



"""simple docstring"""






from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE  ):
   A__		:	str           =  ['''image_processor''', '''tokenizer''']
   A__		:	Tuple           =  '''BlipImageProcessor'''
   A__		:	str           =  ('''BertTokenizer''', '''BertTokenizerFast''')



   def __init__(       self    :	Any							,       __lowerCamelCase    :	List[Any]							,       __lowerCamelCase    :	Any				):



     """simple docstring"""
     _snake_case   	=      False
     super().__init__(__lowerCamelCase							,       __lowerCamelCase				)
     _snake_case   	=      self.image_processor



   def __call__(       self    :	Optional[int]							,       __lowerCamelCase    :	ImageInput = None							,       __lowerCamelCase    :	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None							,       __lowerCamelCase    :	bool = True							,       __lowerCamelCase    :	Union[bool, str, PaddingStrategy] = False							,       __lowerCamelCase    :	Union[bool, str, TruncationStrategy] = None							,       __lowerCamelCase    :	Optional[int] = None							,       __lowerCamelCase    :	int = 0							,       __lowerCamelCase    :	Optional[int] = None							,       __lowerCamelCase    :	Optional[bool] = None							,       __lowerCamelCase    :	bool = False							,       __lowerCamelCase    :	bool = False							,       __lowerCamelCase    :	bool = False							,       __lowerCamelCase    :	bool = False							,       __lowerCamelCase    :	bool = False							,       __lowerCamelCase    :	bool = True							,       __lowerCamelCase    :	Optional[Union[str, TensorType]] = None							,       **__lowerCamelCase    :	List[str]							,       ):



     """simple docstring"""
     if images is None and text is None:
       raise ValueError('''You have to specify either images or text.'''				)

     # Get only text
     if images is None:
       _snake_case   	=      self.tokenizer
       _snake_case   	=      self.tokenizer(
           text=__lowerCamelCase							,       add_special_tokens=__lowerCamelCase							,       padding=__lowerCamelCase							,       truncation=__lowerCamelCase							,       max_length=__lowerCamelCase							,       stride=__lowerCamelCase							,       pad_to_multiple_of=__lowerCamelCase							,       return_attention_mask=__lowerCamelCase							,       return_overflowing_tokens=__lowerCamelCase							,       return_special_tokens_mask=__lowerCamelCase							,       return_offsets_mapping=__lowerCamelCase							,       return_token_type_ids=__lowerCamelCase							,       return_length=__lowerCamelCase							,       verbose=__lowerCamelCase							,       return_tensors=__lowerCamelCase							,       **__lowerCamelCase							,       )
       return text_encoding

     # add pixel_values
     _snake_case   	=      self.image_processor(__lowerCamelCase							,       return_tensors=__lowerCamelCase				)

     if text is not None:
       _snake_case   	=      self.tokenizer(
           text=__lowerCamelCase							,       add_special_tokens=__lowerCamelCase							,       padding=__lowerCamelCase							,       truncation=__lowerCamelCase							,       max_length=__lowerCamelCase							,       stride=__lowerCamelCase							,       pad_to_multiple_of=__lowerCamelCase							,       return_attention_mask=__lowerCamelCase							,       return_overflowing_tokens=__lowerCamelCase							,       return_special_tokens_mask=__lowerCamelCase							,       return_offsets_mapping=__lowerCamelCase							,       return_token_type_ids=__lowerCamelCase							,       return_length=__lowerCamelCase							,       verbose=__lowerCamelCase							,       return_tensors=__lowerCamelCase							,       **__lowerCamelCase							,       )
     else:
       _snake_case   	=      None

     if text_encoding is not None:
       encoding_image_processor.update(__lowerCamelCase				)

     return encoding_image_processor



   def    __UpperCAmelCase    (       self    :	Dict							,       *__lowerCamelCase    :	List[str]							,       **__lowerCamelCase    :	Optional[Any]				):



     """simple docstring"""
     return self.tokenizer.batch_decode(*__lowerCamelCase							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	List[str]							,       *__lowerCamelCase    :	Optional[Any]							,       **__lowerCamelCase    :	Any				):



     """simple docstring"""
     return self.tokenizer.decode(*__lowerCamelCase							,       **__lowerCamelCase				)





   @property
   def    __UpperCAmelCase    (       self    :	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				)				)











'''simple docstring'''

import operator as op


def 						__magic_name__       (      __UpperCAmelCase      )						->   Dict:

					'''simple docstring'''

					snake_case_		     =							[]
					snake_case_		     =							lambda __UpperCAmelCase, __UpperCAmelCase      : 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(__UpperCAmelCase      ))      )

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

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

															stack.append(
															    str(opr[x](int(__UpperCAmelCase      ), int(__UpperCAmelCase      )      )      )      )  # 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(__UpperCAmelCase      ), sep=''' | ''', )

					return int(stack[0]      )


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

