

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				Union[str, Any]											=							['image_processor', 'tokenizer']
						lowercase  :				Dict											=							'EfficientNetImageProcessor'
						lowercase  :				Dict											=							('BertTokenizer', 'BertTokenizerFast')

						def __init__(				self , __UpperCamelCase , __UpperCamelCase    )							->	Optional[Any]:




									'''simple docstring'''


									super().__init__(__UpperCamelCase , __UpperCamelCase    )

						def __call__(				self , __UpperCamelCase=None , __UpperCamelCase=None , __UpperCamelCase="max_length" , __UpperCamelCase=64 , __UpperCamelCase=None , **__UpperCamelCase    )							->	Optional[Any]:




									'''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:
												__UpperCamelCase    :    str								=      self.tokenizer(
												    __UpperCamelCase , padding=__UpperCamelCase , max_length=__UpperCamelCase , return_tensors=__UpperCamelCase , **__UpperCamelCase    )

									if images is not None:
												__UpperCamelCase    :    Union[str, Any]								=      self.image_processor(__UpperCamelCase , return_tensors=__UpperCamelCase , **__UpperCamelCase    )

									if text is not None and images is not None:
												__UpperCamelCase    :    List[Any]								=      image_features.pixel_values
												return encoding
									elif text is not None:
												return encoding
									else:
												return BatchEncoding(data=dict(**__UpperCamelCase    ) , tensor_type=__UpperCamelCase    )

						def __lowerCamelCase					(				self , *__UpperCamelCase , **__UpperCamelCase    )							->	Any:




									'''simple docstring'''


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

						def __lowerCamelCase					(				self , *__UpperCamelCase , **__UpperCamelCase    )							->	Any:




									'''simple docstring'''


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




						@property
						def __lowerCamelCase					(				self    )							->	Optional[int]:




									'''simple docstring'''


									__UpperCamelCase    :    int								=      self.tokenizer.model_input_names
									__UpperCamelCase    :    Tuple								=      self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )


from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_lowerCAmelCase     ,			-1		)







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			if not balanced_parentheses(_lowerCAmelCase		):
						raise ValueError("Mismatched parentheses"		)
			__UpperCamelCase    :    Stack[str]								=      Stack()
			__UpperCamelCase    :    int								=      []
			for char in expression_str:
						if char.isalpha() or char.isdigit():
									postfix.append(_lowerCAmelCase		)
						elif char == "(":
									stack.push(_lowerCAmelCase		)
						elif char == ")":
									while not stack.is_empty() and stack.peek() != "(":
												postfix.append(stack.pop()		)
									stack.pop()
						else:
									while not stack.is_empty() and precedence(_lowerCAmelCase		) <= precedence(stack.peek()		):
												postfix.append(stack.pop()		)
									stack.push(_lowerCAmelCase		)
			while not stack.is_empty():
						postfix.append(stack.pop()		)
			return " ".join(_lowerCAmelCase		)


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					lowercase     :       int        =       "a+b*(c^d-e)^(f+g*h)-i"

					print("Infix to Postfix Notation demonstration:\n")
					print("Infix notation: " + expression)
					print("Postfix notation: " + infix_to_postfix(expression))