



class 		snake_case						:



   '''simple docstring'''






   def __init__(					self							:			Optional[Any]				,		lowerCAmelCase							:			Union[str, Any])				->				str:

    """simple docstring"""







    _snake_case    :  Optional[int]					=					val
    _snake_case    :  Optional[int]					=					None
    _snake_case    :  Optional[Any]					=					None


   def      UpperCamelCase_  (					self							:			Optional[int]				,		lowerCAmelCase							:			Dict)				->				Optional[Any]:

    """simple docstring"""







    if self.val:
     if val < self.val:
      if self.left is None:
       _snake_case    :  List[Any]					=					Node(lowerCAmelCase)
      else:
       self.left.insert(lowerCAmelCase)
     elif val > self.val:
      if self.right is None:
       _snake_case    :  Tuple					=					Node(lowerCAmelCase)
      else:
       self.right.insert(lowerCAmelCase)
    else:
     _snake_case    :  Optional[Any]					=					val



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Dict				,       SCREAMING_SNAKE_CASE__       :	Dict				)  ->     List[str]:
 # Recursive traversal
 if root:
  inorder(root.left				,       SCREAMING_SNAKE_CASE__				)
  res.append(root.val				)
  inorder(root.right				,       SCREAMING_SNAKE_CASE__				)



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				)  ->     Dict:
 # Build BST
 if len(SCREAMING_SNAKE_CASE__				) == 0:
  return arr
 _snake_case    :  Dict					=					Node(arr[0]				)
 for i in range(1				,       len(SCREAMING_SNAKE_CASE__				)				):
  root.insert(arr[i]				)
 # Traverse BST in order.
 _snake_case    :  List[str]					=					[]
 inorder(SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				)
 return res


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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a__    =	{
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a__    =	[
      """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CanineForMultipleChoice""",
      """CanineForQuestionAnswering""",
      """CanineForSequenceClassification""",
      """CanineForTokenClassification""",
      """CanineLayer""",
      """CanineModel""",
      """CaninePreTrainedModel""",
      """load_tf_weights_in_canine""",
  ]


if TYPE_CHECKING:
  from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
  from .tokenization_canine import CanineTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_canine import (
        CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
        CanineForMultipleChoice,
        CanineForQuestionAnswering,
        CanineForSequenceClassification,
        CanineForTokenClassification,
        CanineLayer,
        CanineModel,
        CaninePreTrainedModel,
        load_tf_weights_in_canine,
    )


else:
  import sys

  a__    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
