o _~#g3@sUdZddlmZddlmZmZmZmZmZddl Z ddl m Z ddl m Z mZddlmZddlmZmZmZerIdd lmZmZed edZGd d d Zd diZeeddddZeeddddZd{ddZd|ddZd|ddZiZ de!d<d e d!<d"e d#<de d$<de d#<de d%<ee d&ddd'Z"iZ#d(e!d)<d e#d!<de#d$<de#d%<ee#d&ddd'Z$d}d,d-Z%d diZ&d.e!d/<ee&d0dd1dZ'ed~d4d5Z(edd6d5Z(dd9d5Z(iZ)d.e!d:<de)d;<de)d <ee)ddd<Z*ee)d=dddZ+dd>d?Z,iZ-d@e!dA<de-d;<de-d <dBe-dC<de-d!<ee-dDdddZ.ee-dEdddZ/ddBdFZ0ee0dGdHZ1ddddBdIZ2ee2dJdddZ3ee2dKdddZ4d$dLiZ5dMe!dN<ee5dOdddZ6d!diZ7d.e!dP<ee7dQdddZ8d diZ9d.e!dR<ee9dSdddZ:iZ;de!dT<d e;d!<d"e;d#<de;d$<ee;dUdGdVZZ?de?d!<dBe?dC<de?dY<e?>Z@e?>ZAe=>ZBdBeBdZ<dBeBdC<dBe=dC<ee=dGdHZCee?d[dddZDee@d\dddZEeeAd]dddZFeeBd^dddZGiZHd@e!d_<deHd;<deHd <dBeHdC<eeHdGdHZIiZJd`e!da<deJd <dbeJdc<eeJdddGdVZKddgdhZLdidiZMeeMdjdddZNdddmdnZOdoZPddqdrZQdddvdwZReGeFe3e4eDeEdxZSddydzZTdS)a For compatibility with numpy libraries, pandas functions or methods have to accept '*args' and '**kwargs' parameters to accommodate numpy arguments that are not actually used or respected in the pandas implementation. 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Use .groupby(...). () instead)setlenr )rWrr allowedrrrvalidate_groupby_func\sr)r]r^rkrlrmstdvarrcCs8t|t|dkr|tvrtd|dtddS)z 'args' and 'kwargs' should be empty because all of their necessary parameters are explicitly listed in the function signature rzAnumpy operations are not valid with resample. Use .resample(...).r{ztoo many arguments passed inN)r}RESAMPLER_NUMPY_OPSr TypeError)rrr rrrvalidate_resampler_funcqsrAxisInt | NonendimintcCs@|durdS||ks|dkr||dkrtd|ddSdS)a Ensure that the axis argument passed to min, max, argmin, or argmax is zero or None, as otherwise it will be incorrectly ignored. Parameters ---------- axis : int or None ndim : int, default 1 Raises ------ ValueError Nrz4`axis` must be fewer than the number of dimensions ())r#)r;rrrrvalidate_minmax_axiss r)rnrmr]r^rkrlcCs(|tvr t|||dSt|}|||S)NrS)_validation_funcsvalidate_stat_func)rrr validation_funcrrr validate_funcs r)r,r-rr.)r,r-rr1)rBrCrr1)r;rrr)r;rrr)r;rMrrN)r,r1rr1)rtrurr1r)rWrzrr)rrzrr)r*)r;rrrrr)rr)U__doc__ __future__rtypingrrrrrnumpyrTrpandas._libs.libr r pandas.errorsr pandas.util._validatorsr r rpandas._typingrrrrARGMINMAX_DEFAULTSr3r7r0r5r8r9__annotations__validate_argsortrArErFrGrOrKrPrVvalidate_cumsumrXrY validate_all validate_anyLOGICAL_FUNC_DEFAULTSvalidate_logical_funcMINMAX_DEFAULTS validate_min validate_maxr`validate_reshaperbvalidate_repeatrdvalidate_roundrf validate_sortrhcopy SUM_DEFAULTS PROD_DEFAULTS MEAN_DEFAULTSMEDIAN_DEFAULTSr validate_sum validate_prod validate_meanvalidate_medianrovalidate_stat_ddof_funcrprvrwTRANSPOSE_DEFAULTSvalidate_transposerrrrrrrrrrs&    ,