pandas_tutor/__init__.py,sha256=zBwaFiWvP-5tcsE9topkjqxfXucoLjqUzGHHO047wgM,343
pandas_tutor/__main__.py,sha256=JErZDXHnN-98pp4YitaHdFgiptH8vA_Lbc90xfdrWV0,3750
pandas_tutor/diagram.py,sha256=TwIcWhMLnZvcLPrHvhfyQt6urM00RlTEMzk7XqpBR2M,10340
pandas_tutor/ipython_magics.py,sha256=VEqPEgsKT4bYSQBiXemW5B-rzuQcRS0RaePlrPUPgq4,3983
pandas_tutor/parse.py,sha256=a8RAQyJCY4bCl_aNKcNUwmPYrjM1fP1gTjdLzlHjsr0,30147
pandas_tutor/parse_nodes.py,sha256=vc24pjg0muUjTyoTVQeTEugNHTsVj7A9UD0sD0ukD-4,15349
pandas_tutor/run.py,sha256=OCl8zWvpk-Y2YoTnuYO4KLzpRkKrah_-NRcfmLV7WSw,8567
pandas_tutor/sams_scratchpad.py,sha256=tJw4wyyKLvIDS9KXnN_7q-UM2BTW592iV76S4LQuNfc,1638
pandas_tutor/serialize.py,sha256=eDrrNnOcfLrcOIBP3A0dmMh9Lkvc2FjIus_mocZlPeM,8559
pandas_tutor/util.py,sha256=oVOgeUvOSZLOE3tJ7SSWEntuu0YKkS6KSvc8kBZVl5o,16600
pandas_tutor/marks/__init__.py,sha256=WU-v2KK-O0cP2EOcKXGLyDWcSVUHPqm_MbAlvFWbTYQ,56
pandas_tutor/marks/mark_utils.py,sha256=2TBGYIlGD5H1qxiFcVUUfqDfmEa3FRXhBCzN_Kp6rX4,6106
pandas_tutor/marks/marks.py,sha256=PgMjcBQPE9Jf44qqaPoOYAfhxF5f2Q9YwPcH3j9Gd0M,34729
pandas_tutor/marks/merge.py,sha256=-sclw88xQByGF14pkJYMe8Vi9qSCEnLSNRH9JAoCqnc,8735
pandas_tutor/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas_tutor/tests/test_bpd.py,sha256=-eB5KTDp_b4kLhlmGsXFuDPUV3dpSiCiT-6Uev6W2O0,1280
pandas_tutor/tests/test_e2e.py,sha256=r3tdy3StYZ4-gQMeUp7xLOVyLPN0at1DGLqSw1Q6iw4,1891
pandas_tutor/tests/test_parse.py,sha256=M3dSC5PVcF25I64PNr7n6phV80PRtLBI_JQ0ZzZ4v18,999
pandas_tutor/tests/test_pg_wreck_it.py,sha256=_HZdK7bi-KD6KtEthTM_aKVRKNvE_tRUdkNFJqm8TEQ,1944
pandas_tutor/tests/bpd/bpd_groupby_max.py,sha256=9Og1gzaABp_YH7-iUZ7syBK6OMh3i62QHySQU4u1bdI,425
pandas_tutor/tests/bpd/bpd_groupby_max.py.golden,sha256=tdHrHzNVJrouZ4aPZBKNEtxfGhpc2eP625Gm_8VOaBI,8291
pandas_tutor/tests/bpd/bpd_merge_basic.py,sha256=H7VuPM80MlTgjlg8iUHagcG0QfTk6XewhTqSYkpgRA4,362
pandas_tutor/tests/bpd/bpd_merge_basic.py.golden,sha256=SdzK6psCt8l2aF6nt_DBgMAo516sMLY-ZAZ1UBARUbc,7373
pandas_tutor/tests/bpd/bpd_merge_basic_02.py,sha256=YUBOcPv134SkhzYggTDEkKeSQkL3jmQjXLiC7ys5BeQ,488
pandas_tutor/tests/bpd/bpd_merge_basic_02.py.golden,sha256=n8IJ-5oHTqn0A79miMeDoERQIIPWiuQTBjxzonzzehY,8233
pandas_tutor/tests/bpd/bpd_sort_values_twice.py,sha256=pCK9ZBxpMOelARHA9ct-0VgpXkdMxpyproUjIJs-NvY,538
pandas_tutor/tests/bpd/bpd_sort_values_twice.py.golden,sha256=aBIjSysgoeXOfSkjzD-QkUlTRVTlOW3cNUj_5BLJka0,13428
pandas_tutor/tests/e2e_golden/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas_tutor/tests/e2e_golden/apply_df_rows.py,sha256=yTTfKZ8zv1FL-a8JsYAega3_sQZ0Xms5YDD0M0PPflI,416
pandas_tutor/tests/e2e_golden/apply_df_rows.py.golden,sha256=Jbk1mecDAhYSJvjfW6fuBQKSytbD1cqVCaj02AlHh40,6523
pandas_tutor/tests/e2e_golden/apply_series_01.py,sha256=pApfYv0DNf3OsqsmpRXyJLr3RIUirKcZt1UJwsI442k,413
pandas_tutor/tests/e2e_golden/apply_series_01.py.golden,sha256=XI9bDiSiW6PYycxx9KGU29Ch19H2pJERHzJfGjYNpR4,6325
pandas_tutor/tests/e2e_golden/assign_lambda.py,sha256=l07JBRrW7RtxHC68_hEVxTmsrUzNeeldv_48TfW6RW4,439
pandas_tutor/tests/e2e_golden/assign_lambda.py.golden,sha256=dYz-6UyKeB0GE3sbF1YYmgCMHVMHLo2gCkvqUB0BxGI,4466
pandas_tutor/tests/e2e_golden/assign_multi.py,sha256=3O-lwolUBftonFrIU1z7hDH55-RcpL-zvGq7hhxlxdc,522
pandas_tutor/tests/e2e_golden/assign_multi.py.golden,sha256=hS67pGqMlFMTentDDMHhImm2Jkgg57MjgJCKGjoA8F8,5425
pandas_tutor/tests/e2e_golden/assign_single_val.py,sha256=PQV57-KcbozLpelAFg0g_QqeFJcMHo-tWbVvH7fOr8w,420
pandas_tutor/tests/e2e_golden/assign_single_val.py.golden,sha256=eKI057kL-cmW91y8MR2icCR4-ae3WvGXF-EJID9gJP8,4470
pandas_tutor/tests/e2e_golden/assign_with_series.py,sha256=KBpNmciJPRgDN_kXtc0OnKIK6x6unQjZE1J-VzbHXLQ,430
pandas_tutor/tests/e2e_golden/assign_with_series.py.golden,sha256=qg6SKO8NVrVW8jzp7p2f4jnD5JTbbhFzE5CfrBDqGEU,4448
pandas_tutor/tests/e2e_golden/boolean_mask_multi.py,sha256=FWcGiSwv89tHGxFMNmet-eBQ7RkSuJrkmEElICOTIds,584
pandas_tutor/tests/e2e_golden/boolean_mask_multi.py.golden,sha256=hwAwtA9mc9Q7U_hf7nn2XniMlPESQtgAuc5BFEwves8,4969
pandas_tutor/tests/e2e_golden/boolean_mask_simple.py,sha256=z2yNS-ByQ_7nrZLKm437h7PMb9X6J9MmbPtSoldiB3E,544
pandas_tutor/tests/e2e_golden/boolean_mask_simple.py.golden,sha256=XU8-gc0GLHU0wZWYwVQkxvoVW1_qoUjFqNUkCUXGVx0,2336
pandas_tutor/tests/e2e_golden/df_itself.py,sha256=XA_KlzlPyw5ksbR1EOWAoIFop55j39c8YR8JysPiqXI,387
pandas_tutor/tests/e2e_golden/df_itself.py.golden,sha256=TRNRG4T2OPAsh5KNYwMepr2MXUYcm1Fwp1xbx3VgP6g,2371
pandas_tutor/tests/e2e_golden/drop_columns.py,sha256=51tiCav1FdO7HofhVnE9If5O0Ogu0vK3mcaywNrbkcA,295
pandas_tutor/tests/e2e_golden/drop_columns.py.golden,sha256=p18ehGnwskqJUTW90cx636_1qGFPnNJ4DXkQDhFxvOY,2656
pandas_tutor/tests/e2e_golden/drop_rows.py,sha256=4-sHIjeLnPXbJNkxaQYv0IO0wBW-mRLz2_ApSA1wvS8,302
pandas_tutor/tests/e2e_golden/drop_rows.py.golden,sha256=x8mkriPDDliJft1F9JiaOhA9v4k9pm7oP1lTKy4fSK8,2566
pandas_tutor/tests/e2e_golden/drop_rows_and_columns.py,sha256=jcY87bTOiBUmAlAyjzi6s8LyPmpDvxDPbYKTdQz3i6E,376
pandas_tutor/tests/e2e_golden/drop_rows_and_columns.py.golden,sha256=wEKrQ14MuCWGhVnnu0-W1QJ6TTAiE_dW_kPL9hGNTgQ,3127
pandas_tutor/tests/e2e_golden/drop_rows_index.py,sha256=FLgD4YwYU7q-sNSFHpsq5fjreMUvk9FIJFHfwHfYfBE,361
pandas_tutor/tests/e2e_golden/drop_rows_index.py.golden,sha256=RvsZEf5ta8Ar3AFOF7CpHLUOoAYbaYJMh6jUSXLkbFc,3046
pandas_tutor/tests/e2e_golden/drop_series.py,sha256=WQYpwoKvyjaPiuCHJE2ZvFFqB0O1ZAPW33OihsN7BLQ,328
pandas_tutor/tests/e2e_golden/drop_series.py.golden,sha256=uzTbvnfvGeKULwVzefjeYfIPbUTl73XWzIk8fWDB6jk,1749
pandas_tutor/tests/e2e_golden/error_runtime_in_chain_01.py,sha256=517EPn5VuZlplEe8-y_Csav4fW_sexszVhtlzzKv73w,440
pandas_tutor/tests/e2e_golden/error_runtime_in_chain_01.py.golden,sha256=3_iC5nBvRe4rba4_ZCM0W5HbgcZoqvoElwM_EBcU1wQ,902
pandas_tutor/tests/e2e_golden/error_runtime_in_chain_02.py,sha256=5uLeibvxiFDM11XeI6sgdNN_ObA252yd-R8g1gDrcJo,440
pandas_tutor/tests/e2e_golden/error_runtime_in_chain_02.py.golden,sha256=h2FqV5M1lvppjuaSYYMvdI3ECse_eLlRmzguzq_m8c4,6983
pandas_tutor/tests/e2e_golden/error_runtime_in_setup.py,sha256=WnX3IIScitBPOFcgDIdMyff7yo0s4jj_q6Y_uzhh4U0,433
pandas_tutor/tests/e2e_golden/error_runtime_in_setup.py.golden,sha256=VLjGHGlx8-wwidlqK8UlAx6bweCzU5GUCl2aS2l3oz4,859
pandas_tutor/tests/e2e_golden/error_syntax_01.py,sha256=LuKTnwo0nGZqH4Uh4cfO43AgQMDSPAeQsLU2-JAfgCg,432
pandas_tutor/tests/e2e_golden/error_syntax_01.py.golden,sha256=h1T10RowL9MWHVI-NYHdj2tO8hMk4ZC-NzSqdoTrb68,1251
pandas_tutor/tests/e2e_golden/error_syntax_02.py,sha256=DcarWy5WeXKwXtTunQ5K5zLigaF2TgapfsgL2xfyC-E,414
pandas_tutor/tests/e2e_golden/error_syntax_02.py.golden,sha256=BbPSOz1a8tNpzvQwgxMKz0PjuF0h70a-pIOBkQnPtsQ,1168
pandas_tutor/tests/e2e_golden/filter_all_match.py,sha256=PFrDq4j650_iDmaD2zj0OWUiXvH5qGDEbh_X2Mg1ok4,411
pandas_tutor/tests/e2e_golden/filter_all_match.py.golden,sha256=V8QewLOjeOJH35dNGFeXFMfFFbVkrSbiFE0AMyiwVtU,6516
pandas_tutor/tests/e2e_golden/filter_cols.py,sha256=jT6v00H3h9FgSN1mBZthMc1EQ3SHe3NE9hbe8mBwNts,441
pandas_tutor/tests/e2e_golden/filter_cols.py.golden,sha256=I1tscL5L3vgZpzksuM7CJY2Os4MjVnNgX9G5wSHJUmY,3111
pandas_tutor/tests/e2e_golden/filter_into_series.py,sha256=WswiVs-khQuGLH3L42wXXO23Uc-tWijLBtfA83lbIyM,3576
pandas_tutor/tests/e2e_golden/filter_into_series.py.golden,sha256=sB3I7O5IhEKgiYNBuHqyKawXQctnsciBFYofkA6qCac,14163
pandas_tutor/tests/e2e_golden/filter_into_series_row.py,sha256=RHWMfTLnLFsZp4WIYoHlH4YOtHC38akayZFHt2N1Acg,267
pandas_tutor/tests/e2e_golden/filter_into_series_row.py.golden,sha256=77hVB6WMhfPMnV1hk5mWigTkC2eGDJms6dEO9dqgIHQ,2214
pandas_tutor/tests/e2e_golden/filter_multi.py,sha256=YA90_jPw5hf3rpzRNSMxAQv7vFgRc178epmYJAPM8Sg,578
pandas_tutor/tests/e2e_golden/filter_multi.py.golden,sha256=IGCzkLNw5FHfyMPfFROHaDMdwW8xCUTfQjMNk6V-x6o,3953
pandas_tutor/tests/e2e_golden/filter_multi_loc.py,sha256=i1XUQgmAgaDGTrHeOm5v4DSnSXlCr65FNlO7sVzOcVA,581
pandas_tutor/tests/e2e_golden/filter_multi_loc.py.golden,sha256=0ooduXAYp0pdHlbMsuR8zxhUyv0iKfYkbMemGq4zmKM,3960
pandas_tutor/tests/e2e_golden/filter_simple.py,sha256=2U72Dgvdlywuzg_azb4UGTuU_0PoB1S4lOAX5orbkgU,497
pandas_tutor/tests/e2e_golden/filter_simple.py.golden,sha256=bmyrT-BHJ_FYhSGiVfHXhOECT29rIHWomuEyCklc0IY,5017
pandas_tutor/tests/e2e_golden/fragment_test_01.py,sha256=TzyWJBa7uC981sStc3wOpAN4bBMAqCP5bxIu8_KLCp0,300
pandas_tutor/tests/e2e_golden/fragment_test_01.py.golden,sha256=Z4hCl2C1oLZDh_grrx92sZYpzXFLKMgFc0dC3Ip8X4Q,2970
pandas_tutor/tests/e2e_golden/get_multi_col.py,sha256=qla2PUZ6ZhbUkGLttNTVXPI47NqUQUvaslEZtReD-6E,411
pandas_tutor/tests/e2e_golden/get_multi_col.py.golden,sha256=CrtADxkhiU_kXSndMEWi4ySEN_Ymm96WqGQSnDA7cjE,4173
pandas_tutor/tests/e2e_golden/get_one_col.py,sha256=rlmoOFYjndvqDwKiYUvNpV3jYde5LxA4LNtMai0JchI,401
pandas_tutor/tests/e2e_golden/get_one_col.py.golden,sha256=62ZcBtafS10gNPW6O5Z0WwB1Kwc1yxyv-qXTS6CuO-8,3239
pandas_tutor/tests/e2e_golden/get_scalar.py,sha256=UUVCGjn6iSrLQrS6zTG-NLCGqmac8_vayYZ3yaWidDE,420
pandas_tutor/tests/e2e_golden/get_scalar.py.golden,sha256=4CbtZQ2RQXQqJAGvrFAqzRRONKWZCurKeR7hmNVeqSU,1429
pandas_tutor/tests/e2e_golden/get_series.py,sha256=-flI4Kf_gsZRBrAYt3Yzzh3lINu_lGVxJ-Fb85MNk2Y,425
pandas_tutor/tests/e2e_golden/get_series.py.golden,sha256=v6SGdLcVkIYSUzzYaUh2y6sW4gDv7uwECCkanfFV6n4,2276
pandas_tutor/tests/e2e_golden/groupby_apply_01.py,sha256=npUhfLiO4dE1Fs-E-sHmziI-1LY5GNxWqpqRdE5CBXM,410
pandas_tutor/tests/e2e_golden/groupby_apply_01.py.golden,sha256=yjy3REvZvmiMsS92Xw-TTT0IfTjDsyg5VyrLwwAzz-E,11720
pandas_tutor/tests/e2e_golden/groupby_apply_edge.py,sha256=2nFDCKMNLUP6ooAK0ebZX6eEblPjfwcrhWnMM-F4zRU,487
pandas_tutor/tests/e2e_golden/groupby_apply_edge.py.golden,sha256=QX_nczU1VCTr6B98MYyFUvukoQCrShTuu1MJZZdvzyg,4595
pandas_tutor/tests/e2e_golden/groupby_apply_group_name.py,sha256=ZQJaPb2LMwHWBrQIwHFRR59RxaWD6XyG85yBxP0TB2E,413
pandas_tutor/tests/e2e_golden/groupby_apply_group_name.py.golden,sha256=kUoHxJ3r6idF-8_boMnp3CCQuWHZbqYQwwX4nPmN0wc,10714
pandas_tutor/tests/e2e_golden/groupby_apply_index.py,sha256=WPa1RZKfpAA2HmP8OfC810UVGaoCLohXjSdxvTRM93Y,394
pandas_tutor/tests/e2e_golden/groupby_apply_index.py.golden,sha256=Q3JmH4lzaRV9AhcXYbX46Lq6A884zyE6AhuANcrdvvc,11232
pandas_tutor/tests/e2e_golden/groupby_apply_multi01.py,sha256=GkBFFui4cFX2L3fZ4_eUB_6lr6guDViVVkvpEr-g-wY,430
pandas_tutor/tests/e2e_golden/groupby_apply_multi01.py.golden,sha256=xNLHlR5V4Zz2nu8j2hjBucXSezxgf4Oiz6U9ZrAV7co,14454
pandas_tutor/tests/e2e_golden/groupby_apply_multi02.py,sha256=XC7fX2GcmEpkeoS2NWncDhNob4UJFYpBWlb-OwKMbK0,347
pandas_tutor/tests/e2e_golden/groupby_apply_multi02.py.golden,sha256=M4mXtRBSBCopZHzmaI4unbqnxYnqnmF8ngAec9p_o0o,9438
pandas_tutor/tests/e2e_golden/groupby_filter_01.py,sha256=UqsgFx0qURRRyxhYnbVs7HO8rlASDuVrycwHI5z5C1Q,457
pandas_tutor/tests/e2e_golden/groupby_filter_01.py.golden,sha256=GDDZNeKpqQ9_O_9IqfZQ5ciTnOmjjrqDYk1Q-DmUp70,8035
pandas_tutor/tests/e2e_golden/groupby_filter_dropna.py,sha256=8sRLVcdlRWYfH-L5BvAhPfs6b04kyPwQ98TiZH1xeeA,471
pandas_tutor/tests/e2e_golden/groupby_filter_dropna.py.golden,sha256=wZje15RC1TiWc-sX8Tc61hWNl1vPN5hh9WAseKJ2PbM,9373
pandas_tutor/tests/e2e_golden/groupby_into_series.py,sha256=Z-67p_q3Q4jWq7zjVRSHUduS2WyoHuK-dCIQ9EoOAWk,433
pandas_tutor/tests/e2e_golden/groupby_into_series.py.golden,sha256=XnaGzO4f36frOnId64Olzxdz6JQD0vGf-PXU_7LvbGw,9943
pandas_tutor/tests/e2e_golden/groupby_manual.py,sha256=uMILuYKwYslEELViszfPIV5_zSg5c9WsKYe5b__bDKw,336
pandas_tutor/tests/e2e_golden/groupby_manual.py.golden,sha256=22vXITomEo5NOBAZ47R9VW4lEkx0ddlTxhr6Twq1qbI,7316
pandas_tutor/tests/e2e_golden/groupby_max.py,sha256=gwazKK-6qHVtSO1h-P5UK8_dh2vHfAGKosI5FNGCE80,421
pandas_tutor/tests/e2e_golden/groupby_max.py.golden,sha256=jV5CqsE-F6vSJcLYFiKAd4xl4b7WX2dQJP8s9s9YSnE,8287
pandas_tutor/tests/e2e_golden/groupby_multi_01.py,sha256=ZeCLCaUl5FlvSzZV8BCc1psTYoURBIGTrpG9LW4NtFM,431
pandas_tutor/tests/e2e_golden/groupby_multi_01.py.golden,sha256=84Gwh_6lZfGNGDEAveBe1OIEA9YH42-YAZCOv_Lr_oo,9743
pandas_tutor/tests/e2e_golden/groupby_multi_02.py,sha256=wRFRqTbqzISUTmJzNlCuo4eESTzsmz3gyZzGm0JwKFU,456
pandas_tutor/tests/e2e_golden/groupby_multi_02.py.golden,sha256=Apg-67FKooGo4Quj_qEHX3myd8oGFX5VOLZ3RzXNyHY,13460
pandas_tutor/tests/e2e_golden/groupby_series_filter_01.py,sha256=D1ai_3uTK_1E0-7z7oPaE1u22MT1OvqFI1gU9aP3QEw,467
pandas_tutor/tests/e2e_golden/groupby_series_filter_01.py.golden,sha256=P6rFv4fzkegw99h3LTo4z8tXKDUwtv2qC7LjmGu0NOk,8904
pandas_tutor/tests/e2e_golden/groupby_series_filter_dropna_01.py,sha256=NPKOjlx5h6iZlhh0ApKFMRpLZ7uIGhtdXdjXNdrL17Y,481
pandas_tutor/tests/e2e_golden/groupby_series_filter_dropna_01.py.golden,sha256=DUIF4cawNLQGtwd4SxdeK-agqQ664UClZab338xklPc,11132
pandas_tutor/tests/e2e_golden/groupby_series_transform_01.py,sha256=g44jNs43puRf1k_Zc7p7rikupg9G0xkfxz9hS2WkDXs,401
pandas_tutor/tests/e2e_golden/groupby_series_transform_01.py.golden,sha256=fUMRZyfecw4pS7KF6hg3KSKCJaf3CXUH0o-I5-dxAJ0,10404
pandas_tutor/tests/e2e_golden/groupby_simple.py,sha256=KZYLuw1PBed8YwN_xbraG5GptseS3qSPOPKyhv7OVFY,445
pandas_tutor/tests/e2e_golden/groupby_simple.py.golden,sha256=Dd5cFgR-IHRVJVwW9DKzAGMGQethtqbzuqqhyRgZy5U,10283
pandas_tutor/tests/e2e_golden/groupby_transform_01.py,sha256=lXt9tyMHEEKqxkTm7CpCcQR4Ox_HpF3Hka8zdYjb-9U,404
pandas_tutor/tests/e2e_golden/groupby_transform_01.py.golden,sha256=GDNQqsHJaQmk9joGDtxfhJKyqvVR_RtCMuH6mYLbsdE,11232
pandas_tutor/tests/e2e_golden/groupby_transform_02.py,sha256=SKTBxaevI957AOSgHVVXMnoQutd61QWj-7lanfE0zfw,433
pandas_tutor/tests/e2e_golden/groupby_transform_02.py.golden,sha256=bSUfGEC5WynqV5tnWjtMVzoismK8E1VJezrfskZXVks,12292
pandas_tutor/tests/e2e_golden/groupby_transform_03.py,sha256=mfs9lgAeiQIGsMjYymOvyycoZQqS1Cb3l2w0nvRX5Fw,432
pandas_tutor/tests/e2e_golden/groupby_transform_03.py.golden,sha256=jJ1R87k9F4yeT6PDwCEeQsf4W3zrVWurT0a7c4TFnfw,12306
pandas_tutor/tests/e2e_golden/groupby_transform_multiple.py,sha256=M6YRA4zdk3aPG0ie7GT8YmH36RJOOTyqRIt88kZ9jGU,351
pandas_tutor/tests/e2e_golden/groupby_transform_multiple.py.golden,sha256=32pRGVG7FBu6rRKhUVkWapSl79QyucWVl0H3NHRJ_O4,9821
pandas_tutor/tests/e2e_golden/groupby_with_groupers_01.py,sha256=4UWumL5mc4RqUwYC3D17vKU9pVx-ppsQlZkXQ1WJfb0,519
pandas_tutor/tests/e2e_golden/groupby_with_groupers_01.py.golden,sha256=LJ26SSdRwrD6QDS_C4UdRGxYDkrWBtRtmQd1T8VZhn8,11060
pandas_tutor/tests/e2e_golden/groupby_with_level_01.py,sha256=Q7XA6J-ADCkGrp382YKlr-J2DNM5jUxdlgcGidwEFQU,465
pandas_tutor/tests/e2e_golden/groupby_with_level_01.py.golden,sha256=63otWQPzPW9xfM-k9so_QWiLHqF5tLChmHONmne-Ouo,9774
pandas_tutor/tests/e2e_golden/groupby_with_series.py,sha256=PpWeUHjz7FUY_bOBTzAj6-TaX7mMeNSyzjBMds2DRTY,385
pandas_tutor/tests/e2e_golden/groupby_with_series.py.golden,sha256=7XgrQgV6eEKT2zIu9U7mk92ST2kjtnveD5ogLZE0naM,10902
pandas_tutor/tests/e2e_golden/head_01.py,sha256=nThFOrHeL6UrE9z5mVjbKnWmDbFIlDfO2L6xBGxNFS0,396
pandas_tutor/tests/e2e_golden/head_01.py.golden,sha256=OF675f97y-oohL5A61n0V7J6_p30hCB80w-emtNkn6E,4316
pandas_tutor/tests/e2e_golden/head_series_01.py,sha256=Kxxd32f-nI1BBRU1FteqovU5dOjZsmAvCR-aimaf5WU,88
pandas_tutor/tests/e2e_golden/head_series_01.py.golden,sha256=OJcFk_uv5VN_Y5OnBrOY30lzcyCaRgjsRJUQ3Zva164,1712
pandas_tutor/tests/e2e_golden/homepage_01.py,sha256=lvPJUX9AWXalHwXXPUVwWcn8N9nth6G16AqoyTEi0oI,1855
pandas_tutor/tests/e2e_golden/homepage_01.py.golden,sha256=zXuA19y62MrEC4m3tLf32uRT9aYCpGx0OdcSv8di3Lg,43257
pandas_tutor/tests/e2e_golden/iloc_df_into_scalar_01.py,sha256=VtzXtcz-KAc-j-otEOJLGKbt86J4oOLT8bCJ09dUges,400
pandas_tutor/tests/e2e_golden/iloc_df_into_scalar_01.py.golden,sha256=lyZ0egbSSP1a88bQ4oePzl6sTvPE04EnLW_fHLaWjQM,2279
pandas_tutor/tests/e2e_golden/iloc_into_series_col.py,sha256=74wHbyvqdJAWcKdoljXb5OOetulmS9j561lckJ0GZtg,401
pandas_tutor/tests/e2e_golden/iloc_into_series_col.py.golden,sha256=RU5CmBMqiXgCvOfcjzeX_JSU60nSIMjP15LKqy0p81M,3231
pandas_tutor/tests/e2e_golden/iloc_into_series_row.py,sha256=ij-Jb9EcceGUgiDAnxSqpPnYthivvEABTGcuaxEO-Z0,415
pandas_tutor/tests/e2e_golden/iloc_into_series_row.py.golden,sha256=XVoVB26VrwqmYlMVOO1SfFKXaJK24yIuEhoRhAEUR3E,5682
pandas_tutor/tests/e2e_golden/iloc_slice_01.py,sha256=pzjADGXKcpQsh7t_33ByzvxtWo9GnCzNb5RKe2yb0dw,491
pandas_tutor/tests/e2e_golden/iloc_slice_01.py.golden,sha256=mrDonTRPztcpevCI6JrjpfjumGcR3hfKZ4eg2jL3BIA,5293
pandas_tutor/tests/e2e_golden/iloc_slice_02.py,sha256=pB30vAvj3b7rvqu1EPLnxJn8VCYASI8my__EcpTbMCs,512
pandas_tutor/tests/e2e_golden/iloc_slice_02.py.golden,sha256=rXaYPbKhfQGZjwcrtpd4dsm3_O0OPJf6eWWyVoHMzDQ,4376
pandas_tutor/tests/e2e_golden/join_basic_01.py,sha256=oKIQ1OmzslEBiuCvOtiQKxdsDDjXsaUMaLDY3mFcHpE,421
pandas_tutor/tests/e2e_golden/join_basic_01.py.golden,sha256=DfGp6ZtI8jP1hPDHwvEm29h2-BXv4qp3Adx23vWbSic,6010
pandas_tutor/tests/e2e_golden/join_inner_01.py,sha256=NTUv3aFyMMYu3qKnebi1wqsHMj88013PlSN5IJWLlAg,562
pandas_tutor/tests/e2e_golden/join_inner_01.py.golden,sha256=5oyEERktwYHjxdTtSyo2vcKNSxmFaFBl2LC4LIKR9Mw,8175
pandas_tutor/tests/e2e_golden/join_sort_01.py,sha256=HedR5pOf4sAEmUQ5QGF8HT1grg2e2d2OOUL4WbhYVdU,384
pandas_tutor/tests/e2e_golden/join_sort_01.py.golden,sha256=CkLm4dGTJ3dTRbvZlt1NEjzBE9nIjevggO3whUQm2d4,5983
pandas_tutor/tests/e2e_golden/last_line_assign_01.py,sha256=VaUUP1TNrOE0BmAsD_MFRfWYwJrIB4CfPalQeMgNdyk,461
pandas_tutor/tests/e2e_golden/last_line_assign_01.py.golden,sha256=VbJfa7dnga1pGnQHs7NZ3vhn5DxDr4CY_hcQ3iEy3wo,4396
pandas_tutor/tests/e2e_golden/last_line_assign_02.py,sha256=d4WxTrkVSC5ujB9V8jmEz9sWD6B3Ud90QO-v-5_iAIA,510
pandas_tutor/tests/e2e_golden/last_line_assign_02.py.golden,sha256=QBhDZmk9BFeOntpjL2ApBKv835QGUpKxdaUKZbcJuI4,10360
pandas_tutor/tests/e2e_golden/last_line_assign_03.py,sha256=CLqnZQcyhjo1e-9EzGbejrxXfbLigdH1Z6EmCOHu85Q,277
pandas_tutor/tests/e2e_golden/last_line_assign_03.py.golden,sha256=m64kFB28NdpE1U45UoGSlneRGvKqAyJUVj9P4dv-Vt4,343
pandas_tutor/tests/e2e_golden/loc_df_into_scalar_01.py,sha256=_tSdNsmiQhsNis7Cf_Tv0U5Uq_JlyxC3byiitC-aFRg,419
pandas_tutor/tests/e2e_golden/loc_df_into_scalar_01.py.golden,sha256=o_mh3jyh3XQd3TKmK89AGl8aP4w6vcEju2pY3i2DYwA,2330
pandas_tutor/tests/e2e_golden/loc_into_series_01.py,sha256=ASBruZcnKynpV69M9_QE0pHwB6kGqYrufX58gBDUS0w,399
pandas_tutor/tests/e2e_golden/loc_into_series_01.py.golden,sha256=F3fXOJehJfVj-4Ov3E5qv_mvEIUF8qaYfVzYEItWnTs,3227
pandas_tutor/tests/e2e_golden/loc_into_series_02.py,sha256=fpveDY6YY-0hNrPBrWnS9yD0EdlqZ_toHqkzvPN9eSk,410
pandas_tutor/tests/e2e_golden/loc_into_series_02.py.golden,sha256=utAJQaYeHc1yRp6puC02bqogTifmb2xM4VTtMCy6MxI,3190
pandas_tutor/tests/e2e_golden/loc_nested.py,sha256=Q0_tDTdHOrTtjh2iJoojSJwc4f4N7DaFlAph8XlkzpM,432
pandas_tutor/tests/e2e_golden/loc_nested.py.golden,sha256=T_w0i24KnKY4cq9TOV93I3zKer13HP8SU0ZnCwMFtUE,5860
pandas_tutor/tests/e2e_golden/loc_of_series_01.py,sha256=XB-KZ-zs7mIvnVQUTFgE6Q2iVLgfejDYYaeX0f-4IAE,96
pandas_tutor/tests/e2e_golden/loc_of_series_01.py.golden,sha256=uFfdYSgnQqRcUHBjOvi6r--z7UzyCvSpCLimDFtn7o4,1730
pandas_tutor/tests/e2e_golden/loc_series_into_scalar_01.py,sha256=fMJO4dbBazw-W9SOeua183l4L1Mf7bQWbGmGa6nM_HQ,399
pandas_tutor/tests/e2e_golden/loc_series_into_scalar_01.py.golden,sha256=Qd9byl4UAppw2qi3zlyJO4whQr7HVXHiK0xDFfidfJ0,1669
pandas_tutor/tests/e2e_golden/loc_slice_01.py,sha256=1z5sg2DjNlUUcCVYjKGwPxNy7lKFhTig2JGmdWL4XBE,504
pandas_tutor/tests/e2e_golden/loc_slice_01.py.golden,sha256=_2_xRZ7O0jOYu5IP9CvU_PDON5fhEEYa5kTwQpo9ijk,5743
pandas_tutor/tests/e2e_golden/loc_slice_02.py,sha256=XLFKuMM-6f3PdGv2D9p98oW1-NKDfZwk4-jwMd0-wy8,513
pandas_tutor/tests/e2e_golden/loc_slice_02.py.golden,sha256=OkHITip-aUq7qMKs5Z66wn1UCf8H5GwQdCr0ApHSwBg,4564
pandas_tutor/tests/e2e_golden/loc_slice_series_into_scalar_01.py,sha256=WyLFhzHkGtf8d1-8g65prLwCjb52goY3B5FX6i_8aIg,394
pandas_tutor/tests/e2e_golden/loc_slice_series_into_scalar_01.py.golden,sha256=dOSorSTCmXGxnL1KoHw_CEt0y5xEVCTDruj_sE8ta_Y,1666
pandas_tutor/tests/e2e_golden/loc_vs_iloc_01.py,sha256=IMR56MHdoUXFaDrqHxIg_d9gihrbdDdmQSHdsJaHv-g,602
pandas_tutor/tests/e2e_golden/loc_vs_iloc_01.py.golden,sha256=_4hmx0CMX2igef83hZ8srmobFlSADcROAiBnThPjq8g,10485
pandas_tutor/tests/e2e_golden/loc_vs_iloc_02.py,sha256=RS-31lr0uDvdhddDX-re6XNyahYaSIuyssVk80eqx1g,601
pandas_tutor/tests/e2e_golden/loc_vs_iloc_02.py.golden,sha256=fNB_tDFs4D4jRVpSo1s1XiMW7fLwsqCj-K57TEgAJqE,9490
pandas_tutor/tests/e2e_golden/melt_basic_01.py,sha256=L6c4f1YihTi9NmJi-rVV84Oxm5ywWSgZ3a7S_B31tWY,269
pandas_tutor/tests/e2e_golden/melt_basic_01.py.golden,sha256=fk6w2oZrYXnYAZ_YEsYchvh6tHJFFh0koFIqeBdhEuM,7125
pandas_tutor/tests/e2e_golden/melt_basic_02.py,sha256=eGE9k5DlD-EfL5laOuIXGOL5LA5auIaspUE0-eWSAiw,354
pandas_tutor/tests/e2e_golden/melt_basic_02.py.golden,sha256=Veoeoh5CZjHaK9-s_WAX-Ok-rquApm2TgKX0JSUZRxI,7238
pandas_tutor/tests/e2e_golden/melt_default_var_name_01.py,sha256=ZZj3AP7-2esenFYfS3S5Q3AX2nGyV_oadAuachYx6G0,376
pandas_tutor/tests/e2e_golden/melt_default_var_name_01.py.golden,sha256=xYTAuBTFwid8XKahMruYWMt0_A50NhPSriIHId-uQhY,7217
pandas_tutor/tests/e2e_golden/melt_ignore_index.py,sha256=8qkeJzwemhMCGS8OVJCWq5UBEb_cL00w1DlPdKa99hM,359
pandas_tutor/tests/e2e_golden/melt_ignore_index.py.golden,sha256=o4mhwygNqZJv1Ao0VnFeHv9KALi1IRzRxREtC7Rfems,2463
pandas_tutor/tests/e2e_golden/melt_index_01.py,sha256=JXTIJ-JA25Zo4uqgI1t2gE0k9VYl_jidxHcgkuJvaqA,322
pandas_tutor/tests/e2e_golden/melt_index_01.py.golden,sha256=0wbM7FirQZbTJ0S4zpmYqrJ_2bU_afdvT5af-csh008,6967
pandas_tutor/tests/e2e_golden/melt_multi_01.py,sha256=LXS5kLBQwDFfSSEXZlY2TJSK4PPlQwMXPimq9hXIzRM,346
pandas_tutor/tests/e2e_golden/melt_multi_01.py.golden,sha256=D8D07IauJtnmhcagGvIp3QkRY0ngCvRSvvofQmiBraA,2318
pandas_tutor/tests/e2e_golden/melt_no_args_01.py,sha256=wSmKnSpvk2_EIIB8RIOoFVbHteYvDHgDmXZDjFArEgU,283
pandas_tutor/tests/e2e_golden/melt_no_args_01.py.golden,sha256=geEm-DmZg_m2mXYx1CocZygTK5K3ZXHQJb4s_bkRPtI,9609
pandas_tutor/tests/e2e_golden/memory_cap_data.py,sha256=d6Nyfb6jJ42G5hV3sm_667eEO1AC2tnAAEiEsWZpItY,148
pandas_tutor/tests/e2e_golden/memory_cap_data.py.golden,sha256=Q5oSGm3RmzaZcfy09msyBEzCClVkWe6M9AfKuwssc4g,14180950
pandas_tutor/tests/e2e_golden/memory_cap_ok.py,sha256=T4d2wDjUdv622vKfnPWlJdy-jVkCeWmzvsdW0V-5XvU,207
pandas_tutor/tests/e2e_golden/memory_cap_ok.py.golden,sha256=NXPqnmk90Lhzubc0_ZXUtmBk9lu5Gl1eYMgMloISBcM,10454
pandas_tutor/tests/e2e_golden/memory_cap_pointers.py,sha256=nK96g7q8jkPTCAXQBWN6bypUIWWPVw1BDwk0QUAycDY,377
pandas_tutor/tests/e2e_golden/memory_cap_pointers.py.golden,sha256=coWviq_E9vnM09ILKZ3Pp2yKHu_hsVLcbrqF9ANows8,806
pandas_tutor/tests/e2e_golden/memory_cap_string.py,sha256=ADFMyhH1oTUZeYygTGn-zm9_ql20msewmvi_NkysXPw,117
pandas_tutor/tests/e2e_golden/memory_cap_string.py.golden,sha256=PzTEZQu_O39cPg2XQpFGNBFb-h71UaFkBTVbERBpRtU,539
pandas_tutor/tests/e2e_golden/merge_basic_01.py,sha256=utS-Tv_KBL8IzasNeVV1bKRPj7N0WttdNvUWKgx3fHw,358
pandas_tutor/tests/e2e_golden/merge_basic_01.py.golden,sha256=ZTTemPiho2aFGYRCpf43mVfILUtsZ6z1aZ2MM6Q_Krs,7349
pandas_tutor/tests/e2e_golden/merge_default_on_01.py,sha256=UFXFmg8cGX4aDQ0_kcRpkwMGM1ircumyMIlhHvTzXlQ,206
pandas_tutor/tests/e2e_golden/merge_default_on_01.py.golden,sha256=DBESUTlXAZmXaza13NfDjM6bvl-BELrzD-QOHnyTJZA,8244
pandas_tutor/tests/e2e_golden/merge_index_01.py,sha256=em-hqVHE1rJ3VERDrV-xoVJCbm2yKd4OgPnWHFvPLXY,409
pandas_tutor/tests/e2e_golden/merge_index_01.py.golden,sha256=zUHnVP77CLKnNjBakp29u3oUWzlZS5NG80x1Qj8_e-Y,5617
pandas_tutor/tests/e2e_golden/merge_index_02.py,sha256=GC-rkg96MQj-4V-QrozkcgpFhkKuzLmaw_5pNh_OuFY,478
pandas_tutor/tests/e2e_golden/merge_index_02.py.golden,sha256=NZwuHoCnzIaXT-Q9h79w21qhFMrkNTgIx77IinJ7-5g,3448
pandas_tutor/tests/e2e_golden/merge_left_01.py,sha256=x1gX26GNiymkZZfex_jxnaeppcHUIp5xbUCL0e_2wGA,370
pandas_tutor/tests/e2e_golden/merge_left_01.py.golden,sha256=N3-ETk2R81viGeiOkxQFYAJOiAwW7Pgd_oNNGzPwkv4,8186
pandas_tutor/tests/e2e_golden/merge_many_matches_01.py,sha256=yVfy0rfw-fRkRKwc0z4cZQ-BAenalEY6-T7dAJuftX0,483
pandas_tutor/tests/e2e_golden/merge_many_matches_01.py.golden,sha256=oGn-oA64-9VclTV6I81mOkKJGqx5K2MBLJILLkFczUo,11146
pandas_tutor/tests/e2e_golden/merge_on_01.py,sha256=UHI3JIdmuxhwBHiL6SYGcr_jjk5kEaRBDfQ2qo0R6W8,399
pandas_tutor/tests/e2e_golden/merge_on_01.py.golden,sha256=UWlV8MO7jBe-uMyIUZ_SqnnZ73nHfqbnVBZstsoCsyk,7065
pandas_tutor/tests/e2e_golden/merge_outer_01.py,sha256=ZeKKq5gP_LBR_z_X6Js4TtKctZyXVR5nvabZTqwKf5U,371
pandas_tutor/tests/e2e_golden/merge_outer_01.py.golden,sha256=hLR9ha_rguE6sQL3uizEQd2HuIwASo8l5eMD259MrYo,8664
pandas_tutor/tests/e2e_golden/merge_right_01.py,sha256=eGrlBINJY05V-JZcd6HcN0G83GLRgrnSzpG0QN87nTQ,371
pandas_tutor/tests/e2e_golden/merge_right_01.py.golden,sha256=uGGBRXfp2GZ0WHBFUuX_v1SAXufcg1xQq56LuJLITQ4,7867
pandas_tutor/tests/e2e_golden/merge_series_01.py,sha256=_UEmY3x3dhY8R_JKndWsux0wTOJZlvlzY4GgiR4qSns,418
pandas_tutor/tests/e2e_golden/merge_series_01.py.golden,sha256=1t_bC-3gDNrozw-AppVKFSsHu1zTJGPle1qN-lcMXzI,8838
pandas_tutor/tests/e2e_golden/merge_series_02.py,sha256=gKKPd8Nu8JCaD10CFjGl0NRDdxhiEc2EpeLBzEjVQtQ,455
pandas_tutor/tests/e2e_golden/merge_series_02.py.golden,sha256=ZUxyH397jKyHh9I__e5Wa9LnZdIINEzRgzOrYWmxY8s,857
pandas_tutor/tests/e2e_golden/merge_suffixes_01.py,sha256=nZIjB6sMf7U2EM6D1pzTQjMFkeNFMEN4LE7N3vE_260,453
pandas_tutor/tests/e2e_golden/merge_suffixes_01.py.golden,sha256=b5Iqc3daFI62ChoRQWzmXo9ZqADw2bSTiUpK1tQiq8k,7445
pandas_tutor/tests/e2e_golden/na_vals_01.py,sha256=h7RdSevolZLQo_q5ifSBBPnXGoFV8NEc5fXXqeCLA2Q,857
pandas_tutor/tests/e2e_golden/na_vals_01.py.golden,sha256=ZQ9eaWNDMnTetLoI96oqUOHnxpQ3p9at8c77xpHAmik,6191
pandas_tutor/tests/e2e_golden/pivot_basic_01.py,sha256=smX9HMI6gIlKkP_m_n6GcVPqUV8W6UkuHUTnCSYKk4I,322
pandas_tutor/tests/e2e_golden/pivot_basic_01.py.golden,sha256=KezHdLC78x5nnbYnsknO4_XLGfOhFPcH31qSlhv7cKU,6346
pandas_tutor/tests/e2e_golden/pivot_columns_01.py,sha256=WGV6RM9Dw44lMHh8x6Ai1fd24xBpnREpYFeRncKaNKI,304
pandas_tutor/tests/e2e_golden/pivot_columns_01.py.golden,sha256=fCZxEPw1ysdFKzSgK_3XaITU8Aa12lWb3JuSbSi_FJI,12380
pandas_tutor/tests/e2e_golden/pivot_empty_01.py,sha256=xJeH6uYhpy5Fwle6qPoB4UJCA43RGbdwHZ4WtuBDIqg,535
pandas_tutor/tests/e2e_golden/pivot_empty_01.py.golden,sha256=ZjUdyJnX-d8qw6DMWQcem4Ac1_CvYu_cKHuEcwN0FnA,3314
pandas_tutor/tests/e2e_golden/pivot_empty_02.py,sha256=h6ErIRxl4wLSlNCW1nz1_AxSY0kS3Nd_8YU-RnUz0YE,368
pandas_tutor/tests/e2e_golden/pivot_empty_02.py.golden,sha256=8VcM0EsU4z87C2KibMHVK4O2KNNs417cb9rRRhW6Gbc,2539
pandas_tutor/tests/e2e_golden/pivot_indexes_01.py,sha256=ToLft69YS4nbmXnh98oPcqfOid5sD4u4anBSyHGY3rk,331
pandas_tutor/tests/e2e_golden/pivot_indexes_01.py.golden,sha256=qHrZxYidbrcX9yD7GRvvZ7iCzk75-9x0AJ-208mY3FU,8264
pandas_tutor/tests/e2e_golden/pivot_indexes_02.py,sha256=t-_dZqqp3jJ5ks1K6pGoqcUd17a8WyrCb8APGK3pRHY,367
pandas_tutor/tests/e2e_golden/pivot_indexes_02.py.golden,sha256=BtkbQm13d0gF7EGdX4D9fB4m4x3wCn57WwYCx8idwwg,8852
pandas_tutor/tests/e2e_golden/pivot_values_01.py,sha256=j-qas15fSsKhytJ8RJ6-t9-UuWlVWRlr111mK-U3F4k,320
pandas_tutor/tests/e2e_golden/pivot_values_01.py.golden,sha256=XvN6YS7wYcQ8iMN4Qgnfko_8Yx52Pqj51hmFDzxfdes,9906
pandas_tutor/tests/e2e_golden/pivot_without_values_01.py,sha256=rvS-8sm4EhLN9TGOaT2XLEj2-o1ADglauJ0aviqOb0c,308
pandas_tutor/tests/e2e_golden/pivot_without_values_01.py.golden,sha256=iwfMfkLiLMnfiuE0fT4-d34InGgz0_yLD-hyfzMjgCc,9994
pandas_tutor/tests/e2e_golden/ptable_basic_01.py,sha256=ZAnFyAAmTJoaVSIhp3ANBuvAeWoWAosVO7R_ASNYWng,484
pandas_tutor/tests/e2e_golden/ptable_basic_01.py.golden,sha256=WoDSbJpMOmSKvJN3nddFl_oOfXCIqkDiykjaQJxNOPo,8480
pandas_tutor/tests/e2e_golden/ptable_implied_values_01.py,sha256=O4TLf2AldpbF47jtqxneuoVMdB8ZFpEKdhTOopO91lc,493
pandas_tutor/tests/e2e_golden/ptable_implied_values_01.py.golden,sha256=beWz2USlRKVzereZMUkFfMjJIhcF5567-8Fo78k03qw,13774
pandas_tutor/tests/e2e_golden/ptable_implied_values_02.py,sha256=wi_DEvQPpnkzUm_tuyqU2_giNaJrCkQjrwEVt91t4cc,448
pandas_tutor/tests/e2e_golden/ptable_implied_values_02.py.golden,sha256=owH-3t_DHivKudxvitMVu72DlXDDdpUakW0heOJZX5I,11128
pandas_tutor/tests/e2e_golden/ptable_implied_values_03.py,sha256=q0BlCusxtVnqp_Sp_7KCZFJcU4xvZzZOminGQ23wHjc,473
pandas_tutor/tests/e2e_golden/ptable_implied_values_03.py.golden,sha256=YOfm6_dtAsHWbIdtfAs6O4oNHdjA-EW7E2GYjs5bbB4,18521
pandas_tutor/tests/e2e_golden/ptable_multi_agg_01.py,sha256=nhfthF8tPPk16jI5qRB-qkuZNqzrhJJTnELfQmb6ALQ,545
pandas_tutor/tests/e2e_golden/ptable_multi_agg_01.py.golden,sha256=N-ynBE2fehPRzHaQEwSQIe5jRGfmlFebQD43F9v7zJY,13931
pandas_tutor/tests/e2e_golden/ptable_multi_agg_complex_01.py,sha256=ZIvh-Z0Y3bGXUDdz-LdJrlmc9GnC1gy0PB04P1W6FDc,531
pandas_tutor/tests/e2e_golden/ptable_multi_agg_complex_01.py.golden,sha256=HoTccS5iZHMQ58e4XBJvPl-iWFRVXrtgI4dHdLf_doA,5679
pandas_tutor/tests/e2e_golden/ptable_only_columns_01.py,sha256=OktUFpXeYFihMF71U8KIglLgD3NrAnvGrdDvNdLS2WM,495
pandas_tutor/tests/e2e_golden/ptable_only_columns_01.py.golden,sha256=LPvPcpIX54hp5o8Ppv6q7Vo73FjsmWCeVRvkzsSm-do,11183
pandas_tutor/tests/e2e_golden/rename_cols.py,sha256=uhVGoTFb4oji9r5HgYGX945hgKDqCzcMoX1Dc1SOiEs,440
pandas_tutor/tests/e2e_golden/rename_cols.py.golden,sha256=_jVMAdw4ZzZRLxNMxvRuCoXCQAPLs1dmn7CguFkaHcI,4765
pandas_tutor/tests/e2e_golden/rename_fn.py,sha256=GjHmF8wdcqiuwA1D9-TmAbtvGqMjnogVgAqyWc2Uq8M,550
pandas_tutor/tests/e2e_golden/rename_fn.py.golden,sha256=ImR0QMetWrmp0oLohGgGxMa5Ziv0woS1yqLcps_gXrM,4168
pandas_tutor/tests/e2e_golden/rename_rows.py,sha256=5Bm1U2kh8B_C9oxLo8HJ6ZfrZXsz1Hf7yKM2zB-md9c,427
pandas_tutor/tests/e2e_golden/rename_rows.py.golden,sha256=Z3mjQ-RhqBG6zUQx4jVjEX4WNOY68E-VDDF15OhmXIw,4737
pandas_tutor/tests/e2e_golden/rename_series_dict.py,sha256=aXOGi3tbmtFUPDryf-z1itp-2VvlrM0WlDQbrAiBedE,428
pandas_tutor/tests/e2e_golden/rename_series_dict.py.golden,sha256=qZ87edz-tCGdfVZF4OJ6UngHlDK2VMfDJkXzuBrKwmE,2407
pandas_tutor/tests/e2e_golden/reset_index_basic.py,sha256=N0uM8Ec1IJ1frq0DvvHkxN_Tkx6WJ72ISxju2XFiMZI,401
pandas_tutor/tests/e2e_golden/reset_index_basic.py.golden,sha256=9AqkKhDrPgdGSu8swx0T3fYmEFM1abCmvd5eYTTI6lM,4496
pandas_tutor/tests/e2e_golden/reset_index_drop.py,sha256=KoNZuY30Ps_bfCsyOeaOzeDL3sLHNMIOmG-LqDJJUnU,533
pandas_tutor/tests/e2e_golden/reset_index_drop.py.golden,sha256=JMX5KqKW7_72nk7YzhzVmdwL8K0JS_FaM3sNN6CJcdg,3368
pandas_tutor/tests/e2e_golden/reset_index_level_01.py,sha256=EPTjJNHA4r15pM46TPUDFQH0LfVYu9WgeVw4jBjJqTI,522
pandas_tutor/tests/e2e_golden/reset_index_level_01.py.golden,sha256=5_3Od_dvTem3CrGVTFfG-DLlTUO2A1qilsQUfLzWoaw,3642
pandas_tutor/tests/e2e_golden/reset_index_level_02.py,sha256=wj6x1PXBYswlkE8mcxB7jYM_zMgNzMT2NQSLg5Z8SWU,587
pandas_tutor/tests/e2e_golden/reset_index_level_02.py.golden,sha256=b4jmSsiVLWAZfeRmlsWCws_TomLzn4tQh_jZZcKjzF0,3863
pandas_tutor/tests/e2e_golden/reset_index_multi.py,sha256=uDQL6NxPjGQRFf0REmjXXcaeiGo6OxHFI7vHpqoqoKA,520
pandas_tutor/tests/e2e_golden/reset_index_multi.py.golden,sha256=oNzqsQLvVBwg0-Lsi3QBq4pq3brjSQMoKBguHyvpl6U,4241
pandas_tutor/tests/e2e_golden/reset_index_series_01.py,sha256=u8v-H3dIxR2SR0XaOWWMHy5KiNetwoK85fJbxDMl3Po,429
pandas_tutor/tests/e2e_golden/reset_index_series_01.py.golden,sha256=8Ku7lbjUlbhx-Ns1WyW80CRJ4CoagxXlrUqt6U0gk_0,4952
pandas_tutor/tests/e2e_golden/series_as_intermediate_val_01.py,sha256=Tkh4p2YX-tNqdBfGTPX065THOHwhMRIvGQFNRioN53w,408
pandas_tutor/tests/e2e_golden/series_as_intermediate_val_01.py.golden,sha256=ygAN-NEtGF52Eodkgo6CdqbfQ-RTdfBLsKNc7EZFueM,4469
pandas_tutor/tests/e2e_golden/set_index_01.py,sha256=1fwl39IE6r4ZlHyJCGL5VYR51dkeW7FbC8_tA3mlE_Y,407
pandas_tutor/tests/e2e_golden/set_index_01.py.golden,sha256=2tFYr1IlgIfj2Lv5awZUZ7PsP1N9x8rfKlNWCEryf2M,4627
pandas_tutor/tests/e2e_golden/set_index_02.py,sha256=2TBdE53RApGQ2OzGv13_SQAlcV3O1GnMiyvO8kWXH6U,417
pandas_tutor/tests/e2e_golden/set_index_02.py.golden,sha256=Lb6Roz1JxvDrPNjwbZJzzuQvD-bfqu574-2eURM19QI,5636
pandas_tutor/tests/e2e_golden/set_index_append_01.py,sha256=EU20WGLbqx-cWZnseXhUwuiT3LvQrhXKM_B8bzYnAV8,430
pandas_tutor/tests/e2e_golden/set_index_append_01.py.golden,sha256=u7XTU7erg-E6n8pBGMLunMnzs8notJqcFKU3k52d57Q,5815
pandas_tutor/tests/e2e_golden/set_index_drop_01.py,sha256=VEVPGCKqAaNP9243GLghgaJBoqQvQq96IapdFiyH13Y,429
pandas_tutor/tests/e2e_golden/set_index_drop_01.py.golden,sha256=1m9HwcNnotlLzhYRKPFZdItjpSKyrDnR0N0WAjEptSI,6080
pandas_tutor/tests/e2e_golden/slice_double.py,sha256=3Y_dfNvYCy9kRc94WQfGj6R98YQSWGMBYZU18QM1cIo,1195
pandas_tutor/tests/e2e_golden/slice_double.py.golden,sha256=XYRvCnwF--JpjA2jn3o9oiEKe5h6I1Pga4Z4TND3mto,9638
pandas_tutor/tests/e2e_golden/sort_series.py,sha256=-z6IP3z7SEyqXKoOxa1HHMtwTV4SQBv4ZPGoGiaiL-U,94
pandas_tutor/tests/e2e_golden/sort_series.py.golden,sha256=by7yEEKybrBtGR5umJooi3U0ahaNStk1OeDLmRgIEGk,2461
pandas_tutor/tests/e2e_golden/sort_values_basic.py,sha256=WOviZ19FM0jF4b3-gzQayt9b2uS5gb_SdmkfmgHK6Dw,496
pandas_tutor/tests/e2e_golden/sort_values_basic.py.golden,sha256=TQ1ZjWHOycpkK_v3MLQ-hdIbsN5YoMmQVqXGBk7l-EI,7756
pandas_tutor/tests/e2e_golden/sort_values_kwarg.py,sha256=Yb_PA0O2jyLb5Ft41rkLBRRyHBg0e4Z-xubxOP-xS1Y,507
pandas_tutor/tests/e2e_golden/sort_values_kwarg.py.golden,sha256=jYpiPui5ZxA8QH-Y7lrn5NF5EEaBpvbbqg6Wdc62jXg,7778
pandas_tutor/tests/e2e_golden/sort_values_twice.py,sha256=MPxhayxLCg06xeaELgNwFEHVzlWUqt2WpzZjdyO0UQg,517
pandas_tutor/tests/e2e_golden/sort_values_twice.py.golden,sha256=JZx8JpnDcqUuS4czV8HhJ5GAH16zPG_-UpmXspz-veE,13338
pandas_tutor/tests/e2e_golden/stack_basic_01.py,sha256=rT1xrG-sWHBZBeHpuphKW2DVNEvr-cy2yR53IQrY1Po,238
pandas_tutor/tests/e2e_golden/stack_basic_01.py.golden,sha256=UPostFcE18J6ybIEUKKuTAQqkLneeB8-x7SHIqr5weY,4558
pandas_tutor/tests/e2e_golden/stack_basic_02.py,sha256=tPoaqsnkYxRgQ1L0fSY6hQreiVBJXwswBLiRWS25TKE,530
pandas_tutor/tests/e2e_golden/stack_basic_02.py.golden,sha256=RHWOpc41QJR_AVET_X2crPr7B5dpQxH1IsPOewKMWFk,5487
pandas_tutor/tests/e2e_golden/stack_into_unstack_01.py,sha256=0_6iXUfjpj6WzNJXjCQNFZ2_CetPVlpJXfTi3lcnAGE,651
pandas_tutor/tests/e2e_golden/stack_into_unstack_01.py.golden,sha256=6s8ZH1TAjULqrC6PDAmzbIL5zUqnAxBNZLmj3PYJqK4,49638
pandas_tutor/tests/e2e_golden/stack_multi_01.py,sha256=iLiYFIX5ycobUcNeZ44R-aWbfNdk4zdvEHqyq71_tbs,440
pandas_tutor/tests/e2e_golden/stack_multi_01.py.golden,sha256=PmDdW_kYXDFEFRF7hAwMcjfal0pXwP5S8jeDZGeFeDc,6109
pandas_tutor/tests/e2e_golden/tail_01.py,sha256=2Ss8QpgDn4MEMFognAvEfN3wL_yfu6shq_TMVCNHgt8,396
pandas_tutor/tests/e2e_golden/tail_01.py.golden,sha256=2UtE4AKn9umjhP1xGBnvLs0ZYT9tPVvuicECDnDCTM8,3811
pandas_tutor/tests/e2e_golden/tail_series_01.py,sha256=iVzugNXXBgaSqlKVwHfbI7eo0Jh0GtAQaipRKOp9ZTE,399
pandas_tutor/tests/e2e_golden/tail_series_01.py.golden,sha256=5sFr_OHlQJV4TjRPgXZpSsbGL4xwRkcYeblT_qVqDzU,2215
pandas_tutor/tests/e2e_golden/unstack_01.py,sha256=0LZTASutKX57y6mjMF3JA6NHqLSXJUAE4SRm0vTbt38,416
pandas_tutor/tests/e2e_golden/unstack_01.py.golden,sha256=d1vDVmsJs8NUGuyC6BwsSfzmlwG-5DPBDDRTLIVa6i8,5251
pandas_tutor/tests/e2e_golden/unstack_multiple.py,sha256=ZBSQ93pTUKrmeJMaSPPB2NnnxsuNJh48Kvkh7nV_zsw,525
pandas_tutor/tests/e2e_golden/unstack_multiple.py.golden,sha256=pDHOCMRTzntfz676hLsDOS2dfEEV_1iHnN6x2hKbV5c,7857
pandas_tutor/tests/e2e_golden/unstack_series_01.py,sha256=WpOtA_VUg1E3bIY7HImQP4rN3_1ZZZgIEsmKaagyTVg,524
pandas_tutor/tests/e2e_golden/unstack_series_01.py.golden,sha256=6wIscmiQhSVpTaebFskjhyg14dcpVFPWEPl_pxc8mhU,6609
pandas_tutor/tests/e2e_golden/unstack_series_02.py,sha256=BrTtkVCyT_njK4xvOiztibyFbYLQloGqXQS6Q-Vbr80,560
pandas_tutor/tests/e2e_golden/unstack_series_02.py.golden,sha256=9UcM0GJXAUBhzSTn8GlfVq5xNw9QRz0tLioSNWODI_Y,5681
pandas_tutor/tests/misc/big_babynames.py,sha256=bC9O-qgpBaIbh_jRZtMTqJonx_HHNgbIO_4GKq0a2Gc,238
pandas_tutor/tests/misc/crash_groupby_plot.py,sha256=QT7NjVVjSlneiJCC2-I6V6ulh4OJZgYfh_p2HgyRdLY,1051
pandas_tutor/tests/misc/crash_groupby_plot.py.golden,sha256=1JP7iOe1_ejTLA1Tu_d3gxXQJi9WHIeXdo5qYh6fLRc,18349
pandas_tutor/tests/misc/filter_into_series_on_cols.py,sha256=VWhlqbsKLt_IYjC2T7WtIxs1Oao03zkO385Y4uIDikM,3712
pandas_tutor/tests/misc/groupby_getgroup_01.py,sha256=gFuMDMkkSKxveqxEHfra50ygiT7YXcdGaG2yVKoTIRM,211
pandas_tutor/tests/misc/plot_end_of_chain.py,sha256=gYhuQ9UHoHb8Lu2FJxgmUziSUjoYpXm4008U3z4fXj0,437
pandas_tutor/tests/misc/plot_end_of_chain.py.golden,sha256=tTGqOyAz1-yrOHXgkphKnGh36l6mgcbEgEo_1-KpOEU,22374
pandas_tutor/tests/misc/plot_seaborn.py,sha256=WsZ-7YUendvBdFZ0R_ilmtmJDSIi_w95mj8zt2YgFRA,468
pandas_tutor/tests/misc/plot_seaborn.py.golden,sha256=RO9HAE2GDXCw5Bl-HBaLCpV8NBB111C8IK0L7xL2ePk,13289
pandas_tutor/tests/misc/plot_simple.py,sha256=IRqqKBizVhHG9cL7qNGnZ2_WWkhZDFteT3PHsJuV-G8,395
pandas_tutor/tests/misc/plot_simple.py.golden,sha256=4LdKgJdiZt07TRwbb4yXnr03xCHDUsqER5SuI2kG0A4,34747
pandas_tutor/tests/misc/unstack_mockup.png,sha256=pWiKUgXC2AI4RCpzAu3OyUx_0mQmt3u7Me5zHT-GNxs,46489
pandas_tutor/tests/parse_golden/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas_tutor/tests/parse_golden/assignment_last_line_01.py,sha256=YOEIq6tflUNSJ5tzx3VJczgRUvjgz5JTXYfz2Lii5s0,255
pandas_tutor/tests/parse_golden/assignment_last_line_01.py.golden,sha256=ChRxuAA1O85HwZdVMVELYYRHjAcOSBatIFnFftozKI0,2539
pandas_tutor/tests/parse_golden/basic_chain.py,sha256=-JijKiVmYLHjQHu9GZrT1LPHivUvl7T61MhoitO9jJs,45
pandas_tutor/tests/parse_golden/basic_chain.py.golden,sha256=4RW87eRWpB0t1TU-mv1__Sf7G1PVg21OsAMvp5X5Xv4,2215
pandas_tutor/tests/parse_golden/boolean_mask_01.py,sha256=RG9iC3auo3eTV5xUjtDr8dGgAHnqXs6nwaOF3qG2QGU,1027
pandas_tutor/tests/parse_golden/boolean_mask_01.py.golden,sha256=nBErSCjG7fKNPCz0OG6Z8nNlTVnI8pmVs_GSZ7DpmVE,10882
pandas_tutor/tests/parse_golden/filter_01.py,sha256=6SHMFZb2VViedW9w1r4s8l3NOV9Mdj41XKKbw3m4-kY,497
pandas_tutor/tests/parse_golden/filter_01.py.golden,sha256=L5uArdkkf5W5ur2b1Lxgc7Ez3BP0FN9n_lWyIYVudVQ,4026
pandas_tutor/tests/parse_golden/groupby_aggs.py,sha256=G8R-57wolpbpaB3Hlmm4Kc9zSY_hFkMJLE6ESGu266I,324
pandas_tutor/tests/parse_golden/groupby_aggs.py.golden,sha256=0lpYXVKd20WKMBm-UGDBZp_wNGM6Yfv3-UPp38ZPZcQ,6387
pandas_tutor/tests/parse_golden/groupby_filter.py,sha256=gx1HBtH-gromZvU4zBVemaFr0W3mB43g04lwJQ_FBtw,584
pandas_tutor/tests/parse_golden/groupby_filter.py.golden,sha256=f-kxZisaetMwA_Gy-sri-71r92AH736UzBWxMd3a8lw,6468
pandas_tutor/tests/parse_golden/loc_one_val_01.py,sha256=uGxr8Uzo0G94GB7uvsPYhVcn1HeVNUSXvfVKNVhhuDE,491
pandas_tutor/tests/parse_golden/loc_one_val_01.py.golden,sha256=_lz2slA-S7DHtfdhvqZyzXpPvGX95aTVPAWOhXV4u3k,4268
pandas_tutor/tests/parse_golden/nested_exprs.py,sha256=17Svn-8k7O4leF_z_MQI-0LR95mJuTmokI_T3M4LP0g,199
pandas_tutor/tests/parse_golden/nested_exprs.py.golden,sha256=3o24pe1yeDg5sJfLsd1Wtv9V7Zykz7QG0kHOzvwoJTo,4141
pandas_tutor/tests/parse_golden/sort_value_args.py,sha256=TRY16OfHO96mbvYy6yPtXrPlGbjcC4MP6Mypw0FDGYw,343
pandas_tutor/tests/parse_golden/sort_value_args.py.golden,sha256=KtioTTLq1oBO8EsMUGorbQ45c4hyVK8O_q2neAbKb-k,4607
pandas_tutor/tests/parse_golden/subscript_args.py,sha256=11yodRziZ_iyhv2wAqjSsBoUep14WGYnml8IYJCtaLY,337
pandas_tutor/tests/parse_golden/subscript_args.py.golden,sha256=E25jNFDBR4EUWO41EWqPC-74ZCbfAw45cXEh1T9LiR4,14141
pandas_tutor/tests/pg_wreck_it/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pandas_tutor/tests/pg_wreck_it/crash_groupby_01.py,sha256=7vT5i7CJCdH9crCX1i4GQrpXuvB4jIZEgqwHteVx7D4,331
pandas_tutor/tests/pg_wreck_it/crash_groupby_01.py.golden,sha256=nKhiI4z_vKBd-gdUqGeUpoPNbO_MvyQo7_mplIW4N_Q,2613
pandas_tutor/tests/pg_wreck_it/crash_groupby_02.py,sha256=K6n0FeiOChRqVedqFt_UHXEMBWVLQ68ois9g9yA53UM,236
pandas_tutor/tests/pg_wreck_it/crash_groupby_02.py.golden,sha256=TKzpXj-vU1KXWRHKZTkyaBtZkp0m6uaIaeLFhWOXKHQ,2910
pandas_tutor/tests/pg_wreck_it/crash_groupby_with_na.py,sha256=S5h867Kp3OSkyvxP1ymddSM7db8LbW9PZdSCb-keba0,230
pandas_tutor/tests/pg_wreck_it/crash_groupby_with_na.py.golden,sha256=uw-zAJG0ofLztL3eXgnqX0MC6t1tkKRoBEKCrBjfJFs,5969
pandas_tutor/tests/pg_wreck_it/crash_indexers_01.py,sha256=ynqVDwVJwhduCeNHMpI15n9yYhuJBqeQrF6DxAYwbH4,88
pandas_tutor/tests/pg_wreck_it/crash_indexers_01.py.golden,sha256=32wJ2uJiehsLSogU8DaWftuHvx3j4Dl9tCB8GeaesJQ,447
pandas_tutor/tests/pg_wreck_it/crash_indexers_02.py,sha256=btIewR5a_vCQ7bg-9rsReEvm0esucA7N2KMkpPPr1-4,386
pandas_tutor/tests/pg_wreck_it/crash_indexers_02.py.golden,sha256=8dAg101O0lfem9atI2Dy1qFgLKkvVqE9zw8-mgxEScc,817
pandas_tutor/tests/pg_wreck_it/crash_indexers_03.py,sha256=j4QFQVi7y5YHpSL_FiSR9Gms0C_YdHcUX-u4vFwX5-Y,369
pandas_tutor/tests/pg_wreck_it/crash_indexers_03.py.golden,sha256=HcP7PrOBE0B5B1f577gKGYW5Dgh3cNj_TIYT0Xm5iyY,762
pandas_tutor/tests/pg_wreck_it/df-boolean-indexing.py,sha256=A_0jHfgOZxBl2k6R6W_W0wCAx5bLR-Nm_HeF0drMATg,499
pandas_tutor/tests/pg_wreck_it/df-boolean-indexing.py.golden,sha256=Mu5Wme5-ZBETFjBcquyk-qH9zcvvgS7nVi65g8-tDIk,3430
pandas_tutor/tests/pg_wreck_it/df-date-indexer-not-exact-match.py,sha256=NrELbZJRXYUi8hI1BP4JT_kPkGJfxx60XFXeCldK5QQ,589
pandas_tutor/tests/pg_wreck_it/df-date-indexer-not-exact-match.py.golden,sha256=GfSxAPKDJOuj-6ZNLpjlLZn3UglLfcLZkzdCy_42MKk,2934
pandas_tutor/tests/pg_wreck_it/df-date-indexer.py,sha256=sm3I02dtBjtJuL7EaBnYXOgienUj-qIR9l3qUAvBPRI,513
pandas_tutor/tests/pg_wreck_it/df-date-indexer.py.golden,sha256=cuawaU1UzOsDwo6E-7MCcpSQDo54r39A2TG2uEHsCVI,4143
pandas_tutor/tests/pg_wreck_it/df-describe.py,sha256=dbWFG5Ia-wIaLrTAnzT-qJiKRKciYtMhGzUqvl2V7jI,461
pandas_tutor/tests/pg_wreck_it/df-describe.py.golden,sha256=We62zyYhowcerXHZDNTITmy0n3Pyhw7AIIYU0bEgVuo,3740
pandas_tutor/tests/pg_wreck_it/df-filter-df-a.py,sha256=43S7y89c1G9Mx1U1xJCCcnE4R0Eqoampfh5Hw8KRfSU,463
pandas_tutor/tests/pg_wreck_it/df-filter-df-a.py.golden,sha256=GU3fIpKDZdSW8iKJfggvl-3dbmCYONKqlB33_Ap-o10,4269
pandas_tutor/tests/pg_wreck_it/df-iloc-both-rows-columns.py,sha256=1lYcDB-CjsgPAEIoNFn6cL2rCCZbfjJZId68gK28f1w,474
pandas_tutor/tests/pg_wreck_it/df-iloc-both-rows-columns.py.golden,sha256=IZBaZXpSD9phsuasdGzfFDcqb8XwsJpwT2oNRYIPDVE,4613
pandas_tutor/tests/pg_wreck_it/df-loc-both-rows-columns.py,sha256=yXe5vWL65obLsvAJq4OuMisned6KjBuJb_M3-jsFEc0,493
pandas_tutor/tests/pg_wreck_it/df-loc-both-rows-columns.py.golden,sha256=PRKhBUKfJ9tv6L6C_Saej1iu2hlfD1js9e6pat4SRSQ,4661
pandas_tutor/tests/pg_wreck_it/df-selection-bunch-of-nans.py,sha256=KdjEFkFyHzKb-sCa_BCVIs0jlyhn5NdElyvhB7BfCx4,458
pandas_tutor/tests/pg_wreck_it/df-selection-bunch-of-nans.py.golden,sha256=KdxYrdQX1KHzhi3gU_H4d5vJnH8EBjVumj2hHJHVOVQ,3388
pandas_tutor/tests/pg_wreck_it/nested_expr_01.py,sha256=e9XvFpRZMIxrT4rAyapzv9Uwij2Hfs15prfQUPlkcGc,589
pandas_tutor/tests/pg_wreck_it/nested_expr_01.py.golden,sha256=i6AveBbYkPKJYgN3TFU3TJSA3rk_C-zKg5MEXKmqMUc,2599
pandas_tutor/tests/pg_wreck_it/nested_expr_02.py,sha256=DNW5pVZJAm5IZmlO8ug3WyqAZVkkhJr-2r2cEPOk4ps,660
pandas_tutor/tests/pg_wreck_it/nested_expr_02.py.golden,sha256=Wbqb8CuzTTkNclBlH899sF-Hbl4tJmFcNQXvECYzLHQ,4019
pandas_tutor/tests/pg_wreck_it/parsing_warnings_01.py,sha256=rW_1Fl3mwvrxpTw8n1DZ3eqekTTvks2rNp5SA8jBYo4,3450
pandas_tutor/tests/pg_wreck_it/parsing_warnings_01.py.golden,sha256=VKhfk8P1VPCbAnIPP4-6GWlLYQlDgrhx8Rf14eHfvkQ,3905
pandas_tutor/tests/pg_wreck_it/parsing_warnings_02.py,sha256=2-ZzHazeEHOApvbl1RIu9zd7uutoRukAzkz92pSWQJI,3409
pandas_tutor/tests/pg_wreck_it/parsing_warnings_02.py.golden,sha256=1Ks13QeokZZNTvOwS0-kYOgfvFWxUpGT9uS_3TxgVjo,3811
pandas_tutor/tests/pg_wreck_it/stdout_01.py,sha256=4h2ka2mSShZDqBS1nqEmElAmJvXUKy9YN619tHjYEKg,120
pandas_tutor/tests/pg_wreck_it/stdout_01.py.golden,sha256=e1VkJlEGYKNyMSx-4rjcnN6Z7svZopQHzN05tCQONJg,620
pandas_tutor-2.1.0.dev1.dist-info/METADATA,sha256=beDxagDOQZsrT2ndMDrjCcDedj03VlrJZPyt7eU3PpQ,3263
pandas_tutor-2.1.0.dev1.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
pandas_tutor-2.1.0.dev1.dist-info/entry_points.txt,sha256=AB4-XveKrq9EhJwte8tOcpM1zjcAtrVPbPL7oXGTdxo,60
pandas_tutor-2.1.0.dev1.dist-info/RECORD,,
