





class   A							:



      def __init__(						self:    Optional[Any]		,	_lowerCAmelCase:    List[str]							)    ->     Optional[int]:
         '''simple docstring'''

         UpperCAmelCase_           =val
         UpperCAmelCase_           =None
         UpperCAmelCase_           =None






      def 						lowerCAmelCase__     (						self:    List[str]		,	_lowerCAmelCase:    Tuple							)    ->     List[str]:
         '''simple docstring'''

         if self.val:
            if val < self.val:
               if self.left is None:
                  UpperCAmelCase_           =Node(_lowerCAmelCase							)
               else:
                  self.left.insert(_lowerCAmelCase							)
            elif val > self.val:
               if self.right is None:
                  UpperCAmelCase_           =Node(_lowerCAmelCase							)
               else:
                  self.right.insert(_lowerCAmelCase							)
         else:
            UpperCAmelCase_           =val




def      a__			(       lowercase__	,     lowercase__	):






   '''simple docstring'''






   if root:
      inorder(root.left	,     lowercase__	)
      res.append(root.val	)
      inorder(root.right	,     lowercase__	)




def      a__			(       lowercase__	):






   '''simple docstring'''






   if len(lowercase__	) == 0:
      return arr
   UpperCAmelCase_           =Node(arr[0]	)
   for i in range(1	,     len(lowercase__	)	):
      root.insert(arr[i]	)
   # Traverse BST in order.
   UpperCAmelCase_           =[]
   inorder(lowercase__	,     lowercase__	)
   return res


if __name__ == "__main__":
     print(tree_sort([10, 1, 3, 2, 9, 14, 13]))







'''simple docstring'''




import warnings

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


_a					:			List[Any]							=    logging.get_logger(__name__)



class 							lowercase_						(		a			):

  '''simple docstring'''





  def __init__(  self ,			*a_ ,			**a_  )				->					None:


    """simple docstring"""
    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_  )


