biddlZdZddZy)Nc||z|jz }tj|}t||jz }|dkDr||z }tjtj |ddd}|D]^}tj ||k(\} tt| |} |j| | d} || xxdz cc<|| z}|dk(s^n|jtjS)aComputes approximate mode of multivariate hypergeometric. This is an approximation to the mode of the multivariate hypergeometric given by class_counts and n_draws. It shouldn't be off by more than one. It is the mostly likely outcome of drawing n_draws many samples from the population given by class_counts. Args ---------- class_counts : ndarray of int Population per class. n_draws : int Number of draws (samples to draw) from the overall population. rng : random state Used to break ties. Returns ------- sampled_classes : ndarray of int Number of samples drawn from each class. np.sum(sampled_classes) == n_draws rNF)sizereplace) sumnpfloorintsortuniquewhereminlenchoiceastypeint64) class_countsn_drawsrng continuousfloored need_to_add remaindervaluesvalueindsadd_nows R/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/datasets/utils/stratify.pyapproximate_moder s0<',*:*:*<>"(( ##c #<Ktj|d\}}|jd}tj|}tj|dkr t d||krt d||fz||krt d||fztj tj|d tj|d d } t|D]} t|||} || z } t| ||} g}g}t|D]c}|j||}| |j|d }|j|d | ||j|| || || |ze|j|}|j|}||fy w)a Provides train/test indices to split data in train/test sets. It's reference is taken from StratifiedShuffleSplit implementation of scikit-learn library. Args ---------- n_train : int, represents the absolute number of train samples. n_test : int, represents the absolute number of test samples. random_state : int or RandomState instance, default=None Controls the randomness of the training and testing indices produced. Pass an int for reproducible output across multiple function calls. n_splits : int, default=10 Number of re-shuffling & splitting iterations. T)return_inverserzMinimum class count errorzLThe train_size = %d should be greater or equal to the number of classes = %dzKThe test_size = %d should be greater or equal to the number of classes = %d mergesort)kindNrclip)mode)r r shapebincountr ValueErrorsplitargsortcumsumranger permutationtakeextend)yn_trainn_testrn_splitsclasses y_indices n_classesr class_indices_n_iclass_counts_remainingt_itraintestir0perm_indices_class_is r)stratified_shuffle_split_generate_indicesrC6s.1T:GY a I;;y)L vvla455 Z^egp]q q    Y]cen\o o  HHRZZ DbiiP\F]^a_aFbcM 8_|Wc:!-!35vsCy! HA//,q/:K#0#3#8#86#8#R LL-hA7 8 KK,SVc!fs1voF G  H &t$Tk!sFF) )numpyr r rCr!rrGs/$d5r!