ó Mpˆj ãó&•SrSSKJr SSKJr Srg)z8Utility function to get the number of bootstrap samples.é)ÚIntegral)Úwarnc ó•UcU$[U[5(aU$Uc UnSUS3nOUR5nSUS3n[[ X-5S5nU[SUS-5:a[ SU<SUS US 35 U$) a6 Get the number of samples in a bootstrap sample. Notes ----- The frequency semantics of :term:`sample_weight` is guaranteed when `max_samples` is a float or integer, but not when `max_samples` is None. The returned `n_samples_bootstrap` will be the same between a weighted dataset with integer `sample_weights` and a dataset with as many rows repeated when `max_samples` is a float or integer. They will differ when `max_samples` is None (the weighted and repeated datasets do not have the same number of rows). Parameters ---------- n_samples : int Number of samples in the dataset. max_samples : None, int or float The maximum number of samples to draw. - If None, then draw `n_samples` samples. - If int, then draw `max_samples` samples. - If float, then draw `max_samples * n_samples` unweighted samples or `max_samples * sample_weight.sum()` weighted samples. sample_weight : array of shape (n_samples,) or None Sample weights. Returns ------- n_samples_bootstrap : int The total number of samples to draw for the bootstrap sample. zthe number of samples is Ú z#the total sum of sample weights is éé gUUUUUUÕ?z'Using the fractional value max_samples=z when zresults in a low number (zQ) of bootstrap samples. We recommend passing `max_samples` as an integer instead.)Ú isinstancerÚsumÚmaxÚintr)Ú n_samplesÚ max_samplesÚ sample_weightÚweighted_n_samplesÚweighted_n_samples_msgÚn_samples_bootstraps ÚW/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/sklearn/ensemble/_bootstrap.pyÚ_get_n_samples_bootstrapr sÅ€ðDÑØÐÜ K¤× *Ñ *ØÐàÑØ&ÐØ#<Ð=OÐTÐ=UØ'Ð(;Ð'<ð=Hð Hô ð ÐóN)Ú__doc__ÚnumbersrÚwarningsrr©rrÚrsðÙ>õ Ýó;r