0PhddZddZdS)Nc|dt|dr/t|jdr|j}nIdt|jdD}n$t|dr|}t t |t |krtd|S)a(Check feature names. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data. feature_names : None or array-like of shape (n_names,), dtype=str Feature names to check or `None`. Returns ------- feature_names : list of str Feature names validated. If `feature_names` is `None`, then a list of feature names is provided, i.e. the column names of a pandas dataframe or a generic list of feature names (e.g. `["x0", "x1", ...]`) for a NumPy array. Ncolumnstolistcg|]}d|S)x).0is \/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/sklearn/inspection/_pd_utils.py z(_check_feature_names..s@@@WWW@@@z,feature_names should not contain duplicates.)hasattrrrrangeshapelenset ValueError)X feature_namess r _check_feature_namesrs& 1i  AWQY%A%A AI,,..MMA@eAGAJ.?.?@@@MM  ) )/%,,..  3}  #m"4"444GHHH r ct|trQ|td|d ||S#t$r}td|d|d}~wwxYw|S)aGet feature index. Parameters ---------- fx : int or str Feature index or name. feature_names : list of str, default=None All feature names from which to search the indices. Returns ------- idx : int Feature index. Nz+Cannot plot partial dependence for feature z since the list of feature names was not provided, neither as column names of a pandas data-frame nor via the feature_names parameter.zFeature z not in feature_names) isinstancestrrindex)fxres r _get_feature_indexr(s "c L  b   L &&r** * L L LCCCCDD! K L IsA A$ AA$)N)rrrr r rs8    Fr