

from __future__ import annotations
class    A_				:


    '''simple docstring'''






    def __init__(self       , lowercase__					)       -> None:
        __UpperCAmelCase			   =     value
        __UpperCAmelCase			   =     None
        __UpperCAmelCase			   =     None






class    A_				:


    '''simple docstring'''






    a__       							=    42


    def __init__(self					)       -> None:
        __UpperCAmelCase			   =     0


    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__					)       -> None:
        if node is None:
            return

        if path_sum == self.target:
            self.paths += 1

        if node.left:
            self.depth_first_search(node.left       , path_sum + node.left.value					)
        if node.right:
            self.depth_first_search(node.right       , path_sum + node.right.value					)






    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__ = None					)       -> int:
        if node is None:
            return 0
        if target is not None:
            __UpperCAmelCase			   =     target

        self.depth_first_search(lowercase__       , node.value					)
        self.path_sum(node.left					)
        self.path_sum(node.right					)

        return self.paths


if __name__ == "__main__":
       import doctest

       doctest.testmod()







import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


A_						:     int			  =				logging.get_logger(__name__)
class    A_				( _a  ):


    '''simple docstring'''






    def __init__(self       , *lowercase__       , **lowercase__					)       -> None:
        warnings.warn(
            '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use ConvNextImageProcessor instead.'''       , lowercase__       , )
        super().__init__(*lowercase__       , **lowercase__					)




