


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 A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Union[str, Any] =['image_processor', 'tokenizer']
      UpperCamelCase__				:    List[str] ='LayoutLMv3ImageProcessor'
      UpperCamelCase__				:    Optional[int] =('LayoutLMv3Tokenizer', 'LayoutLMv3TokenizerFast')






      def __init__(   self		:	List[Any]     ,  lowercase_		:	Tuple=None     ,  lowercase_		:	int=None     ,  **lowercase_		:	str					)   ->		Any:
             """simple docstring"""




             _lowerCamelCase			:						Dict            =None
             if "feature_extractor" in kwargs:
                    warnings.warn(
                        'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                        ' instead.'     ,  lowercase_     ,  )
                    _lowerCamelCase			:						Any            =kwargs.pop('feature_extractor'					)

             _lowerCamelCase			:						List[Any]            =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__(lowercase_     ,  lowercase_					)






      def __call__(   self		:	List[str]     ,  lowercase_		:	Tuple     ,  lowercase_		:	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None     ,  lowercase_		:	Optional[Union[PreTokenizedInput, List[PreTokenizedInput]]] = None     ,  lowercase_		:	Union[List[List[int]], List[List[List[int]]]] = None     ,  lowercase_		:	Optional[Union[List[int], List[List[int]]]] = None     ,  lowercase_		:	bool = True     ,  lowercase_		:	Union[bool, str, PaddingStrategy] = False     ,  lowercase_		:	Union[bool, str, TruncationStrategy] = None     ,  lowercase_		:	Optional[int] = None     ,  lowercase_		:	int = 0     ,  lowercase_		:	Optional[int] = None     ,  lowercase_		:	Optional[bool] = None     ,  lowercase_		:	Optional[bool] = None     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = True     ,  lowercase_		:	Optional[Union[str, TensorType]] = None     ,  **lowercase_		:	List[str]     ,  )   ->		BatchEncoding:
             """simple docstring"""




             if self.image_processor.apply_ocr and (boxes is not None):
                    raise ValueError(
                        'You cannot provide bounding boxes if you initialized the image processor with apply_ocr set to True.'					)

             if self.image_processor.apply_ocr and (word_labels is not None):
                    raise ValueError(
                        'You cannot provide word labels if you initialized the image processor with apply_ocr set to True.'					)

             # first, apply the image processor
             _lowerCamelCase			:						str            =self.image_processor(images=lowercase_     ,  return_tensors=lowercase_					)

             # second, apply the tokenizer
             if text is not None and self.image_processor.apply_ocr and text_pair is None:
                    if isinstance(lowercase_     ,  lowercase_					):
                           _lowerCamelCase			:						Union[str, Any]            =[text]  # add batch dimension (as the image processor always adds a batch dimension)
                    _lowerCamelCase			:						List[str]            =features['words']

             _lowerCamelCase			:						int            =self.tokenizer(
                 text=text if text is not None else features['words']     ,  text_pair=text_pair if text_pair is not None else None     ,  boxes=boxes if boxes is not None else features['boxes']     ,  word_labels=lowercase_     ,  add_special_tokens=lowercase_     ,  padding=lowercase_     ,  truncation=lowercase_     ,  max_length=lowercase_     ,  stride=lowercase_     ,  pad_to_multiple_of=lowercase_     ,  return_token_type_ids=lowercase_     ,  return_attention_mask=lowercase_     ,  return_overflowing_tokens=lowercase_     ,  return_special_tokens_mask=lowercase_     ,  return_offsets_mapping=lowercase_     ,  return_length=lowercase_     ,  verbose=lowercase_     ,  return_tensors=lowercase_     ,  **lowercase_     ,  )

             # add pixel values
             _lowerCamelCase			:						Optional[int]            =features.pop('pixel_values'					)
             if return_overflowing_tokens is True:
                    _lowerCamelCase			:						Optional[Any]            =self.get_overflowing_images(lowercase_     ,  encoded_inputs['overflow_to_sample_mapping']					)
             _lowerCamelCase			:						Union[str, Any]            =images

             return encoded_inputs






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	int     ,  lowercase_		:	Tuple					)   ->		Dict:
             """simple docstring"""




             _lowerCamelCase			:						List[str]            =[]
             for sample_idx in overflow_to_sample_mapping:
                    images_with_overflow.append(images[sample_idx]					)

             if len(lowercase_					) != len(lowercase_					):
                    raise ValueError(
                        'Expected length of images to be the same as the length of `overflow_to_sample_mapping`, but got'
                        F''' {len(lowercase_					)} and {len(lowercase_					)}'''					)

             return images_with_overflow






      def 			lowerCamelCase			(   self		:	Any     ,  *lowercase_		:	Optional[int]     ,  **lowercase_		:	Tuple					)   ->		Optional[int]:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  *lowercase_		:	Union[str, Any]     ,  **lowercase_		:	int					)   ->		Optional[int]:
             """simple docstring"""




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






      @property
      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Optional[Any]:
             """simple docstring"""




             return ["input_ids", "bbox", "attention_mask", "pixel_values"]






      @property
      def 			lowerCamelCase			(   self		:	List[Any]					)   ->		List[Any]:
             """simple docstring"""




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






      @property
      def 			lowerCamelCase			(   self		:	List[str]					)   ->		List[Any]:
             """simple docstring"""




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






from collections.abc import Iterable
from typing import Any




class A    :






      def __init__(   self		:	Dict     ,  lowercase_		:	int | None = None					)   ->		int:
             """simple docstring"""




             _lowerCamelCase			:						List[Any]            =value
             _lowerCamelCase			:						Node | None            =None  # Added in order to delete a node easier
             _lowerCamelCase			:						Node | None            =None
             _lowerCamelCase			:						Node | None            =None






      def __repr__(   self		:	Dict					)   ->		str:
             """simple docstring"""




             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 A    :






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	Node | None = None					)   ->		int:
             """simple docstring"""




             _lowerCamelCase			:						Optional[int]            =root






      def __str__(   self		:	Tuple					)   ->		str:
             """simple docstring"""




             return str(self.root					)






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	Node     ,  lowercase_		:	Node | None					)   ->		None:
             """simple docstring"""




             if new_children is not None:  # reset its kids
                    _lowerCamelCase			:						Optional[int]            =node.parent
             if node.parent is not None:  # reset its parent
                    if self.is_right(lowercase_					):  # If it is the right children
                           _lowerCamelCase			:						int            =new_children
                    else:
                           _lowerCamelCase			:						Dict            =new_children
             else:
                    _lowerCamelCase			:						Tuple            =new_children






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	Node					)   ->		bool:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	int					)   ->		bool:
             """simple docstring"""




             return self.root is None






      def 			lowerCamelCase			(   self		:	List[Any]     ,  lowercase_		:	Union[str, Any]					)   ->		None:
             """simple docstring"""




             _lowerCamelCase			:						Optional[Any]            =Node(lowercase_					)  # create a new Node
             if self.empty():  # if Tree is empty
                    _lowerCamelCase			:						Union[str, Any]            =new_node  # set its root
             else:  # Tree is not empty
                    _lowerCamelCase			:						Optional[int]            =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			:						Optional[int]            =new_node  # We insert the new node in a leaf
                                         break
                                  else:
                                         _lowerCamelCase			:						Optional[Any]            =parent_node.left
                           else:
                                  if parent_node.right is None:
                                         _lowerCamelCase			:						Optional[Any]            =new_node
                                         break
                                  else:
                                         _lowerCamelCase			:						Optional[int]            =parent_node.right
                    _lowerCamelCase			:						Optional[Any]            =parent_node






      def 			lowerCamelCase			(   self		:	Any     ,  *lowercase_		:	Union[str, Any]					)   ->		None:
             """simple docstring"""




             for value in values:
                    self.__insert(lowercase_					)






      def 			lowerCamelCase			(   self		:	Optional[int]     ,  lowercase_		:	List[Any]					)   ->		Node | None:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	Node | None = None					)   ->		Node | None:
             """simple docstring"""




             if node is None:
                    if self.root is None:
                           return None
                    _lowerCamelCase			:						Union[str, Any]            =self.root

             if not self.empty():
                    while node.right is not None:
                           _lowerCamelCase			:						Optional[int]            =node.right
             return node






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	Node | None = None					)   ->		Node | None:
             """simple docstring"""




             if node is None:
                    _lowerCamelCase			:						Union[str, Any]            =self.root
             if self.root is None:
                    return None
             if not self.empty():
                    _lowerCamelCase			:						Optional[int]            =self.root
                    while node.left is not None:
                           _lowerCamelCase			:						List[Any]            =node.left
             return node






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	int					)   ->		None:
             """simple docstring"""




             _lowerCamelCase			:						List[str]            =self.search(lowercase_					)  # 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(lowercase_     ,  lowercase_					)
                    elif node.left is None:  # Has only right children
                           self.__reassign_nodes(lowercase_     ,  node.right					)
                    elif node.right is None:  # Has only left children
                           self.__reassign_nodes(lowercase_     ,  node.left					)
                    else:
                           _lowerCamelCase			:						List[str]            =self.get_max(
                               node.left					)  # Gets the max value of the left branch
                           self.remove(tmp_node.value					)  # type: ignore
                           _lowerCamelCase			:						Union[str, Any]            =(
                               tmp_node.value  # type: ignore
                           )  # Assigns the value to the node to delete and keep tree structure






      def 			lowerCamelCase			(   self		:	str     ,  lowercase_		:	Node | None					)   ->		Iterable:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	str     ,  lowercase_		:	Dict=None					)   ->		Any:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	list     ,  lowercase_		:	Node | None					)   ->		None:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	int     ,  lowercase_		:	Node					)   ->		int:
             """simple docstring"""




             _lowerCamelCase			:						list[int]            =[]
             self.inorder(lowercase_     ,  lowercase_					)  # append all values to list using inorder traversal
             return arr[k - 1]




def       a_ (       SCREAMING_SNAKE_CASE__   : Node | None	):
       '''simple docstring'''





       _lowerCamelCase			:						int            =[]
       if curr_node is not None:
              _lowerCamelCase			:						List[Any]            =postorder(curr_node.left	) + postorder(curr_node.right	) + [curr_node]
       return node_list




def       a_ (       ):
       '''simple docstring'''





       _lowerCamelCase			:						Optional[int]            =(8, 3, 6, 1, 10, 14, 13, 4, 7)
       _lowerCamelCase			:						int            =BinarySearchTree()
       for i in testlist:
              t.insert(SCREAMING_SNAKE_CASE__	)

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

       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(SCREAMING_SNAKE_CASE__	)
              print(SCREAMING_SNAKE_CASE__	)


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)


