


from collections.abc import Iterable
from typing import Any
class 			SCREAMING_SNAKE_CASE__  :
      def __init__(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any] = None					)		->      str:
             a_ :		Optional[int]							=  value
             a_ :		Node | None							=  None  # Added in order to delete a node easier
             a_ :		Node | None							=  None
             a_ :		Node | None							=  None

      def __repr__(	self    :	Dict					)		->      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 			SCREAMING_SNAKE_CASE__  :
      def __init__(	self    :	Any					,							SCREAMING_SNAKE_CASE__    :	Any = None					)		->      Optional[int]:
             a_ :		str							=  root
      def __str__(	self    :	Tuple					)		->      str:
             return str(self.root					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Dict					,							SCREAMING_SNAKE_CASE__    :	List[Any]					,							SCREAMING_SNAKE_CASE__    :	Tuple					)		->      None:
             if new_children is not None:  # reset its kids
                    a_ :		str							=  node.parent
             if node.parent is not None:  # reset its parent
                    if self.is_right(__lowercase					):  # If it is the right children
                           a_ :		Optional[int]							=  new_children
                    else:
                           a_ :		Tuple							=  new_children
             else:
                    a_ :		Union[str, Any]							=  new_children
      def 	SCREAMING_SNAKE_CASE							(	self    :	Any					,							SCREAMING_SNAKE_CASE__    :	Optional[int]					)		->      bool:
             if node.parent and node.parent.right:
                    return node == node.parent.right
             return False
      def 	SCREAMING_SNAKE_CASE							(	self    :	Any					)		->      bool:
             return self.root is None
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	Tuple					)		->      None:
             a_ :		Tuple							=  Node(__lowercase					)  # create a new Node
             if self.empty():  # if Tree is empty
                    a_ :		Optional[int]							=  new_node  # set its root
             else:  # Tree is not empty
                    a_ :		Any							=  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:
                                         a_ :		Optional[Any]							=  new_node  # We insert the new node in a leaf
                                         break
                                  else:
                                         a_ :		Any							=  parent_node.left
                           else:
                                  if parent_node.right is None:
                                         a_ :		str							=  new_node
                                         break
                                  else:
                                         a_ :		Any							=  parent_node.right
                    a_ :		Tuple							=  parent_node
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					,							*SCREAMING_SNAKE_CASE__    :	Union[str, Any]					)		->      None:
             for value in values:
                    self.__insert(__lowercase					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					,							SCREAMING_SNAKE_CASE__    :	Optional[int]					)		->      Node | None:
             if self.empty():
                    raise IndexError('Warning: Tree is empty! please use another.'					)
             else:
                    a_ :		List[str]							=  self.root
                    # use lazy evaluation here to avoid NoneType Attribute error
                    while node is not None and node.value is not value:
                           a_ :		List[Any]							=  node.left if value < node.value else node.right
                    return node
      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					,							SCREAMING_SNAKE_CASE__    :	List[Any] = None					)		->      Node | None:
             if node is None:
                    if self.root is None:
                           return None
                    a_ :		Union[str, Any]							=  self.root

             if not self.empty():
                    while node.right is not None:
                           a_ :		str							=  node.right
             return node
      def 	SCREAMING_SNAKE_CASE							(	self    :	str					,							SCREAMING_SNAKE_CASE__    :	Any = None					)		->      Node | None:
             if node is None:
                    a_ :		Optional[Any]							=  self.root
             if self.root is None:
                    return None
             if not self.empty():
                    a_ :		Dict							=  self.root
                    while node.left is not None:
                           a_ :		List[str]							=  node.left
             return node
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	Tuple					)		->      None:
             a_ :		List[Any]							=  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:
                           a_ :		List[Any]							=  self.get_max(
                               node.left					)  # Gets the max value of the left branch
                           self.remove(tmp_node.value					)  # type: ignore
                           a_ :		Tuple							=  (
                               tmp_node.value  # type: ignore
                           )  # Assigns the value to the node to delete and keep tree structure
      def 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	Dict					)		->      Iterable:
             if node is not None:
                    yield node  # Preorder Traversal
                    yield from self.preorder_traverse(node.left					)
                    yield from self.preorder_traverse(node.right					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any]=None					)		->      Any:
             if traversal_function is None:
                    return self.preorder_traverse(self.root					)
             else:
                    return traversal_function(self.root					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	List[Any]					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]					)		->      None:
             if node:
                    self.inorder(__lowercase					,							node.left					)
                    arr.append(node.value					)
                    self.inorder(__lowercase					,							node.right					)

      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	str					,							SCREAMING_SNAKE_CASE__    :	str					)		->      int:
             a_ :		list[int]							=  []
             self.inorder(__lowercase					,							__lowercase					)  # append all values to list using inorder traversal
             return arr[k - 1]







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Union[str, Any]    )     ->		List[Any]:

       """simple docstring"""

       a_ :		Union[str, Any]							=  []
       if curr_node is not None:
              a_ :		List[str]							=  postorder(curr_node.left    ) + postorder(curr_node.right    ) + [curr_node]
       return node_list







def 	SCREAMING_SNAKE_CASE_						(      )     ->		Optional[int]:

       """simple docstring"""

       a_ :		Optional[Any]							=  (8, 3, 6, 1, 10, 14, 13, 4, 7)
       a_ :		Union[str, Any]							=  BinarySearchTree()
       for i in testlist:
              t.insert(__A    )

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

       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(__A    )
              print(__A    )


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase_				:			Any   =	{
    'configuration_mobilebert': [
        'MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileBertConfig',
        'MobileBertOnnxConfig',
    ],
    'tokenization_mobilebert': ['MobileBertTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			Union[str, Any]   =	['MobileBertTokenizerFast']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			List[str]   =	[
       'MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'MobileBertForMaskedLM',
       'MobileBertForMultipleChoice',
       'MobileBertForNextSentencePrediction',
       'MobileBertForPreTraining',
       'MobileBertForQuestionAnswering',
       'MobileBertForSequenceClassification',
       'MobileBertForTokenClassification',
       'MobileBertLayer',
       'MobileBertModel',
       'MobileBertPreTrainedModel',
       'load_tf_weights_in_mobilebert',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			Tuple   =	[
       'TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'TFMobileBertForMaskedLM',
       'TFMobileBertForMultipleChoice',
       'TFMobileBertForNextSentencePrediction',
       'TFMobileBertForPreTraining',
       'TFMobileBertForQuestionAnswering',
       'TFMobileBertForSequenceClassification',
       'TFMobileBertForTokenClassification',
       'TFMobileBertMainLayer',
       'TFMobileBertModel',
       'TFMobileBertPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_mobilebert import (
       MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
       MobileBertConfig,
       MobileBertOnnxConfig,
   )
   from .tokenization_mobilebert import MobileBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_mobilebert_fast import MobileBertTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mobilebert import (
          MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          MobileBertForMaskedLM,
          MobileBertForMultipleChoice,
          MobileBertForNextSentencePrediction,
          MobileBertForPreTraining,
          MobileBertForQuestionAnswering,
          MobileBertForSequenceClassification,
          MobileBertForTokenClassification,
          MobileBertLayer,
          MobileBertModel,
          MobileBertPreTrainedModel,
          load_tf_weights_in_mobilebert,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_mobilebert import (
          TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFMobileBertForMaskedLM,
          TFMobileBertForMultipleChoice,
          TFMobileBertForNextSentencePrediction,
          TFMobileBertForPreTraining,
          TFMobileBertForQuestionAnswering,
          TFMobileBertForSequenceClassification,
          TFMobileBertForTokenClassification,
          TFMobileBertMainLayer,
          TFMobileBertModel,
          TFMobileBertPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase_				:			Tuple   =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


