





from __future__ import annotations







class 		_lowerCAmelCase:

  """simple docstring"""







  def __init__(   self    ,							UpperCAmelCase      )->   None:
     __A    =  value
     __A    =  None
     __A    =  None







class 		_lowerCAmelCase:

  """simple docstring"""







  lowerCamelCase__     	=       42

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

  def 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase      )->   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 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase = None      )->   int:
     if node is None:
        return 0
     if target is not None:
        __A    =  target

     self.depth_first_search(UpperCAmelCase    ,							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_detr import DetrImageProcessor


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







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

