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




class    __lowerCAmelCase  (       a_						):



 '''simple docstring'''
 _lowerCamelCase						:	Any				    = ['image_processor', 'tokenizer']
 _lowerCamelCase						:	int				    = 'EfficientNetImageProcessor'
 _lowerCamelCase						:	int				    = ('BertTokenizer', 'BertTokenizerFast')

 def __init__(			self       :		Optional[Any]       ,			lowerCamelCase       :		str       ,			lowerCamelCase       :		Tuple  ) ->							Tuple:
        super().__init__(lowerCamelCase       ,			lowerCamelCase  )

 def __call__(			self       :		Optional[Any]       ,			lowerCamelCase       :		Tuple=None       ,			lowerCamelCase       :		Dict=None       ,			lowerCamelCase       :		int="max_length"       ,			lowerCamelCase       :		List[str]=6_4       ,			lowerCamelCase       :		str=None       ,			**lowerCamelCase       :		Tuple  ) ->							List[Any]:
        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     :       int  						=  self.tokenizer(
                   lowerCamelCase       ,			padding=lowerCamelCase       ,			max_length=lowerCamelCase       ,			return_tensors=lowerCamelCase       ,			**lowerCamelCase  )

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

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

 def 					__snake_case					(			self       :		Tuple       ,			*lowerCamelCase       :		Dict       ,			**lowerCamelCase       :		Optional[Any]  ) ->							List[str]:
        return self.tokenizer.batch_decode(*lowerCamelCase       ,			**lowerCamelCase  )

 def 					__snake_case					(			self       :		Tuple       ,			*lowerCamelCase       :		int       ,			**lowerCamelCase       :		int  ) ->							Any:
        return self.tokenizer.decode(*lowerCamelCase       ,			**lowerCamelCase  )

 @property
 def 					__snake_case					(			self       :		Optional[Any]  ) ->							Optional[Any]:
        _UpperCamelCase     :       Optional[int]  						=  self.tokenizer.model_input_names
        _UpperCamelCase     :       str  						=  self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )




UpperCAmelCase					=				[chr(i) for i in range(32, 1_26)]
UpperCAmelCase					=				list(range(len(alphabets)))
UpperCAmelCase					=				list(range(len(alphabets)))
UpperCAmelCase					=				list(range(len(alphabets)))
UpperCAmelCase					=				list(reversed(range(len(alphabets))))
UpperCAmelCase					=				[]
UpperCAmelCase					=				UpperCAmelCase					=				UpperCAmelCase					=				0


def SCREAMING_SNAKE_CASE				(     ):
       global gear_one_pos
       global gear_two_pos
       global gear_three_pos
       _UpperCamelCase     :       Any  						=  gear_one[0]
       gear_one.append(lowercase_				)
       del gear_one[0]
       gear_one_pos += 1
       if gear_one_pos % int(len(lowercase_				)				) == 0:
              _UpperCamelCase     :       str  						=  gear_two[0]
              gear_two.append(lowercase_				)
              del gear_two[0]
              gear_two_pos += 1
              if gear_two_pos % int(len(lowercase_				)				) == 0:
                     _UpperCamelCase     :       int  						=  gear_three[0]
                     gear_three.append(lowercase_				)
                     del gear_three[0]
                     gear_three_pos += 1


def SCREAMING_SNAKE_CASE				(     lowercase_:	List[Any]				):
       _UpperCamelCase     :       Dict  						=  alphabets.index(lowercase_				)
       _UpperCamelCase     :       Union[str, Any]  						=  gear_one[target]
       _UpperCamelCase     :       Any  						=  gear_two[target]
       _UpperCamelCase     :       Tuple  						=  gear_three[target]
       _UpperCamelCase     :       Tuple  						=  reflector[target]
       _UpperCamelCase     :       Any  						=  gear_three.index(lowercase_				)
       _UpperCamelCase     :       Any  						=  gear_two.index(lowercase_				)
       _UpperCamelCase     :       str  						=  gear_one.index(lowercase_				)
       code.append(alphabets[target]				)
       rotator()


if __name__ == "__main__":
 UpperCAmelCase					=				list(input('''Type your message:\n'''))
 while True:
  try:
   UpperCAmelCase					=				int(input('''Please set token:(must be only digits)\n'''))
   break
  except Exception as error:
   print(error)
 for _ in range(token):
  rotator()
 for j in decode:
  engine(j)
 print('''\n''' + ''''''.join(code))
 print(
     f'''\nYour Token is {token} please write it down.\nIf you want to decode '''
     '''this message again you should input same digits as token!'''
 )



