LejQ7nnGl0vcaak6r5rU8F-mQiN4HQZe2Alg,80731
pandas/core/index.py,sha256=mufKydxdzpq0T-9ZqZpviigz6_Nc_2us08ul0U5wEWY,665
pandas/core/arraylike.py,sha256=PYyIqeOu7KcNenUeefS3c-d3Za0s7CpxXlFCA2rBedM,13782
pandas/core/missing.py,sha256=tHld1cVHSLoCZ-ohNF8O4EbaOO8UU85Ipg9pZ2el9gc,24510
pandas/core/resample.py,sha256=rToXML26Zbj8GxRw2LZ01hu9owymKxClN6jKTCRt7as,63164
pandas/core/shared_docs.py,sha256=ImsQ9coOmAOT3m0_mk8osRtWR9vMoguBAdKpRD3MaUc,10730
pandas/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/algorithms.py,sha256=nf04WEY527DM852RVoD6STUn2fKq_rUpLPfuFgIzujk,71470
pandas/core/flags.py,sha256=sQKSGjw1SIkuwO5ptiQzT0aavRJmZv1PaVw8MPrZ-NA,3567
pandas/core/apply.py,sha256=_VXVIAaBNBDeoDtIS60cmO9X1HQZreZUMk-4FAcHJBI,13469
pandas/core/indexers.py,sha256=Vf8NbuT3yyi8TiQI7kYQRncFOvDt0uNhbhUpsQHMakk,14281
pandas/core/window/numba_.py,sha256=_HtCdt_iuEBDgQ3K8Jaab79veSmOlRWYbuodwrZ0nnQ,4809
pandas/core/window/ewm.py,sha256=J3UxZUufIhbxMHaJANoaW3XR_bXSHkdH89wMQfzqbUI,19354
pandas/core/window/common.py,sha256=tyiGmBg0N0W3fKTMp122mFlur8O6MGz6QDEl7IpNIVg,7052
pandas/core/window/expanding.py,sha256=HHELlTi_yaYH1LzUgmout1GvQ7pcZw7TaiRtXKoHt0Q,8393
pandas/core/window/__init__.py,sha256=wmIH3975rmB-XleS0JqJHR5dTchnk0hnIh1luO_CkjM,283
pandas/core/window/rolling.py,sha256=cxc_Q2mZKWHt0EreBXMSptQTuw8qU1Wjy5qXUbL6ET0,67481
pandas/core/window/indexers.py,sha256=_dGXpApvoUzJRWYQ0KmcDysXOAN_Zc2Pma6447aMMv8,11553
pandas/core/indexes/api.py,sha256=Fit9pYYZs2NJD2RP9I98IqFfR_1KJpxlZvZyDS9WucY,7469
pandas/core/indexes/category.py,sha256=vQ67dRQYB0f2yVodAjASWZCamgbGQw6KU5KlJ_vlgAs,22857
pandas/core/indexes/frozen.py,sha256=fDq5HfmcUAK_OPmXlRqx_rb_MF0HQ2PgSNX6RPSe22w,3078
pandas/core/indexes/range.py,sha256=aUXSKLSe_WE9z8WcQVNNmMwNAQR6KpWPDBfy74L2HOA,29648
pandas/core/indexes/interval.py,sha256=mK3ehLqoGbP_7mSsqIn6dFUVMHhOgzZcZHDTUCD30P0,43674
pandas/core/indexes/timedeltas.py,sha256=t1AUVoXbhwZktbcOXjNSVOqb0AIx3R23VkB5T27i2-g,9840
pandas/core/indexes/base.py,sha256=98FWYMh3vVlIzYKWcOHMtp3mkNux2vFiqQcSRMEYgeU,199767
pandas/core/indexes/accessors.py,sha256=FSrzVddVydP0fH1uAtBU0ycoTkxgv_kRui8vRG9I3L8,14519
pandas/core/indexes/extension.py,sha256=CC-3yfwCRqLwQ2_e94SXk6e_3opO4XTArlZko-bb4Uc,12483
pandas/core/indexes/period.py,sha256=LJeeHbiG5DIaKv0Cgu8kQqQw_Z0F7nxU3IKgZZOokqY,25613
pandas/core/indexes/multi.py,sha256=QBqp4t7G7Cloe5NWuNZjVkxG-xsGZZN9_0tVr9d6nNs,133250
pandas/core/indexes/datetimelike.py,sha256=rA2qdppzJuIjTAF8rXhMXOssK4dc27v82nMUeRNl_Es,30263
pandas/core/indexes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/indexes/datetimes.py,sha256=zHouJbbQ2t32G4rdpf60JAf9Qzw5jF_OodpgLzNfbnA,40191
pandas/core/indexes/numeric.py,sha256=y-QidjHnZtfUi6gF88fX0o2lQNVrbCbmjV9sXrRKqaQ,13271
pandas/core/dtypes/api.py,sha256=n2yY_gwcSayI-sfINVeGw2y3eJu3Rk2BDzs6Q_0YtAo,911
pandas/core/dtypes/generic.py,sha256=g_42hrcln6l00nAuPwgi2fXV8KUO-0GcY_8T-4INFdE,3612
pandas/core/dtypes/dtypes.py,sha256=Q-SNRVya8Lx5IWqQja29SmBg_8XMvGhQ6lEZRc3Nc40,38003
pandas/core/dtypes/common.py,sha256=OFWaOr1k0JDCZ89Lw4N-Br12umP1gZzVEhitpzol0es,47617
pandas/core/dtypes/base.py,sha256=ZcJOFwPUz4yAYriHiJR0ozQQ7Yv3NgLwSNEYFrSHt2A,13190
pandas/core/dtypes/missing.py,sha256=Zea9eybKhdXhl8CKu7aSxnlwNX13GZ2htaNSIhzPBg4,18366
pandas/core/dtypes/cast.py,sha256=Kh_YSAucscoBiJEWZQQywc7hlZNqhQQfSvSnCJbIgGU,56014
pandas/core/dtypes/inference.py,sha256=n2L3B1WCl0wN1XxZO4dXXQF_AjizFqy1wqerPHWP1JQ,8609
pandas/core/dtypes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/dtypes/concat.py,sha256=Lw1td6K7nVE736GU7fLXzXPxO0keey7_Pr_DV4wT1pA,13211
pandas/core/sparse/api.py,sha256=g4O6jA1PpcOWOFCAeR8SELO2CGaZVKjIAN6sqvA-KUw,105
pandas/core/sparse/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/computation/api.py,sha256=Q_hRn-f6r45ph3AJqKmXlodzOufxNc9masH1q-DbSjE,62
pandas/core/computation/parsing.py,sha256=entRfUox4YTdBiRayB-ZhYJflIENtf7jhUyebiYjt40,6398
pandas/core/computation/expr.py,sha256=SaKkmL4rUuEARq-YJFNlsPiVjyoFEEr7mpc6EBCu7Vg,24575
pandas/core/computation/engines.py,sha256=icasg95xoxq0MR236hnGhkfj0B_NpEoPOF-0iiyhG5I,3180
pandas/core/computation/ops.py,sha256=hoiUd-S2tu41pJb8D7hMzhGdHnwznaQtsL56U5YuB1M,16454
pandas/core/computation/common.py,sha256=GNcuMW5apCe9ZJARp8NmALg-2p6ZX7CovyuZt5sHMTo,632
pandas/core/computation/check.py,sha256=jCEHgYQ8V2bZijbUeaKzzlyZILSeLgK9IbfMbVdjv9k,329
pandas/core/computation/scope.py,sha256=O74rxMMlr2Ltesly3ZWHMqBPyYzgwbr3m99GltVlOis,10722
pandas/core/computation/expressions.py,sha256=M6skMkH2jgj8gks22Wel2Ufbn0VNf-4Ohbkjf9F4IAI,7337
pandas/core/computation/align.py,sha256=yMeg_bTBLHQ_m6TJH7RDpnF97zWylrwlq5qgkAKSeuY,5999
pandas/core/computation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/computation/eval.py,sha256=lNGyW57VmCk0sLsCIhRkikCjE15W6qJDY51zKyplfJs,13172
pandas/core/computation/pytables.py,sha256=XOkoBnIKwF9UV5ncu241955o0reDLjQ2R5kq2uB_n0M,19569
pandas/core/reshape/api.py,sha256=pRwwOuS6LNFLQOEFVrVKgvJk2ZrjIPf14ZHmnrN_7vA,365
pandas/core/reshape/tile.py,sha256=4kAV2L4lbmVagbgT5cQfLaAv3M7Y4fV1u1TSYwswt14,20930
pandas/core/reshape/util.py,sha256=Gik84iHEE2Gz7G0hWcbBFCCu466NpFMO-Brcsx6Ilyk,1662
pandas/core/reshape/merge.py,sha256=UliPUObg2_iGtr6wqBwY5dnLEZiPcZzaDiJiZaOUqGo,76890
pandas/core/reshape/reshape.py,sha256=BVzbn3w-d2MuWzcGXpkzmzpInTAxAORUduo3OIRYA0s,34913
pandas/core/reshape/pivot.py,sha256=XyH3MEV_W7r05jJfEymsHf4zh5hyrd6RoObKx2Y8iNo,25283
pandas/core/reshape/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/reshape/melt.py,sha256=fjqzzZ1pnnyD6Gh9Q_A1huXTn5xOubQ5DWTJhNc9FnQ,17922
pandas/core/reshape/concat.py,sha256=Cw_jYQKzcZd_Xbe0vz18QxaNyZV9myx7zrLQH3-KKcs,22724
pandas/core/arrays/_mixins.py,sha256=_0C7zEQNkkyukY4TeHIuFBtpMV6nJa_GLe2F4YbA00E,11032
pandas/core/arrays/boolean.py,sha256=_c47IRfs5mpJ6pVegOfPe0dAn4t62arpy_TBgN9tbJk,23082
pandas/core/arrays/interval.py,sha256=hpQzeN0niTlF0-l3QLzwve6NX0nH2hltZ_4iwfig_-M,48625
pandas/core/arrays/_arrow_utils.py,sha256=Z0FmVhX2re9zEB7Il-lL-gH2KRB8SGvkZ4yTKAEe-yU,4447
pandas/core/arrays/timedeltas.py,sha256=C3SXFT6NvmH3rpyQlMo7ZIGUphZZTWtUJM5K-KfqlbM,36176
pandas/core/arrays/base.py,sha256=Pc1KkzIKdXTfc4R7O4kPhwNNy-wzF8q21tyxpKrSXFQ,47674
pandas/core/arrays/string_.py,sha256=d6-m1H6afk7Iefla9BVZb51xzKgyQNZrALL5JWle53k,13343
pandas/core/arrays/string_arrow.py,sha256=Dto5xOmkbEarpSDqFO3bf4ggx52BctnsMlNAwAKrkfM,20110
pandas/core/arrays/integer.py,sha256=WwK6TrO0X7E7hVCtm0f0oBp6YG7DTg4ClsNGyunldao,19938
pandas/core/arrays/masked.py,sha256=VoDfjkKRabd1Z3IRFUVzEZg0v1RRYf_JT-3YDqvh6kU,12091
pandas/core/arrays/period.py,sha256=YenjtmuV68Z2JsoyNLPkFRmKVHOA0rGY9BRcCDBorj0,33248
pandas/core/arrays/floating.py,sha256=euWOwAWOK02l4yWQftvK86dBJ0S7yLN8y0yn-8rcHYY,16228
pandas/core/arrays/datetimelike.py,sha256=gQAujAqqJkz9DrQC2HGLyvcd9PFgcvYa-IoSrrU79iI,61382
pandas/core/arrays/_ranges.py,sha256=psF60KSj4_qQ4sFNL0H8F2b62YBO4uKostTUDzIstjE,6027
pandas/core/arrays/__init__.py,sha256=r8-e9RpHHe-J7Lv7j1-AEVlnPfQkSFGANd3X17C6xsg,1184
pandas/core/arrays/numpy_.py,sha256=LqGiADdOtgCvlRTmqb_jtLqOhQl6VYlaImd913m3GtQ,14388
pandas/core/arrays/datetimes.py,sha256=3Tmyf3yX1ofNjSNwc21H-QIjRKKRPyUwO-r5iwkv6Ao,79761
pandas/core/arrays/categorical.py,sha256=tEG1HQ4sbl4yR0MI5dcvZlVl0y26_EuP6PLKZHNLoXw,88255
pandas/core/arrays/numeric.py,sha256=AF5W2_0dRx4McRdI_izi21OJEz9bspu7SqODT0wX7JM,2993
pandas/core/arrays/sparse/dtype.py,sha256=MrNC5XDBEhiVhMsFfoj_2IzRWkl7VrdcGDwlAVpbs1c,12150
pandas/core/arrays/sparse/scipy_sparse.py,sha256=lCUeF6cEJVEzc3yndw0XKTbjctUJtBCGj__0j94s6Qk,5379
pandas/core/arrays/sparse/accessor.py,sha256=oA0DD8SdVczqxoPjRkqEFK7egba-NB361UyfugxWPFY,11443
pandas/core/arrays/sparse/__init__.py,sha256=x9InYBC-nZbghUIJg4s2m0ty1cyum3EtQpzRE0pE2Kw,279
pandas/core/arrays/sparse/array.py,sha256=nHyXvtzxGP40g-F7FKb4J981mapLx7rzb7K8r24xp94,49795
pandas/core/ops/mask_ops.py,sha256=WqezxdvCmKEXHIWihblKYsKyGWjqx1YcCb9vkPTNlWM,4935
pandas/core/ops/roperator.py,sha256=F8ULcax62DJD-0JEax2vBsIGf5vBLvuKhDjQR244AUc,1080
pandas/core/ops/docstrings.py,sha256=sWRq-KuecXx7Jaewr7lXJCWb7aYo711Du40DjwWL_eU,17706
pandas/core/ops/common.py,sha256=AXrcNVh_ZpkZRzt4oHc9rZndE1H4ikKsloZkgHICjWc,2935
pandas/core/ops/dispatch.py,sha256=G2SEvrbKI5iIg0sPBCOxk4s3c-kVBZ7jDlAyL-jHEFI,549
pandas/core/ops/missing.py,sha256=Me34ivzzDtFS96yd1paLXl6AQ1c_1iOfiU5mpHtcsxI,5164
pandas/core/ops/methods.py,sha256=4MweMQ5wsPUcxFqK5fi1WbvITmLmk3ZD2XNEnMDzD5M,3690
pandas/core/ops/__init__.py,sha256=VguRwY31VDapp9QIw5cASZhT8ufJO0DAUXPOh7y2i6s,13971
pandas/core/ops/invalid.py,sha256=sUm_2E_QJhW9kiDWlvcDQjM2U8OdUgPEj2Dv2iQE8aM,1285
pandas/core/ops/array_ops.py,sha256=xDHMGMuHll47KrJG89cXcR4on12jHHq1a2-U7VNWh7Q,14795
pandas/core/groupby/numba_.py,sha256=fErZ5oK82bAObHK5nLwSC1ZpEBPVr0IW2E6Eu6iOCvQ,5213
pandas/core/groupby/generic.py,sha256=Q_WDHlui9e_LlavG_k-N-IaE9BZCfnU22nG6Jcij1Qo,64787
pandas/core/groupby/ops.py,sha256=En_DnmzphpnqCtT3mZHM0Xzhfce2As1SpkDN5TjaYQg,34002
pandas/core/groupby/base.py,sha256=5pKIOj5XzQxx1-bOKW-prSOsKGVJ5Ff0QpHmfqOeRB4,6085
pandas/core/groupby/groupby.py,sha256=dJcH6NBdyCOXqTehMhC39-Acnp-OclHNu0RaicdJeA8,98710
pandas/core/groupby/__init__.py,sha256=xZmPcq3GTA59FrudjUQ2e03mvF4jdow1KqIJQ57dXOQ,284
pandas/core/groupby/grouper.py,sha256=CO_oJwjNXj1-GhyvmPuvzp-OfHYW-HADTYA_TB-G7So,30429
pandas/core/groupby/categorical.py,sha256=i9NI7NbCEjQT75ocRFQT_B4sqxSrkj6GpKjfHtjGPz0,3587
pandas/core/strings/accessor.py,sha256=skCQYSCFhIR_Ob46cO-utEnGypvlY9htIsl5J3iro_M,100302
pandas/core/strings/base.py,sha256=PTCix5jU4cFvLDniS49ToGyRc0JuCNG-9LJLKBmIPHg,4702
pandas/core/strings/object_array.py,sha256=IKYBP_JDCYP8yqomfRXgrsR-GKMmWNAwh9fr2E86fiw,13921
pandas/core/strings/__init__.py,sha256=Z4NJaPl5H21aPinpUUy6oo7MynXg9Yq7QeR5Hdia360,1187
pandas/core/internals/blocks.py,sha256=EHIbb7lP95DBT7BZgyCNfcLx_L7kvtbdVVG9V7AYdG4,94732
pandas/core/internals/construction.py,sha256=5yvnj_Wc_m6eoKI-OX-AqfBlfTT2AIe6pEWSVz-nqMk,24036
pandas/core/internals/ops.py,sha256=0D2sHmCcih802J_YfjIvbFSM1h0DOyMDAYKu53dsvxo,4427
pandas/core/internals/managers.py,sha256=LDsvKdmVHckCKrECa9sChaNrlbR9he2tpOUW1AHegfw,62979
pandas/core/internals/__init__.py,sha256=MhXTDdNOFR4FJTc3u-BYKl_9yeE8bqc7Sf5qNBKjIsk,1035
pandas/core/internals/concat.py,sha256=UWw4hYmEdsAQwd38GDGjRF1rMMOhtWOddaSO2oYtq1k,20709
pandas/core/array_algos/masked_reductions.py,sha256=xHp7mmyErFYH_v9JFiak87_TUvQTqW9-RABBAsgqZI4,3032
pandas/core/array_algos/transforms.py,sha256=CySKHJbIBraqWiD-Mzs36rzDXumwxn0rllLErR0O2UU,959
pandas/core/array_algos/__init__.py,sha256=8YLlO6TysEPxltfbNKdG9MlVXeDLfTIGNo2nUR-Zwl0,408
pandas/core/array_algos/replace.py,sha256=Ps890DAffefdpfW33V76xDQgQ0KmjK0IzFLr8ltHE2w,3686
pandas/core/tools/timedeltas.py,sha256=yTCGx6BNQyHYPJNnDf2k5uQfMQfXAj1ClinlYxgu7O0,6348
pandas/core/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/tools/datetimes.py,sha256=12Of5Y2QkTwzXw7Dn1ENr1giIIfd1iMvAoMX2GWJKF0,32551
pandas/core/tools/times.py,sha256=ZVXatwM60JiqYi-0YIykdgGZAY8VczJ543Kj7qvA8mI,4611
pandas/core/tools/numeric.py,sha256=9gQTAO02rLYuLKpW3w72H3V_XCfnXlUakLwm4MVi4pU,6786
pandas/core/util/hashing.py,sha256=vCijE6n-8-5UWrON5XR_rPAuowgEGmz5iPnxI5pZiRs,8983
pandas/core/util/numba_.py,sha256=pGhSypExTFJfTOuIvYBD0IW3gPeH2QexGupKYJX2WpQ,3088
pandas/core/util/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/api/__init__.py,sha256=o_GBSB3OnMEmoldMWjubsJotWfgTl0v5gD-X3CXG_LY,86
pandas/api/types/__init__.py,sha256=d6jVFKCNtSuNLsI2vR-INIeutY4jUskjPD80WK2DVh4,453
pandas/api/extensions/__init__.py,sha256=ygXHDnNAL6S4RcAWoWYHCaZ9oawHcsQcLkESHzX7UCg,659
pandas/api/indexers/__init__.py,sha256=pEEBwFqQLMscMAzgOSEhGZ70fLyd6-b6OGRx5oEKIG4,356
pandas/plotting/_misc.py,sha256=aXB7QDekPR3Jrt0_TsI-3Nnf6x3jUqu6hjzx9PtLAHw,15959
pandas/plotting/__init__.py,sha256=W_2wP9v02mNCK4lV5ekG1iJHYSF8dD1NbByJiNq3g8I,2826
pandas/plotting/_core.py,sha256=CdH3pDPelCEs-xCu4sV7J5-_W9BA9zsJlyMBwPNBY98,61416
pandas/plotting/_matplotlib/style.py,sha256=EUTFfgi-WDgVgaKksH7YWOG0iN47nPglyAJVkjD5-4c,8132
pandas/plotting/_matplotlib/tools.py,sha256=lqot2TmyFjf4rL-xJi1jT8A4V0gjSJw6DiT3W0cB-7k,14569
pandas/plotting/_matplotlib/boxplot.py,sha256=et0xJn0BZ-oCi23KbKH30TjY8y6ArYdeytsH6-wxpTQ,14600
pandas/plotting/_matplotlib/core.py,sha256=l6wI5DUtY4zBk5m_H3qL7IwqIqMcIYzLH8nGKMQer9w,54107
pandas/plotting/_matplotlib/converter.py,sha256=eBf3WE4RsA0ARHyDv7aaqMjy5R8ceajQrBZa8dS2DSA,35530
pandas/plotting/_matplotlib/__init__.py,sha256=zF6Tb0T2Wo4ZwKxDSMXkYhrXG5dipe3F4lRNKx1EYL0,1988
pandas/plotting/_matplotlib/timeseries.py,sha256=HE6QWwpQa4jnqSYyi1OKQ7PNQj_wULbd4WRq9dxbGsc,10037
pandas/plotting/_matplotlib/misc.py,sha256=sdETpyKsbae1jNnyM936L86JFz7fpQZumE65uAs6P0o,13094
pandas/plotting/_matplotlib/hist.py,sha256=b0QqlInp6ArI8GL2XJRmyd8qqxppopeb2zYA1GYQKfY,11993
pandas/plotting/_matplotlib/compat.py,sha256=MC1UWqKiGMMQDT-OZ3p-wK6EJgoQkUDk7cVjStLNNNo,701
pandas/_libs/testing.cpython-37m-x86_64-linux-gnu.so,sha256=KQw700yNINioyoNPBOpUPQgOCVFFa3tNjsQSn0dhm8c,85944
pandas/_libs/groupby.cpython-37m-x86_64-linux-gnu.so,sha256=FC4B1GtRoGDEgO5yUWr5heCJPtqkkykGTO_Dw6YPZNc,1042144
pandas/_libs/parsers.cpython-37m-x86_64-linux-gnu.so,sha256=-3EwiJa7uHzmPSR4Vay9aLthV2tw3drPY8vdXNdAWSw,505696
pandas/_libs/reduction.cpython-37m-x86_64-linux-gnu.so,sha256=iu7ydgw6ryr0JDqH4FkTOOy3BA_HDP10SMvzsF_Wq9o,306528
pandas/_libs/interval.cpython-37m-x86_64-linux-gnu.so,sha256=uuk0eb0Fbb1vhexkMgvvmxKa9uySdDiG941eLaOgetI,1143136
pandas/_libs/reshape.cpython-37m-x86_64-linux-gnu.so,sha256=RILBpNP8MnDnfPn-xDOuje7a0XcRwIueUvepBDtLcoY,243456
pandas/_libs/hashing.cpython-37m-x86_64-linux-gnu.so,sha256=NBV0gV9WJB_8Fsf7FUtDuKVuMy244bPfpSRZd7fwIY4,174272
pandas/_libs/indexing.cpython-37m-x86_64-linux-gnu.so,sha256=Qjojs4bgbknzEozUDs_kz7tMoj1ms2n94w2GfCUa2zg,39032
pandas/_libs/writers.cpython-37m-x86_64-linux-gnu.so,sha256=NHIh4epNMiGfGLUUY-blfNOXk2oSlH1eGj61fgZZDqg,209760
pandas/_libs/index.cpython-37m-x86_64-linux-gnu.so,sha256=nkZ1r2XlGJgxvH6jN6zlCerbkMrlBJkJGe1groE70DI,567648
pandas/_libs/internals.cpython-37m-x86_64-linux-gnu.so,sha256=m6iKZL1A2qXV9hP8xS_0BhoMH6JC-4O_wfbbCgiyj9U,252096
pandas/_libs/hashtable.cpython-37m-x86_64-linux-gnu.so,sha256=nWc1E6XPnxCg9z0o_rwvCeaWZEwn_UoW3lGdPwInxaY,1086912
pandas/_libs/json.cpython-37m-x86_64-linux-gnu.so,sha256=Gzn0dSTy3Y_l5QSsvDvlnSAY5dooucjkeZGE6eis0FE,86888
pandas/_libs/ops.cpython-37m-x86_64-linux-gnu.so,sha256=afCX-OvAIKzD7ArW5LUxjgCWp5zCMwSiL3KPt-cIEsE,216192
pandas/_libs/algos.cpython-37m-x86_64-linux-gnu.so,sha256=9H2wPapGROhy6MHgYwBas-Aloaccoyk80eo-NawsZrA,1450016
pandas/_libs/ops_dispatch.cpython-37m-x86_64-linux-gnu.so,sha256=SH2JEczSzHOrkTLvbXyTbBPjoE2-dyOEh_FlGH3o8jY,53504
pandas/_libs/__init__.py,sha256=EadclD1M9bLo-Ae6EHyb_k80U8meOTYbT7sdJv4tFjc,323
pandas/_libs/sparse.cpython-37m-x86_64-linux-gnu.so,sha256=eH_tlpoQcYSIp4K1qwTT8yuGYHVZepWsP6jmn88tdNo,842400
pandas/_libs/properties.cpython-37m-x86_64-linux-gnu.so,sha256=8Z1thiUN7htNhFFpxRqM7CqbC3Eh0IfrIIlA8DMwK3I,56088
pandas/_libs/lib.cpython-37m-x86_64-linux-gnu.so,sha256=juRq469Yz8HpkkYsXo6EwwLZVyvefDaXY7fBKPS6ZwI,569408
pandas/_libs/tslib.cpython-37m-x86_64-linux-gnu.so,sha256=bGpLu4U4O3EE39ahL94XjenhS1cfvyNoDnCcL4psaAk,177920
pandas/_libs/join.cpython-37m-x86_64-linux-gnu.so,sha256=ekfd8ZWrdJhz7HChguziCkxcEwvmE-ZDxX2cXe3ukQo,2376704
pandas/_libs/missing.cpython-37m-x86_64-linux-gnu.so,sha256=3lHg84VDYDOoz3wRhhf2Blpv0nXZ-e9KDW4Ob1nR4Kw,178528
pandas/_libs/window/aggregations.cpython-37m-x86_64-linux-gnu.so,sha256=KmijIE0Izf1bTPB9aXW1AipshO4y7C4077L5wj86-64,338232
pandas/_libs/window/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/_libs/window/indexers.cpython-37m-x86_64-linux-gnu.so,sha256=faGpCXlrTsYwcC4JkWMq3YsfNMKOWxshTEvfCnLBEIQ,168896
pandas/_libs/tslibs/fields.cpython-37m-x86_64-linux-gnu.so,sha256=vSqRMD8XcJ4YHSq_hJQ2Sf_PpMQjtF3Pc0U31ip5NR0,260480
pandas/_libs/tslibs/dtypes.cpython-37m-x86_64-linux-gnu.so,sha256=XC6fjdQKqvowDnTky7WnldlNesCVgwxqjrNRIdRYlJI,106712
pandas/_libs/tslibs/ccalendar.cpython-37m-x86_64-linux-gnu.so,sha256=8-XbbyuNqKDUD6QX16ZJ0Fuavy0jL3qDCmLzy8YM5XM,54904
pandas/_libs/tslibs/base.cpython-37m-x86_64-linux-gnu.so,sha256=zNLRy_S4BmGjszc-ij7kXdGt8Z1umBQSySkfKWeLVPo,38040
pandas/_libs/tslibs/timezones.cpython-37m-x86_64-linux-gnu.so,sha256=RN1hMEQuoSYJoR1nEdiHXs0OnF4tZxjcZwao_Ie4mR4,237728
pandas/_libs/tslibs/tzconversion.cpython-37m-x86_64-linux-gnu.so,sha256=SD-b7uD5MDQnKXxIKcenfe9egIgljl7LwlaDTHzLAAM,309376
pandas/_libs/tslibs/nattype.cpython-37m-x86_64-linux-gnu.so,sha256=u4S8F9EpWn3C_Dj5OsYzimyusum_sDWiPRf0k3tV9qs,185464
pandas/_libs/tslibs/conversion.cpython-37m-x86_64-linux-gnu.so,sha256=k4nmLbMLLIap0IfjYsloI5S0Q6VnRJD1QqiUQq6DMVM,285600
pandas/_libs/tslibs/vectorized.cpython-37m-x86_64-linux-gnu.so,sha256=cV37ytNWpaZWnmV7FDUjXaWR1WD1EQVmwAlYsXh08KA,222816
pandas/_libs/tslibs/strptime.cpython-37m-x86_64-linux-gnu.so,sha256=GlhmSJhc06MY220ZPZtRkr9263HVZU4MWY7y99NgFYA,401184
pandas/_libs/tslibs/period.cpython-37m-x86_64-linux-gnu.so,sha256=papiIGy5qH7v36bmvxb136SYNwNRReKm1OBfJXrYMFk,430528
pandas/_libs/tslibs/parsing.cpython-37m-x86_64-linux-gnu.so,sha256=DKu4T7O3JRyZA7o2EsBaA7NE2zZMSunFS1ttsOkGIkw,424992
pandas/_libs/tslibs/np_datetime.cpython-37m-x86_64-linux-gnu.so,sha256=HL87wK9zEznQV8I-eOH4KC3nxvC8B33lNl1KGy2dTqw,49960
pandas/_libs/tslibs/timedeltas.cpython-37m-x86_64-linux-gnu.so,sha256=yx99H2lsMv_8_bpMC7bPSPjukXUQS1vT9QcOpit_cAI,447552
pandas/_libs/tslibs/__init__.py,sha256=zwVZI8VNvlpkOV7m4rENCuGMn7KOKVP963MTGUCPILg,1224
pandas/_libs/tslibs/offsets.cpython-37m-x86_64-linux-gnu.so,sha256=YtYBNv_93ix5v1LEDubKSjra1SSAeEuKT53R_9WhEfo,1007552
pandas/_libs/tslibs/timestamps.cpython-37m-x86_64-linux-gnu.so,sha256=kDSfkSHufjiWddLuPCU4YzpD4VJU08Vzg-XXokK_RFI,455200
pandas/io/api.py,sha256=pvcFoUIpJ3vb-eyIKxX6YyfxyZGrFT4Jrkyj7TSneDk,726
pandas/io/html.py,sha256=JFrTp2Dvhu-Deyox73KzH5Y2J3klAvWyVPGeWo9Xp7c,34621
pandas/io/feather_format.py,sha256=3V7GoD-crbAJ21b9NCjwCBEC5NYT-R25KeSalPKXKJ4,3807
pandas/io/date_converters.py,sha256=Qa_A15x0Wb5ENtq6Ylg68-k0oOa3Gqs56DJTN-AS0pY,3560
pandas/io/clipboards.py,sha256=Q6QJ-FOiPEks2e7gI6ydMUI0VZsGsW-NPpUrztF0aZo,4337
pandas/io/common.py,sha256=Gvj4l4u1Xhr_hyRZI8HmjyqdjdsLxibZXywSbNJ9Aqs,28202
pandas/io/parquet.py,sha256=sGsVEdDgMCnS5Sw8dG5F90YaqNeiS6IJDe1KMX1rwMg,16101
pandas/io/pickle.py,sha256=qjaUDoKzEiUDuNAviBVc8omjnd1nFWsmEY8scf5X8Wc,7075
pandas/io/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/io/sql.py,sha256=ef5czHB7PCucja3aK6XR6hppuXLNUtT5CX6yhbrqc9A,64131
pandas/io/orc.py,sha256=46AD1FGmKwHigbzrLC1wmAh66VVxJ0xsj7xEC6PvMEY,1646
pandas/io/gbq.py,sha256=rI3xatdaIuLv9g9ET4wLIgjJA8WqAhE9aT0EE9fX46g,8183
pandas/io/parsers.py,sha256=nQj982Cc_xFXZWwCTK5rtRE1ypfq9pg1LpIL8bLFHtw,139841
pandas/io/pytables.py,sha256=lkgZM82eJKSwUa5ApZ-B8FpNUVkHyeXQ2xXnrhpCJnE,167155
pandas/io/stata.py,sha256=Sxcznbzvu5c4NEkJHBYHOy_M448rOmxFpzoN7VsU1t0,125610
pandas/io/spss.py,sha256=nhjPjrd4ta8v_tcBmUrCaPEacyRIdoGVVD5uQhk8CiA,1255
pandas/io/clipboard/__init__.py,sha256=LJyEQ_JWRICKXV4fSbbRH9ct9DNn8n_LH2R8nN5WETc,21526
pandas/io/formats/console.py,sha256=sZCCnhg1XXCrdesweQN5yvhlk9zkqnsJndDuhZ_w2ps,2784
pandas/io/formats/style.py,sha256=UgEhekhQ5GIhxK6yQorXBFIo5WkKUtfaqASB9f3bWJQ,57222
pandas/io/formats/_color_data.py,sha256=nZOC4hv88N33FbfZBUfd_-Chd59Fxxw7xkPujdZFOu0,4296
pandas/io/formats/printing.py,sha256=pGf33TJmsbSZegctXxuYIGZhKP9WPDtPLx7YnDy6Ty0,17127
pandas/io/formats/latex.py,sha256=bQ2es3h_zjMNnTRiud2KYuLtFWGo0IxZdtC70uvfBWw,25201
pandas/io/formats/html.py,sha256=xNEpOP99TdE3Qrjj8vTfXxykUgV7DAbcBUIrFxDeA7s,23192
pandas/io/formats/format.py,sha256=7FZh2dAhiANZIa-urCetE2o4tpwMVje8xI8gGNx7qFs,65927
pandas/io/formats/string.py,sha256=nr9To1-7ajRFdd5mDNbJgFV3Gt7plGyTJu6pOJJ7UOg,6627
pandas/io/formats/info.py,sha256=-lG9osuvJy7A9eNHhAoOQExlsHzbinpYDVX8SVCc2bo,20630
pandas/io/formats/css.py,sha256=yTbRGb3vLCK7YfQbnQy275J0Kr_iy8WYCEiVv-9PCbs,8810
pandas/io/formats/excel.py,sha256=_BwA_5FBuxQqB2B8l9hGBTTQDw1uX8h9kzgfc3PuwZg,29103
pandas/io/formats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/io/formats/csvs.py,sha256=pjuRqnKLTBKTaS7FjDkmNFi-fjlMBH2NE1pv7pCDhLo,9942
pandas/io/formats/templates/html.tpl,sha256=3RJIj2ZMLa_v6dGDMHWPp_q2SYJhu0JuxFEB66JQ23Q,2126
pandas/io/excel/_xlwt.py,sha256=YFthUF8PYUFnv-uZEH3UgWkq4tWaSrUP0QystnFfRdk,4791
pandas/io/excel/_xlrd.py,sha256=UYf6H0yJxDGzXgUYArKCQDTQJrVzjFvLJu5Qqphq8nU,3718
pandas/io/excel/_openpyxl.py,sha256=EHHGY2ImIwuDHQWCtQHwJbA-3-DADlYyvXUcvfAmyyw,17829
pandas/io/excel/_base.py,sha256=Xitu_jqA7lATpRHBPZc5VgKxneZK9zSdHLQ5lfee9pM,42684
pandas/io/excel/_odswriter.py,sha256=x3GqN--SK3ZbOg8v6zWHJmdaKOswGuiTb5LIChR0p2E,9394
pandas/io/excel/_pyxlsb.py,sha256=tOzX5qUpjBd-9HmVhKE95sOTs4Kd6Tvn0KUTpavWDK0,2667
pandas/io/excel/_odfreader.py,sha256=BdZdWEdRSXRJXg9uxXT8YPgAV5Pbcuyf_dI-wqKeEzM,7471
pandas/io/excel/_util.py,sha256=TF1N10Baw01Xrx0v54FnfDPvzee7C10po9Wum43o23A,5415
pandas/io/excel/__init__.py,sha256=PjVe9ZS4TIIwUK3ZI1vS2x64s2IgrPzkW8OnrMV4foY,561
pandas/io/excel/_xlsxwriter.py,sha256=FFpBe-qY0dccE8Tfq8qHUSF01ssp4jaQs2clZ7cu6AU,8066
pandas/io/sas/sas_xport.py,sha256=CQY3ALKfCqoaB0smjWmn4kIDqBB2CcZV5xThK_IqhzQ,14035
pandas/io/sas/sas_constants.py,sha256=1osy4oIK4siNYqILPpHOmPqrDFhpZL8c06ywvGFEtmk,6731
pandas/io/sas/sasreader.py,sha256=pGQJZ7fjtgPwNxiDQTwDbi_tVCRLBGVI-U40IBJ4iKs,4364
pandas/io/sas/sas7bdat.py,sha256=uFgejxv2i_DUxeCTEI9NjlhaRU5o0YhRcsT9cQ13JQU,29205
pandas/io/sas/__init__.py,sha256=l74xCbedVGG8EzuApVbpGlttu5KFgxVGQFdvevtAkQw,53
pandas/io/sas/_sas.cpython-37m-x86_64-linux-gnu.so,sha256=tyqoP5IzRF06LELxlyg8pLcqYCJ4_jdz28fFdLCCIlA,206080
pandas/io/json/_table_schema.py,sha256=hwg9e5lnGf0SfE-0Oir2ijU4YSl-TpDDaBwVMzfQFyI,10308
pandas/io/json/__init__.py,sha256=D1g5ROWGdB9OhvKZi6-mYt2QIllqc7Te_xXbesD-2Oc,340
pandas/io/json/_normalize.py,sha256=dXiKItfjlWM5uHTaZScJMX8Va7sdiI6Xli2VGCaTxZc,12555
pandas/io/json/_json.py,sha256=6c-JRlUq6uQjD6d8cP6ttb43maaOzyzoz5wt-xqaKCY,37313
pandas/_config/localization.py,sha256=bi5DEB1edvb_kdBxTTEwmmJrpP9mZn9_gOupBWT2HBQ,4967
pandas/_config/display.py,sha256=fTuUIGSPuAIXGjRxhzsZpHd9Ase-SlMnYyRCUl8ZhFg,1756
pandas/_config/config.py,sha256=0aKM1Xl6Ks9KVlBvhIoOn8uQqfX68KSPR8ZifOG3qek,23688
pandas/_config/dates.py,sha256=u2rl3gkqVBRFadm4GcgijNpZjtxFm88EDH3sopO-3fs,632
pandas/_config/__init__.py,sha256=jzEp5Rpr9WGcaLUuXUKeHQcmWNh3OGBmRTFKTGVMq4s,669
pandas/tseries/api.py,sha256=GqF_UoX9OyCigcaoePStvDGasXZiFByVKSeATIYbWWY,131
pandas/tseries/frequencies.py,sha256=nxJZSzpG_RntjMz5Ouk4QLyj6aeAbkmLfu7mWEz9uM8,16948
pandas/tseries/offsets.py,sha256=r6k_TpTSCMVeLZ5ILWkMvwl9bg3gjK_sjuGmdJyEQUE,1366
pandas/tseries/holiday.py,sha256=DqE4qlTpmvipqCMA2k9e9f65MGt2bAM_dtjqrLRxbpE,16684
pandas/tseries/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/arrays/__init__.py,sha256=cMIl0o9YQ6jUOdbz0_lfdI_37w8z86XXr9L7Kx8eVus,556
pandas/errors/__init__.py,sha256=fAxSPV3tbD-Pf02kf_xO63IY8zKdcB4V8TsmAlOosDo,6567
pandas/compat/pickle_compat.py,sha256=qImQhEzx6LCvpUKOAAhp5nXti_6IuthM5zbmWw7YLdw,7903
pandas/compat/_optional.py,sha256=yMEKFCzI3Y22MHJxMUh-WCrCzKA7WQ7nFEasXlJa8WE,3907
pandas/compat/__init__.py,sha256=nwuZpm80c7GliMKbNn-MW1yYwsGRA28f1ufDJK3yC4Q,2448
pandas/compat/chainmap.py,sha256=o9PLcUwnHzJ77ieXmI6sf-_PaqE3V3NvkF1VdcsGMXg,996
pandas/compat/numpy/__init__.py,sha256=YJC-reS1t8e4bajWO1GIM8CrxPnNBiZ38FlJ5GVRPM0,1906
pandas/compat/numpy/function.py,sha256=BzsDCGdfn5P2Re99HLuSn-NRydIDYMqPoSeEjln27BA,13173
pandas/util/_depr_module.py,sha256=PQ1MOqjY8Go8g56pBSvlVla2mPTaseeZhckGh07vrd8,3463
pandas/util/_decorators.py,sha256=tYSdof8G511nvGp__eEyWQqlZwFwVdLlAk4nV_iVyhw,17021
pandas/util/_test_decorators.py,sha256=bu6I5PSUJR-cbTbIWbUD-vmfH-a5uLtivq9XzR24TYk,8050
pandas/util/testing.py,sha256=Cxkz00-nJkvGqpWXUxvO0LOY16F2hjIkJtgv64yJIcA,242
pandas/util/_tester.py,sha256=7skbiZFQzhY6WPH-dUTwFjgrU_SqJJSDlNg_KsUZCv4,759
pandas/util/_exceptions.py,sha256=o41FLW_YVeexTEaBDOX376m-k74BKZDXdz90vW6XLc0,452
pandas/util/_print_versions.py,sha256=DiWhj9cxOIKnRNmWFkY9lwqNGfNkiNOmBz2-XIdrjIM,4297
pandas/util/_doctools.py,sha256=W2q3bbEU5MwsYoJcZvfMXV-VJxGzjAO_dAb7R572dms,6660
pandas/util/__init__.py,sha256=-i3EBpGY2rZG5FxjAqelpUs1zEOAMZAxxSL5vL8ATKU,372
pandas/util/_validators.py,sha256=Y8pWUl88CiW-Njp7taPFTcyObZofICZEzqGVWZn2Qug,14622