Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Debian packages RPM packages NuGet packages

Repository URL to install this package:

Details    
pandas / RECORD
Size: Mime:
pandas-0.21.1.dist-info/metadata.json,sha256=XQdgs5LRpPFq9AOD94RcmM95UOTfydDs1DFyNjppuoQ,1094
pandas-0.21.1.dist-info/WHEEL,sha256=_IZYNvWVVaoNp_UV8Ff7DryGsfVo0myLfQtMwiK91hI,110
pandas-0.21.1.dist-info/top_level.txt,sha256=_W-EYOwsRjyO7fqakAIX0J3vvvCqzSWZ8z5RtnXISDw,7
pandas-0.21.1.dist-info/DESCRIPTION.rst,sha256=Cos4el8s_tzw_fBWAUT2r4hWcJXD3FgKARyZliWmQpM,3470
pandas-0.21.1.dist-info/METADATA,sha256=ud0K54nE4vepIyj2FeQUDex09kFZTADZhYZTx_KU328,4429
pandas-0.21.1.dist-info/RECORD,,
pandas/json.py,sha256=p_y4Bphbj4ZhWuP3KllmaN14fILVpcoKPOfz75zK_qA,275
pandas/lib.py,sha256=YpFnCyw4kP8Ix82395vu2j5gLGvgzhTKTLx_XD_SM90,312
pandas/__init__.py,sha256=DTJhM15pkOYjryJYfhLVDKauOfPu4nZvciO1wL3Tv8I,5466
pandas/testing.py,sha256=DHSJQ-g2PcYtprUdyovlx9t8okgpTMqswv44kioJtaY,158
pandas/parser.py,sha256=OGnynb2cZYiXs0hZEMCGn7QydQfO-QHs8uOqDP8ZJjo,321
pandas/_version.py,sha256=ronRFD2JtQmECFG4DnUPHsJVriXThrbknyA7c3zME2U,546
pandas/tslib.py,sha256=DpsXicVmYDp6B9ZbbmpZEbV1WQ7mQfNVogwIGvP70gk,294
pandas/conftest.py,sha256=pdcgxB--shLBhqooqgaCHepkw2Iiw43suGWOtd-NpqQ,2021
pandas/errors/__init__.py,sha256=Sp98l3MTNgS9M_RgN32pZDBMXfLQOMjvxJgngFsqSEo,1697
pandas/tseries/holiday.py,sha256=roAvJRxR-sjVudyvv32kRLJdOdwPbp95CCTMGtiOOmU,16279
pandas/tseries/api.py,sha256=GqF_UoX9OyCigcaoePStvDGasXZiFByVKSeATIYbWWY,131
pandas/tseries/converter.py,sha256=_axNNDBMtjirld9f6JQngfOQdvfRNJU-wpONSQ9ddwI,909
pandas/tseries/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tseries/plotting.py,sha256=GwDIPPqz7jg3fgTKUbZCqnGnuBgNnbTGoTJ-GYcW7R8,63
pandas/tseries/offsets.py,sha256=r3i3T8qGDz5vS-Hn-uML9kdY7MOXP7AALgSce_4BHNk,98163
pandas/tseries/util.py,sha256=GR64-7m8vjAwvGQUPkLd-EQBing5IfPu8iOZCrEJg7I,3287
pandas/tseries/frequencies.py,sha256=_EQXLpFbzUqwt4mD0F2VQ6ReauHbjcetnmv64xkLk6k,29837
pandas/io/html.py,sha256=xIK1_xgXZP5__yQ6u654JdtIZ_pTrfmkflupmxJWpoc,28525
pandas/io/stata.py,sha256=cXay3CcKvRhs-FWFngCjZwVughRigcDsv0ZWl9Plqw4,84644
pandas/io/feather_format.py,sha256=lUhpalL-66pbMLMudVbM5TOsAddcADx1xOQqu1iMsys,3342
pandas/io/clipboards.py,sha256=YKiBrNCm52bWXwczb94XtDZ2nidBXU9oYrD53pRRi-w,3793
pandas/io/pickle.py,sha256=BbussIkRl-0XkkNEy6sFx8CgDugSAFX59vFsH4KP0co,4313
pandas/io/sql.py,sha256=9rTISj5lXfRj3HDEtwI9g8U-nXmJRwQZQbdiUnFbhsM,58662
pandas/io/data.py,sha256=eGf-8YJ8yeamyUsxPMhNxAghddWsghojAl1pfVmarmw,334
pandas/io/api.py,sha256=9qNvRFplAtG-bVAetb8gqfKnh327MkU_CI_LyzD7nuQ,1146
pandas/io/gbq.py,sha256=zjeQhzqLVfEvR7IIHjVQv6GDUsA3001k3cJongxElIM,3913
pandas/io/s3.py,sha256=LBBUUPUlZFLu2diotTj4lsm3Ye9JWvl2S7qWT_78JUo,1222
pandas/io/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/io/pytables.py,sha256=2OP4eK1KUQw82owu5All2wcjaC1UehIN2wrXcdmacqo,162283
pandas/io/parsers.py,sha256=nQe-zlPY844TarIKBeUBtPZwY24ln_JJUe9iznSPSec,122366
pandas/io/common.py,sha256=a6QC8L0UN4kp6WT24yB1C6G4XoZb6Ew5bVzCwrPBp_w,17580
pandas/io/packers.py,sha256=lSaDJD8QUKQ7AX599vEjjPMpvEkWShMjyH8dciLPmEk,27570
pandas/io/date_converters.py,sha256=RneSWUky4dCg9C8baevMMaFIGHkumzIezb64T7aRYss,1901
pandas/io/wb.py,sha256=wVf6xMFpySJoEBEErxJ2IEBiVNx0Lg2YXML7K7-XrdA,332
pandas/io/parquet.py,sha256=oV9YwGkfzQm3N-ZEd5_bsXXcl3-jclg2fU-YIZDK-DQ,8906
pandas/io/excel.py,sha256=sLSZrq2p5Z2A6ES-zFGpAlKZVUVRZK0Fulw0ttimHz8,60306
pandas/io/formats/terminal.py,sha256=-gE6ktjaYSv3JB9oQg3Ys7LEBzqFt4qjl41RiPtZ0gQ,3650
pandas/io/formats/css.py,sha256=BkRsUTeJpSaPpE-lQ_Ajo__w7XDUij-_RGVQeBrlccI,7945
pandas/io/formats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/io/formats/console.py,sha256=TZRok91oRhZq3LwwYorZ2ki-0HaGsshfBs3KyAKLv1Q,2732
pandas/io/formats/format.py,sha256=Y81bFuhqtiiwrlz89T2WGSj3XtRYDJ2M3agZveSjLA0,90609
pandas/io/formats/common.py,sha256=VC5zoKB0vqlumytPI-P9TPGi8EVLlnneQ0Rpz09xj0s,1094
pandas/io/formats/printing.py,sha256=MEWps8ElUqN12GL_nM0VFtVSeKpMMzMsmOSAJcJeXOs,8864
pandas/io/formats/excel.py,sha256=zGZqoiBrLvxiwdbwlrtqcMcHsk0tFoWH1AeWE8DMJug,24155
pandas/io/formats/style.py,sha256=6yIOGDXdRTrjkZyDdwGWfwISe4QwGHXxRrKYh7yDSn8,41460
pandas/io/formats/templates/html.tpl,sha256=iWFMdkjRj7T68D6hnQjCsphxeuxP67vYTEsK4WBrW7c,2045
pandas/io/clipboard/clipboards.py,sha256=dzZJbnkPMIByRIjmV0aYh0QrFyHJviCLicQZ0lOURSc,4047
pandas/io/clipboard/exceptions.py,sha256=0fpZwNow-CEX_5INDyVermOyKbLsJmVtx83kW1jmQao,279
pandas/io/clipboard/__init__.py,sha256=UF8Ll9qa1LyBlD_nX2PVGVyNP2rTiM3jHXiAtpnGSLM,3443
pandas/io/clipboard/windows.py,sha256=s6pFlaP0KZnIo_db2ubQqbBATnCLp4r6BSLI7t_Rzig,5441
pandas/io/msgpack/_unpacker.so,sha256=B2l1RE5BkCniyMXl0DKSBAD0SjoGRd8EhxqUMvdK4I4,414899
pandas/io/msgpack/exceptions.py,sha256=uvfwRHGIILIKFm2f1UANdwFr_qJ5Wp08eSXksMZsr00,506
pandas/io/msgpack/__init__.py,sha256=NiGFlH8DAp6qOAY2CayowlYE8Ap8jyDIlWcels4FeUw,1233
pandas/io/msgpack/_packer.so,sha256=qUNx1WE2BfjPSPxwEclY6nrE66Ha66cLi9ctfAb8PlQ,366017
pandas/io/msgpack/_version.py,sha256=QXoo6iFXPa7HetqR8eOrP1u3Z8qNt3S3zl_GyDwCT6Y,20
pandas/io/sas/sas_xport.py,sha256=OkNW1CjJUHQUyEv8D46lLnSu3WXq6X3UWsH2m5zDbEs,14805
pandas/io/sas/sasreader.py,sha256=JNIRSSbJQXzj50RL8YGjfchSJU2FAW06xlNq6C__SKk,2558
pandas/io/sas/sas7bdat.py,sha256=GANF4LlPdamVdST6qBHGlL395ZU48_A4rIZJqWQ8rDg,27243
pandas/io/sas/sas_constants.py,sha256=WSrZ8jhMMVXm-aUtmVlMvndYvHGtTRq7dvCTKhzBUuI,6535
pandas/io/sas/__init__.py,sha256=P1ZbFZ6Wzbv_mC0s9hFdsHc394GQD4Nzd1blfkY5kwM,40
pandas/io/sas/_sas.so,sha256=2oqKbM3fG5NvKaFHYeIqylzMlTOT21BjnW1r5WkWecw,1133984
pandas/io/json/normalize.py,sha256=yN1ISVf3NgowSM2XcH4PN6byhiMK9tu3RTM1JZQBrj4,9166
pandas/io/json/json.py,sha256=FymP5KCtmT5ZI6_CwUF8SihPdI3Ov6G_9yrhe5djuXo,30481
pandas/io/json/__init__.py,sha256=nubUeI727d0nKhrnpnrVzskVbLIGFu4FstAk86lTZbA,201
pandas/io/json/table_schema.py,sha256=tqvAirBEBQSJBk5YOHILnQ9Ubet3K_oRnNn6s3erots,5211
pandas/stats/api.py,sha256=Hr74Z0tnV9ClzZ5Rx06aoVpx2e3380Ndoc3sRlcfZKc,102
pandas/stats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/stats/moments.py,sha256=Ewar11hf8Gm3cgkQvwdv9WBlPy4gCvRy0eIE85gG_Qc,31620
pandas/api/__init__.py,sha256=9azDIh0yGXSPsInJi8qB0qkLwLRjNbP-_HVNdD28AtE,27
pandas/api/types/__init__.py,sha256=YxfrhHzcy-AzvN3gkstQmHqo8qfVihDoDEAybcRp3XU,414
pandas/util/decorators.py,sha256=90S-KQ6u1Sb7o7goMHWtxoaHE1Qoqtl6gg7TNcfp324,265
pandas/util/_print_versions.py,sha256=uVOnI7dZSPHACeAmPh-IiDFmkmLOiLyCeK3fFIymBNo,5141
pandas/util/_move.so,sha256=wBYfT14Pvr5niiA_kwQdjTtgFvAaebQrxUPEdAOQAFI,24768
pandas/util/__init__.py,sha256=oqwcd4Btk0IquNVTxlNoxBqMrGvU9nCf_y3gGMyi7P4,160
pandas/util/hashing.py,sha256=DzfcqbbPgG59xCzt5ZVPss53fZdFI6d_vdr5U-YPUUE,561
pandas/util/testing.py,sha256=QJVjOnm5Vw135EXSJIGu4dVWZyH9sfanMX_R-TdJtyQ,93035
pandas/util/_doctools.py,sha256=4sqV7FS0Q2NvvJmwkptTTf2ajSGHYPXOVp3FL0hTj1g,6816
pandas/util/_tester.py,sha256=zEFSar8-dauxDetH6BDrvvUjFrMAfPpmcUPu_rYlfJY,568
pandas/util/_depr_module.py,sha256=cqjFllVSNhoCYW3cdHq1Yn1agdNLPjL9fPO7_Ev-l8s,3574
pandas/util/_validators.py,sha256=MckwZIYSV9M8A1KMh3vwZa-fgjuZTcozTgbXcP0NF-4,11723
pandas/util/_decorators.py,sha256=kCP7XHF41J9VJ8IVhsB35LppWDseI3Fd2Pjvky3PG3M,10672
pandas/tests/test_resample.py,sha256=cMf07dSnW4xV1QNwSWCVFSAlFKCZaatJMS2l4vZQnHY,136146
pandas/tests/test_compat.py,sha256=VDiQw15x94uQRwKzO_vcEaocE7KqIzrbtyuPcAN-1xQ,3170
pandas/tests/test_take.py,sha256=O8y5OaXW-nv15kIoJeN8On9bNRp1rkWZURoXrDd9feE,19017
pandas/tests/test_window.py,sha256=JNsZ0cUuJs_XowdscjYF2_Q6Y7RbUrP-NyDpQb4kzVs,154774
pandas/tests/test_errors.py,sha256=INkWIGYvkzKClWayOt1GPova06aY1TUBH9z1VzjuQu0,1147
pandas/tests/test_panelnd.py,sha256=5OtvjKUWytOJ9tHbiemfqkJg3UjeLdm7hdzp1gJFoWI,3726
pandas/tests/test_strings.py,sha256=vMmU5QUT9IqdmLM9AHM5UYpp6eEytDRT3roOOPDoI1k,109414
pandas/tests/test_multilevel.py,sha256=dWODKv9q4kcumnhGDBpa4dQTqFkhhNxla6qbn68ybuQ,107010
pandas/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/test_algos.py,sha256=ZD0cxdbivOvu5ived4RCkoUQSm9sNAsAawQlg2GmjfA,56061
pandas/tests/test_common.py,sha256=hn3xJn0PQsYihVC9xXilXNyVrfvLsPUoQbx3zZHoS4o,5612
pandas/tests/test_downstream.py,sha256=wzaC_9FkfNTbAmNqOMq67YB80oXfbDzRKSa3JRIE0q8,2572
pandas/tests/test_sorting.py,sha256=o34m6STo4W0zmHSxkmZU-YgCVjwkdl03JsnCPx186u4,17679
pandas/tests/test_lib.py,sha256=ZSsY3PeXJaJelVsycDO0vrTWdtHhYFbuCZIKru9gZNg,9168
pandas/tests/test_panel4d.py,sha256=MQsW5v5I-B1degfX-iXy3vpNrJRLNIGGQFHM2jA_qpU,34182
pandas/tests/test_config.py,sha256=xKInB11lr59WVaPjA4tsBebDuxhyn5aEDdg1Ju-jg5g,16024
pandas/tests/test_categorical.py,sha256=PQxUM38CpZGeIrOa6R6uz-GZbnZRDvg3C_Urv-lVZPI,192982
pandas/tests/test_expressions.py,sha256=ziBWUKZNoThzKDDgtYrwRyKpD0HyBA4MmrVrYJJjB6o,18169
pandas/tests/test_base.py,sha256=ZBe4-dWGaPkXmRyt5E7SpdyHRGaVVLbxTqfMDi1jgx4,43520
pandas/tests/test_join.py,sha256=YpZ5gi7RE8KScCalmzVM1K2uHMcffzEL8uRuAR-f_yU,8584
pandas/tests/test_panel.py,sha256=1vKQMNYOQu5TyBfBGM7rNJeHbs1bNNlDY1XFsNs1HWk,105442
pandas/tests/test_nanops.py,sha256=Ju0eWGTjzuOWi46T4zKxR5gVW5BrSlFdXrVlQRc8PNM,42265
pandas/tests/frame/test_rank.py,sha256=LVopBH-oQDAnFdc-PaqMA9R54UPm3PfeBW7EBwaqkPY,9430
pandas/tests/frame/test_constructors.py,sha256=mj2I7plfnTvwVvxpKjXkSHsLtVg_ruN6P-7OHq81X9U,75062
pandas/tests/frame/test_validate.py,sha256=wPBh-PDMvHHKvG-ebswt3q5GVO6b-dmBIhqhJ5bzPkM,1099
pandas/tests/frame/test_reshape.py,sha256=2REI5IAic27XRph-ZydhkdifI8Jp1dPgl2OlQ8CjlKs,31676
pandas/tests/frame/test_analytics.py,sha256=856AhTDrEJjmE9JmS3yNDf549MFNrjZ4tqwChLIznZY,79172
pandas/tests/frame/test_asof.py,sha256=RBJ8ZOoqhueEkdave_U88Lk7YQD8MTgaDcmdBpK-A7M,3881
pandas/tests/frame/test_to_csv.py,sha256=ubVBpQa7JabHT9Gzq4BpcZsR8joVJkWHzCrbFFkAMUw,45142
pandas/tests/frame/test_operators.py,sha256=bMnevLC_WOZeU5bxj-00BrPbp7nndbM1jNTSer-uakI,45060
pandas/tests/frame/test_subclass.py,sha256=UYq1VrtlR0qWV_7JUK6YU5rlR40B8gIfOQtKsitt__U,9524
pandas/tests/frame/test_nonunique_indexes.py,sha256=RK1lQ7djxtdqw1P7EwYdxIDb95PSUfGWOaus4-1Lixw,18508
pandas/tests/frame/test_timeseries.py,sha256=0aab86plxsNW4erJ7ABEvj41AWVJDYvhKq9V_dcx8nI,20478
pandas/tests/frame/test_axis_select_reindex.py,sha256=pfTvocf0bJ3-M_0x6KK0Cz38j14XjLf9xd80NAwabZk,43348
pandas/tests/frame/test_mutate_columns.py,sha256=vRdXz7RpqIwlLNU8xxqMSZMW6_zouc4xfUxJ56rYDII,8662
pandas/tests/frame/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/frame/test_replace.py,sha256=gC3cgKgRwiEz0AOlZPLvNkn96hcrXTN2v-0dtkXKH9E,43479
pandas/tests/frame/test_indexing.py,sha256=eRLO6BdWkO6XW6DjKlROFlahqbmBFYwlGPQeCNz1tDA,106857
pandas/tests/frame/test_period.py,sha256=ocvRbfGKG_IGNFpXVq9IEJxsgFWjYZysrgDVR8ewqII,5005
pandas/tests/frame/test_block_internals.py,sha256=Lv0stL9fKyYO4KoLUpwTOeL2Ew9QgzgJYnhQdbD6bYE,20693
pandas/tests/frame/test_api.py,sha256=orqrAiTG7VhRJILEOBUJ_LAPj3lSznv4oIJe6Tyg0EE,14876
pandas/tests/frame/test_combine_concat.py,sha256=HLExqMDd-sBJSA5NWBmuS87Km4ABeSVxKY-yAYucbg4,30792
pandas/tests/frame/test_quantile.py,sha256=zTGTZyx8OnuqqxZfY_6IbgwXI3eonLULfMFG6Rn0XJc,15893
pandas/tests/frame/test_missing.py,sha256=8_lQlSKjV4GA4e8ZkRT1ZnlhwSht_CFJ1otwUPDeqc0,26736
pandas/tests/frame/test_sorting.py,sha256=4ufr-s_Y30Mbhg7m63bD2Zdqrpx0FlwY2nhEUAqx2yQ,22387
pandas/tests/frame/test_dtypes.py,sha256=_ZyjYFUYra1b44LHkBxvVb3XaqLwK2aw7uUbOycTzTw,32258
pandas/tests/frame/test_alter_axes.py,sha256=VgCCH9w1zKWRWfr04jJUU4o6wrcJA9x6JOXfChRFidA,43964
pandas/tests/frame/test_convert_to.py,sha256=aiTgFm6NYSzdQ-7a5fNACsRh1UMklG21AGEfyYyLYFE,9835
pandas/tests/frame/common.py,sha256=pvHnwCLc0bOq2eG3XvWDfcFwkqT17tmEu8kZDAhs5dY,4708
pandas/tests/frame/test_apply.py,sha256=qQVMg8LhjB5dAWL0pU5QAvChsmVQzhU_Wg04wE1Mk14,25966
pandas/tests/frame/test_query_eval.py,sha256=pgEJC_QsGmpAqCKMmZ8HPXPce93F3DTfA2dLIeAGqZ8,42395
pandas/tests/frame/test_repr_info.py,sha256=sYZlrnV4ykbex5QdnheErC5mHty2O2LxNr6T1e2HQio,15880
pandas/tests/frame/test_join.py,sha256=GowCiUuJB3U06E5Ze3hofKD3InWAPtwXm5B_Tr7fX6g,5226
pandas/tests/scalar/test_interval.py,sha256=lPAeZm5AThmOCyjhtbB3TQ7h2SWD4qRDg_j1ORyUgLc,4026
pandas/tests/scalar/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/scalar/test_period.py,sha256=QqT2cqH8lu_pzbpxZT0ZtkrMwoad1US4Enbx-jxTs0E,50581
pandas/tests/scalar/test_nat.py,sha256=g_SdZu01zZyvhCUQXkX8lvh9oR1bBpaIzS2pEZzStSU,9574
pandas/tests/scalar/test_timedelta.py,sha256=OnezD-Nf3vjafZWw76L8H5Hs3CGZRU-mPLTzXMQgSpg,27761
pandas/tests/scalar/test_period_asfreq.py,sha256=ohckogleX1MU7mPU1aVwOeMj78V0pHqz2m0IwJadza0,35624
pandas/tests/scalar/test_timestamp.py,sha256=vN2QnVGbSXl884GEcd8G62ozRlQqd8qksovPliJUDjs,57239
pandas/tests/indexes/test_category.py,sha256=W9AQchyRmm1ltiK2p8_Zuafjk3bLG3uuh8JGS5RQCcs,42786
pandas/tests/indexes/test_interval.py,sha256=5rtD9XWyPU1a9jjhFA-HOGFCtNo463O86Gg6zgHwEzU,50762
pandas/tests/indexes/test_numeric.py,sha256=eKd9mQQ6XjgUTI38hjANPVyquZZpvClvjFi74GcGs9U,44340
pandas/tests/indexes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/test_range.py,sha256=wqRXDB1ORLYc0q-amEJQBWzf9k5f1kwSMTW6UfS5L1A,35978
pandas/tests/indexes/test_multi.py,sha256=yoFmuQSjcwmpw3sshqYCwtq5kJmNxvDx4oYqDtOsDS0,119189
pandas/tests/indexes/datetimelike.py,sha256=gicVpkwxG9SE8AXKmkLx1Mtq61v8xNcUbKJrw8AWrGw,1040
pandas/tests/indexes/common.py,sha256=XpdoSNLh92hd9m6GOR3ewjhs4Yyx1DnN7I5JRyrRoGA,38024
pandas/tests/indexes/test_frozen.py,sha256=jj1IUnMx6vihRTLm_NGypY78lvrjwrVfa8jiNErNhfs,2435
pandas/tests/indexes/test_base.py,sha256=yhrn2QeSSes_FmO5Kl0eOA-zacaFECQfSL76dgTLQxA,82608
pandas/tests/indexes/conftest.py,sha256=crK7DUUWHE3Yl9Qi5PQpD9HAVe5er5JWBJsKfXh--HU,922
pandas/tests/indexes/timedeltas/test_setops.py,sha256=ntDxGF0Bd8sPYX8Vc6a36JseGY40GKOF7DnssEnSS2k,2556
pandas/tests/indexes/timedeltas/test_partial_slicing.py,sha256=_-UgKjY9bf_QTcQH4W9eW55hnGs7CE0vX8OS5Lhs11U,3051
pandas/tests/indexes/timedeltas/test_timedelta_range.py,sha256=JJeeo-kZic8qhYJtLf0Cwf_U9I2-7M7pJcxXLzAe5_A,2680
pandas/tests/indexes/timedeltas/test_ops.py,sha256=JY5_FB79hojms2AUbYOU0M4cHyuL6OklcKJxp-cvoOo,49452
pandas/tests/indexes/timedeltas/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/timedeltas/test_indexing.py,sha256=RzJnqoRdJF_cZ3hNroNEzknDcAWKPVsKGThofoxMSW8,4622
pandas/tests/indexes/timedeltas/test_astype.py,sha256=74XxujsbtC-e9wvApnAHEU2Ayu-6jqBS4EaKIaLDi7M,4247
pandas/tests/indexes/timedeltas/test_timedelta.py,sha256=FuHUYPzMk1lA6B0MRgqhm3XqQenWiawgJY61-Q6MkyM,22801
pandas/tests/indexes/timedeltas/test_construction.py,sha256=YCCDFi530Qh2TVw0VyC77xEB_Cz63FJmy7iX6HAhy-M,3604
pandas/tests/indexes/timedeltas/test_tools.py,sha256=NHflBQxzoZCIQuw9L3CWmTtukClDxNB18n-32-XV51Q,7568
pandas/tests/indexes/datetimes/test_datetime.py,sha256=1XqeDMo1miM6x0JbzxVASs1ABY485Nw2do9c3r4j1X0,33805
pandas/tests/indexes/datetimes/test_datetimelike.py,sha256=G9QRMpSpQ2A5uYsTtoZCu1r5OcGNIE7-QfHsyJPxHjI,2661
pandas/tests/indexes/datetimes/test_setops.py,sha256=kSQEZMbbiDxzAPHqj1LIV-fAKz-UJ3K_BRnoFEx04sg,14446
pandas/tests/indexes/datetimes/test_partial_slicing.py,sha256=IC1oekU9k6ip9v0rCzHjOwZT-VxNSyXzw6r7o4kHzVY,11522
pandas/tests/indexes/datetimes/test_ops.py,sha256=erv8I0Cit8aafUuYCn6RSp0x9DrAJWCpOxG47n6nzFE,52676
pandas/tests/indexes/datetimes/test_formats.py,sha256=CQgeDVQVpt5gavmbF3VHMpDtzfOZQoN-o8bOHKiwuls,1504
pandas/tests/indexes/datetimes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/datetimes/test_indexing.py,sha256=gOHhKmISDVndiZ0u-iqwttYxmI4phd8nq6poK1JRC3Y,10289
pandas/tests/indexes/datetimes/test_missing.py,sha256=90e2PA7OrsKF2cE5nQyHfFtYXQR3CrNaYkLlL3bH7sg,2132
pandas/tests/indexes/datetimes/test_astype.py,sha256=Vx-TzcOGqm10uukEDd1gvNXFVQoFDTp1q-Y7imT7M5M,10755
pandas/tests/indexes/datetimes/test_date_range.py,sha256=wtvKpnKGLdIE-5Rjvfw9tS5YZJWn1MghUIT8RihI70I,25566
pandas/tests/indexes/datetimes/test_misc.py,sha256=BAxXG5nQH3dHfbpNH88hPu58ogFEaMJ5GDAHWIAYxP0,15040
pandas/tests/indexes/datetimes/test_construction.py,sha256=OINwDpZp_PDNFIHOtDfAUO0JJ-vvk2jBONQ38cFSDkc,25835
pandas/tests/indexes/datetimes/test_tools.py,sha256=B29k0N06or-fHqfPCU-rO_0MWB01Vi14k1R5ir-H0Kg,66436
pandas/tests/indexes/period/test_setops.py,sha256=8fmLJZJU7UGsLTSnepiXme3F5FmTj7t4dMWtaxUeps4,10772
pandas/tests/indexes/period/test_partial_slicing.py,sha256=9_wYUzvkcACfT3dXJh8zkU2Nwp8lXQdS8KkhxcYVLC4,5909
pandas/tests/indexes/period/test_ops.py,sha256=0RwVNJmonbZCqESn7f06rjtq08_bWPBjy9Nx58i0gBk,54414
pandas/tests/indexes/period/test_formats.py,sha256=o-kB6upMnxvWoWJsUd9v0FIVD_zfPIgtgTkMan7UHQw,1545
pandas/tests/indexes/period/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexes/period/test_indexing.py,sha256=XRwyIBqHg9m_UgMikPkAYHpTsvIWYVTMFGHzqEupVx4,11822
pandas/tests/indexes/period/test_period.py,sha256=6P-o35naV-Lai3Yyhvef_AJNeugbzDj-LxYVTZpYu4s,31232
pandas/tests/indexes/period/test_construction.py,sha256=B_glPbw9mnwXnAjAzg-RpaySW2THKYyLwfoQk4SAQpg,19472
pandas/tests/indexes/period/test_asfreq.py,sha256=mA0-LZv5495vczfH1XpQbhKC8WvU0Iw6AmD7CC-pgh0,6411
pandas/tests/indexes/period/test_period_range.py,sha256=J3WhEizt84EheWlk3N1NhIHm3UPANUY2L21duVmmaek,3646
pandas/tests/indexes/period/test_tools.py,sha256=YzQv-CRoHz7EYQCN-65yzeI953ccpl-pQyLCa4ldJz0,17291
pandas/tests/indexes/data/multiindex_v1.pickle,sha256=ruYUQyw1V7XuGkTw2UA9DmM2jsDxJX9fGAnrR5sfDyw,1101
pandas/tests/indexes/data/mindex_073.pickle,sha256=0f2M8ua8-G4QXNupEIxE0ncKgUyoNjyCu7dvB8iwfqs,670
pandas/tests/dtypes/test_io.py,sha256=j4yRMpRa3NT5zQ9kJ8D1sruiP0_6kUw55OG7nqwzIsE,4606
pandas/tests/dtypes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/dtypes/test_common.py,sha256=tCQcTN2qr7kE7GwPsu7QRmg0ThRsW-UIi0_UyUAwztY,23223
pandas/tests/dtypes/test_missing.py,sha256=cqmzCf3OJmE8NpGlwHh5h0mmcedBXpeTimyyf3JdGIc,12886
pandas/tests/dtypes/test_inference.py,sha256=9hc1lekjJngU_I5PM0GUZQVlTpFnI3L0EIwip-1L-9E,36943
pandas/tests/dtypes/test_dtypes.py,sha256=jitCdFigwPFKOXxKCJByjp8zjC4xzmt5YeluwvAxI24,23871
pandas/tests/dtypes/test_generic.py,sha256=L-SaTKvwpq7Imb8BaHz2AlGNTXmRjJXvh7Ky6jsNSE0,3510
pandas/tests/dtypes/test_cast.py,sha256=15mW9FTK8lCJmcIj9SqqSDScBaNLr8gHmWpwFNuP-Zc,15172
pandas/tests/dtypes/test_concat.py,sha256=W24c2dXCWMOe8vCZRXf4OFVKOfejl1u0aQNDpFgENw0,3058
pandas/tests/tseries/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/tseries/test_frequencies.py,sha256=GOoMFi9X_0BUcUO75TnMHmBU9QIpvjCuKVS3H3ds8P8,33773
pandas/tests/tseries/test_holiday.py,sha256=UWn0V-WjrRhW3gCyQYs4qd3oDAWKlWRTaeTt9fw-J1E,16104
pandas/tests/tseries/test_offsets.py,sha256=SfzdBKqFlDGQs_Zrv-6y1aNWYtN8Gm4ZfWxS3l7bFUI,216061
pandas/tests/tseries/test_timezones.py,sha256=wps73CX0qxKGtIU_PlEqPGVyCY5_sbBbD9Pw4H23sQ4,69439
pandas/tests/tseries/conftest.py,sha256=rXwCsI2bARVY0x-aIwSoTvlTWzidlfznUp1UFWqDs-8,360
pandas/tests/tseries/data/cday-0.14.1.pickle,sha256=bangslVpZYZBekaL0yJdjnpIcrSIll_LkISQ5L3Aqvs,492
pandas/tests/tseries/data/dateoffset_0_15_2.pickle,sha256=xjV8Adu7NaohjCTI8MR78FGBr7CEhpnhn6eUgL5i8H4,1176
pandas/tests/io/test_html.py,sha256=H-tdz0QYYbX4bpSR1OAWHwOSEhSr8sYj99QGEJ41Gmc,34259
pandas/tests/io/test_gbq.py,sha256=4xM5Si6QXnUQ7wlBeKA85KbmsQyqGu0oM9yhaQG4A4w,4194
pandas/tests/io/test_excel.py,sha256=7aWSrwPzbG7KyGFZGCv0-hw4YlAuz54-VAueMUzhz9k,98903
pandas/tests/io/test_sql.py,sha256=xdN3StB1U1O48CjOzVYrfF5A4BKhT0y-MmvsVFjSt1o,96216
pandas/tests/io/test_feather.py,sha256=ijPqCMtwIipDP-rM3jed7quLrf220xidMS3CmZ8jnco,4975
pandas/tests/io/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/test_common.py,sha256=5sEbY4fa0r00rgEoPtru4fJFQYBJVuGJhspznRjkBf4,8888
pandas/tests/io/test_clipboard.py,sha256=nisq1ww2zt2ZmwMxDMH7nawloyfnmt8GN5nwUYo3DNs,5004
pandas/tests/io/test_stata.py,sha256=vlESIG6FWmKw-r9IaiEuqTJ2CV_gUWFc3lb52FzDu18,57029
pandas/tests/io/test_parquet.py,sha256=iSTNXnieqRf55dWcb9zhQbItitjFtTMPYwqsBugJ8wE,16349
pandas/tests/io/test_pickle.py,sha256=1QWhbGQ4Vkdd_-S4ASGaAKGyx-Mcn4NWhjhrtl4pZh8,17263
pandas/tests/io/generate_legacy_storage_files.py,sha256=goWkzcuCPBO6rGMdaEEP2ZbHY6rhsvCEzp4Ys9RSXAo,12883
pandas/tests/io/test_packers.py,sha256=YpEQe7SVAOiXNMsU7RCKRdWkcboHgRL8HvyTtoBiXmw,32254
pandas/tests/io/test_s3.py,sha256=NIZVetZ9xpG5Jiu0WMXPsy_Ei-DvUZnt6_wv8J-pCgU,220
pandas/tests/io/conftest.py,sha256=Vs3qcIX6mt48AzCc97KDjmBkJG781iuvRx7ygAo33_c,1827
pandas/tests/io/test_pytables.py,sha256=p1BhgFJ94dbqp-GsfB1ctfnZjxMLU7ZygzbEQO2wiVg,217709
pandas/tests/io/parser/multithread.py,sha256=BYudetMRB1nMdqtS0f_nt7eNe2ofyfxVDLvrJW2TIRg,2806
pandas/tests/io/parser/converters.py,sha256=_tTIBoUQBPfpF6bQqw17uQRKuSFkXikIxzRG7TLP1hI,4912
pandas/tests/io/parser/dtypes.py,sha256=YU-XVxiWYihxgMvXF8GvYSI20m5BiM-qMbfCGX1cppE,15734
pandas/tests/io/parser/test_unsupported.py,sha256=gQCbxagCTgR35mVIT-RqMfsTVYqi5YxlqHQF2TH45XE,5713
pandas/tests/io/parser/skiprows.py,sha256=W431SZwWZ-YwlIXjRh-FEvyIAfRE4dxso04w3bMaNh0,8200
pandas/tests/io/parser/dialect.py,sha256=X6RdpK6ZYXJQpqctNC-MBJCdfPj5M72T_d0QPQts75I,2039
pandas/tests/io/parser/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/parser/test_read_fwf.py,sha256=TLXjWp9AcHLzNDfOJ39Wjop-y7D6-EzeA_yz6RzwbBs,16032
pandas/tests/io/parser/parse_dates.py,sha256=_z0emvdBOS4Xm0qYpReP63olgZUE7VEP-IFdnlH_Kzk,27616
pandas/tests/io/parser/test_network.py,sha256=yj1YJj-rH6MKT3ImMSY92g4iEX9rOmevDyieNximwSg,7395
pandas/tests/io/parser/usecols.py,sha256=T2Bz5zwmioYs-fYAf30erMu-6AxeM9gNX6renXx4bnc,18059
pandas/tests/io/parser/test_parsers.py,sha256=QHgnY32ij2Kue4VpAEnjSFh9MyG3bxQMMWqg0HFybYw,5181
pandas/tests/io/parser/common.py,sha256=60130nuEwh8VBl5Sb9tCCu9nukID4Wo5nAAudVtb8vQ,60099
pandas/tests/io/parser/compression.py,sha256=rtBNbxxUkORN21xFoKhpE_rHYYKxZm7zFRFIOxXLRmg,5917
pandas/tests/io/parser/mangle_dupes.py,sha256=04hw8k3l8gmYkunrRye--IIqlY_OxizBfChKISjY5aY,3591
pandas/tests/io/parser/python_parser_only.py,sha256=0cS6mC9zd_sd3S2G1xu5PlTN33Fvo1ZNR_VtTcskBGk,8976
pandas/tests/io/parser/quoting.py,sha256=OrpLh74lBP5pIxuEcBkpWuoXECEw_ZLmosYul0IvRHo,5813
pandas/tests/io/parser/test_textreader.py,sha256=uwrZJWbFNOYX0SCclNpEhek2CC21HgWjlPej4-eQvHw,12995
pandas/tests/io/parser/na_values.py,sha256=DTTYamwpzTKiSXxAhyS7x116kBPRSTUpc0fWJHKcRrM,11239
pandas/tests/io/parser/c_parser_only.py,sha256=GMi7IQHrdZ09NUZ3e4wB-0bNhZPeyC1DOFetq03pero,19779
pandas/tests/io/parser/index_col.py,sha256=p1l_U7W8RS-ZvT9rYJSPua3Pk8rz300aKxP-dQBVgpw,5352
pandas/tests/io/parser/comment.py,sha256=1bldT2Z_CoG2gYxWFuuGF7mCJGe2b5uTfUStlTjkMz0,3757
pandas/tests/io/parser/header.py,sha256=pURiAouHF2oRV8DyshDY0_q8SL7WSQ88PDfude8-1Oc,9626
pandas/tests/io/parser/data/sauron.SHIFT_JIS.csv,sha256=VKh8_V4Ae0c7e48p_lwJkQoRbyuht4lkZLxmCUVrfjI,1811
pandas/tests/io/parser/data/tips.csv.gz,sha256=2zMdyFNMgUze-wEB_SExNL4oQQ_6VEWGaPwa2z3q80M,1740
pandas/tests/io/parser/data/tips.csv,sha256=IkFarx5W5nW5oJg8sNMhaX2tUfYGCkT7jsqtegDemgk,7943
pandas/tests/io/parser/data/test1.csv.gz,sha256=6p_0p_FL68bqU4z7A0eh0QqOUlHqF2JGzamZQHWWLo4,294
pandas/tests/io/parser/data/sub_char.csv,sha256=zIXJvKry8BP5Im8bFfGIt0NHGRC1TWAYM8xLV6pTW5k,14
pandas/tests/io/parser/data/salaries.csv.zip,sha256=0SqCX7C3mECxuaWkLtJyKz3kC6xr3vRhqik6orrV8c8,445
pandas/tests/io/parser/data/tar_csv.tar,sha256=4g6VTo-OgXUviZ7M-bgAzIpTtSSI1daP9Oixg-bNvN4,10240
pandas/tests/io/parser/data/iris.csv,sha256=kE15GzCKp5v08GZp9jvj8aszGiO9UIBRBl4A9wD1c_k,4600
pandas/tests/io/parser/data/salaries.csv.bz2,sha256=8Se3BkzsMPUcvWBnxbsLiJp-Yx3ax5CP0Ct1zPKTrvs,283
pandas/tests/io/parser/data/tar_csv.tar.gz,sha256=3Ih2xvBwUQAZOExNzaZUjp79DL0v27BtK3X4zutYqYk,10240
pandas/tests/io/parser/data/utf16_ex.txt,sha256=WAO-cZ7V0KEQnOJVcvEveLXmpauM1vS5-64aQGbcAyg,11406
pandas/tests/io/parser/data/unicode_series.csv,sha256=YSFU7qtqLEA5kQCgPUcW5WucAXepu2SM-LdiY1nAWXo,577
pandas/tests/io/parser/data/tips.csv.bz2,sha256=0eou6CWMgKurHQkkm5OUcv9hDZxsHyU4w9WjPgOOuEE,1316
pandas/tests/io/parser/data/test_mmap.csv,sha256=gLTgIhKApX6WVT7xgHTr5AuPpWpmi-X7QV8V9Kx30kI,35
pandas/tests/io/parser/data/salaries.csv.gz,sha256=0xlGXwmO6jQyysqpt5bM2AddjAn_lC6_0Bk9oPwafp8,302
pandas/tests/io/parser/data/test2.csv,sha256=NYYrmpalMYXL_WaUcaczYR0umU8irxRFiP3UsFoehMA,431
pandas/tests/io/parser/data/salaries.csv,sha256=0L9_QMISw8PVuzUeHTcV9zYxlGd3vfbo2rKeALSMWTY,761
pandas/tests/io/parser/data/utf16_ex_small.zip,sha256=IAfrLJqQ04kVa1C7dU9y_PJmiEQ8ubpbQgdsCnneG6A,285
pandas/tests/io/parser/data/test1.csv.bz2,sha256=TBA8LjdbKFOZ0DKKz5qgrcHBEvyKnqz_yiuwMraADz0,307
pandas/tests/io/parser/data/test1.csv,sha256=fBaJzySWatvGiHdejHVQtgb9ICoOwNIGiMwhZsEwDGs,570
pandas/tests/io/formats/test_style.py,sha256=cLAMNp523z9lYRNtoBKL3vPFVHHE0GWfyYnObTYPYTc,39005
pandas/tests/io/formats/test_printing.py,sha256=S6s-dsaWgrAlZ0ooV9Y2Doic_Ob4is1REKK0JcGtJx0,7359
pandas/tests/io/formats/test_to_csv.py,sha256=WEquTcEWLULiVD1q7z5e1ssEFxDeg2xsm4rrbN1DPm4,8177
pandas/tests/io/formats/test_format.py,sha256=W66lt6c3rD8GnK6rGU0IyLIVF4xiNprOemCG3Vm3OeI,103145
pandas/tests/io/formats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/formats/test_eng_formatting.py,sha256=lBZKEWnT4azuY3djy3YAmdSkY0GcaBP2WWFfLtYdBMU,8085
pandas/tests/io/formats/test_to_latex.py,sha256=2s9M_qJdEgYF783djVr_1ZTo2IOzpTzcnCLrHrod610,15365
pandas/tests/io/formats/test_to_html.py,sha256=tpKEtwbDd7k5N0g5njxr7pjegVmVA6iNE4h0zzL9W-w,48009
pandas/tests/io/formats/test_to_excel.py,sha256=STGR7_rNH2WQc4rWxkaNQsktOxSSZVgKacDFP36dTGY,9076
pandas/tests/io/formats/test_css.py,sha256=JOZgSybrLflwA9adwjoO61gBboBnVcLSWV-B7fiYHaA,6275
pandas/tests/io/formats/data/unicode_series.csv,sha256=YSFU7qtqLEA5kQCgPUcW5WucAXepu2SM-LdiY1nAWXo,577
pandas/tests/io/msgpack/test_seq.py,sha256=QhKKyPgTOHUkDD5ojHTIdTlJ2fZhxcEw9PvqngocLgo,1171
pandas/tests/io/msgpack/test_read_size.py,sha256=Yfmnpk18uCKJB9dii7mFPRGdc166XU1zCc3B-w4JU0g,1870
pandas/tests/io/msgpack/test_pack.py,sha256=J8mhk0TC4cIB1maKaE8s6GNwCxc4-_n0i11gCEgJy2M,4928
pandas/tests/io/msgpack/test_except.py,sha256=LtmnHp9h3L1zAnSGqam2z9S3gryfqB72furNgi--HOI,1240
pandas/tests/io/msgpack/test_format.py,sha256=x5hgz_1uqrthOnKQM2Es8qUjBXekvFODHsAY11sQQPA,2882
pandas/tests/io/msgpack/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/msgpack/test_subtype.py,sha256=RfyAQTOduXpWr5uL1FmueLU5CJJbBEm65rdYe8fxd5o,396
pandas/tests/io/msgpack/test_sequnpack.py,sha256=EI0P8pCzvZMfztqMnIBsMTkVXOwuxn8PTaH3ATOU-QE,3074
pandas/tests/io/msgpack/test_unpack_raw.py,sha256=F8rvyK3UsHzruxPZ3gVWjF7c-cGfabu_6lVixIJC6fI,797
pandas/tests/io/msgpack/test_obj.py,sha256=8lDmM7ZWZf2BNnDp0barcjXPV2RtLzuO9xM-zevYG4w,2405
pandas/tests/io/msgpack/test_unpack.py,sha256=MzeBHCAhsR1BwGeuByripdJaiHH8ecgavnJwOjwry_0,1948
pandas/tests/io/msgpack/common.py,sha256=nBgaY8OnOv2eECWEtXsyqsHw_38ES5QiK6e7gUCkxEo,251
pandas/tests/io/msgpack/test_buffer.py,sha256=JJZUG_KWEfUhaMs1hRX0W76nBw_Eirkp-rfMqGUUOmQ,507
pandas/tests/io/msgpack/test_extension.py,sha256=Nyza1rguOjIfTpUBDxuyPXtl8RY0Nnts5RG1lhBZAfI,2204
pandas/tests/io/msgpack/test_limits.py,sha256=IdRFhVPlhHmGbt3tVwnatc3PGqN1mexrVVjJKvK74_c,3008
pandas/tests/io/msgpack/test_case.py,sha256=vdpiqjSfOmr3FJhScJLiU-cVOYluHSzHmrx69f0abaE,2740
pandas/tests/io/msgpack/test_newspec.py,sha256=sbc55nkxMFYeAtZw3aPNKY7xstBgAopMuWyaq-fyXIY,2650
pandas/tests/io/msgpack/data/frame.mp,sha256=PnR1m-hT9jWZbm4V2RH2rXiAnfo7bIWXmPh31jOlKsI,309
pandas/tests/io/sas/test_sas7bdat.py,sha256=v9UUw6z6r5XjgCRHTuW1T5Q7-nnyXk3CcKJW7yamoVU,6367
pandas/tests/io/sas/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/sas/test_xport.py,sha256=1Jhzg1cQPFJjohpcNniMcTfNrYLDLrY6-XX08HTGya8,4831
pandas/tests/io/sas/test_sas.py,sha256=M68cRsLVbFmQVaybKJ_Z3zDEzKP15C4dXbqdnlwrZ54,411
pandas/tests/io/sas/data/test3.sas7bdat,sha256=2aX6TRBVO-JsOEt-gQiBPiRmj1lffTI6Cp_pRadeszE,196608
pandas/tests/io/sas/data/SSHSV1_A.csv,sha256=hcI3wjP7NGffUsH_Lwju3mfgEdyZ7RFBAWPlEOBjTT8,9849
pandas/tests/io/sas/data/productsales.csv,sha256=1078gw3jM4DWjGs5qjpPGlLBd2nGEJzCo5R17SInhxg,87973
pandas/tests/io/sas/data/test7.sas7bdat,sha256=FFgLd80Hv4grhLqiah0nl1ocaDy9pLWqSkwrf7onTxo,131072
pandas/tests/io/sas/data/test_12659.csv,sha256=qKAF5UaP4F0RMWFVC2KLKXepw86sYAQ03ReYqa9cm0U,1670
pandas/tests/io/sas/data/test6.sas7bdat,sha256=vSrxveMhFFXZ9wxO0hAAMSqdM4oFhQ_0FNIyEruVsL4,196608
pandas/tests/io/sas/data/test_12659.sas7bdat,sha256=ydhQ4ib0oDGcpoDPe9zerSUwBRl-8BV8xqQG-sfvC4I,131072
pandas/tests/io/sas/data/test2.sas7bdat,sha256=UfqIETezsY08cmTUWzIKeqUaNipFovGz37bPKftBdZg,196608
pandas/tests/io/sas/data/productsales.sas7bdat,sha256=C3h8gdjSeVhzk0Us2UMf0lYn-YdMfMD3Fj0RxJvidzo,148480
pandas/tests/io/sas/data/test1.sas7bdat,sha256=qbOgz8y2_M6dN5f5X8VvhlwKq4yw2Sjv4ItaMSShzdw,131072
pandas/tests/io/sas/data/test12.sas7bdat,sha256=Sc5iwzHR8TS3fmj6G5xI7l9wZifrKwo3cAoC3cOzIU4,196608
pandas/tests/io/sas/data/datetime.sas7bdat,sha256=xQ3HyoNTD-IFIPVt-rrSK9XOQst4_vjl0RM7VzQsOiY,131072
pandas/tests/io/sas/data/test14.sas7bdat,sha256=Q53VUKsy5iAvaGW6TmRVUu550iC9CQuI8Ryue5tuCSE,196608
pandas/tests/io/sas/data/test_sas7bdat_2.csv,sha256=L4tsmKwtKYEFahH3bzU1KszmfN25H26jC2DDKwh-PW8,6298
pandas/tests/io/sas/data/datetime.csv,sha256=MNuDm3os-tPHLD1hGXnWnHFihAagMd4JMyqwvKy4Vwo,357
pandas/tests/io/sas/data/test8.sas7bdat,sha256=IC-Z79ZkHN-Apv90Y4HcxnywYKFrcTxVmslvZj4Ru_M,196608
pandas/tests/io/sas/data/DEMO_G.csv,sha256=LHKJpp2v_JqKqQTFhESFrIXaojCX7Maqip_ufCDYH-U,1334853
pandas/tests/io/sas/data/airline.csv,sha256=2OpBYcpoz60GjJWfE3YHeBYoBulOpSGYBSQaBjRyxOk,2601
pandas/tests/io/sas/data/test13.sas7bdat,sha256=K4cKRzRUQJPNi8fYlccion5aDYGfbOXM_UQqUORsXUk,131072
pandas/tests/io/sas/data/airline.sas7bdat,sha256=O74TwrgQpr0XZJHNOrgHoT7CeCmHWaPj0i5v69YZARI,5120
pandas/tests/io/sas/data/DRXFCD_G.xpt,sha256=hbqgj5BI5v43EyJoI56gDhPUCfSxh6eD2CGzybfkunk,2195200
pandas/tests/io/sas/data/test16.sas7bdat,sha256=t6gbJF5AACPHd_xSS6GnyKQ7CG-MPZpBTrQgcrSeLeU,73728
pandas/tests/io/sas/data/test10.sas7bdat,sha256=6DbpLahTPATt0LS1EvMXtmNCxGjyGrl0XDw97P1-YAU,131072
pandas/tests/io/sas/data/DRXFCD_G.csv,sha256=Wk3d4lX5iFfJ2O6NlPI7-L4XPZij5sMjbp1GOOxnIAs,751021
pandas/tests/io/sas/data/paxraw_d_short.csv,sha256=Niv67nNoXFI9RkIIm5BnLuXFaNM42hqJTeaQ4JJs788,2499
pandas/tests/io/sas/data/paxraw_d_short.xpt,sha256=NdAJYjQu5cpgQNDLPV8LKSiYP6T1MBHhX6xVTzEQQ34,6960
pandas/tests/io/sas/data/test5.sas7bdat,sha256=eyA_KFZSWbfTUCVoxhC0zeY_4S7miCnYvHNpqqul-ig,196608
pandas/tests/io/sas/data/test4.sas7bdat,sha256=VL3LMknJDyzFX5y0QwYfGbR0R20IIygrOHKfV00RjWg,131072
pandas/tests/io/sas/data/test9.sas7bdat,sha256=dpjYwZFx527y1hXi5rhrgAMX54VVPvVR5fB9ndYFN4Q,196608
pandas/tests/io/sas/data/test11.sas7bdat,sha256=6invf5eB9oa62KMy_vI98uhNQ5hmqoKKoH10HtZVczM,196608
pandas/tests/io/sas/data/SSHSV1_A.xpt,sha256=k8Fi5swN9i71eRv2WB_PC0xjXu4KGNESwrW1-VpuF8Y,23920
pandas/tests/io/sas/data/DEMO_G.xpt,sha256=6vBSXRlSYmiFrz6TVBWh9mrWLBhpgIDnNUeJwSWvJS0,3753760
pandas/tests/io/sas/data/test_sas7bdat_1.csv,sha256=h-drIYmlnMu1Az31EwCVpHC0wSCNqMI4mjvUtbV5SSU,5406
pandas/tests/io/sas/data/test15.sas7bdat,sha256=O-IpH9MRsTg1FuVFCcto_u_4K9vn7ZW6XneBrlkdM_M,196608
pandas/tests/io/json/test_ujson.py,sha256=z4lUNvpsYy3yoni0rAHZbLpUgpwRtRkZblCK--Uoano,55996
pandas/tests/io/json/test_normalize.py,sha256=Lj3Ii0b_XZnK4Z9lio9rrRGg6Eto2l8sQmfGMuoBVKU,12056
pandas/tests/io/json/test_readlines.py,sha256=1MIYS8RuLQk0t_tgc3aSqCf6onJAyMSjYyBx-U6TwEo,5693
pandas/tests/io/json/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/io/json/test_json_table_schema.py,sha256=nlQCHQwJd4F9bmAg8t5fOMQrc6Umee7uxnmC6XhjICg,18731
pandas/tests/io/json/test_pandas.py,sha256=2nDWIkIvgYgG8o9ws7hrLWOxcFDBqefeJQJKTN4IT1E,47044
pandas/tests/io/json/test_compression.py,sha256=UgUuWlH9AHZEkss5rxAP1JSYvP3kuFkNrDbGMnB5pu8,4621
pandas/tests/io/json/data/tsframe_v012.json,sha256=yw4VKnclh94o_PZxXoCO2i38oqhPbcEc6Bbog8Z9kUs,1081
pandas/tests/io/json/data/tsframe_v012.json.zip,sha256=KKObYoz8FKX-2NY65JQxRfKsiXnDXH3zWfxRKplV-88,436
pandas/tests/io/json/data/tsframe_iso_v012.json,sha256=VBVGfLhoq83_zlYGhOJ1_wVekx_fawPdPR_DokVOvRU,948
pandas/tests/io/data/stata3_115.dta,sha256=eeUgxK-gkG-KTZkrAjczp5uL2KrfAhngy0QhSFLLHmU,13255
pandas/tests/io/data/test_index_name_pre17.xls,sha256=H40OFsFIDK6bxkRN7QwkGtOX5bpSO9MqIDP8hWMMvo8,26624
pandas/tests/io/data/test1.xls,sha256=B_6LyIW6CLIUy8GWL698JXZOIYxt3cR4tO8ygWeDOHM,30720
pandas/tests/io/data/test_types.xlsx,sha256=cnLZgFMEO_tEh5wUUiLevDs4bkUn1_LdLfpGBdCUX0E,33769
pandas/tests/io/data/test5.xlsx,sha256=Cq8EeCWGtVGD_QV1qhqwkczye_4_Rp6jrmsSCeHZiXk,8002
pandas/tests/io/data/stata5_117.dta,sha256=iEfFNhU92pJTgDG51GG-2aVdOySvUDVvSKt0JGZV2YE,5366
pandas/tests/io/data/stata15.dta,sha256=HxFAAoLJr8i7vrVieIPc4xprqDV---o4SoGmtQRDJ3k,3183
pandas/tests/io/data/test4.xlsm,sha256=l-Tl5P_0qpHA1khxnDEd8YZ-aHCL-nKkHNCzedMDehE,8022
pandas/tests/io/data/test2.xlsm,sha256=6y-ZBpZkVGbCjyoj3Br3WHjf3fFWXbzwR_EiwbjlJ6o,8086
pandas/tests/io/data/testmultiindex.xls,sha256=NLyFtIVdWkPKgfLRG7n0ZBPrSjMB5v422k8bIBFzipA,28672
pandas/tests/io/data/stata2_117.dta,sha256=EYJk7cwE5PtSkou43IHyJ1ZH4-F1t4EGKpZiv0DiKe0,2228
pandas/tests/io/data/stata6_117.dta,sha256=vuvV5hnWSStbreEjAYuR42cBgiX94SXoD2eXfwwHB1k,3490
pandas/tests/io/data/stata2_114.dta,sha256=mOOxEyH_TZNmI-gGxyBZlWrea7AgOCulstV4sHKWuJ8,1786
pandas/tests/io/data/spam.html,sha256=aa2jG8GdhJI8LzaXFM8Pe18RZNIC6YdajPoZO7E-nK8,28343
pandas/tests/io/data/tips.csv,sha256=IkFarx5W5nW5oJg8sNMhaX2tUfYGCkT7jsqtegDemgk,7943
pandas/tests/io/data/times_1900.xls,sha256=a4WnWO6fhNz5eqZx8nEnLF-hFf1xDig53_zeGIme5ME,16384
pandas/tests/io/data/blank_with_header.xlsm,sha256=KQ4WTg0QY8ThkLtXPKN068Rk6qik6rpEsz6gR5JwMJg,8813
pandas/tests/io/data/computer_sales_page.html,sha256=XjBIrerIPc0rb_PiaPbywMwycIP_Exxqga0ala3IsWA,48879
pandas/tests/io/data/stata4_114.dta,sha256=j8d-lJF0aCkQS5zspClgMC6yPwjGdQPBzGjQUSYdIsM,1713
pandas/tests/io/data/testdateoverflow.xlsm,sha256=tdSUKk2QsZHxr_54Dq7YfSk69bUPl07OD0bA01-BZIQ,9374
pandas/tests/io/data/valid_markup.html,sha256=d-Q53tj1VlSgJKvekMjalnpgJCZmEq5yNI2SQ0wYLbY,1672
pandas/tests/io/data/test3.xlsm,sha256=CoZPIhRxWlo6Snd6KQCwJgucEJYOVJGVZbRcYOfBN58,8063
pandas/tests/io/data/times_1904.xlsx,sha256=khpZFsQuk4Pmq8h-j5-YQFHkBojYbRnjIAGVSsdYmeU,8244
pandas/tests/io/data/testdateoverflow.xls,sha256=fOwauUjIAvcveeaHmjuKNKqEe4exhdnB3usP0jMuEqw,19456
pandas/tests/io/data/blank.xlsx,sha256=PdL8fqGXxlukUDPqA8mUHHMQuFsXaCIwXsmBmkHCiIE,8379
pandas/tests/io/data/stata13_dates.dta,sha256=Cc8LszeGJbPQO9-YCKAC9rKHd4BKCI-1tG3FUWgemYY,3386
pandas/tests/io/data/stata11_115.dta,sha256=3Qe99ErFIKVWzzJ0PThtNn-ZCYkuYKseWK2FSQ3luiY,810
pandas/tests/io/data/blank_with_header.xlsx,sha256=V1rP9RC0QMeNso6scg8agjf97akfrPTzNo8VeJtXAEw,8773
pandas/tests/io/data/stata8_115.dta,sha256=z6L7Dc2TivYd9KVTIYlpFTc3826qtO2pYIBTVXJdrLc,1624
pandas/tests/io/data/testmultiindex.xlsx,sha256=RsOc6cUkqjJg7fSFhn7z-_fcUunnivvy61SxgSujtTI,16135
pandas/tests/io/data/test2.xls,sha256=0N4QEjYDgjLIMqWcbQSV4u77zEdHkjuAXo6Vk_P4nZM,5632
pandas/tests/io/data/stata5.csv,sha256=K_Qa9IzTBMgbuaRumv5s2fv3QQA3uVnw5Mv93DiVT64,1319
pandas/tests/io/data/stata2_113.dta,sha256=atPm7as0Y2muVSFP9aYwrE78aShedA48TLWYupzroEg,1490
pandas/tests/io/data/stata8_113.dta,sha256=dMkdq_JPycZ8G0pJLYf1gqWu0XQDFntTASibzZkugzI,1439
pandas/tests/io/data/stata3_117.dta,sha256=zh_k687QWV0cHTMTE4qtKb_96AjJp503SCdvxNOPUJg,13703
pandas/tests/io/data/stata7_115.dta,sha256=GgeNnd2yRRTJOC6fq4oMKRr3xLCWw8v6Wc7Kc5_sj5g,722
pandas/tests/io/data/test_squeeze.xls,sha256=jyFDdcPT7dPSLt17VpPJVrC6JwkpeKgYbcF8B52BTwo,26112
pandas/tests/io/data/times_1904.xlsm,sha256=NFQKlvyr49RCS3e8ktswGRe1Mr_Op_SnPsISNqSezbk,8260
pandas/tests/io/data/stata9_117.dta,sha256=DQ8X219hg27kk6iK4enFpTDZqEljG5SpVfEVcIKAIr4,2342
pandas/tests/io/data/stata1_encoding.dta,sha256=iuv62lei13Qu_3amsSV8Kwcf56e1LWl3TubDlSQwLxQ,3507
pandas/tests/io/data/stata9_115.dta,sha256=DQ8X219hg27kk6iK4enFpTDZqEljG5SpVfEVcIKAIr4,2342
pandas/tests/io/data/nyse_wsj.html,sha256=SrVCWCMzzZmcA_66XbLg7hDdXB48CeRJ9UHCvwsUUlY,62155
pandas/tests/io/data/blank_with_header.xls,sha256=Oza8V91zVjgx25zcOSxCEYM7-Cde3aPpsPsHT7OG7Es,23040
pandas/tests/io/data/iris.csv,sha256=kE15GzCKp5v08GZp9jvj8aszGiO9UIBRBl4A9wD1c_k,4600
pandas/tests/io/data/test_types.xls,sha256=Nu1LrmRiBQWLbThnKHNjqxZZgn-zQIEBq_KaFCMcY-I,26112
pandas/tests/io/data/test3.xls,sha256=PK2iiSAU128cpCZGpe_vvA9MNOn3ks4kRC0yD3Io3dE,23040
pandas/tests/io/data/stata6_113.dta,sha256=QBiGdjjEocArfGK6IHWwr22xrcSZ_PNKtkQGJHInjTQ,2752
pandas/tests/io/data/test_types.xlsm,sha256=rbXrN3Jkm6k2vn-wx7UJokXYC4Ej9WPJ_2zQU_5ezqA,8733
pandas/tests/io/data/S4_EDUC1.dta,sha256=KAqlFl9Drr8kfOYdoU1KAkr64PDkDA-sFUHnJOJvl9w,2997
pandas/tests/io/data/stata12_117.dta,sha256=lr4xDThumt-WzeKxj5RkZkj7kVSMwBm8Jpm86RU3c_A,1285
pandas/tests/io/data/stata14_118.dta,sha256=N1SHU-atw4FrquO-REJ7SYdilahPGlZMXL3-2AE56sY,5556
pandas/tests/io/data/stata6.csv,sha256=xx55eGgcIXLEsr6Sa1su1vJN8IY_PCzyaNKnCy1pRVM,585
pandas/tests/io/data/stata10_117.dta,sha256=j6JQMtiR5duZ4KdqZzlJjP7ma2h0rVE5ICBBBI2MhjA,2298
pandas/tests/io/data/gbq_fake_job.txt,sha256=fVOH9a5RUoTsLCX9losXtAus4FrKvui1l674-HtwqBk,946
pandas/tests/io/data/test4.xls,sha256=XmwL1zPTuw2yIQWvBFdzT89Yg-VcSWJ3waTCOBiW_B4,25600
pandas/tests/io/data/stata1_114.dta,sha256=BqDWGqR2JOVEqy8xrmyFj071kc-PujilaVJ27bE9Pss,1130
pandas/tests/io/data/test_multisheet.xlsx,sha256=X0CwzRnWEyYRRXUeI1mxZxRMzMwLyyRPn7L13CeUNvo,11131
pandas/tests/io/data/test_squeeze.xlsx,sha256=Oj-DAkdALQgdvmdkUDt827Dt6Ze7naAUxGAnnZjlvhc,8972
pandas/tests/io/data/stata6_115.dta,sha256=-3o3aZZeLkkhP_nWJu4VOgNeDxub-eFSyaBkjDFwK3E,3048
pandas/tests/io/data/stata10_115.dta,sha256=j6JQMtiR5duZ4KdqZzlJjP7ma2h0rVE5ICBBBI2MhjA,2298
pandas/tests/io/data/test_converters.xls,sha256=9Bxo9U3cJbIZVPTdXA1s3oCzfYdmPfERzVt_vjbwvEo,6144
pandas/tests/io/data/stata3.csv,sha256=2TwNOnp374PDrxTkYDK7HQKuOlErIquUFZqMoib89wg,17829
pandas/tests/io/data/stata2_115.dta,sha256=MJl3dWPMBd67wqLWkOp34nz3E3eijRFjad_L4apquNo,1786
pandas/tests/io/data/stata8_117.dta,sha256=swzEhQmF8ER2BPaq4OdW1FPFOl1kChHnDmhOKrYu28s,2063
pandas/tests/io/data/test_multisheet.xlsm,sha256=MiyKiJk0ijIkrIbhuCzPJ-rgXfaq5bUfhBIkJug5Uw8,11148
pandas/tests/io/data/test4.xlsx,sha256=MmoMzJ_paI972kljm0o3Tp4cmYRB2jP5LBpiO3Wdop0,28216
pandas/tests/io/data/test_multisheet.xls,sha256=vr4Ag4Qi6mHhkGjAGF4Ie6D7QYxPsT1PQYz-XwBAgfI,24576
pandas/tests/io/data/stata5_113.dta,sha256=U9gVRRZuXOCRo3cJ8MCeNftx6EOCkTU-nKRl9OZid5s,4628
pandas/tests/io/data/test_converters.xlsx,sha256=eT9MaaoggNU3k6heY3PAeQXFzg-SA86YZ1x9m19pBC8,4810
pandas/tests/io/data/test3.xlsx,sha256=tWg6mYq-lXPIJUiIN2MYQmQt7QiW9ZITyAbi9Nh4yoc,8045
pandas/tests/io/data/banklist.csv,sha256=sz8kQ-csUu0CyPm71JadaVkDc_dcGw87B-NpMSfEhCM,41417
pandas/tests/io/data/categorical_0_15_2.pickle,sha256=is1dul7xkWWMhgkmJthVGxNBRa_pkY6KsIq6FdV5BVw,392
pandas/tests/io/data/blank.xls,sha256=wuWdujNy_NMezolDRpk_Xa6LIyyB3RBKreUhlgjWdTA,23040
pandas/tests/io/data/test2.xlsx,sha256=GRCmB0e9GlK_0EaXP_XfKoO8v1cZmSDymqwGBunyHO8,8067
pandas/tests/io/data/test_converters.xlsm,sha256=-1P5yAZsRfbBj2VyC3S5UMvobboAQoQlQyaxwoqWT-8,8467
pandas/tests/io/data/fixed_width_format.txt,sha256=KRJHKQdxeXV4qyPuepdgcsB1A9ZFRLxrXzqMG07-EqA,30
pandas/tests/io/data/stata4_113.dta,sha256=1lHTU1W_QTNCSfMs-ilehBtH0yGgnOIyYu1bKeVgZkM,1528
pandas/tests/io/data/testdateoverflow.xlsx,sha256=16_DVP9h0jeJtXDcQhVPR-rwkJb-BjvumYyZXtLbEkg,9351
pandas/tests/io/data/stata11_117.dta,sha256=JNQViYdw_IVOmpJkGUzg6H2l4p03DvW2VHom5Kmtw24,1268
pandas/tests/io/data/test5.xlsm,sha256=UwDvKIZMhynLWPHP8SNjfkrqNjw4T51XkUw6x7xLAcU,8017
pandas/tests/io/data/test_mmap.csv,sha256=k8ALc56NY3iBQb9sdWYz-CwtGqmRq6mOlaxjYvjiFj0,36
pandas/tests/io/data/test5.xls,sha256=kXguYf3_IgjnR1EtKyWK2s6woHEmgfLGuK_XhHs708I,20480
pandas/tests/io/data/stata3_114.dta,sha256=zVSRVduL-pxTDNFoNmxS_wY-NXwNUg7eS3d1Yte27t8,13255
pandas/tests/io/data/test1.xlsx,sha256=do5ZNPMInJC3DXHhHNt5Mg_zRNAyQ7gFbdCx9MmewTk,44929
pandas/tests/io/data/stata3_113.dta,sha256=yoyzOaWJkrShKmmhEqKN-tLolJtPyThwNszqn1UrOSg,12737
pandas/tests/io/data/testmultiindex.xlsm,sha256=eQ0GrjUko7rgyhXt2S2ua1X_-QXNBloc5Wp3nlaZVD0,16249
pandas/tests/io/data/testskiprows.xlsx,sha256=6H7vAJXxix3wvzVvdTLYzV2NIreln8qM3Ya1Wn3FKpY,8258
pandas/tests/io/data/stata7_111.dta,sha256=7Z-kwfzDRMoObvlnXwkBkwDOuC427RYZb3RRlGpY8bE,1024
pandas/tests/io/data/stata6_114.dta,sha256=TZofMGkD9yv_RRUtjMPpSFKAy946S2G6Z5cecmbgY2Q,3048
pandas/tests/io/data/test_index_name_pre17.xlsm,sha256=maAfgX9Dbe9q3WKO033qQlWbylKlR6vNUgCA1djIbHs,10896
pandas/tests/io/data/test_squeeze.xlsm,sha256=MSJax3yA4EAm_yVgKSzvEb2f66Bfseg3CyqBMzXtZqY,8990
pandas/tests/io/data/wikipedia_states.html,sha256=G1T3ZuMhmTPmqooFH89f70rr-2CFhRDDUvdJM1pjZAk,151218
pandas/tests/io/data/banklist.html,sha256=NK6htrYeHOAUXZ_g7D8_KHXpY6acD8BKPVSshUruk6s,187958
pandas/tests/io/data/blank.xlsm,sha256=SupLwRPnQXf18W92uh3kPiN_mnndb8d8WzCdBZUaE6E,8418
pandas/tests/io/data/times_1900.xlsx,sha256=58DoCqrrCU8whR5m39CkGaaQDGhD9dkezecNhJg7B6o,8266
pandas/tests/io/data/stata5_115.dta,sha256=NQ4ZqKQlnWtS_a9PYDOn0aKxLKjcGbO65HSU6qCwRP0,4924
pandas/tests/io/data/macau.html,sha256=nabHngo8G_PztiIOwNVWZiWfxeyekHICVp7I5MMf4Yg,68145
pandas/tests/io/data/times_1900.xlsm,sha256=HXi8INGtYesNyRi6YzjauI2h6wg5bT6n8B4RsBCRDZI,8282
pandas/tests/io/data/testdtype.xlsx,sha256=SWmA80nNIllj9XWAYUWHYvyYWmXmRlD7XV1kpKLm7t0,8501
pandas/tests/io/data/testdtype.xlsm,sha256=YBRSH05M0FjbHTI08cbgNqVAWdhq5AqUBRZ02oFMSf8,8517
pandas/tests/io/data/test_index_name_pre17.xlsx,sha256=vUZyzSwhYh8YFkeO8sq_jBUaJMM6sKoXRY8GMgvxVKE,10879
pandas/tests/io/data/testskiprows.xlsm,sha256=ufiZ6qXhKAYh3KdesSb933Qt0wihq0kze9O2JmkHkho,8281
pandas/tests/io/data/categorical_0_14_1.pickle,sha256=uMaJDGBwZpfpzKFYO45LaVJ3qLzYLWfbsRzgVx2uW4Q,652
pandas/tests/io/data/stata7_117.dta,sha256=Q0RKEY22Lg2-MwVQjXrX6O5aPEc4__HQX2O9BRVBkBM,1159
pandas/tests/io/data/stata5_114.dta,sha256=uhqX1c9fZu_HZKONET68L-MrU8UXB4elh8tU4yrJO0k,4924
pandas/tests/io/data/test1.csv,sha256=fBaJzySWatvGiHdejHVQtgb9ICoOwNIGiMwhZsEwDGs,570
pandas/tests/io/data/test1.xlsm,sha256=aQhQfHueKLVdqne8sSRDh8kzQF6Fs0Z8O4FT7YyYmXs,45056
pandas/tests/io/data/testdtype.xls,sha256=QtOiOzNbZLOBb7roS5zfZA2Dh2MiFUBg_yZqlpEZvqA,22528
pandas/tests/io/data/times_1904.xls,sha256=0MGL7hphwju1fVIjeDpQv6MMl3qAXe3ZWen5f1D2c20,16384
pandas/tests/io/data/stata4_117.dta,sha256=eGZnP2JRiXUigXydblHIhqXGwPaF-nwajYAN5DMkzFs,2185
pandas/tests/io/data/stata4_115.dta,sha256=R5vXs4E0LXnquMfa2p3KZ4zqzeV9apd6nJOZaALLy-E,1713
pandas/tests/io/data/testskiprows.xls,sha256=BSu_akzsICb-iaUql7wE3rPo_ufi9BX3S_T1oluxvrQ,22528
pandas/tests/io/data/stata1_117.dta,sha256=Z0GTALCTZaQtZQxQYmMDrNoHttdWl-JJavg6NN5XkuI,1569
pandas/tests/io/data/legacy_hdf/pytables_native2.h5,sha256=PHXxyCi6lKWMtAqWHPfvMapTQ_uNRRM6mODqjExnYlM,12336
pandas/tests/io/data/legacy_hdf/datetimetz_object.h5,sha256=2Jl0EXXaGJF0XPl5NOYOZUcHM-Lui-jTYBGWknOMKEY,106271
pandas/tests/io/data/legacy_hdf/pytables_native.h5,sha256=7ps9KPi3x0iknef_NNBiiqYuPSslqNJDCVb9pqv0n-8,74246
pandas/tests/io/data/legacy_hdf/legacy_table.h5,sha256=6kQ-piMo4QGDKhlDV2sZj-2iGv6ySSICI9NSeT1Uu5A,211111
pandas/tests/io/data/legacy_hdf/periodindex_0.20.1_x86_64_darwin_2.7.13.h5,sha256=lxhpG0-jIycd23xs1fllh9UtX-1masM36-avDDGNfqk,7312
pandas/tests/io/data/html_encoding/chinese_utf-32.html,sha256=v3-7TWgm3llDvHtwzOBCwQDcXF7l1GTtQB2O20LYQa8,1648
pandas/tests/io/data/html_encoding/letz_latin1.html,sha256=UXak2tA1qxwx2v6zldaxTFT1q7rXGj_ULHMkbvgxWrw,417
pandas/tests/io/data/html_encoding/chinese_utf-16.html,sha256=XJqsb5Pq8jt4xIdKN2KbMWdE9Y3Uw4JUQKuODT5tjiw,824
pandas/tests/io/data/html_encoding/chinese_utf-8.html,sha256=pjbUU4GUPdS0_Bd-VE8Od6FwUJpCxRAz8NT0YSDbIec,447
pandas/tests/io/data/legacy_pickle/0.12.0/0.12.0_AMD64_windows_2.7.3.pickle,sha256=WuE-Tke5q34DCm0B_rVCweHDIZQJA1kzmKUQkTGAFA4,8692
pandas/tests/io/data/legacy_pickle/0.12.0/0.12.0_x86_64_linux_2.7.3.pickle,sha256=0AJFQrG5dq0U_R2A9_Hn3hX6I7Sa4r75A4jQAyLN3ss,8768
pandas/tests/io/data/legacy_pickle/0.19.2/0.19.2_x86_64_darwin_2.7.12.pickle,sha256=ChUq-Pj2-fGm5BiPCkIGTGuDArGWPq_ZkXlssHhXXqw,127525
pandas/tests/io/data/legacy_pickle/0.19.2/0.19.2_x86_64_darwin_3.6.1.pickle,sha256=RejyvPDd2rSKyqnJIrNPOGinq-ZdAxsUlaZaK-vEyTU,126076
pandas/tests/io/data/legacy_pickle/0.19.2/0.19.2_x86_64_darwin_2.7.14.pickle,sha256=w7I1aFfgqqAkfVLkbSXRK3wK9dFGHvBq1DpzNh4LPls,132762
pandas/tests/io/data/legacy_pickle/0.10.1/x86_64_linux_2.7.3.pickle,sha256=NFJKVPXmZbB2DFuuqJD18wJid_NkTLpy2Cm8BWrYSe8,4338
pandas/tests/io/data/legacy_pickle/0.10.1/AMD64_windows_2.7.3.pickle,sha256=_JojgOy7oZP-EFCxE9MjUONN3qlj8ZEHrDE-KhjIf64,4381
pandas/tests/io/data/legacy_pickle/0.15.2/0.15.2_x86_64_darwin_2.7.9.pickle,sha256=WKWYBxD9CgIkuthRGz2ubpQy-OXOSO0Y-LNENN8CVbg,14892
pandas/tests/io/data/legacy_pickle/0.14.1/0.14.1_x86_64_darwin_2.7.12.pickle,sha256=Nmwep_T4OSO1dFx2woqvCOcVR3XR5MI4MQxG5aJXXaY,191074
pandas/tests/io/data/legacy_pickle/0.14.1/0.14.1_x86_64_linux_2.7.8.pickle,sha256=BNbqP0gwA1qW5t-N9awWQHLG_772jcFhNiMfiEFwn8I,11930
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_x86_64_darwin_2.7.6.pickle,sha256=K5KQCk1fPQtu_pkTv30ERnYVYDV6ok8GhwtMfN80QjY,7445
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_2.7.8.pickle,sha256=Cz9Ee3r-_Yla154L07NAomXknavrVqAxSFrnOXi-72U,7639
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_AMD64_windows_2.7.3.pickle,sha256=8dme8wMBnUnabyY2WMuc-eWRVGSgqkNdLrlg5cWLLhE,7208
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_3.3.0.pickle,sha256=P4TVpIjaLIIlbSgw0od49ck8073Jg37nIKKhvtRunbE,10049
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_2.7.3.pickle,sha256=r7Q1Ab7URcBjrCt23ERNMmLf18GKlNEq6Q0Z2JcN_gs,7278
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_i686_linux_3.2.3.pickle,sha256=_vzJ0GU9ERFOMBmkEZs0mXHsUAgl8DqrHD0lRjZ5fLs,10019
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_x86_64_darwin_2.7.5.pickle,sha256=r7Q1Ab7URcBjrCt23ERNMmLf18GKlNEq6Q0Z2JcN_gs,7278
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_i686_linux_2.6.5.pickle,sha256=DoUAn3duzCGCQ5W6VU75v7TvEtbx_Jrr1YTADeOWnEw,7143
pandas/tests/io/data/legacy_pickle/0.13.0/0.13.0_i686_linux_2.7.3.pickle,sha256=UiRFwjLG9JRDoJAE-bXkhA9rl9LHjIMepq5yELA2AxI,7123
pandas/tests/io/data/legacy_pickle/0.11.0/x86_64_linux_2.7.3.pickle,sha256=NFJKVPXmZbB2DFuuqJD18wJid_NkTLpy2Cm8BWrYSe8,4338
pandas/tests/io/data/legacy_pickle/0.11.0/0.11.0_x86_64_linux_3.3.0.pickle,sha256=1Jd-rQ07radbp31gtXPl5XOVAQxhtwG7w0pXlkLK7iM,8978
pandas/tests/io/data/legacy_pickle/0.11.0/x86_64_linux_3.3.0.pickle,sha256=FogZ2RMaEy1UduHXppQJMkYj33cisFwYgFyioCVpUBs,5822
pandas/tests/io/data/legacy_pickle/0.20.3/0.20.3_x86_64_darwin_2.7.14.pickle,sha256=a56J3F9_DSBlNDKK3I9ZZGK2gKeOOMRi9fUSZeFkouw,132857
pandas/tests/io/data/legacy_pickle/0.17.1/0.17.1_AMD64_windows_2.7.11.pickle,sha256=l7Tp_0m-59BqUOtiMixBfHWiu6n9p6-sfHPHkb8QS84,18269
pandas/tests/io/data/legacy_pickle/0.17.1/0.17.1_x86_64_darwin_2.7.11.pickle,sha256=B1dLl4AEbNQcleKYHrqjsBPuxoYeC2W6pE3krOguZN4,18089
pandas/tests/io/data/legacy_pickle/0.14.0/0.14.0_x86_64_darwin_2.7.6.pickle,sha256=Pz_wvsm3QBFfrESg3vUmgoIJRDlaRMn448A3wcJuiAk,8159
pandas/tests/io/data/legacy_pickle/0.14.0/0.14.0_x86_64_linux_2.7.8.pickle,sha256=vwd9ruPTIKECbvb1rJt69ehj0Rm2ked0pIjjiG-HnFQ,9309
pandas/tests/io/data/legacy_pickle/0.16.0/0.16.0_x86_64_darwin_2.7.9.pickle,sha256=4Cq3EBt4zDkQolqNWqjxI7WPskUM4RnoLFdzg2ERY9k,15013
pandas/tests/io/data/legacy_pickle/0.18.0/0.18.0_AMD64_windows_2.7.11.pickle,sha256=_8twoxr0ewgcfRu0o3tMIUozgbRJ78mwlxNxkak-KJ4,16875
pandas/tests/io/data/legacy_pickle/0.18.0/0.18.0_x86_64_darwin_2.7.11.pickle,sha256=9Gn5t7FsisOc9a66vdRDDvylVDTf6d4Ssg82q6rOC20,16718
pandas/tests/io/data/legacy_pickle/0.18.0/0.18.0_x86_64_darwin_3.5.1.pickle,sha256=CCFz6gS88-R3Bvc0PSRNJCP1X3iGle4YX1ofRk9zr1E,14671
pandas/tests/io/data/legacy_pickle/0.18.0/0.18.0_AMD64_windows_3.5.1.pickle,sha256=CNTlO0orwxcJZa1u723nsXxI-sopkAGBRPuPnUEI7N0,14674
pandas/tests/io/data/legacy_pickle/0.15.0/0.15.0_x86_64_linux_2.7.8.pickle,sha256=mgbtviSVVGr7XnqICRXaZxfNQQpo9hrid6vENVsyriQ,15162
pandas/tests/io/data/legacy_pickle/0.15.0/0.15.0_x86_64_darwin_2.7.12.pickle,sha256=wT6b01ZwH0fe7KZv5EMzO-xhLaR2fjCCVVbtDUUKFdQ,127687
pandas/tests/io/data/legacy_pickle/0.18.1/0.18.1_x86_64_darwin_3.5.2.pickle,sha256=IH5yMCRuL4VKaiWFad1tYlUAafy098JfinAheDsNJmo,127853
pandas/tests/io/data/legacy_pickle/0.18.1/0.18.1_x86_64_darwin_2.7.12.pickle,sha256=qiuUwwNg6a1o-YweD33O_HyKc8SDGhWqHPqhUqwFLuA,127584
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_x86_64_linux_3.4.4.pickle,sha256=nsJTTR2-Zu1sLRdHiOG1sOMoEd9QdpRQ8WUjxo53BV4,16581
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_AMD64_windows_3.4.4.pickle,sha256=W2wanfymHEPoZGDBMNaRrs8KvCEpjBq9t8Mji0r7UI0,16236
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_x86_64_linux_2.7.11.pickle,sha256=B1dLl4AEbNQcleKYHrqjsBPuxoYeC2W6pE3krOguZN4,18089
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_x86_64_darwin_3.4.4.pickle,sha256=CqPSnTyohl-8qif1_qD-D13RUbK4FRCv0qppM9fRJ-Q,16026
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_AMD64_windows_2.7.11.pickle,sha256=l7Tp_0m-59BqUOtiMixBfHWiu6n9p6-sfHPHkb8QS84,18269
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_x86_64_darwin_3.5.3.pickle,sha256=y4uhZlKFvuEewOd3OWsAoa6V3_8o9nlN5p535vO-3bk,129175
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_x86_64_darwin_2.7.11.pickle,sha256=B1dLl4AEbNQcleKYHrqjsBPuxoYeC2W6pE3krOguZN4,18089
pandas/tests/io/data/legacy_pickle/0.17.0/0.17.1_AMD64_windows_2.7.11.pickle,sha256=l7Tp_0m-59BqUOtiMixBfHWiu6n9p6-sfHPHkb8QS84,18269
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_x86_64_darwin_3.4.3.pickle,sha256=1CBXZCh8CXHSmjjpXmMntk_rMdwfhYDJjnBGGb6JWpU,15444
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_x86_64_linux_2.7.10.pickle,sha256=gLPqHHpQ209CXd7VhLIxvjYQ9W38PXkeC3phSIAKS30,14893
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_x86_64_darwin_2.7.9.pickle,sha256=4Cq3EBt4zDkQolqNWqjxI7WPskUM4RnoLFdzg2ERY9k,15013
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_x86_64_linux_3.4.3.pickle,sha256=qZuVViBxmdSOzbf5R9RMQS8AED0ciYwDnI0n7tcfVmg,14116
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_x86_64_darwin_2.7.10.pickle,sha256=asDt517VzTYdqS9_07sfhpl0P8fjGxU2BS3EEqTYV9w,16598
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_AMD64_windows_3.4.3.pickle,sha256=eBqSxpW75M5NWKk_XkWfR6j7WxxOVCXtpS5kIsFzxSk,13766
pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_AMD64_windows_2.7.10.pickle,sha256=iycLSNjPxeHaX5DdqeMz9dtkegkdSUNpmDdSN234z4U,15173
pandas/tests/io/data/legacy_msgpack/0.19.2/0.19.2_x86_64_darwin_3.6.1.msgpack,sha256=A74f39UaUgq0LCMgr5CQDRaXOGSbFezzchWKI5Q0gxA,119196
pandas/tests/io/data/legacy_msgpack/0.19.2/0.19.2_x86_64_darwin_2.7.12.msgpack,sha256=EUO8AhZ188ZmIdXyFpDMmCB2w-7kxF3G5UE0_7WQqyA,12325
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_AMD64_windows_3.5.1.msgpack,sha256=vx-6dxC7ZB0EK0KRm5C_kDfE3nNg43HjU-2po7x4Yfo,9300
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_x86_64_darwin_3.5.1.msgpack,sha256=2PkDoCd_FR_DGn7eCahgpjIXg9BBf8wyDBFKmznjZXw,9300
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_x86_64_darwin_2.7.11.msgpack,sha256=_LLc2hLf4_AXGG6twltlSZLrZoXywN1E7UwwJtwMsyI,11323
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_AMD64_windows_2.7.11.msgpack,sha256=KDG8mVl0c-aeOUfF5RoMrCWKIdH-h-drK69WILhbVUY,10177
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_x86_64_linux_2.7.11.msgpack,sha256=nz_KeWEAolTOvHviExKVSL4wHEUWptcgTN3swFm7OuU,10307
pandas/tests/io/data/legacy_msgpack/0.17.1/0.17.1_x86_64_linux_3.4.4.msgpack,sha256=Vb57rrF8PlRkrlWhFze0m05q7nX1DvFANKeOo6C5bNE,9300
pandas/tests/io/data/legacy_msgpack/0.16.0/0.16.0_x86_64_darwin_2.7.9.msgpack,sha256=HsYMRVOPMIki5HCFNkYJAqz7EobrAQG5xBPfp_96pwg,4445
pandas/tests/io/data/legacy_msgpack/0.18.0/0.18.0_AMD64_windows_3.5.1.msgpack,sha256=NNfpBfyEQvvgeFfJ18keMBLcaf0WAU6mnQxFqH_1eSI,8341
pandas/tests/io/data/legacy_msgpack/0.18.0/0.18.0_AMD64_windows_2.7.11.msgpack,sha256=WUmbvv8zVi3KXo8cmwMkiCAx1LMvgsbqkeYmgq2NgLM,8386
pandas/tests/io/data/legacy_msgpack/0.18.0/0.18.0_x86_64_darwin_3.5.1.msgpack,sha256=ZRKZJcSxjyAoc_Ychj6PEC7LvPxQYlA1-tcqVBwW8q8,8341
pandas/tests/io/data/legacy_msgpack/0.18.0/0.18.0_x86_64_darwin_2.7.11.msgpack,sha256=Y7K_c4IM1_xwCgJlVNV3ErNJJi7Bl8D6OgD0y0d9urc,8386
pandas/tests/io/data/legacy_msgpack/0.18.1/0.18.1_x86_64_darwin_2.7.12.msgpack,sha256=10iQy7O-LHVySMVtSaZRcr7DMgcHTdtLEQO3xSkh58w,119258
pandas/tests/io/data/legacy_msgpack/0.18.1/0.18.1_x86_64_darwin_3.5.2.msgpack,sha256=rBPWzvjDaZScR9uHWsBdgpTu51lLVb6HrmVwh8pFw_c,119206
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_x86_64_linux_2.7.11.msgpack,sha256=RFo21kS05wtiu8DzHSDA--zSaoKMyNLUWFm5nQUyvys,10177
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.1_AMD64_windows_3.5.1.msgpack,sha256=vx-6dxC7ZB0EK0KRm5C_kDfE3nNg43HjU-2po7x4Yfo,9300
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_AMD64_windows_2.7.11.msgpack,sha256=KDG8mVl0c-aeOUfF5RoMrCWKIdH-h-drK69WILhbVUY,10177
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.1_AMD64_windows_2.7.11.msgpack,sha256=KDG8mVl0c-aeOUfF5RoMrCWKIdH-h-drK69WILhbVUY,10177
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_x86_64_linux_3.4.4.msgpack,sha256=jQkMlIbsnHpveVAULAyDKej4P8i9ryfXiH_ZT0DhUIY,9300
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_x86_64_darwin_3.4.4.msgpack,sha256=Gpi8kfnmd4r-IG25CAqkipRIrgvLJ2K1Qj_RlGVLtGY,9300
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_AMD64_windows_3.4.4.msgpack,sha256=tAM6ChvF_bgPF0ao63Z1oLCjJ9E4A9HpgUqcWD-_DW0,9300
pandas/tests/io/data/legacy_msgpack/0.17.0/0.17.0_x86_64_darwin_2.7.11.msgpack,sha256=RFo21kS05wtiu8DzHSDA--zSaoKMyNLUWFm5nQUyvys,10177
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_AMD64_windows_3.4.3.msgpack,sha256=FOjfS4w_1GSHJME5a1vm6YJG9fXPsNiK7yiNF-z_BCQ,4745
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_AMD64_windows_2.7.10.msgpack,sha256=bXZvqhMj8QjgT5TThxdGC-Gd8xKdwlfiJQYCF5wL7eg,4745
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_x86_64_darwin_3.4.3.msgpack,sha256=I-fJCPDTFzY0T_V38FCky5_OafGWIq9Ue8YzKWeJIlw,6196
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_x86_64_darwin_2.7.10.msgpack,sha256=jJppidDB6-6YTuxF3U0DeL_eURSIUeqaoQh_YuXfI4Y,6196
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_x86_64_linux_2.7.10.msgpack,sha256=JTu1HTfpsQW_8yoY2CV9q7SUGXYU3KiSu_62X3GODz4,4684
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_x86_64_darwin_2.7.9.msgpack,sha256=UfJIIgD8CaY7AnSZHCBYQj5imVXAcaLwpisi4yEsmCY,4745
pandas/tests/io/data/legacy_msgpack/0.16.2/0.16.2_x86_64_linux_3.4.3.msgpack,sha256=GcU0JZSq6AOmrefViCmf-Oh1EisGN3moSB5UbsXuYzc,4684
pandas/tests/series/test_rank.py,sha256=3U691n-OaBMc1YeDvWYufG2Id0-2gXN_n457ui38ExM,10947
pandas/tests/series/test_constructors.py,sha256=1LuNaWRRO5gHLKyQucNKcLkI7xvaHaNwpYCs6WUAkkY,29702
pandas/tests/series/test_validate.py,sha256=bKI-_A7xmk07CMziO21S_D0_zQUEmLgPoSefr6KQbtg,859
pandas/tests/series/test_repr.py,sha256=8U2vI8pJWIzTUxF0lIwuqcMd-GnCqg_ni-5Lav9lXZk,6147
pandas/tests/series/test_analytics.py,sha256=bPamuszLedaA172t9kOuvGuNm6an5E3qQ1mNJIAuvC4,66169
pandas/tests/series/test_asof.py,sha256=Jb5s47d6iDGAC1K_nh6RCvst56CYqpJDelg-l1TrL64,5289
pandas/tests/series/test_operators.py,sha256=KAGTdyluotWGDW1bmn1unX0bkdcLWlSuzSxg5YoXcls,71949
pandas/tests/series/test_subclass.py,sha256=2saOmutI-MzrkqKVrJyDtpLtY3knX7Z6A-vc4b7_75A,3872
pandas/tests/series/test_timeseries.py,sha256=uk6rhFbqhD4T4caRmLpMi3qV-uvD6veT-WL3zaMgVk0,31563
pandas/tests/series/test_io.py,sha256=Xq2szhhB8TTmyEAutCtsCkrl2itjQeNtZp1VPW91aDY,6595
pandas/tests/series/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/series/test_replace.py,sha256=Nw3QZAhT9BRtv2cYaH-k2KREO0Luj-r-8q5Wwg45tdM,8604
pandas/tests/series/test_indexing.py,sha256=7y2ChL-4s1t6Ze32FCmdiz46IPnh087fc8FU-rbwhPU,91088
pandas/tests/series/test_period.py,sha256=qhqmXjGCFU5xPoRqomoOzmwjwhzUDkwBCsu4Z93hRy8,8826
pandas/tests/series/test_api.py,sha256=k20Tb1a72NJ_dNQ_Y5I_Pfo_KPxetrzrSim3ZrKI_qY,14222
pandas/tests/series/test_combine_concat.py,sha256=09PXshx8CGV7jcBJfvEmWYAcsoewf0OzKXQKvpeCPzY,11771
pandas/tests/series/test_quantile.py,sha256=0WktlBBWoC2fMvMc_mkS1m7Hpe7qVic6-n7w07zGk8E,6023
pandas/tests/series/test_missing.py,sha256=CcRlrQwlo-1Vg6A6VwE4-nmaTDOWUaNf81mim5zLo44,46826
pandas/tests/series/test_sorting.py,sha256=EkZ2ztpanrV73YgDWIY5xLH3fOITJKMFaWmGOCsxzFU,6846
pandas/tests/series/test_dtypes.py,sha256=qZfB_4SulFitja7OiCu2Ocz2EM7QGuLPdvi5hLlQkyQ,11884
pandas/tests/series/test_alter_axes.py,sha256=MnFOdBftAaYm6g9x_yv8Gr-SqJ_o5q9-wM2bzF6VvV4,9999
pandas/tests/series/common.py,sha256=v_GPnlxF2OJev8C5ri-J8HJUfLRAQ26D6ybPWyvyJGY,625
pandas/tests/series/test_apply.py,sha256=MS5PYCTFC9N_G4Z6WbyixD31GlVuC2AHa25c4Lw6Pr8,20591
pandas/tests/series/test_internals.py,sha256=-pvYONRNbOsalPBsLApsIkeAWcyhY2SINDIT7AW7anc,12814
pandas/tests/series/test_datetime_values.py,sha256=c9nib47F15DOoshTmjhE1xhpXL5Rx-u5U_JuEOfzpCI,16968
pandas/tests/indexing/test_datetime.py,sha256=awmb2p7fjpH5xGEzvMwO9EkhF_z03fSGv6nAEUv_o3I,9075
pandas/tests/indexing/test_ix.py,sha256=y5EP50ty1_g4hlHj4GUGu6Lgf6Njo-FKfDwGEmJctwA,12420
pandas/tests/indexing/test_partial.py,sha256=EZ-CVQLvqzf6ACtx646Xwbv6Dr-BNYQM4deAeIr5sWY,23301
pandas/tests/indexing/test_interval.py,sha256=5wCY3W0xwwLjPWbnWR19FNXV4sd_KV58EO-Qx78TkHI,7444
pandas/tests/indexing/test_multiindex.py,sha256=BqftgQa_rofU14u6hzuRsqenwWxh8ilvU5LiE4Tis84,50377
pandas/tests/indexing/test_indexing_slow.py,sha256=1udmveeG8R8MKbAmbDJYhs_IH0fF_7h3J_SnghRVh8w,3701
pandas/tests/indexing/test_iloc.py,sha256=-8j9IUKb3mirDkJTmZjt9A4X6D6JSRiKluNo4SQMKjs,23461
pandas/tests/indexing/test_loc.py,sha256=dtzgtATdaryVaHWl3q8lS7aFavOn7jWk8VBfGrYv8CI,27519
pandas/tests/indexing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/indexing/test_indexing.py,sha256=hgGxXcyyZa6swyX54JcFv8FJA8uidxeA_VWpZ-z9PJI,36653
pandas/tests/indexing/test_scalar.py,sha256=JFUSoTPApwA0FzdJblcRANrV0hYPohj-w5JqaIN-Rgo,5333
pandas/tests/indexing/test_callable.py,sha256=NOBEtScutIAhI-T_aMrZINcXDyw0qYj6y_zl93j9dow,8721
pandas/tests/indexing/test_timedelta.py,sha256=cmohpKWB3ZNUnXx8bGuRoXo8KnXF7LdDDDEEUjGuYOU,2667
pandas/tests/indexing/common.py,sha256=E7CHHslE4TQvm7_m2zVsXDsnyczIFITrF1F7MR_9EYk,9615
pandas/tests/indexing/test_categorical.py,sha256=3m9zc3MzMtyVB0ive9cdR9FDuep5lho71We-P3QkoPk,17023
pandas/tests/indexing/test_panel.py,sha256=Ir7Vo2dzruUGOFxaKAMFagV52QFGEkgyXU9FtUfZ-h4,7477
pandas/tests/indexing/test_coercion.py,sha256=VdKi9_XTHVSphPToQmOpkyZCB4ARL77F2sXN8MQlwDE,52551
pandas/tests/indexing/test_floats.py,sha256=EXvOAbi9GJVY8TBZYfeuqkwhlgK6842y7b_MP1h5ql0,27713
pandas/tests/indexing/test_chaining_and_caching.py,sha256=zKljZVV62ttrDL3LcjmnMFkWoN3zKEQKrYPOUscdXcE,14118
pandas/tests/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/api/test_api.py,sha256=4YT14XIwJRivDE6ANdXvsO_8ziEju_4Gr-r79k_WkHA,8542
pandas/tests/api/test_types.py,sha256=ilN_A3xnQLezHrb84OB6mchsXiTZiCM7xsEYTThcpiQ,3674
pandas/tests/util/test_util.py,sha256=si-5ZadumAETpDHE_q9etCDU0V9mCmisCotc8SLwPJE,16732
pandas/tests/util/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/util/test_testing.py,sha256=9-5JkftoN38BUD0G4MIN5YjdcOD7tgEmek0g5PMYrUk,29197
pandas/tests/util/test_hashing.py,sha256=EXLq8a7v4KpWviXsOXRmNbR5oJYFBZeS4ojnb-gSkYw,12908
pandas/tests/sparse/test_libsparse.py,sha256=OIbZ5Ot3y3aPt1hQL_ksMygyZO1tae8_vG9deATtYnk,22152
pandas/tests/sparse/test_series.py,sha256=1z-youB1tu6HhAHKDbiI3Xu0-bBVAlcRueOJNHof4Bk,54433
pandas/tests/sparse/test_pivot.py,sha256=IIXJhzIoKG9VZi_rr61G0oycNV3BJHCSXDWhpSRzx6s,2390
pandas/tests/sparse/test_array.py,sha256=NnP6LH0yGlSGLEJc6V8bmQy1M0juLNDeikXWkhMilIs,33223
pandas/tests/sparse/test_reshape.py,sha256=htWsr7--BY4WovbZrerT7CbYzydcxGEYmKZewXzHcZc,1088
pandas/tests/sparse/test_frame.py,sha256=OkgVbY0l4SYOOvB1U7Cp87a2dCfVXoLsX-UoLCtFb-0,52677
pandas/tests/sparse/test_groupby.py,sha256=KUL04WIZeYcUl7v2HMr4-_CF7GGY6gNcnO3yrwfWikU,1736
pandas/tests/sparse/test_list.py,sha256=KgLA1Qxfhx_l4OiamdU5senxIl41b8mykquCYK0YU9Y,3662
pandas/tests/sparse/test_format.py,sha256=VvuZnLfCaYaNAz7v6lj52EnEXWC_rfSHC3ZE8kNLdoM,5031
pandas/tests/sparse/test_arithmetics.py,sha256=9AGc04ua_XhNbh92cHKjV1R7ie0K9YZk6nBzQHXo5iQ,19342
pandas/tests/sparse/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/sparse/test_indexing.py,sha256=FfSzkI4krWykgGcxKF8lLqyL84EcG3qb40tiltqd0tI,40162
pandas/tests/sparse/test_combine_concat.py,sha256=mFJwAAoASA0ld4t2EBg-RLsOqx7CzzwbP48m7EfVQik,13923
pandas/tests/sparse/common.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/internals/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/internals/test_internals.py,sha256=FiH5S2wnc1vLjmUMpCuzrAd2dN3tOkc8mFNAS8qemAc,48580
pandas/tests/internals/test_external_block.py,sha256=h7qpUxYZ-nSZYIHgUGF9M-LU_-wsl30fT9C_XcI1qkI,2214
pandas/tests/plotting/test_series.py,sha256=M4lx3RUF3TYcgflHrcp5ibpxmt7hIBbfKg5J3qmh09c,33941
pandas/tests/plotting/test_datetimelike.py,sha256=SaoAufJ0aq4EGgODBbaGzRj8kz44Pe7haM7rAc3CWJw,53430
pandas/tests/plotting/test_frame.py,sha256=Fyw86SsSFE2cR7uED9qmHXxDyh3eeBituXsCi3mkjWQ,119069
pandas/tests/plotting/test_groupby.py,sha256=n7wHi7giFf4B_YukEoB2ja1cvj14W3tOXyjEYFtwm-A,2412
pandas/tests/plotting/test_deprecated.py,sha256=RXHm360Mc9iMaPnehSSXAhei2kkCki3KJUTpcyg-TfQ,1496
pandas/tests/plotting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/plotting/test_hist_method.py,sha256=jXVtQR8OPKYKKSTN47rv16r90ovZnaAiK6b2HcCVhuE,15495
pandas/tests/plotting/common.py,sha256=vLWNhVphmb2LT44DBcwJue7ZXEtUPdN6wX31t8DF6WA,19502
pandas/tests/plotting/test_misc.py,sha256=SwjRdMaH85Yv2trqkg3xYyhKtUGmsIig8jrFSjYofNU,12118
pandas/tests/plotting/test_converter.py,sha256=cQRugVawjzZds6seU_prER03WqMQ6JM_rb4m1qfxspM,11623
pandas/tests/plotting/test_boxplot_method.py,sha256=Wa6X1HZjpeNtLgKuVpv0CeYErvIPTTGDFK-wSQTJtPg,16583
pandas/tests/groupby/test_aggregate.py,sha256=L97uT74qiX5WQBK344Zt-MAPIotTq5V6-egRmgRUOe8,34088
pandas/tests/groupby/test_groupby.py,sha256=CqmBQKrufJg9Gbk60yKk53Jw0530xAwnRHGG_fzrG3Y,147901
pandas/tests/groupby/test_timegrouper.py,sha256=FSaF7B7vXwzeAKSnHa03gdPFdBPGfGBK8t7Cuu9y3UQ,26859
pandas/tests/groupby/test_value_counts.py,sha256=ZpQiTh0D0EU2nH0ZGM3KIrX7Hm-Rmv6zNJheNNxpDVs,1955
pandas/tests/groupby/test_counting.py,sha256=YzV1bzw8qkhAiIz9tfiGuPqN48IFqGDlL7RcfnnpsW0,7393
pandas/tests/groupby/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/groupby/test_filters.py,sha256=Z1_o5jFsTCCid8zJ_xnGmU_NYjs-LyuosvDUQglqtrw,24350
pandas/tests/groupby/test_index_as_string.py,sha256=nuRKQu4oMsAHfl89516Hl-wKuWf8A0V8ncrzoHtM4QE,3760
pandas/tests/groupby/test_bin_groupby.py,sha256=n3kkfzFLilNh6nDLmS8S_Gn6e1dpPboGDIz9FzljcrU,4948
pandas/tests/groupby/common.py,sha256=narTSzrobnQecehYDtcOFcA_UqlbVwW7i48Gquiw4OU,2100
pandas/tests/groupby/test_categorical.py,sha256=jTKex9hX8ZPznZ26-iEZM-vTbzt85RMJWGHGHW_ys1I,23584
pandas/tests/groupby/test_transform.py,sha256=2U6cJmRMeZ6-1OfTDwHY7xYrb06vYvGLdjrMdyZlFlE,23291
pandas/tests/groupby/test_nth.py,sha256=377XV9I1y0qPIRjhDfqvkEKB-v9sJ1o-BOi2pod9cuc,10186
pandas/tests/groupby/test_whitelist.py,sha256=-iUUNIPsIhjZ-ddOMjC6eXovKT3MJPFejiMoXxa-65M,8605
pandas/tests/tools/test_numeric.py,sha256=uVWT0bfKHBts4T_ZBJWHsfWdCeNKuHsCFt9cIdNVRoA,15361
pandas/tests/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/computation/test_eval.py,sha256=gpyaWRiaU3FO3yWQ7QMSMqJExC6gpkp7W_a_JGFwe1M,70440
pandas/tests/computation/test_compat.py,sha256=RFx20hSK2Vj1qOUY-CtJ7yK1PIWR3kQ8qeFL7f2VNG0,1320
pandas/tests/computation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/test_merge.py,sha256=AE1wFW7e4yjfTlAzpI7HO6vJ1UDCIX0Il1qgnh01nNw,66113
pandas/tests/reshape/test_pivot.py,sha256=kJG4iu-IDFBu0LwinhmAb4_ML_I-DMBvRQLK12ojjtA,73956
pandas/tests/reshape/test_reshape.py,sha256=N6EDG5ccP3ZDwnUvK-qc3G9rjr5czvE9NKi05d-nHlI,43640
pandas/tests/reshape/test_util.py,sha256=1CuLOC4RpTGoa3qxURsAUMJ8Hj6Pc61UHZgTJSWrfPM,1898
pandas/tests/reshape/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tests/reshape/test_union_categoricals.py,sha256=fAQ1JRcaHcR2gWcic_C36CaNje_wmRnFX_jaKf2h4mQ,14309
pandas/tests/reshape/test_tile.py,sha256=TSGTHJ_WjrOEu7H4ebpyw1w3WEmDE7i2WvFkyfqbTAQ,19048
pandas/tests/reshape/test_join.py,sha256=VLv315rQiH3XIduqeHOQ2XzJrOpvqu2n5TvyW9YsB3M,31344
pandas/tests/reshape/test_merge_ordered.py,sha256=YtunZnNzgwoLXjxtYXyoym64fs7F-bMjpTsKYNSWygA,3133
pandas/tests/reshape/test_concat.py,sha256=wySiQKX84FHL-_1_VsJOpJAurxoIGM6yRGixEHX0900,79165
pandas/tests/reshape/test_merge_asof.py,sha256=4eBzZVATJw3wkhH_PrZkipvYLrR8va3Os3e6yJEGrdM,38205
pandas/tests/reshape/data/allow_exact_matches_and_tolerance.csv,sha256=3s4uoxpMm7MpPw-7ckT0vukbTy3N6hcOPkR9ggR1H4U,1440
pandas/tests/reshape/data/asof.csv,sha256=sryJb2r1VgWn89wBF5GSL2JN4ejK7uf9FKvJLi55fvg,1540
pandas/tests/reshape/data/cut_data.csv,sha256=3mfqZoGHc6iYGJwmIY3qN9ChJZJv7wqPQ0iM2eYCbz0,33254
pandas/tests/reshape/data/tolerance.csv,sha256=sryJb2r1VgWn89wBF5GSL2JN4ejK7uf9FKvJLi55fvg,1540
pandas/tests/reshape/data/allow_exact_matches.csv,sha256=3s4uoxpMm7MpPw-7ckT0vukbTy3N6hcOPkR9ggR1H4U,1440
pandas/tests/reshape/data/trades2.csv,sha256=108f8AAjEqGV8xzS-UMDv3FQKO7s6Czssg5fe4Ar8aM,3481
pandas/tests/reshape/data/asof2.csv,sha256=2ZcyWq8C8Eeee8QuRwmrHRtSHtJ3_ru2tuCbG-ble5Q,4251
pandas/tests/reshape/data/trades.csv,sha256=E6MQawhBjiy_wC3426Ji94epcYN4sX_I9MQvV_iOPJ8,1266
pandas/tests/reshape/data/quotes2.csv,sha256=cjrYk7w0d9So81EliNbdq-VbnTMZuXERzOIy8ANiIbE,2216
pandas/tests/reshape/data/quotes.csv,sha256=_Go4X8_1MJjl8sOy2UnRrWAJJ7uubtDnHyhJZDwCqIY,656
pandas/tests/data/tips.csv,sha256=IkFarx5W5nW5oJg8sNMhaX2tUfYGCkT7jsqtegDemgk,7943
pandas/tests/data/iris.csv,sha256=kE15GzCKp5v08GZp9jvj8aszGiO9UIBRBl4A9wD1c_k,4600
pandas/formats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/formats/style.py,sha256=3a2bDR-o7q2hUveqr6Zd45gIbTbgj8VUa7kQ75ZYVX8,279
pandas/plotting/_style.py,sha256=WTOrTkueDr7MzpMeKaMYP_8ujtypkkojsbkfECstuao,6454
pandas/plotting/_converter.py,sha256=rc1XzDO8oWXKJG4laOmYktmJ7ZTsic3tWNekKcaik6s,37904
pandas/plotting/_compat.py,sha256=kMk2Lh_AnQWGN-eM4lqCXY_yuQlnoCjZd0pMj0pvLBs,1766
pandas/plotting/__init__.py,sha256=HkgdcfL0gfghI_TdoBPruSMY9T-N8rAIm4TPV0zRzno,648
pandas/plotting/_core.py,sha256=n6-P3-0r2fg7hjRR_2bEd6jQFUFUZ7hbW0v4g9K9L_k,99305
pandas/plotting/_tools.py,sha256=qcEJsIDNjNW2XVMEyu5luAW-Z8IkceuTt9k-CVxxMlg,12791
pandas/plotting/_timeseries.py,sha256=fos28V_wiFJOjmWladfnW07EZDiBHIy0a-n48rHL1aU,11086
pandas/plotting/_misc.py,sha256=xTQlOyxzIdTCVuLICvAUcl5eJT4cB716vpcaUYH-Bp0,18194
pandas/core/config_init.py,sha256=4OMZ-tN226T-83TE7mKZtVrFoz1Ourr6t9bYTi7bYII,17024
pandas/core/algorithms.py,sha256=NAi5rw4scTOYVtGxJc9TbvKS7CtbEFyjIp-ePmN8ZeY,51528
pandas/core/index.py,sha256=XDe5U6ale2FuR4S8fzzMXca2a89fak2CbqAHp0ycRlA,101
pandas/core/api.py,sha256=5B5PBaJhPDWHOxGCRHxCPPW4WHUz4ZUitmirAJaXs3o,3140
pandas/core/ops.py,sha256=2U_6CbqR89eqfRDeSUK6TuFxilBJ63wAd8Xb4_EWsiU,55458
pandas/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/config.py,sha256=_sNre9hCzPozkvsSNwI2st97Dxn7K0C2TzpiDFtjt04,23248
pandas/core/frame.py,sha256=YuZQXGQyJdhSpJtdK92p620BXJcXLI_DN-C203YHTuQ,238227
pandas/core/window.py,sha256=SiODWJ9aq1-SfKvfDPTkSEpLyDarGOgrnkGQOS49uu8,68952
pandas/core/groupby.py,sha256=Xiioq-eM2FHMVm0JJ7W203Pn5JgslH4iNE_xbpDZqJY,157578
pandas/core/common.py,sha256=nNEV_RTk4KaQbqDWfLSA3MRDaZshFNKrAfyddvHC8vY,18644
pandas/core/panel4d.py,sha256=0IDUyc2cltyiGOgEZWUZOg3x_BJ4OxOIRwEQO4zVtao,3977
pandas/core/datetools.py,sha256=Uco1tJNo3AbdJhZUe_YufjRCOqgPy72SLYEp0Vl0x34,1429
pandas/core/generic.py,sha256=f1NeRoruR9waub_P5waqHFZ2oLKMtfX0WdlkUI1ExEo,265076
pandas/core/accessor.py,sha256=HTgd6NaK_ZZpQzzLfyPkgqD8pEJCulXWoyRmrx0iWCs,4242
pandas/core/series.py,sha256=C7wvIaZft092wa8G0PXIijvwCqMg8RxIf7w0Vej_Mhc,107829
pandas/core/strings.py,sha256=WPu5M9_QI4mYm3CiZkG1T9k_yOTJJSndhsga3EaphwY,60122
pandas/core/nanops.py,sha256=4cAE65ftuG_6w4AvtzXDt3QTlguG7dIwFW4L1CmG05o,24684
pandas/core/internals.py,sha256=3xgadKS5-Us-T-iEGX2SXNKp51MWul_2hn2sWxcDydA,192197
pandas/core/panel.py,sha256=LZdlEHqGUXI8Z0CASipBakrZUg45t3RWVztjufROoZQ,57292
pandas/core/base.py,sha256=JtRMRkQE5K4EWIpTLQEamp1H8ktUfbZ3QvlLE-Oj7dI,36254
pandas/core/indexing.py,sha256=EbyOtwpnVKt0lftdOT6lp6o53DrxsnjWJUqsQ4iHbLY,76984
pandas/core/categorical.py,sha256=F6WF-UNtWObUnntHEbjcDR7tb6-pOYl_M4okGh1c6bA,80777
pandas/core/sorting.py,sha256=Rhwq6VWczwiEWPnhE90s1XWCpmYnLSUI8g5_ef2-Z5s,15948
pandas/core/resample.py,sha256=bzNKi2zVViw3hGrvD2kjwBhMggNx4T7mJHz9f9EEAHM,46308
pandas/core/panelnd.py,sha256=_se2Sr8akprZaQ-AGV9CMqM__VsbRK3KdT66XKdNwLA,4562
pandas/core/missing.py,sha256=UWryNSiyYZvT2fnFFLuq_6nRX1uzq31Gx_3ES238Tvc,23369
pandas/core/indexes/range.py,sha256=fBC2nf4VutMHokPIDxusSp692RRagVi-Qumr1Yd-ij8,22629
pandas/core/indexes/api.py,sha256=s3AObs6NcFaZdoYJqF0dm3ynszpnuCf-PFjNSVJNRNI,4723
pandas/core/indexes/category.py,sha256=gPU15w7_TI9t9aCo5mhNwHHKIPu_CrT8_i4LPZXp7FU,27116
pandas/core/indexes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/indexes/timedeltas.py,sha256=YBkdiVObC7j-2GK2xlkSBYj0k2Tjq0P3aAIikDTNi2U,34455
pandas/core/indexes/multi.py,sha256=Ounf6PY8BDdY70BeGBrPZRWpfHnLg10mj_5RQZMAh0w,99726
pandas/core/indexes/datetimelike.py,sha256=FRA2HVINsyug92KvO4BQW-mYZFtcnO0x2a8GsUAU408,27803
pandas/core/indexes/period.py,sha256=HrSJVXsuqdTGE2KQHvBRo5qYjOLR_-TnG4_ikP0tUXs,42919
pandas/core/indexes/accessors.py,sha256=8Bpwp6vYj9Uwy6_qmFthHgWlubDRKSYUG8u1HHWsNEk,7815
pandas/core/indexes/numeric.py,sha256=7kIOgfXv7URPRHu7nuOMuhDZoms3rd3TbUYnyiVyQDE,13939
pandas/core/indexes/frozen.py,sha256=4RjgjvN19mjroc79ocwgwSmnxAqYd4dFRRdC3N6Q81I,4619
pandas/core/indexes/base.py,sha256=VvHHiTnn_2p2WPS5TvcITywA5W2C_Wd73JrlGBu7z-c,145077
pandas/core/indexes/interval.py,sha256=-XYhyJhM9gMFGO1FAvRWK_6ZoQjL_4x-CZgGoLKfTho,44670
pandas/core/indexes/datetimes.py,sha256=ez7armoYGhW_enEJ93royiChgAgAAYnUZszMo9IVKhU,81113
pandas/core/dtypes/dtypes.py,sha256=1LkfqnjBb6whqg7ilmHKblB3nuuwzSBSLqZl84vchQg,20605
pandas/core/dtypes/api.py,sha256=eSkn6YYrPb_K-Xh4ANMxu1CUmdEmk54wGYDio05014M,2399
pandas/core/dtypes/concat.py,sha256=_6a4lBnOMmlE3dFRmNygXw5Po87XIVIuryld-Z-Kkgc,20291
pandas/core/dtypes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/dtypes/inference.py,sha256=VSxpiLukI1-ZXB-Mu3n7snHz3zQVCpYaSrRXj6vbDvU,8415
pandas/core/dtypes/common.py,sha256=a99QU1TJMaUjMKACp5L_1sXPOj0mN6FjXVI5O2lW3a8,51549
pandas/core/dtypes/generic.py,sha256=GIS2x9Wqw4WY3fg4p6zvV5rpoe_WRWFUqZc7G_YxClc,3256
pandas/core/dtypes/cast.py,sha256=PTamlzFXjt2XbV3udbV4f-UmcJ4QpMWlgUV1Q9KIu-Q,37116
pandas/core/dtypes/missing.py,sha256=Aba9MdS8eEH0AZkh4FUb2FWIO912VkkbxAF4V6UaMcg,11389
pandas/core/util/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/util/hashing.py,sha256=y2x51EmhOTS20igYigW125SwzbLmY21qEOillxxp63w,10548
pandas/core/sparse/scipy_sparse.py,sha256=3Ko7Ae7ySFuDSGNf9IemU1h0eU6Ew_q02PSJffhLPAc,5673
pandas/core/sparse/api.py,sha256=BetcGU-WOaDn-s9vZkDOlWCHfAIJ9aEKiLqv8iBLwKg,239
pandas/core/sparse/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/sparse/frame.py,sha256=WutQWROwLnx2OrL0pwpC8xHIWXf1ZxeJJ7l5DW-a2Bg,35083
pandas/core/sparse/series.py,sha256=x0xUCtt62lcV6soKaDCvOq8b30GT2mO7-XkvoeKGJ_8,29566
pandas/core/sparse/array.py,sha256=zLvyOTfDV6pgdMXbzEPDRGqXDJ1-eyb65YGhMImgIEM,27564
pandas/core/sparse/list.py,sha256=UHvCwZt_hS0UanNhlg9yK2JK-kdcRqX9Y1VLH055Yfg,4148
pandas/core/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/tools/timedeltas.py,sha256=x_ylNQHP09UNARkC1xyqXI5hZv-8dHIp3TAUltZEWqQ,6121
pandas/core/tools/numeric.py,sha256=a7Zb_j2mXZWEYVoIA3BdHoastZBbojF_NBnN8QNqkLM,5915
pandas/core/tools/datetimes.py,sha256=4cjBSkrgzbwd3FXe04zU00iPO52XLW3fZeuTfGFPc6Q,24293
pandas/core/computation/eval.py,sha256=-E9PU06oCXQDWJ_vimbMeF1qLo1zkug9KBaCpP3BlPs,12206
pandas/core/computation/api.py,sha256=Fz5QV6wDzKuqCKPkLeVe4fSie52Rzf7DvQsU2fBMhzU,370
pandas/core/computation/ops.py,sha256=yH93h-ySBKPsCODStozwZiClQ99AXM3937Kg63QTRUc,15900
pandas/core/computation/expressions.py,sha256=PzSF9cBZ39XKjsC25J27kvEXw5gGCu_lbTVpV4fYYvI,7066
pandas/core/computation/align.py,sha256=y6sBXqwc14rZmfOxTf5pPxGqGVbfsCEFJ-sDfXXIjVE,5619
pandas/core/computation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/computation/expr.py,sha256=81oOwndMqgNSB2GwDlSZx6oMUqhj4FSe1ErRRcxQHZc,26388
pandas/core/computation/pytables.py,sha256=NNMROZPdpcaprKyT_VWeFpVBxaSShHMiCE7AKEeltRU,19463
pandas/core/computation/engines.py,sha256=QZ0b1Qsw_0OVci9ATbgxV1KIElX3U2FsG0ATH2HaHuU,3799
pandas/core/computation/common.py,sha256=MEwCrbuSv0d9kA9qFCumU-ruYsxWk8PlFvc6Bj7WPsM,652
pandas/core/computation/check.py,sha256=EiQrFxk8TaJyvh4KOvsX3d_Pmcy9Bpenx4TKTsLaVTU,637
pandas/core/computation/scope.py,sha256=Bl7XsqaXjob-cfrhKNYEZUgbpZwAV9x2eHQUkvp7YsM,9228
pandas/core/reshape/merge.py,sha256=5WqsJIP86jbbnfDVRTqEXJtiLDSzuyPKKljtQ2ItdSk,57494
pandas/core/reshape/tile.py,sha256=3LS26XxlrYpt6xk5zynD-GD_HC8drIqonyPDLSMiC7Q,13779
pandas/core/reshape/api.py,sha256=vs29gXDs6jns6S3KuJQPKISn35OtC1_f3XUFVOysXcw,307
pandas/core/reshape/concat.py,sha256=J3cOBadYgP3J53J9qwSQobu0CsojlBt8UUi2P_kFWP8,21484
pandas/core/reshape/reshape.py,sha256=2MR2tNFVIsdF9bUlalTAazh6gjrU2_6CjQs7pCiiFoU,45908
pandas/core/reshape/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/core/reshape/util.py,sha256=q0QldbeqpFrz5TZyuBHBGLKXVLJDQbO3nJG61zVXe_k,1915
pandas/core/reshape/pivot.py,sha256=YTeReDbj58lpGCJYacAGeVra9OTlMUAg0R8Qb8kzLD4,19346
pandas/types/concat.py,sha256=Zlff9p_myjK05jazDcH9xxNDJkdyYrv01ruRnHkGR4I,501
pandas/types/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/types/common.py,sha256=T7OTqu04WKDSjB0avOSF5levMNpoxxPp7_c9ZoIOqYQ,269
pandas/compat/__init__.py,sha256=w_7qBiGXouFeDsMDe0JIVuxvDhQL_jfOygtnPjQmYhM,12010
pandas/compat/chainmap.py,sha256=iUBBayAMnkeGajbMrVzS3gXnNhTUOhQo1SkDghPzHuc,715
pandas/compat/chainmap_impl.py,sha256=2XJwygGSawS5S5Cq2K2PZjtZrH8usB6A46bCQGBO8Rg,4591
pandas/compat/pickle_compat.py,sha256=ICSuvLFX5SkDpPC0wdndZzgcXfxwIbDJBc57SKqf2fM,5476
pandas/compat/openpyxl_compat.py,sha256=Pvfi54G-dhEyqcZ0VFwtL2hBiaLsV7lbgXeYM9sKWNI,919
pandas/compat/numpy/__init__.py,sha256=823o6KuVo5G68GZG68NEfZpyKonO1PZWQobugpAU2jg,2252
pandas/compat/numpy/function.py,sha256=Z6TPIkZZgWODrprW-kooHSzOK2Ow0ZrhkHjjGKgEHck,13077
pandas/_libs/hashtable.so,sha256=DMZyfYoYFRzZBzCzZS9l9k4cTByFhN7-X9-UF0jTjqA,2916040
pandas/_libs/index.so,sha256=ybLLuQd5sJH-VZwpwnhK5bghaTs5zzpbz9KaxSnGLhk,2519167
pandas/_libs/properties.so,sha256=lRkX3GqJOZg8SlZDuVWDcs44KZ_JHkW-5u6a3wFskfA,285965
pandas/_libs/interval.so,sha256=BjmSTmiToFHjzHlw9_pIKuSPeQSepVASCWOnnRnkaJU,8518864
pandas/_libs/join.so,sha256=mox8ADOdk8sXjW7CTMHjxa1BY27zxq3CM-VPbTPkQpY,11310803
pandas/_libs/parsers.so,sha256=zuMY6JJ2eTw4mw0Y7buqDomNUYCSFw2WJzvmaAQ6pnY,2817994
pandas/_libs/__init__.py,sha256=jF2lNpD1riGeY0MfClgSk0jAc8svplUE_QRfTnJR_1g,275
pandas/_libs/window.so,sha256=SB_bJvM15yXvwAOyWLBXkBMlPZMel9cYZ0dOqkty9G0,3455800
pandas/_libs/algos.so,sha256=KXxKV2FNW0zQiOVYCiKYQNRVVaxCermj1UN_LgPh8ps,6942338
pandas/_libs/groupby.so,sha256=BXI_ym82llXKme0zQ4cM8yHLxcJDZkSK5xCT8-0R6T4,3135190
pandas/_libs/tslib.so,sha256=7X4V0vcuAFWxsLqa_T_j91Wb0gikjOBO2B-eslXisOU,5776646
pandas/_libs/testing.so,sha256=5Pct7IniXVjAFTwlpOceXnfN4wHYkCKl1VlM_jzCmMg,346880
pandas/_libs/json.so,sha256=o3JnH1Ii8otAQsRnVxf9UO-soRbzy6-w6O07lyB8nuU,341480
pandas/_libs/period.so,sha256=wzGPwHzeVUwNY6_0QX0uhd8_JbpOOE2ks4jbKZ2Fo5g,2069479
pandas/_libs/hashing.so,sha256=NnW759NRN_Xt9qqRf2H_MMjKyfDykUZv4GYvmagp8eo,316563
pandas/_libs/lib.so,sha256=EtFjmGpxM1gFmb-m4JIsXDfRoQV8xUh_nz6-ZdT6mC0,5225072
pandas/_libs/sparse.so,sha256=VmMl0S94ISzxd-RefGFIPHLpZrBifb1Y_EJlvZ0ilhU,4924952
pandas/_libs/reshape.so,sha256=2BrzfDdUDwixu53Mjr-V8QqM9gYQv9MtGF3ic-AjstE,451209
pandas/_libs/tslibs/strptime.so,sha256=0xPVmN_K47yzuoNJn_lgxAMpjMc0dsJ0jCbiJf94gus,1329333
pandas/_libs/tslibs/parsing.so,sha256=g6tO5CCX_7Fpn3sj3Gy7TIkDmi08kdCV97QRcgD-Wd8,1353090
pandas/_libs/tslibs/frequencies.so,sha256=1fe-w2uLt0S-rrmw3ACoQKnDoC_xCVnjM5MnzVr1-6Y,255281
pandas/_libs/tslibs/__init__.py,sha256=sN3dY0ULcn5JMBvHa8fSZ4M5JC_KaN1mdyjWVaUzBQI,48
pandas/_libs/tslibs/timezones.so,sha256=YYRlbRsbkyMw3pksOyDeHDI4P80xNDQGAhmbERmhE5Q,593033
pandas/_libs/tslibs/timedeltas.so,sha256=tsgTF6jvI9iIm3ebBVoQhHNatiBBzrz1f5F8E8mlwhc,314147
pandas/_libs/tslibs/fields.so,sha256=iFhyYpbq4bVQ6Pw2r_YlbHvGK3ug-0KCKpHwOw5wGwQ,710273
pandas/tools/merge.py,sha256=GQj6d5XYRmg3tKujVJ-bnElLLQO1QscUvpViMGs92zY,438
pandas/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas/tools/plotting.py,sha256=Yu8RWEAabNbJ8_sT8zo521-Q0jNc6QzoiqXgzYLoers,601
pandas/tools/hashing.py,sha256=TGi986zPH9oYTUa3V8UXjFFXQDlXnU_y0m_TJdkZsjQ,563
pandas/computation/expressions.py,sha256=cgt27MkOOXVPVHy8X-KrDnF4SN_SvK0D8OmASEY35hY,433
pandas/computation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0