sdmetrics/__init__.py,sha256=lpPrs72EOyi6I-dG8Khz-BhFd_gWljvlxOkIIPMGLJ8,5145
sdmetrics/_utils_metadata.py,sha256=kbA_tL6m6A6hDWUaUkRQG_FAp_CUwy2ZYXusRuSCWdA,5531
sdmetrics/base.py,sha256=xSiqoIqYSvyES_RphXKGkr3bPChWCLKydeNntnzIr2I,3338
sdmetrics/demos.py,sha256=t3NiRD3kO0tS5_DKu_KLcb2z-0g2sQISY6vUZms0M00,3092
sdmetrics/errors.py,sha256=9FAX897a_goTy28dzp0jOHe2jBSwRj06UgRx4ZlaSf4,423
sdmetrics/goal.py,sha256=UoINO67qrQjlyUvDhnANc09FUMCWwDMUJOpKZ1hn41U,300
sdmetrics/utils.py,sha256=BKT-eDpvq1ji5RY2vBkOOjaTK_M3tg46txUzW4YcM3E,10193
sdmetrics/visualization.py,sha256=WLR6hmtxueJpWCFKODmm94jCV6_F025J7E_AuBTyrQ4,30419
sdmetrics/warnings.py,sha256=4WyhLYWfmxbG9jE9THhHIvPVZtw0LKqIwt8HapbgkGU,296
sdmetrics/column_pairs/__init__.py,sha256=odRIm10Gp4hHVtmYG1WswjOFfYWVkANjwvxbuQmci2U,1019
sdmetrics/column_pairs/base.py,sha256=rUj6eeQOUh6YNMWtkbKjRgaPGxW9YBPHi5D1k1YZ-mk,1867
sdmetrics/column_pairs/statistical/__init__.py,sha256=X3ZGA3mLGiVOeZs8uYP8zebkD61KLuS8VpxL4A3z3NM,948
sdmetrics/column_pairs/statistical/cardinality_boundary_adherence.py,sha256=oZGd7OCWUO55OdkHe1CFFmzzjlYqD_I-ZmrX0E_MJwc,3270
sdmetrics/column_pairs/statistical/contingency_similarity.py,sha256=7odRw_vfslVNkeX171iVCoTJkdRcAHeuJcho5p9uuyY,7323
sdmetrics/column_pairs/statistical/correlation_similarity.py,sha256=zrR1XddlPDAVitb_7pgKDlnF61kR4QImRHNegq1-9Zg,6510
sdmetrics/column_pairs/statistical/inter_row_msas.py,sha256=xIpupVm5maflH-YyRHCYadFpArOcyCj25oxA4vR4xBA,5639
sdmetrics/column_pairs/statistical/kl_divergence.py,sha256=6vk5HrozjTwDcjLVILjP8iLrXUV4INJG83Ox_Sg61a8,4427
sdmetrics/column_pairs/statistical/referential_integrity.py,sha256=QK24MvDimkB9oUEWTuAAgnSotyhYR-5FXkTg8C1fMTo,3484
sdmetrics/column_pairs/statistical/statistic_msas.py,sha256=JH9zgNHxW9fyTdicUBO8RYqy2-ldHZ-eJaXqLrrMCtw,3620
sdmetrics/demos/multi_table/metadata.json,sha256=F3pbq5jjVt4HBMZ8pZLe9l5xbddrZXhjTh8xDhSonw4,2392
sdmetrics/demos/multi_table/sessions_real.csv,sha256=6jtcyWX48roXQFGyXVwUHh8VKNlsHC4E0qHkWuca1hg,195
sdmetrics/demos/multi_table/sessions_synthetic.csv,sha256=sxOx_YKxCv_wtRn2W6fiR2iU2vjGGVZBRhihug3F9Do,191
sdmetrics/demos/multi_table/transactions_real.csv,sha256=ayA2HEP4NI-GI-LqF2AL3UW6vQz9NWbOw5E1kiZPDFE,399
sdmetrics/demos/multi_table/transactions_synthetic.csv,sha256=X_HdnXqbXEfK2-F7DrVU5MHMdQ8c_obsy7VG3_amSLc,398
sdmetrics/demos/multi_table/users_real.csv,sha256=kL5NsKn36n3RHIILx5i01CAiyJn2aP6yoILcpvS0Bbo,124
sdmetrics/demos/multi_table/users_synthetic.csv,sha256=g7MoSeLxEuQiZXpyJhgH9YcrON26-k6uyRyt3hooGKA,126
sdmetrics/demos/single_table/metadata.json,sha256=vMgo701rhtkeIhdLm2cQzv5CWg1UO6yQ5j3NkZtd-tI,1783
sdmetrics/demos/single_table/real.csv,sha256=Y1o8Curi9vM3tSnNdYcBkKqsmBnl50UC_psCwRd4D9s,21159
sdmetrics/demos/single_table/synthetic.csv,sha256=ysRrKWQWFST77WcaNYWMVJ_2AST_kUWErzUiLcWmu7A,21201
sdmetrics/demos/timeseries/metadata.json,sha256=ZOskovfuTATNczOOuf_uls4fq3HzKtryRzz4JS1CLV4,734
sdmetrics/demos/timeseries/real.csv,sha256=FtEGSScLfEhVBVv7xh_LJ76VFvq7T9kEQ_5UjOxszBY,28256
sdmetrics/demos/timeseries/synthetic.csv,sha256=cYNgZJf23djnrscnQ1quZwyfpWIMM-rEuT8xup19ZLI,33590
sdmetrics/multi_table/README.md,sha256=iFInV4PNjO1cpycX5axI53GxUjDPfeNaTLjUIvQxuyk,4347
sdmetrics/multi_table/__init__.py,sha256=5170bQUryDk_XkVHZ3_mp7ZivWINnon4lLvOzzsBmlI,1675
sdmetrics/multi_table/base.py,sha256=lW-eOeIoBuGpSLYwK2pjbn81-wgwODrhcYlXkNFBIxQ,1447
sdmetrics/multi_table/multi_single_table.py,sha256=q627x4J8N6FZd5KACMo0NPDNS9b1_Wuus2pES4MkWGU,10786
sdmetrics/multi_table/detection/__init__.py,sha256=BmYY_HVdsCQCRWXPwIVjuLWEr40YbrZawaXR1EnUP5w,71
sdmetrics/multi_table/detection/base.py,sha256=ZliRT6eIds3akeSktm37EM9Culoj0mlOqTUXu8STjRI,2018
sdmetrics/multi_table/detection/parent_child.py,sha256=NmZEYcoymD5t915t2KM_HKRzr7ZXKktOqzsW--aXUlI,4707
sdmetrics/multi_table/statistical/__init__.py,sha256=S5ewGoDLJh2uFPwAxAn8LlAaVAwz64hG8I63SJyaxiU,346
sdmetrics/multi_table/statistical/cardinality_shape_similarity.py,sha256=bjUwx_-0pfZA8z8ZaYpIqSLc3Wfb49l0d6YrocRGZ0U,4821
sdmetrics/multi_table/statistical/cardinality_statistic_similarity.py,sha256=RD9zAhbuuSt-IsO90z8B2j72kjazODfN3TSXN-e8IiQ,7350
sdmetrics/reports/__init__.py,sha256=3LlAOZJu6Zk1ZdjsnqVVYASKKcm-iAFswGCh7JRXL5E,525
sdmetrics/reports/base_report.py,sha256=IqhqKq2yjReKheRs9CmhMVK5DOPGs3f_yCjql_NzxsQ,11634
sdmetrics/reports/utils.py,sha256=1eIUbxPuVNmZ610SeIZgvT_cAcP2k9UKLLQDCafSzYg,6657
sdmetrics/reports/multi_table/__init__.py,sha256=f4YHvEklqulh0df_vcmLqCxuH7uRmfEZi0xp5v_MEpI,250
sdmetrics/reports/multi_table/base_multi_table_report.py,sha256=pfcfqQ6K2E540ne_WI7caiepRw6CTRJ4vcSITwD44zo,7240
sdmetrics/reports/multi_table/diagnostic_report.py,sha256=jF5L4H1NYmVI28K6Hr7WkylkWIeoilHjkHMnpm8kmCg,906
sdmetrics/reports/multi_table/quality_report.py,sha256=BCqHp48XEnDWsu2Q2h0uRdcm8inqfjAaxGNU_TQIKxc,900
sdmetrics/reports/multi_table/_properties/__init__.py,sha256=c3HpqC8eC8XY_R0LARsUd0-sitgWaxmaQ2kkVhVPfV4,1182
sdmetrics/reports/multi_table/_properties/base.py,sha256=MSFwc2kd2aJKnO1wBzwdETA4WnYa-LGgNUjvQ-CaHv4,7477
sdmetrics/reports/multi_table/_properties/boundary.py,sha256=LwYUezEJKgEeRnIfXBlsdnHXCvg1j1F3eDyPIudm-EM,723
sdmetrics/reports/multi_table/_properties/cardinality.py,sha256=j5q7JXg5ufPxBI7OShqDlJtz_B9DOX7PfrnJi-nyg78,4812
sdmetrics/reports/multi_table/_properties/column_pair_trends.py,sha256=se1gPyybZkcSLYod23mkD_V7J_j-_OdIXHFlTtrTYe0,1268
sdmetrics/reports/multi_table/_properties/column_shapes.py,sha256=5atehFvxrwMiRJ8jfYcZjLEWiACuFhSA3YERQSjsAqA,797
sdmetrics/reports/multi_table/_properties/coverage.py,sha256=UjI10raqbDxuEFBlNDM-5QPg4nU7JHe_B3JJY86HCf4,777
sdmetrics/reports/multi_table/_properties/data_validity.py,sha256=EXaZSb2QCRyUzUkzlnv172GH9kRvt9ONrmuX15p6qtQ,906
sdmetrics/reports/multi_table/_properties/inter_table_trends.py,sha256=ZondhqRug74I48ylQMVXq_tYbeCN7fZP1ggxxAxDqGA,11898
sdmetrics/reports/multi_table/_properties/relationship_validity.py,sha256=z5C8Xyv-J-YO0gJxY6x8Hx_MWeq73XZ2L1Rmj9xIS1c,5229
sdmetrics/reports/multi_table/_properties/structure.py,sha256=98jjVcy8XfGO7lPob3LzCOVQz5Gr9u3pGDW_yYMV-UI,2227
sdmetrics/reports/multi_table/_properties/synthesis.py,sha256=em1wV07joMkPw6GBj5s6Af-tnmUmez9lT61REIWXINI,680
sdmetrics/reports/single_table/__init__.py,sha256=t1TIeKXzM-6haGB2Pc0_zOxyac8_ziVgXLtJ_0Vc58k,253
sdmetrics/reports/single_table/diagnostic_report.py,sha256=_NsckqRRShRPNglOjzgItuM_WdnqblANkTT0UJeVymM,698
sdmetrics/reports/single_table/plot_utils.py,sha256=0R-xWFx8J5o-KJA2fTFuhGMc4Lkdfn_HR7QiWNYWCrk,13311
sdmetrics/reports/single_table/quality_report.py,sha256=6QbduTsTXeuJ4HrNKi9FQuXSS5SCabD2_S68YQfcFx0,697
sdmetrics/reports/single_table/_properties/__init__.py,sha256=IGFIxb3kp5Ip6q_HdUNwHpUPyFgjYb_W_vgRBUJU_8I,857
sdmetrics/reports/single_table/_properties/base.py,sha256=iDFa-knY846uvH44DXOZqxpZLm-3_nRhQ_Vw92CA0Jg,2938
sdmetrics/reports/single_table/_properties/boundary.py,sha256=rjBSjZyxLQ3SOG80tgb768RfgHVFHFeQZSC1cl-pKLk,4310
sdmetrics/reports/single_table/_properties/column_pair_trends.py,sha256=FeX81gdAJ_64rUpUUEwlxGPWVUQTbZwoDt-4bVSKu6k,24614
sdmetrics/reports/single_table/_properties/column_shapes.py,sha256=WSuH5g2doEejhVzlaid-_-hHIASEuPpbQw7x53VXs_0,3976
sdmetrics/reports/single_table/_properties/coverage.py,sha256=zdZldRAmVdQW501iXDNDpDZLxv6_c29hUQY9NP2cFSc,3965
sdmetrics/reports/single_table/_properties/data_validity.py,sha256=0R4Fq769_q27H7JrYFWjWBpqUaC46yORUAXr5ChN8Qs,4874
sdmetrics/reports/single_table/_properties/structure.py,sha256=I7qmIOr0DqowZx4PvxCj-fO7ry3JnNdQ4EbymbdjuN8,2067
sdmetrics/reports/single_table/_properties/synthesis.py,sha256=9et4p0n4x0NKaolkF-RdKEvMrCjTLXXWBpXSjeeCq44,3201
sdmetrics/single_column/README.md,sha256=ikkxLpcBtwEbLuNg_qrG_KIde1pPBJAQ8FpOWJb0mAM,1656
sdmetrics/single_column/__init__.py,sha256=WSqFeOO5zY9IG9dUFnAsCnFxgVcdEIyUvpiCKp26Fjk,1351
sdmetrics/single_column/base.py,sha256=w6UK4Gf8DGolVLRfE34zqGX0VEnIUqVjCAygIPVMl9s,1938
sdmetrics/single_column/statistical/__init__.py,sha256=om-5hlb6SaBxSAOzKdPbhYjofAPGVNDq5uPX9KlNRVk,1218
sdmetrics/single_column/statistical/boundary_adherence.py,sha256=ZQqduSzjoYYqea1swUVpiDRb2cDIrG2RMt4qTu-QPhA,2244
sdmetrics/single_column/statistical/category_adherence.py,sha256=kYqBFa4gpFGX5vV8kjZcr3_yRC-oYAAaXochn1wUiC4,1914
sdmetrics/single_column/statistical/category_coverage.py,sha256=sOP_WbEAi1aCOe7of7o65WV1K-9Mdnl-tecDh6eh8LU,2805
sdmetrics/single_column/statistical/cstest.py,sha256=doDAzqm5Dmv6FUxaHIpdA0_GGTg9_xfH_CBNLQhSOXA,2120
sdmetrics/single_column/statistical/key_uniqueness.py,sha256=sFPvTY6gUpcNaeZI3zhCoAJPVrZi_y6FekrhUeuCGoU,2502
sdmetrics/single_column/statistical/kscomplement.py,sha256=ufpYSLmDsRDa0hgtMJrcX-L9I-jBkM71HXEFyNFwcUs,2867
sdmetrics/single_column/statistical/missing_value_similarity.py,sha256=1_ITocTc7_tQPBxgKZ3Ddmu8_d6CYSi2WauL9ZsepmI,2748
sdmetrics/single_column/statistical/range_coverage.py,sha256=ajF9bq3m4LNJJMVbhD3u54ybXK-VKHFSm-fOley0eus,2332
sdmetrics/single_column/statistical/sequence_length_similarity.py,sha256=F_Km02S2PeXP_ODCa2UKmLyeW5jeDcDvIKdtfMiEFAA,1945
sdmetrics/single_column/statistical/statistic_similarity.py,sha256=StWQEOXRw01wGDqu6-xNTJLh-cPnpVlX04wAc5pVnkc,3711
sdmetrics/single_column/statistical/tv_complement.py,sha256=QdAL3G136rSGtHUknlAf2gyifTbsi7mcMVporTKOdcE,2315
sdmetrics/single_table/README.md,sha256=ejHbCxSlonSKVtweblC7K8GbUV7hvNXwHKanZJt1cr4,10199
sdmetrics/single_table/__init__.py,sha256=jQ6TspD2ShJKMIYLB5c_Ju6qqFff1slCXPK5ybKTv0U,4400
sdmetrics/single_table/base.py,sha256=L_Znd9P79JyzvZgBIrl-xZEpJIzqN3hYXXc4VidaJlo,6709
sdmetrics/single_table/bayesian_network.py,sha256=KOo1KRhXuOMCaeVnZPJITaQSNOpsncQUwnUCYd-4vaM,9242
sdmetrics/single_table/equalized_odds.py,sha256=ny8G2zVNE30M6ic_l4EV2w2EOd6iD4DdP92fROoSIzA,16449
sdmetrics/single_table/gaussian_mixture.py,sha256=ZL12CaUN1dzQLhpWEms_Wj-0-pUIHIWbr5ES5OYB3oA,6666
sdmetrics/single_table/multi_column_pairs.py,sha256=0yJpPGRLCIu39KZcwk8qqIYDUZ9pFxYLyTqUBVMLqEY,9467
sdmetrics/single_table/multi_single_column.py,sha256=lj_zKHjXtjAKlFII0Nx0LbrMu9mQG2c5vFHREyCYo2E,9109
sdmetrics/single_table/new_row_synthesis.py,sha256=hA0cUudmlXmCXzv5jNYKkZbN54dh5XGfvITclXnCQwA,8822
sdmetrics/single_table/table_structure.py,sha256=UYstKbgiAKc8k9Vc26WVoNIvAuWQLC6d2Mn8857b0Ds,1997
sdmetrics/single_table/utils.py,sha256=H20LggI9X3IEe-kmqDykxbExB9U99Cut55b04AdC2Kk,6207
sdmetrics/single_table/data_augmentation/__init__.py,sha256=QFV1WUEExASniMZPeK4GqsNoOZUBO5d8u-Jej8Oo1Ug,402
sdmetrics/single_table/data_augmentation/base.py,sha256=-GvftY6IlMOrZlddpk5RtyWYbDY3cpWK0NaPQCgyFjA,11902
sdmetrics/single_table/data_augmentation/binary_classifier_precision_efficacy.py,sha256=KeIMTw-x1b6idf2ytHM30kjbmSrRjlq9uEQ0uBI0EA8,2556
sdmetrics/single_table/data_augmentation/binary_classifier_recall_efficacy.py,sha256=VmKTmwarb5lUEGCwlHmH1af61yDgee0YNqUF0UgHfA8,2589
sdmetrics/single_table/data_augmentation/utils.py,sha256=uc2htNsktAB_JoYRSGfS-fO7zCbvt2CKPTP4j-9jL1M,2347
sdmetrics/single_table/detection/__init__.py,sha256=p0A1k5nXcf9Qb2IiMQUj395JDFnz2i7aIrNTrorA5sk,203
sdmetrics/single_table/detection/base.py,sha256=XMCg_bozPo7fQiQGGpxMIFwXWIFXsXMclfbXxKNvRhE,5326
sdmetrics/single_table/detection/sklearn.py,sha256=JqET0PyUxikja5LX6CAas7mJQ5Fw9YaAxXUkeuy1lhU,2355
sdmetrics/single_table/efficacy/__init__.py,sha256=GgnoV0wgTiFR2wjvh6IBpCZKNJvuFiYB18-Z2VAmOsk,1094
sdmetrics/single_table/efficacy/base.py,sha256=NkVL41cl-MZKuTlMcgTiCVg-tmVfXxp6nVE2tkforo0,4836
sdmetrics/single_table/efficacy/binary.py,sha256=ebPowUEl_i7k0bVkrONlC5HuuNiK-fyygj6zvsP2T0Y,2979
sdmetrics/single_table/efficacy/mlefficacy.py,sha256=r3u4JNyk2zZzLWEUG6I-XFRCGnVEhxjeG36mfFeZ1i8,3897
sdmetrics/single_table/efficacy/multiclass.py,sha256=rQ9syqVmuXzF56WZCdwQofRnVQHM9IMZC_Wrdm-8ixg,1793
sdmetrics/single_table/efficacy/regression.py,sha256=nmt3s0AjtRyHEUv4z4u7yM2BzwwALSa-ljJL_8PL0rk,1389
sdmetrics/single_table/privacy/__init__.py,sha256=vWgVjXHl3rZQR6o5ACi63M--NrxCDTr4rL3uN_Jf7wI,1476
sdmetrics/single_table/privacy/base.py,sha256=BGAvADc5img7dJSH4ReddrCMkmhmqQ9Eveg9NKRdw7o,14018
sdmetrics/single_table/privacy/cap.py,sha256=7ISODmnEAsiT22GZFUoLoF1mUqYPBbFZxGcFGaDA3Mk,13907
sdmetrics/single_table/privacy/categorical_sklearn.py,sha256=K5QYuAUuGP5do0_VR10GLba9O5UyKgJzUg5pSjeoQiU,7988
sdmetrics/single_table/privacy/dcr_baseline_protection.py,sha256=rps3kQhIxePOfG2GjeiSvPqfNsetk8A0856tWEcsV6s,8676
sdmetrics/single_table/privacy/dcr_overfitting_protection.py,sha256=dJy5NjeQSznTFfgEyW2JnQIPlF_bmmFyBay837AmnU4,8164
sdmetrics/single_table/privacy/dcr_utils.py,sha256=KAw45rilM6vbQbFSifCleSV5hbpfnPbtfYcvGSFWkZ0,4808
sdmetrics/single_table/privacy/disclosure_protection.py,sha256=_EaKh31l9rBnUHNm-ThBupJmnmzOWmWVKG6fsXpb2xw,20620
sdmetrics/single_table/privacy/ensemble.py,sha256=uZ9rWIwNwl6x7lSUHKnkNAcBCH8JoHw5a3JlNPbmd4I,4250
sdmetrics/single_table/privacy/loss.py,sha256=V5hM6S_g3qZm9XzA8pdvFCNcbf5_kz_6V9UkI6wAwmc,2703
sdmetrics/single_table/privacy/numerical_sklearn.py,sha256=z4TO2778RYprdoV8VwqsvnANFViL5FclK3dQzSby8Y4,4149
sdmetrics/single_table/privacy/radius_nearest_neighbor.py,sha256=S72pYhSZwvdxVYbQLeLtKy8oLSFrnsK9lr-8gd05biU,4720
sdmetrics/single_table/privacy/util.py,sha256=EMDnuC25hzeU2ZKmK8OsiFu59YZB9_Qh0gprShanDfo,4661
sdmetrics/timeseries/README.md,sha256=gljcqDUQqULTif3UNpjd_wNpqOPlbdSk8vVt7IdvIoY,3359
sdmetrics/timeseries/__init__.py,sha256=MwM07bogf625xTp-kBGAPePgU01pI_TRmT_6NKJXj7s,615
sdmetrics/timeseries/base.py,sha256=jBJ-FV6fQ1wnPNNveq2gXG--mwyzq7TEkIAzMIFCs7w,3555
sdmetrics/timeseries/detection.py,sha256=1U5hjiW7X3Kpp7usD5S3_MgI9dYr1zBO2RxkTdAu84I,4005
sdmetrics/timeseries/ml_scorers.py,sha256=6JPUSdZGhUVgZsOV9aKS2SEuFecwrrZ41RhFLCkcyIc,2152
sdmetrics/timeseries/efficacy/__init__.py,sha256=CxZvh-YtkNgve82RCorOwlCXPVwfzoq8xeI81VlvUhA,386
sdmetrics/timeseries/efficacy/base.py,sha256=4i8_fVmJbFD9RHidXrkJRFF6nc6N_dOwWRvZwno9FTc,4277
sdmetrics/timeseries/efficacy/classification.py,sha256=z43fW8xG2mmtvaWDE6fcQrroeQa6Mvq2tgqMHqA2kKA,526
sdmetrics-0.28.0.dist-info/licenses/LICENSE,sha256=ExARmtKgC2jwXYYwmuoL8dOFPnR9T1ZGsb9gpaB_Cag,1077
sdmetrics-0.28.0.dist-info/METADATA,sha256=NUNaimJZrqJRKoCftmIsWqM452xnjPo0TBE_OKWGGlw,9935
sdmetrics-0.28.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
sdmetrics-0.28.0.dist-info/entry_points.txt,sha256=Iw9V9Bq-M4WIvZQsVwmfGxlCBqYUDSCpp603ynizBwA,47
sdmetrics-0.28.0.dist-info/top_level.txt,sha256=iG0uMEDtFAuXbT-MQYWK4PuxiQreKbAy41M6vCvCY1E,10
sdmetrics-0.28.0.dist-info/RECORD,,
