dataframely-1.2.1.dist-info/METADATA,sha256=HmQl9Iq1ynPrprFWCYAFvwe2_RD4p2Kcwuo81wdY7rk,3569
dataframely-1.2.1.dist-info/WHEEL,sha256=4qYHF3r3_wk9215EqUuzc4CZ76XfRcqOTn7Cv3gIg80,95
dataframely-1.2.1.dist-info/licenses/LICENSE,sha256=oA7MJlOpf7kSqqTIxHL4G9CSnpaMmCLIdbJISbsGSak,1544
dataframely/collection.py,sha256=D3vVyZv4GIZS1KVgx2lrP551Y37gsdiQl_DT05oUiUw,28058
dataframely/columns/any.py,sha256=LEkV6khFi_eEHAOzc-571smuXGRShz-DS_jMwpAQGQo,2498
dataframely/columns/bool.py,sha256=p8w6Db4PhWw6X36K0pi5M8wypLDvchCCzC5lZ7eE4rc,850
dataframely/columns/datetime.py,sha256=fVu2JGkH-EUNtL6Ywl6AAPrXr3XT8_rP6TwLkPu49mw,21662
dataframely/columns/decimal.py,sha256=97lcpe-NDRyiSwkluBLYyNY90_PaapcTa88CZ1N-u94,6829
dataframely/columns/enum.py,sha256=YzlrflCvReNRZbVerT5b83--XRXMLuoG7E0L8K3BXec,2828
dataframely/columns/float.py,sha256=6-PyvcD4f2T5wpkMxCu9Go5xHJwemguBhRQXks6OjO0,6753
dataframely/columns/integer.py,sha256=l7lS31If1X7Mi2BXFkHF_JHVGFqd8VP-klm8DOht8KY,10034
dataframely/columns/list.py,sha256=nkIKwYf4zr4KK2bFIDMR0s6MwHKU6AnLttDx9aSCk7w,6024
dataframely/columns/object.py,sha256=iE3uysOz4I778A2jYwbbazIDqsDnD6g6DyXr_wi23hY,2150
dataframely/columns/string.py,sha256=LpwANucXbFTNVZWwX6gZBMNvuaedfX72BnpnJXYS-pU,5159
dataframely/columns/struct.py,sha256=N_aAiPNLpVYznnX9RmS2IcyAWWNMm4Lwq6mW2F8o2AQ,3910
dataframely/columns/_base.py,sha256=EaikhxKjWyZxhpWceWPEGrPGJoa-ypvf7kBNxzA9Ago,7434
dataframely/columns/_mixins.py,sha256=F59piO_RkvYx8xU9n2WoNIatKoMiiH6gUJwJuDWbMhs,3309
dataframely/columns/_utils.py,sha256=gJFcTM1usmfhndIRAu6GWSlETfP5M2-wGIrpFv3O1xw,1454
dataframely/columns/__init__.py,sha256=WyZyloMISDzAPqCMxz_LDsXgCi1FoWB6kbw5lywSc6w,880
dataframely/config.py,sha256=B8mirBjFqHLqB2xhx6TZtotHu5kdst0FCgC6wWda0_k,1723
dataframely/exc.py,sha256=np_m_U-T11i340CMM42FGiAmFs9Rixva_yeIBYqddFM,4571
dataframely/failure.py,sha256=arKm2KE22qSpB3DVgCeXpW_xOtp8faUUGEa8D12bfU4,5209
dataframely/functional.py,sha256=NCrdNrW21sKo-MJZRcXSc2WRvH918v89MOcdArdoIXQ,3390
dataframely/mypy.py,sha256=mSEQXy-aVadOL5REW84aN4BHtX0oB1l-1ujfp_-HEZM,16141
dataframely/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dataframely/random.py,sha256=jcVPFHl2ebR4Tovm6NVrX79rvqubJxFCl6WX5p1N_7o,15254
dataframely/schema.py,sha256=wvrqnnFbWXdeQ5FKuJMjQ2M-3RKkG7r0cV59t9aXE3I,26126
dataframely/testing/const.py,sha256=XFj6BRg3psf_WsY07OpEmNwLQSmbfhdNMsF3xonnRWs,907
dataframely/testing/factory.py,sha256=Ir9y1Z4gzlP-joFn_QpyEF8JCeQ3epKbl5Ds_ub1tKM,1818
dataframely/testing/mask.py,sha256=jClrKS5lwg2IeimEEa3ZOcwFQplWg6amQB7DOZfaoJA,1710
dataframely/testing/rules.py,sha256=4rLKk_B3eVlEP4Tha_W4mQKFNYFMf9IcWSteF9Kstwc,1085
dataframely/testing/typing.py,sha256=iErst5YKu_ddUiFWcqGoT2CBxOunga_tphGnC6cavxY,585
dataframely/testing/__init__.py,sha256=nK3CwCkFtousuC8sRURcY10ssRrz1Tf6YWxT7ggIhKM,693
dataframely/_base_collection.py,sha256=RnGNeJaQsTC_rYPU350YJ9AnZZPBW6AY19XS0440S0s,12711
dataframely/_base_schema.py,sha256=xVSUs_qK6fTmigEOxFYxN-S3XVdR9Cp6dhKZdArygUg,7287
dataframely/_compat.py,sha256=fZCWb3hxnYJ8jBfJXn5FnEfxQ5Oip5kKdxBphXU4B4I,1168
dataframely/_extre.pyi,sha256=yhriKlngfxabruWG-t63tyGG-ZVwuLBZwFhQkPrqIdo,1962
dataframely/_filter.py,sha256=tk19-CuFYtpb8QoeXUPHsHmgy0iSyXJH1u54D8f0R5c,1484
dataframely/_polars.py,sha256=WWpRs8vtXNL590ZGdCU24ua20pIAOvg4qrnluWPuz9I,1917
dataframely/_rule.py,sha256=e9P7mC_cKA7eDraSeYJ1mIeeLMSJzCX19voOYj3-ut4,5620
dataframely/_typing.py,sha256=gJWDavCmfZ4OakpsZwLr4Vv3mmDq2Rk1LC9-hQ7D9Es,3732
dataframely/_validation.py,sha256=ecXxKHdB8QXg7HqnMJtc3Bfot6PIwlUUQhs_TQGHE78,2858
dataframely/__init__.py,sha256=EP68R9-wy0WeOl-1jOre9PwzbTw3NEiMyzvhG39LsHg,1830
dataframely/_extre.pyd,sha256=7ldYvgOxOok9AIJ3H1oexyY_Sw6cwWszf-URB3RZ1hY,1061376
dataframely-1.2.1.dist-info/RECORD,,
