





'''simple docstring'''


from collections.abc import Iterable
from typing import Any

class       lowerCAmelCase_						:




 def __init__(		self	,   _lowerCAmelCase = None						)			->							Dict:
     _lowerCAmelCase			=					value
     _lowerCAmelCase			=					None  # Added in order to delete a node easier
     _lowerCAmelCase			=					None
     _lowerCAmelCase			=					None





 def __repr__(		self						)			->							str:
     from pprint import pformat

     if self.left is None and self.right is None:
         return str(self.value						)
     return pformat({f'''{self.value}''': (self.left, self.right)}	,   indent=1						)







class       lowerCAmelCase_						:




 def __init__(		self	,   _lowerCAmelCase = None						)			->							Any:
     _lowerCAmelCase			=					root




 def __str__(		self						)			->							int:
     return str(self.root						)




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase						)			->							Dict:

     if new_children is not None:  # reset its kids
         _lowerCAmelCase			=					node.parent
     if node.parent is not None:  # reset its parent
         if self.is_right(snake_case_						):  # If it is the right children
             _lowerCAmelCase			=					new_children
         else:
             _lowerCAmelCase			=					new_children
     else:
         _lowerCAmelCase			=					new_children




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							int:

     if node.parent and node.parent.right:
         return node == node.parent.right
     return False




 def 							_snake_case      (		self						)			->							Union[str, Any]:
     return self.root is None




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							List[Any]:
     _lowerCAmelCase			=					Node(snake_case_						)  # create a new Node
     if self.empty():  # if Tree is empty
         _lowerCAmelCase			=					new_node  # set its root
     else:  # Tree is not empty
         _lowerCAmelCase			=					self.root  # from root
         if parent_node is None:
             return
         while True:  # While we don't get to a leaf
             if value < parent_node.value:  # We go left
                 if parent_node.left is None:
                     _lowerCAmelCase			=					new_node  # We insert the new node in a leaf
                     break
                 else:
                     _lowerCAmelCase			=					parent_node.left
             else:
                 if parent_node.right is None:
                     _lowerCAmelCase			=					new_node
                     break
                 else:
                     _lowerCAmelCase			=					parent_node.right
         _lowerCAmelCase			=					parent_node




 def 							_snake_case      (		self	,   *_lowerCAmelCase						)			->							List[Any]:

     for value in values:
         self.__insert(snake_case_						)




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							List[str]:

     if self.empty():
         raise IndexError("Warning: Tree is empty! please use another."						)
     else:
         _lowerCAmelCase			=					self.root
         # use lazy evaluation here to avoid NoneType Attribute error
         while node is not None and node.value is not value:
             _lowerCAmelCase			=					node.left if value < node.value else node.right
         return node




 def 							_snake_case      (		self	,   _lowerCAmelCase = None						)			->							str:

     if node is None:
         if self.root is None:
             return None
         _lowerCAmelCase			=					self.root

     if not self.empty():
         while node.right is not None:
             _lowerCAmelCase			=					node.right
     return node




 def 							_snake_case      (		self	,   _lowerCAmelCase = None						)			->							str:

     if node is None:
         _lowerCAmelCase			=					self.root
     if self.root is None:
         return None
     if not self.empty():
         _lowerCAmelCase			=					self.root
         while node.left is not None:
             _lowerCAmelCase			=					node.left
     return node




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							Dict:
     _lowerCAmelCase			=					self.search(snake_case_						)  # Look for the node with that label
     if node is not None:
         if node.left is None and node.right is None:  # If it has no children
             self.__reassign_nodes(snake_case_	,   snake_case_						)
         elif node.left is None:  # Has only right children
             self.__reassign_nodes(snake_case_	,   node.right						)
         elif node.right is None:  # Has only left children
             self.__reassign_nodes(snake_case_	,   node.left						)
         else:
             _lowerCAmelCase			=					self.get_max(
                 node.left						)  # Gets the max value of the left branch
             self.remove(tmp_node.value						)  # type: ignore
             _lowerCAmelCase			=					(
                 tmp_node.value  # type: ignore
             )  # Assigns the value to the node to delete and keep tree structure




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							Dict:

     if node is not None:
         yield node  # Preorder Traversal
         yield from self.preorder_traverse(node.left						)
         yield from self.preorder_traverse(node.right						)




 def 							_snake_case      (		self	,   _lowerCAmelCase=None						)			->							List[Any]:

     if traversal_function is None:
         return self.preorder_traverse(self.root						)
     else:
         return traversal_function(self.root						)




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase						)			->							Tuple:

     if node:
         self.inorder(snake_case_	,   node.left						)
         arr.append(node.value						)
         self.inorder(snake_case_	,   node.right						)





 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase						)			->							List[str]:
     _lowerCAmelCase			=					[]
     self.inorder(snake_case_	,   snake_case_						)  # append all values to list using inorder traversal
     return arr[k - 1]







def 		__a(SCREAMING_SNAKE_CASE_     :    List[str]			):



    '''simple docstring'''





    _lowerCAmelCase			=					[]
    if curr_node is not None:
        _lowerCAmelCase			=					postorder(curr_node.left			) + postorder(curr_node.right			) + [curr_node]
    return node_list


def 		__a():



    '''simple docstring'''





    _lowerCAmelCase			=					(8, 3, 6, 1, 10, 14, 13, 4, 7)
    _lowerCAmelCase			=					BinarySearchTree()
    for i in testlist:
        t.insert(_UpperCAmelCase			)

    # Prints all the elements of the list in order traversal
    print(_UpperCAmelCase			)

    if t.search(6			) is not None:
        print("The value 6 exists"			)
    else:
        print("The value 6 doesn\'t exist"			)

    if t.search(-1			) is not None:
        print("The value -1 exists"			)
    else:
        print("The value -1 doesn\'t exist"			)

    if not t.empty():
        print("Max Value: "						,				t.get_max().value			)  # type: ignore
        print("Min Value: "						,				t.get_min().value			)  # type: ignore

    for i in testlist:
        t.remove(_UpperCAmelCase			)
        print(_UpperCAmelCase			)


if __name__ == "__main__":
       import doctest

       doctest.testmod(verbose=True)









"""simple docstring"""




import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class  _UpperCAmelCase  (   UpperCAmelCase__		):



      '''simple docstring'''
      lowercase_      : Dict	    =   ["""image_processor""", """tokenizer"""]
      lowercase_      : Union[str, Any]	    =   """ViltImageProcessor"""
      lowercase_      : Any	    =   ("""BertTokenizer""", """BertTokenizerFast""")

      def __init__(     self					,      snake_case_=None					,      snake_case_=None					,      **snake_case_  ):

        """simple docstring"""

        A_  :       Union[str, Any]										=  None
        if "feature_extractor" in kwargs:
          warnings.warn(
              'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
              ' instead.'					,      snake_case_					,      )
          A_  :       Dict										=  kwargs.pop('feature_extractor'  )

        A_  :       Dict										=  image_processor if image_processor is not None else feature_extractor
        if image_processor is None:
          raise ValueError('You need to specify an `image_processor`.'  )
        if tokenizer is None:
          raise ValueError('You need to specify a `tokenizer`.'  )

        super().__init__(snake_case_					,      snake_case_  )
        A_  :       List[str]										=  self.image_processor

      def __call__(     self					,      snake_case_					,      snake_case_ = None					,      snake_case_ = True					,      snake_case_ = False					,      snake_case_ = None					,      snake_case_ = None					,      snake_case_ = 0					,      snake_case_ = None					,      snake_case_ = None					,      snake_case_ = None					,      snake_case_ = False					,      snake_case_ = False					,      snake_case_ = False					,      snake_case_ = False					,      snake_case_ = True					,      snake_case_ = None					,      **snake_case_					,      ):

        """simple docstring"""

        A_  :       str										=  self.tokenizer(
            text=snake_case_					,      add_special_tokens=snake_case_					,      padding=snake_case_					,      truncation=snake_case_					,      max_length=snake_case_					,      stride=snake_case_					,      pad_to_multiple_of=snake_case_					,      return_token_type_ids=snake_case_					,      return_attention_mask=snake_case_					,      return_overflowing_tokens=snake_case_					,      return_special_tokens_mask=snake_case_					,      return_offsets_mapping=snake_case_					,      return_length=snake_case_					,      verbose=snake_case_					,      return_tensors=snake_case_					,      **snake_case_					,      )
        # add pixel_values + pixel_mask
        A_  :       Optional[int]										=  self.image_processor(snake_case_					,      return_tensors=snake_case_  )
        encoding.update(snake_case_  )

        return encoding

      def 					lowerCamelCase_			(     self					,      *snake_case_					,      **snake_case_  ):

        """simple docstring"""

        return self.tokenizer.batch_decode(*snake_case_					,      **snake_case_  )

      def 					lowerCamelCase_			(     self					,      *snake_case_					,      **snake_case_  ):

        """simple docstring"""

        return self.tokenizer.decode(*snake_case_					,      **snake_case_  )

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        A_  :       Any										=  self.tokenizer.model_input_names
        A_  :       Any										=  self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        warnings.warn(
            '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'					,      snake_case_					,      )
        return self.image_processor_class

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        warnings.warn(
            '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'					,      snake_case_					,      )
        return self.image_processor