




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





class 	lowerCamelCase_							(				a__ ):


	'''simple docstring'''







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



	def __init__(							self  :		Any    ,    _lowerCAmelCase  :		Optional[int]    ,    _lowerCAmelCase  :		str						):
							super().__init__(SCREAMING_SNAKE_CASE_    ,    SCREAMING_SNAKE_CASE_						)
							SCREAMING_SNAKE_CASE_     						=      self.image_processor



	def __call__(							self  :		Optional[int]    ,    _lowerCAmelCase  :		Optional[Any]=None    ,    _lowerCAmelCase  :		List[str]=None    ,    _lowerCAmelCase  :		Optional[int]=None    ,    **_lowerCAmelCase  :		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:
													SCREAMING_SNAKE_CASE_     						=      self.tokenizer(SCREAMING_SNAKE_CASE_    ,    return_tensors=SCREAMING_SNAKE_CASE_    ,    **SCREAMING_SNAKE_CASE_						)

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

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



	def 				lowerCAmelCase_  (							self  :		Optional[Any]    ,    *_lowerCAmelCase  :		Union[str, Any]    ,    **_lowerCAmelCase  :		Tuple						):
							return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_    ,    **SCREAMING_SNAKE_CASE_						)



	def 				lowerCAmelCase_  (							self  :		Dict    ,    *_lowerCAmelCase  :		Dict    ,    **_lowerCAmelCase  :		List[str]						):
							return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_    ,    **SCREAMING_SNAKE_CASE_						)




	@property
	def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
							return ["input_ids", "attention_mask", "pixel_values"]





def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      ''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			dict[str, str]:
      SCREAMING_SNAKE_CASE_     						=      [chr(i + 65							) for i in range(26							)]
      # Remove duplicate characters from key
      SCREAMING_SNAKE_CASE_     						=      remove_duplicates(key.upper()							)
      SCREAMING_SNAKE_CASE_     						=      len(__UpperCAmelCase							)
      # First fill cipher with key characters
      SCREAMING_SNAKE_CASE_     						=      {alphabet[i]: char for i, char in enumerate(__UpperCAmelCase							)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(__UpperCAmelCase							)      ,      26							):
            SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            SCREAMING_SNAKE_CASE_     						=      char
      return cipher_alphabet

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      return "".join(cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				) ->			None:
      SCREAMING_SNAKE_CASE_     						=      input('Enter message to encode or decode: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Enter keyword: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Encipher or decipher? E/D:'							).strip()[0].lower()
      try:
            SCREAMING_SNAKE_CASE_     						=      {'e': encipher, 'd': decipher}[option]
      except KeyError:
            raise KeyError('invalid input option'							)
      SCREAMING_SNAKE_CASE_     						=      create_cipher_map(__UpperCAmelCase							)
      print(func(__UpperCAmelCase      ,      __UpperCAmelCase							)							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()