o ik;@sdZddlZddlZddlZddlZddlZddlZddlmZzddl Z Wn e y1dZ Ynwddl m ZddlmZded d kZed vZeejZeejZeejZeejZejjejjgZejjejj gZ!ejj"ejj#gZ$ejj%ejj&gZ'ejj(ejj)gZ*ejj+ejj,gZ-ejj.ejj/gZ0z dd l1m2Z2d Z3Wn e ydZ3YnwddZ4d7ddZ5eedkrejj6j7Z8nddZ8ddZ9eedkrddZ:ddZ;nddZd#dZ:d$dZ;eed%krdd&l?m@Z@mAZAndd&lm@Z@mAZAd'd(ZBd)d*ZCd8d,d-ZDeed.kr!dd/lEmFZFndd/lGmFZFd0d1ZHd2d3ZId4d5ZJdZKzddlLZLeeLjZMeMed6krKd ZKWdSWdSeNyXYdSw)9zCompatibility fixes for older version of python, numpy and scipy If you add content to this file, please give the version of the package at which the fix is no longer needed. N)optimize)parse)_get_threadpool_controllerP )Zwasm32Zwasm64)sparrayTFcCs||kSN)Xr r b/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/sklearn/utils/fixes.py_object_dtype_isnan6srcCsPttdkr tjj||dd}ttdkr|durt|}|Stjj||dS)N1.9.0T)axisZkeepdimsz1.10.999r) sp_version parse_versionscipystatsmodenpravel)arrr r r_mode;s   rz1.12.0cKs>d|vr |d|d<d|vrd|d<tjjj||fi|S)NZrtolZtolZatollegacy)poprsparselinalgcg)Abkwargsr r r_sparse_linalg_cgLs r$cCs6d}tt|krtj|ddStjj|dd\}}|S)aEstimate the optimal Yeo-Johnson transformation parameter (lambda). This function provides a compatibility workaround for versions of SciPy older than 1.9.0, where `scipy.stats.yeojohnson` did not return the estimated lambda directly. Parameters ---------- _neg_log_likelihood : callable A function that computes the negative log-likelihood of the Yeo-Johnson transformation for a given lambda. 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