ZPhtdZGddZdZdZdS)z,Utilities for docstring in imbalanced-learn.ceZdZdZdZdZdS) SubstitutionzDecorate a function's or a class' docstring to perform string substitution on it. This decorator should be robust even if obj.__doc__ is None (for example, if -OO was passed to the interpreter) c>|r|rtd|p||_dS)Nz+Only positional or keyword args are allowed)AssertionErrorparams)selfargskwargss Y/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/imblearn/utils/_docstring.py__init__zSubstitution.__init__s1  PF P !NOO Onf cL|jr|jjdi|j|_|S)N)__doc__formatr)robjs r __call__zSubstitution.__call__s/ ; <,#+,;;t{;;CK r N)__name__ __module__ __qualname__rr rrr r rrs<%%% r rarandom_state : int, RandomState instance, default=None Control the randomization of the algorithm. - If int, ``random_state`` is the seed used by the random number generator; - If ``RandomState`` instance, random_state is the random number generator; - If ``None``, the random number generator is the ``RandomState`` instance used by ``np.random``. aHn_jobs : int, default=None Number of CPU cores used during the cross-validation loop. ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context. ``-1`` means using all processors. See `Glossary `_ for more details. N)rrrstrip_random_state_docstring_n_jobs_docstringrr r rsc22 (    r