:i5 "SSKrSSKJr SSjrg)N) stable_cumsumc ^ URnUS:XaUS$URS:XaURS5nURUR:waOURSURS:Xa/[R"XRSS45R n[R "USS9n[R"XSS9n[USS9nUS- US-nUS:Hn[R"XxXxS-5Xx'[R"[URS5V s/sH#n [R"USS2U 4Xy5PM% sn 5n [R"U 5n URSS- m [R"U 4S jSU S 9n [R"URS5n XJU 4n X U 4nUS:XaUS$U$s sn f) alCompute weighted percentile Computes lower weighted percentile. If `array` is a 2D array, the `percentile` is computed along the axis 0. .. versionchanged:: 0.24 Accepts 2D `array`. Parameters ---------- array : 1D or 2D array Values to take the weighted percentile of. sample_weight: 1D or 2D array Weights for each value in `array`. Must be same shape as `array` or of shape `(array.shape[0],)`. percentile: int or float, default=50 Percentile to compute. Must be value between 0 and 100. Returns ------- percentile : int if `array` 1D, ndarray if `array` 2D Weighted percentile. rr)r)axisdrNc4>[R"UST5$)Nr)npclip)xmax_idxs V/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/sklearn/utils/stats.py&_weighted_percentile..?s"''!Q()rarr)ndimreshapeshaper tileTargsorttake_along_axisr nextafterarrayrange searchsortedapply_along_axisarange)r sample_weight percentilen_dim sorted_idxsorted_weights weight_cdfadjusted_percentilemaskipercentile_idx col_indexpercentile_in_sortedrs @r_weighted_percentiler-s4 JJE zRy zzQ g& {{m)))ekk!n @S@STU@V.V A/BCEE E*J'' JN~A6J$s*Z^; ! #D " !#6#r1s"?7r