




from collections.abc import Iterable
from typing import Any
class 						_A					:






  def __init__(  self		:	Dict      ,						_A		:	int | None = None      )		->    Dict:






       """simple docstring"""







       lowercase					:   Union[str, Any]								= value
       lowercase					:   Node | None								= None  # Added in order to delete a node easier
       lowercase					:   Node | None								= None
       lowercase					:   Node | None								= None






  def __repr__(  self		:	Any      )		->    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		:	Any      ,						_A		:	Node | None = None      )		->    List[Any]:






       """simple docstring"""







       lowercase					:   Optional[Any]								= root






  def __str__(  self		:	Any      )		->    str:






       """simple docstring"""







       return str(self.root      )






  def 					__a			(  self		:	Dict      ,						_A		:	Node      ,						_A		:	Node | None      )		->    None:






       """simple docstring"""







       if new_children is not None:  # reset its kids
            lowercase					:   List[Any]								= node.parent
       if node.parent is not None:  # reset its parent
            if self.is_right(__lowercase      ):  # If it is the right children
                 lowercase					:   Union[str, Any]								= new_children
            else:
                 lowercase					:   Optional[int]								= new_children
       else:
            lowercase					:   int								= new_children






  def 					__a			(  self		:	int      ,						_A		:	Node      )		->    bool:






       """simple docstring"""







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






  def 					__a			(  self		:	List[Any]      )		->    bool:






       """simple docstring"""







       return self.root is None






  def 					__a			(  self		:	Dict      ,						_A		:	str      )		->    None:






       """simple docstring"""







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






  def 					__a			(  self		:	str      ,						*_A		:	Optional[Any]      )		->    None:






       """simple docstring"""







       for value in values:
            self.__insert(__lowercase      )






  def 					__a			(  self		:	int      ,						_A		:	Tuple      )		->    Node | None:






       """simple docstring"""







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






  def 					__a			(  self		:	Any      ,						_A		:	Node | None = None      )		->    Node | None:






       """simple docstring"""







       if node is None:
            if self.root is None:
                 return None
            lowercase					:   str								= self.root

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






  def 					__a			(  self		:	Optional[Any]      ,						_A		:	Node | None = None      )		->    Node | None:






       """simple docstring"""







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






  def 					__a			(  self		:	Optional[Any]      ,						_A		:	int      )		->    None:






       """simple docstring"""







       lowercase					:   Dict								= 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:
                 lowercase					:   Union[str, Any]								= self.get_max(
                     node.left      )  # Gets the max value of the left branch
                 self.remove(tmp_node.value      )  # type: ignore
                 lowercase					:   Union[str, Any]								= (
                     tmp_node.value  # type: ignore
                 )  # Assigns the value to the node to delete and keep tree structure






  def 					__a			(  self		:	Union[str, Any]      ,						_A		:	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 					__a			(  self		:	str      ,						_A		:	List[str]=None      )		->    Any:






       """simple docstring"""







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






  def 					__a			(  self		:	Dict      ,						_A		:	list      ,						_A		:	Node | None      )		->    None:






       """simple docstring"""







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






  def 					__a			(  self		:	List[str]      ,						_A		:	int      ,						_A		:	Node      )		->    int:






       """simple docstring"""







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






def 					snake_case(				__magic_name__    ) ->							str:





     '''simple docstring'''


     lowercase					:   Dict								= []
     if curr_node is not None:
          lowercase					:   List[str]								= postorder(curr_node.left    ) + postorder(curr_node.right    ) + [curr_node]
     return node_list






def 					snake_case(				) ->							str:





     '''simple docstring'''


     lowercase					:   str								= (8, 3, 6, 1, 10, 14, 13, 4, 7)
     lowercase					:   Dict								= BinarySearchTree()
     for i in testlist:
          t.insert(__lowerCamelCase    )

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

     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(__lowerCamelCase    )
          print(__lowerCamelCase    )


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)







import warnings
from contextlib import contextmanager

from ....processing_utils import ProcessorMixin
class     a    ( lowercase__   ):



      """simple docstring"""


      a  : List[str]							       =	'MCTCTFeatureExtractor'
      a  : str							       =	'AutoTokenizer'
      def __init__(      self					:			Tuple		,      __lowercase					:			int		,      __lowercase					:			Dict					)							->      Any:
        super().__init__(__lowercase		,      __lowercase					)
        __UpperCAmelCase							:	Optional[Any]           =  self.feature_extractor
        __UpperCAmelCase							:	Optional[int]           =  False
      def __call__(      self					:			int		,      *__lowercase					:			Tuple		,      **__lowercase					:			Optional[int]					)							->      Union[str, Any]:
        # For backward compatibility
        if self._in_target_context_manager:
          return self.current_processor(*__lowercase		,      **__lowercase					)

        if "raw_speech" in kwargs:
          warnings.warn("""Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead."""					)
          __UpperCAmelCase							:	Dict           =  kwargs.pop("""raw_speech"""					)
        else:
          __UpperCAmelCase							:	Dict           =  kwargs.pop("""audio"""		,      __lowercase					)
        __UpperCAmelCase							:	List[str]           =  kwargs.pop("""sampling_rate"""		,      __lowercase					)
        __UpperCAmelCase							:	Tuple           =  kwargs.pop("""text"""		,      __lowercase					)
        if len(__lowercase					) > 0:
          __UpperCAmelCase							:	Tuple           =  args[0]
          __UpperCAmelCase							:	str           =  args[1:]

        if audio is None and text is None:
          raise ValueError("""You need to specify either an `audio` or `text` input to process."""					)

        if audio is not None:
          __UpperCAmelCase							:	Tuple           =  self.feature_extractor(__lowercase		,      *__lowercase		,      sampling_rate=__lowercase		,      **__lowercase					)
        if text is not None:
          __UpperCAmelCase							:	str           =  self.tokenizer(__lowercase		,      **__lowercase					)

        if text is None:
          return inputs
        elif audio is None:
          return encodings
        else:
          __UpperCAmelCase							:	Dict           =  encodings["""input_ids"""]
          return inputs
      def 	UpperCAmelCase      (      self					:			Optional[Any]		,      *__lowercase					:			List[Any]		,      **__lowercase					:			int					)							->      List[Any]:
        return self.tokenizer.batch_decode(*__lowercase		,      **__lowercase					)
      def 	UpperCAmelCase      (      self					:			Optional[int]		,      *__lowercase					:			Optional[Any]		,      **__lowercase					:			List[str]					)							->      int:
        # For backward compatibility
        if self._in_target_context_manager:
          return self.current_processor.pad(*__lowercase		,      **__lowercase					)

        __UpperCAmelCase							:	Optional[int]           =  kwargs.pop("""input_features"""		,      __lowercase					)
        __UpperCAmelCase							:	Optional[Any]           =  kwargs.pop("""labels"""		,      __lowercase					)
        if len(__lowercase					) > 0:
          __UpperCAmelCase							:	Union[str, Any]           =  args[0]
          __UpperCAmelCase							:	str           =  args[1:]

        if input_features is not None:
          __UpperCAmelCase							:	Any           =  self.feature_extractor.pad(__lowercase		,      *__lowercase		,      **__lowercase					)
        if labels is not None:
          __UpperCAmelCase							:	Union[str, Any]           =  self.tokenizer.pad(__lowercase		,      **__lowercase					)

        if labels is None:
          return input_features
        elif input_features is None:
          return labels
        else:
          __UpperCAmelCase							:	Any           =  labels["""input_ids"""]
          return input_features
      def 	UpperCAmelCase      (      self					:			Any		,      *__lowercase					:			Union[str, Any]		,      **__lowercase					:			Dict					)							->      List[Any]:
        return self.tokenizer.decode(*__lowercase		,      **__lowercase					)




      @contextmanager
      def 	UpperCAmelCase      (      self					:			Optional[Any]					)							->      Tuple:
        warnings.warn(
            """`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your """
            """labels by using the argument `text` of the regular `__call__` method (either in the same call as """
            """your audio inputs, or in a separate call."""					)
        __UpperCAmelCase							:	Any           =  True
        __UpperCAmelCase							:	Optional[int]           =  self.tokenizer
        yield
        __UpperCAmelCase							:	List[Any]           =  self.feature_extractor
        __UpperCAmelCase							:	int           =  False


