



'''simple docstring'''

class 		lowerCamelCase__      :




					'''simple docstring'''



					def __init__(  self				:	Optional[Any]     ,  UpperCamelCase_				:	str					)  ->       List[Any]:



						'''simple docstring'''





						_lowercase					:       Any       =		val
						_lowercase					:       Optional[int]       =		None
						_lowercase					:       List[Any]       =		None




					def 						__UpperCAmelCase     (  self				:	Optional[int]     ,  UpperCamelCase_				:	Tuple					)  ->       Dict:



						'''simple docstring'''





						if self.val:
							if val < self.val:
								if self.left is None:
									_lowercase					:       Union[str, Any]       =		Node(UpperCamelCase_					)
								else:
									self.left.insert(UpperCamelCase_					)
							elif val > self.val:
								if self.right is None:
									_lowercase					:       List[Any]       =		Node(UpperCamelCase_					)
								else:
									self.right.insert(UpperCamelCase_					)
						else:
							_lowercase					:       Optional[int]       =		val







def 						__UpperCamelCase				(							_lowercase,				_lowercase					) ->			List[Any]:
	# Recursive traversal
	if root:
		inorder(root.left,				_lowercase					)
		res.append(root.val					)
		inorder(root.right,				_lowercase					)







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


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





'''simple docstring'''

from typing import TYPE_CHECKING

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


_A				:    Union[str, Any]     						={'''configuration_reformer''': ['''REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ReformerConfig''']}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_A				:    Dict     						=['''ReformerTokenizer''']

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

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_A				:    str     						=[
		    '''REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''ReformerAttention''',
		    '''ReformerForMaskedLM''',
		    '''ReformerForQuestionAnswering''',
		    '''ReformerForSequenceClassification''',
		    '''ReformerLayer''',
		    '''ReformerModel''',
		    '''ReformerModelWithLMHead''',
		    '''ReformerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_reformer import ReformerTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_reformer_fast import ReformerTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_reformer import (
				    REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ReformerAttention,
				    ReformerForMaskedLM,
				    ReformerForQuestionAnswering,
				    ReformerForSequenceClassification,
				    ReformerLayer,
				    ReformerModel,
				    ReformerModelWithLMHead,
				    ReformerPreTrainedModel,
				)

else:
		import sys

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