


"""simple docstring"""







class 						_A  :







    """simple docstring"""




    def __init__(					self				:    List[Any]				, __UpperCAmelCase				:    Optional[Any]):
      a						:		Union[str, Any]      							=			val
      a						:		str      							=			None
      a						:		Dict      							=			None






    def 	__snake_case							(					self				:    Tuple				, __UpperCAmelCase				:    List[Any]):
      if self.val:
        if val < self.val:
          if self.left is None:
            a						:		Tuple      							=			Node(__UpperCAmelCase)
          else:
            self.left.insert(__UpperCAmelCase)
        elif val > self.val:
          if self.right is None:
            a						:		Union[str, Any]      							=			Node(__UpperCAmelCase)
          else:
            self.right.insert(__UpperCAmelCase)
      else:
        a						:		Tuple      							=			val






def      lowercase			(				A_  ,   A_       )->      Any:
  '''simple docstring'''







  if root:
    inorder(root.left  ,   A_       )
    res.append(root.val       )
    inorder(root.right  ,   A_       )


def      lowercase			(				A_       )->      Any:
  '''simple docstring'''







  if len(A_       ) == 0:
    return arr
  a						:		Optional[int]      							=			Node(arr[0]       )
  for i in range(1  ,   len(A_       )       ):
    root.insert(arr[i]       )
  # Traverse BST in order.
  a						:		Optional[Any]      							=			[]
  inorder(A_  ,   A_       )
  return res


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










"""simple docstring"""







from typing import TYPE_CHECKING

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


__lowercase    					=      {
    """configuration_rag""": ["""RagConfig"""],
    """retrieval_rag""": ["""RagRetriever"""],
    """tokenization_rag""": ["""RagTokenizer"""],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    					=      [
     """RagModel""",
     """RagPreTrainedModel""",
     """RagSequenceForGeneration""",
     """RagTokenForGeneration""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    					=      [
     """TFRagModel""",
     """TFRagPreTrainedModel""",
     """TFRagSequenceForGeneration""",
     """TFRagTokenForGeneration""",
 ]


if TYPE_CHECKING:
 from .configuration_rag import RagConfig
 from .retrieval_rag import RagRetriever
 from .tokenization_rag import RagTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_rag import (
      TFRagModel,
      TFRagPreTrainedModel,
      TFRagSequenceForGeneration,
      TFRagTokenForGeneration,
  )

else:
 import sys

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






