




class 		A__				:






	def __init__(	self				,     lowerCamelCase						)      ->   None:




						"""simple docstring"""






						__magic_name__					:							int		   =							data
						__magic_name__					:							BinaryTreeNode | None		   =							None
						__magic_name__					:							BinaryTreeNode | None		   =							None







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->BinaryTreeNode | None:






					"""simple docstring"""






					if node is None:
										__magic_name__					:							Optional[int]		   =							BinaryTreeNode(UpperCAmelCase       )
										return node

					# binary search tree is not empty,
					# so we will insert it into the tree
					# if new_value is less than value of data in node,
					#  add it to left subtree and proceed recursively
					if new_value < node.data:
										__magic_name__					:							List[Any]		   =							insert(node.left_child,	UpperCAmelCase       )
					else:
										# if new_value is greater than value of data in node,
										#  add it to right subtree and proceed recursively
										__magic_name__					:							List[Any]		   =							insert(node.right_child,	UpperCAmelCase       )
					return node







def  lowerCAmelCase  (	UpperCAmelCase       )  ->list[int]:  # if node is None,return






					"""simple docstring"""






					if node:
										__magic_name__					:							int		   =							inorder(node.left_child       )
										__magic_name__					:							Optional[int]		   =							[*inorder_array, node.data]
										__magic_name__					:							Union[str, Any]		   =							inorder_array + inorder(node.right_child       )
					else:
										__magic_name__					:							str		   =							[]
					return inorder_array







def  lowerCAmelCase  (	)  ->BinaryTreeNode | None:






					"""simple docstring"""






					__magic_name__					:							List[Any]		   =							insert(UpperCAmelCase,	15       )
					insert(UpperCAmelCase,	10       )
					insert(UpperCAmelCase,	25       )
					insert(UpperCAmelCase,	6       )
					insert(UpperCAmelCase,	14       )
					insert(UpperCAmelCase,	20       )
					insert(UpperCAmelCase,	60       )
					return root







def  lowerCAmelCase  (	)  ->None:






					"""simple docstring"""






					__magic_name__					:							Optional[Any]		   =							make_tree()
					print('''Printing values of binary search tree in Inorder Traversal.'''       )
					inorder(UpperCAmelCase       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()









from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_		=							logging.get_logger(__name__)

lowercase_		=							{
    '''uw-madison/yoso-4096''': '''https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json''',
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}





class 		A__				(   __SCREAMING_SNAKE_CASE ):
	lowerCamelCase__		: Tuple				    ="yoso"






	def __init__(	self				,     lowerCamelCase=50265				,     lowerCamelCase=768				,     lowerCamelCase=12				,     lowerCamelCase=12				,     lowerCamelCase=3072				,     lowerCamelCase="gelu"				,     lowerCamelCase=0.1				,     lowerCamelCase=0.1				,     lowerCamelCase=4096				,     lowerCamelCase=1				,     lowerCamelCase=0.0_2				,     lowerCamelCase=1e-12				,     lowerCamelCase="absolute"				,     lowerCamelCase=True				,     lowerCamelCase=9				,     lowerCamelCase=64				,     lowerCamelCase=None				,     lowerCamelCase=True				,     lowerCamelCase=True				,     lowerCamelCase=1				,     lowerCamelCase=0				,     lowerCamelCase=2				,     **lowerCamelCase				,     )      ->   Tuple:




						"""simple docstring"""






						super().__init__(pad_token_id=lowerCamelCase				,     bos_token_id=lowerCamelCase				,     eos_token_id=lowerCamelCase				,     **lowerCamelCase						)

						__magic_name__					:							Union[str, Any]		   =							vocab_size
						__magic_name__					:							Union[str, Any]		   =							max_position_embeddings
						__magic_name__					:							Tuple		   =							hidden_size
						__magic_name__					:							Optional[Any]		   =							num_hidden_layers
						__magic_name__					:							Any		   =							num_attention_heads
						__magic_name__					:							List[str]		   =							intermediate_size
						__magic_name__					:							List[str]		   =							hidden_act
						__magic_name__					:							Tuple		   =							hidden_dropout_prob
						__magic_name__					:							str		   =							attention_probs_dropout_prob
						__magic_name__					:							str		   =							initializer_range
						__magic_name__					:							List[str]		   =							type_vocab_size
						__magic_name__					:							Dict		   =							layer_norm_eps
						__magic_name__					:							Any		   =							position_embedding_type
						__magic_name__					:							Optional[Any]		   =							use_expectation
						__magic_name__					:							Optional[Any]		   =							hash_code_len
						__magic_name__					:							Dict		   =							num_hash
						__magic_name__					:							str		   =							conv_window
						__magic_name__					:							Optional[Any]		   =							use_fast_hash
						__magic_name__					:							Union[str, Any]		   =							lsh_backward



