
'''simple docstring'''





class      SCREAMING_SNAKE_CASE__  :





	'''simple docstring'''



	def __init__(						self			:					Optional[Any]    ,						lowercase			:					Tuple			):


				'''simple docstring'''


				_snake_case						=    data
				_snake_case						=    None
				_snake_case						=    None






def  a_	( __lowercase     :			BinaryTreeNode | None ,      __lowercase     :			int				)				->						Optional[Any]:
			if node is None:
						_snake_case						=    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:
						_snake_case						=    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
						_snake_case						=    insert(node.right_child ,      UpperCamelCase__				)
			return node






def  a_	( __lowercase     :			None | BinaryTreeNode				)				->						Optional[int]:  # if node is None,return
			if node:
						_snake_case						=    inorder(node.left_child				)
						_snake_case						=    [*inorder_array, node.data]
						_snake_case						=    inorder_array + inorder(node.right_child				)
			else:
						_snake_case						=    []
			return inorder_array






def  a_	( )				->						Optional[Any]:
			_snake_case						=    insert(UpperCamelCase__ ,      15				)
			insert(UpperCamelCase__ ,      10				)
			insert(UpperCamelCase__ ,      25				)
			insert(UpperCamelCase__ ,      6				)
			insert(UpperCamelCase__ ,      14				)
			insert(UpperCamelCase__ ,      20				)
			insert(UpperCamelCase__ ,      60				)
			return root






def  a_	( )				->						str:
			# main function
			_snake_case						=    make_tree()
			print('Printing values of binary search tree in Inorder Traversal.'				)
			inorder(UpperCamelCase__				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	int					     =      ["image_processor", "tokenizer"]
	_UpperCAmelCase :	Tuple					     =      "EfficientNetImageProcessor"
	_UpperCAmelCase :	Optional[Any]					     =      ("BertTokenizer", "BertTokenizerFast")



	def __init__(						self			:					Tuple    ,						lowercase			:					List[Any]    ,						lowercase			:					Optional[int]			):


				'''simple docstring'''


				super().__init__(lowercase    ,						lowercase			)



	def __call__(						self			:					Union[str, Any]    ,						lowercase			:					Dict=None    ,						lowercase			:					Optional[int]=None    ,						lowercase			:					List[Any]="max_length"    ,						lowercase			:					Optional[int]=64    ,						lowercase			:					int=None    ,						**lowercase			:					Tuple			):


				'''simple docstring'''


				if text is None and images is None:
							raise ValueError('You have to specify either text or images. Both cannot be none.'			)

				if text is not None:
							_snake_case						=    self.tokenizer(
							    lowercase    ,						padding=lowercase    ,						max_length=lowercase    ,						return_tensors=lowercase    ,						**lowercase			)

				if images is not None:
							_snake_case						=    self.image_processor(lowercase    ,						return_tensors=lowercase    ,						**lowercase			)

				if text is not None and images is not None:
							_snake_case						=    image_features.pixel_values
							return encoding
				elif text is not None:
							return encoding
				else:
							return BatchEncoding(data=dict(**lowercase			)    ,						tensor_type=lowercase			)



	def 				A							(						self			:					Any    ,						*lowercase			:					List[str]    ,						**lowercase			:					Optional[Any]			):


				'''simple docstring'''


				return self.tokenizer.batch_decode(*lowercase    ,						**lowercase			)



	def 				A							(						self			:					List[Any]    ,						*lowercase			:					Union[str, Any]    ,						**lowercase			:					Tuple			):


				'''simple docstring'''


				return self.tokenizer.decode(*lowercase    ,						**lowercase			)





	@property
	def 				A							(						self			:					List[str]			):


				'''simple docstring'''


				_snake_case						=    self.tokenizer.model_input_names
				_snake_case						=    self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)