class    _UpperCamelCase      :


			"""simple docstring"""






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

							'''simple docstring'''


							__lowercase 			=							val
							__lowercase 			=							None
							__lowercase 			=							None





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__						)     ->					List[Any]:

							'''simple docstring'''


							if self.val:
											if val < self.val:
															if self.left is None:
																			__lowercase 			=							Node(lowerCAmelCase__						)
															else:
																			self.left.insert(lowerCAmelCase__						)
											elif val > self.val:
															if self.right is None:
																			__lowercase 			=							Node(lowerCAmelCase__						)
															else:
																			self.right.insert(lowerCAmelCase__						)
							else:
											__lowercase 			=							val





def 				UpperCAmelCase						(    lowercase							,			lowercase							):







				"""simple docstring"""



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





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



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


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

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


__a  :     Any       =  {
    """configuration_bloom""": ["""BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BloomConfig""", """BloomOnnxConfig"""],
}
try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     Optional[int]       =  ["""BloomTokenizerFast"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     str       =  [
		    """BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BloomForCausalLM""",
		    """BloomModel""",
		    """BloomPreTrainedModel""",
		    """BloomForSequenceClassification""",
		    """BloomForTokenClassification""",
		    """BloomForQuestionAnswering""",
		]

if TYPE_CHECKING:
		from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bloom_fast import BloomTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bloom import (
				    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BloomForCausalLM,
				    BloomForQuestionAnswering,
				    BloomForSequenceClassification,
				    BloomForTokenClassification,
				    BloomModel,
				    BloomPreTrainedModel,
				)

else:
		import sys

		__a  :     Dict       =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)