
'''simple docstring'''




import warnings

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





class  A				(							__snake_case						):
     __magic_name__						=		['''image_processor''', '''tokenizer''']
     __magic_name__						=		'''ViTImageProcessor'''
     __magic_name__						=		('''CLIPTokenizer''', '''CLIPTokenizerFast''')





     def __init__(							self						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			**SCREAMING_SNAKE_CASE	) ->				Tuple:






         """simple docstring"""






         A       :   Optional[Any]					=						None
         if "feature_extractor" in kwargs:
             warnings.warn(
                 '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
                 ''' instead.'''						,			SCREAMING_SNAKE_CASE						,			)
             A       :   int					=						kwargs.pop('''feature_extractor'''	)

         A       :   Dict					=						image_processor if image_processor is not None else feature_extractor
         if image_processor is None:
             raise ValueError('''You need to specify an `image_processor`.'''	)
         if tokenizer is None:
             raise ValueError('''You need to specify a `tokenizer`.'''	)

         super().__init__(SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE	)





     def __call__(							self						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			**SCREAMING_SNAKE_CASE	) ->				Any:






         """simple docstring"""






         if text is None and visual_prompt is None and images is None:
             raise ValueError('''You have to specify either text, visual prompt or images.'''	)

         if text is not None and visual_prompt is not None:
             raise ValueError('''You have to specify exactly one type of prompt. Either text or visual prompt.'''	)

         if text is not None:
             A       :   str					=						self.tokenizer(SCREAMING_SNAKE_CASE						,			return_tensors=SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	)

         if visual_prompt is not None:
             A       :   str					=						self.image_processor(SCREAMING_SNAKE_CASE						,			return_tensors=SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	)

         if images is not None:
             A       :   Any					=						self.image_processor(SCREAMING_SNAKE_CASE						,			return_tensors=SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	)

         if visual_prompt is not None and images is not None:
             A       :   Optional[int]					=						{
                 '''pixel_values''': image_features.pixel_values,
                 '''conditional_pixel_values''': prompt_features.pixel_values,
             }
             return encoding
         elif text is not None and images is not None:
             A       :   List[Any]					=						image_features.pixel_values
             return encoding
         elif text is not None:
             return encoding
         elif visual_prompt is not None:
             A       :   int					=						{
                 '''conditional_pixel_values''': prompt_features.pixel_values,
             }
             return encoding
         else:
             return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE	)						,			tensor_type=SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			*SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	) ->				Dict:






         """simple docstring"""






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





     def 				__lowerCAmelCase							(							self						,			*SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	) ->				int:






         """simple docstring"""






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





     @property
     def 				__lowerCAmelCase							(							self	) ->				str:






         """simple docstring"""






         warnings.warn(
             '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''						,			SCREAMING_SNAKE_CASE						,			)
         return self.image_processor_class





     @property
     def 				__lowerCAmelCase							(							self	) ->				Union[str, Any]:






         """simple docstring"""






         warnings.warn(
             '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''						,			SCREAMING_SNAKE_CASE						,			)
         return self.image_processor








import string

import numpy
def 				__lowerCamelCase						( UpperCAmelCase_						:		int ,  UpperCAmelCase_						:		int						):




      """simple docstring"""





      return b if a == 0 else greatest_common_divisor(b % a ,  UpperCAmelCase_						)







class 		_snake_case  :
 SCREAMING_SNAKE_CASE__      =       string.ascii_uppercase + string.digits
 # This cipher takes alphanumerics into account
 # i.e. a total of 36 characters

 # take x and return x % len(key_string)
 SCREAMING_SNAKE_CASE__      =       numpy.vectorize(lambda _snake_case							: x % 36							)

 SCREAMING_SNAKE_CASE__      =       numpy.vectorize(_snake_case							)




 def __init__(		self					,  _lowerCamelCase    ):
       a						:List[Any] 							=       self.modulus(_lowerCamelCase    )  # mod36 calc's on the encrypt key
       self.check_determinant()  # validate the determinant of the encryption key
       a						:int 							=       encrypt_key.shape[0]




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       return self.key_string.index(_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       return self.key_string[round(_lowerCamelCase    )]




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:str 							=       round(numpy.linalg.det(self.encrypt_key    )    )

       if det < 0:
             a						:Any 							=       det % len(self.key_string    )

       a						:Dict 							=       len(self.key_string    )
       if greatest_common_divisor(_lowerCamelCase					,  len(self.key_string    )    ) != 1:
             a						:int 							=       (
                 F'''determinant modular {req_l} of encryption key({det}) '''
                 F'''is not co prime w.r.t {req_l}.\nTry another key.'''
             )
             raise ValueError(_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:Optional[Any] 							=       [char for char in text.upper() if char in self.key_string]

       a						:List[str] 							=       chars[-1]
       while len(_lowerCamelCase    ) % self.break_key != 0:
             chars.append(_lowerCamelCase    )

       return "".join(_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:Dict 							=       self.process_text(text.upper()    )
       a						:List[str] 							=       ''''''

       for i in range(0					,  len(_lowerCamelCase    ) - self.break_key + 1					,  self.break_key    ):
             a						:int 							=       text[i : i + self.break_key]
             a						:Optional[int] 							=       [self.replace_letters(_lowerCamelCase    ) for char in batch]
             a						:Union[str, Any] 							=       numpy.array([vec]    ).T
             a						:str 							=       self.modulus(self.encrypt_key.dot(_lowerCamelCase    )    ).T.tolist()[
                 0
             ]
             a						:List[Any] 							=       ''''''.join(
                 self.replace_digits(_lowerCamelCase    ) for num in batch_encrypted    )
             encrypted += encrypted_batch

       return encrypted




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:List[Any] 							=       round(numpy.linalg.det(self.encrypt_key    )    )

       if det < 0:
             a						:int 							=       det % len(self.key_string    )
       a						:Tuple 							=       None
       for i in range(len(self.key_string    )    ):
             if (det * i) % len(self.key_string    ) == 1:
                   a						:Tuple 							=       i
                   break

       a						:List[str] 							=       (
           det_inv
           * numpy.linalg.det(self.encrypt_key    )
           * numpy.linalg.inv(self.encrypt_key    )
       )

       return self.to_int(self.modulus(_lowerCamelCase    )    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:List[Any] 							=       self.make_decrypt_key()
       a						:str 							=       self.process_text(text.upper()    )
       a						:List[Any] 							=       ''''''

       for i in range(0					,  len(_lowerCamelCase    ) - self.break_key + 1					,  self.break_key    ):
             a						:Optional[Any] 							=       text[i : i + self.break_key]
             a						:List[Any] 							=       [self.replace_letters(_lowerCamelCase    ) for char in batch]
             a						:str 							=       numpy.array([vec]    ).T
             a						:Dict 							=       self.modulus(decrypt_key.dot(_lowerCamelCase    )    ).T.tolist()[0]
             a						:List[Any] 							=       ''''''.join(
                 self.replace_digits(_lowerCamelCase    ) for num in batch_decrypted    )
             decrypted += decrypted_batch

       return decrypted







def 				__lowerCamelCase						( ):




      """simple docstring"""





      a						:Tuple 							=       int(input('''Enter the order of the encryption key: '''						)						)
      a						:Dict 							=       []

      print('''Enter each row of the encryption key with space separated integers'''						)
      for _ in range(UpperCAmelCase_						):
            a						:List[str] 							=       [int(UpperCAmelCase_						) for x in input().split()]
            hill_matrix.append(UpperCAmelCase_						)

      a						:Any 							=       HillCipher(numpy.array(UpperCAmelCase_						)						)

      print('''Would you like to encrypt or decrypt some text? (1 or 2)'''						)
      a						:Any 							=       input('''\n1. Encrypt\n2. Decrypt\n'''						)
      if option == "1":
            a						:str 							=       input('''What text would you like to encrypt?: '''						)
            print('''Your encrypted text is:'''						)
            print(hc.encrypt(UpperCAmelCase_						)						)
      elif option == "2":
            a						:Dict 							=       input('''What text would you like to decrypt?: '''						)
            print('''Your decrypted text is:'''						)
            print(hc.decrypt(UpperCAmelCase_						)						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     main()





