

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


class SCREAMING_SNAKE_CASE  (		__snake_case							):






			"""simple docstring"""




			__A						  =  ["""image_processor""", """tokenizer"""]
			__A						  =  """AutoImageProcessor"""
			__A						  =  """AutoTokenizer"""


			def __init__(    self ,				__UpperCamelCase ,				__UpperCamelCase							):

				"""simple docstring"""


				super().__init__(__UpperCamelCase ,				__UpperCamelCase							)
				snake_case_      		= self.image_processor


			def __call__(    self ,				__UpperCamelCase=None ,				__UpperCamelCase=None ,				__UpperCamelCase=None ,				**__UpperCamelCase							):

				"""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(__UpperCamelCase ,				return_tensors=__UpperCamelCase ,				**__UpperCamelCase							)

				if images is not None:
					snake_case_      		= self.image_processor(__UpperCamelCase ,				return_tensors=__UpperCamelCase ,				**__UpperCamelCase							)

				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(**__UpperCamelCase							) ,				tensor_type=__UpperCamelCase							)


			def 			__lowerCAmelCase (    self ,				*__UpperCamelCase ,				**__UpperCamelCase							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self ,				*__UpperCamelCase ,				**__UpperCamelCase							):

				"""simple docstring"""


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







			@property
			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return ["input_ids", "attention_mask", "pixel_values"]



import operator as op





def a(lowercase__	):





	'''simple docstring'''
	snake_case_      		= []
	snake_case_      		= lambda lowercase__			, lowercase__	: int(x / y	)  # noqa: E731 integer division operation
	snake_case_      		= {
	    '^': op.pow,
	    '*': op.mul,
	    '/': div,
	    '+': op.add,
	    '-': op.sub,
	}  # operators & their respective operation

	# print table header
	print('Symbol'.center(8	)			, 'Action'.center(12	)			, 'Stack'			, sep=' | '	)
	print('-' * (30 + len(lowercase__	))	)

	for x in post_fix:
		if x.isdigit():  # if x in digit
			stack.append(lowercase__	)  # append x to stack
			# output in tabular format
			print(x.rjust(8	)			, ('push(' + x + ')').ljust(12	)			, ','.join(lowercase__	)			, sep=' | '	)
		else:
			snake_case_      		= stack.pop()  # pop stack
			# output in tabular format
			print(''.rjust(8	)			, ('pop(' + b + ')').ljust(12	)			, ','.join(lowercase__	)			, sep=' | '	)

			snake_case_      		= stack.pop()  # pop stack
			# output in tabular format
			print(''.rjust(8	)			, ('pop(' + a + ')').ljust(12	)			, ','.join(lowercase__	)			, sep=' | '	)

			stack.append(
			    str(opr[x](int(lowercase__	)			, int(lowercase__	)	)	)	)  # evaluate the 2 values popped from stack & push result to stack
			# output in tabular format
			print(
			    x.rjust(8	)			, ('push(' + a + x + b + ')').ljust(12	)			, ','.join(lowercase__	)			, sep=' | '			, )

	return int(stack[0]	)


if __name__ == "__main__":
		A											=     input('\n\nEnter a Postfix Equation (space separated) = ').split(' ')
		print('\n\tResult = ', solve(Postfix))
