





from __future__ import annotations

from collections.abc import Iterator



class    _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

 def __init__(self				:   Dict       , UpperCAmelCase_				:   int)       ->None:



   '''simple docstring'''



   lowerCamelCase__:      int			  =value
   lowerCamelCase__:      Node | None			  =None
   lowerCamelCase__:      Node | None			  =None



class    _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

 def __init__(self				:   Dict       , UpperCAmelCase_				:   Node)       ->None:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  =tree

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int]       , UpperCAmelCase_				:   Node | None)       ->int:



   '''simple docstring'''



   if node is None:
     return 0
   return node.value + (
       self.depth_first_search(node.left) + self.depth_first_search(node.right)
   )







 def __iter__(self				:   int)       ->Iterator[int]:



   '''simple docstring'''



   yield self.depth_first_search(self.tree)


if __name__ == "__main__":
     import doctest

     doctest.testmod()






"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowerCAmelCase    :Optional[int]     =					logging.get_logger(__name__)
class 							_UpperCAmelCase							( a      ):





     '''simple docstring'''



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


