




"""simple docstring"""







from typing import TYPE_CHECKING

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


__A   :  Optional[Any]					=      {
    'configuration_deberta': ['DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DebertaConfig', 'DebertaOnnxConfig'],
    'tokenization_deberta': ['DebertaTokenizer'],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A   :  Optional[int]					=      ['DebertaTokenizerFast']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A   :  int					=      [
						    'DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'DebertaForMaskedLM',
						    'DebertaForQuestionAnswering',
						    'DebertaForSequenceClassification',
						    'DebertaForTokenClassification',
						    'DebertaModel',
						    'DebertaPreTrainedModel',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A   :  Dict					=      [
						    'TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFDebertaForMaskedLM',
						    'TFDebertaForQuestionAnswering',
						    'TFDebertaForSequenceClassification',
						    'TFDebertaForTokenClassification',
						    'TFDebertaModel',
						    'TFDebertaPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
						from .tokenization_deberta import DebertaTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_deberta_fast import DebertaTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_deberta import (
												    DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    DebertaForMaskedLM,
												    DebertaForQuestionAnswering,
												    DebertaForSequenceClassification,
												    DebertaForTokenClassification,
												    DebertaModel,
												    DebertaPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_deberta import (
												    TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFDebertaForMaskedLM,
												    TFDebertaForQuestionAnswering,
												    TFDebertaForSequenceClassification,
												    TFDebertaForTokenClassification,
												    TFDebertaModel,
												    TFDebertaPreTrainedModel,
												)


else:
						import sys

						__A   :  str					=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










"""simple docstring"""







class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	int    ,   lowercase__					:	List[Any]						):
						__lowercase				:		Tuple												=				val
						__lowercase				:		Optional[Any]												=				None
						__lowercase				:		Tuple												=				None



				def       snake_case    (     self					:	Optional[Any]    ,   lowercase__					:	List[str]						):
						if self.val:
								if val < self.val:
										if self.left is None:
												__lowercase				:		Tuple												=				Node(lowercase__						)
										else:
												self.left.insert(lowercase__						)
								elif val > self.val:
										if self.right is None:
												__lowercase				:		Any												=				Node(lowercase__						)
										else:
												self.right.insert(lowercase__						)
						else:
								__lowercase				:		Optional[Any]												=				val





def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Any:






		"""simple docstring"""


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

def 						snake_case__       (					_lowerCamelCase				)			->Optional[Any]:






		"""simple docstring"""


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


if __name__ == "__main__":
						print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))
