import warnings

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



class 							a				(     __lowerCAmelCase			):







 """simple docstring"""






 lowerCamelCase      :Dict            =						["""image_processor""", """tokenizer"""]
 lowerCamelCase      :Union[str, Any]            =						"""CLIPImageProcessor"""
 lowerCamelCase      :Optional[int]            =						("""CLIPTokenizer""", """CLIPTokenizerFast""")



 def __init__(   self						,							lowerCAmelCase_=None						,							lowerCAmelCase_=None						,							**lowerCAmelCase_				)    ->   Tuple:
        _A	  =    None
        if "feature_extractor" in kwargs:
               warnings.warn(
                   """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                   """ instead."""						,							UpperCamelCase_						,							)
               _A	  =    kwargs.pop("""feature_extractor"""				)

        _A	  =    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__(UpperCamelCase_						,							UpperCamelCase_				)



 def __call__(   self						,							lowerCAmelCase_=None						,							lowerCAmelCase_=None						,							lowerCAmelCase_=None						,							**lowerCAmelCase_				)    ->   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:
               _A	  =    self.tokenizer(UpperCamelCase_						,							return_tensors=UpperCamelCase_						,							**UpperCamelCase_				)

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

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



 def 	UpperCAmelCase				(   self						,							*lowerCAmelCase_						,							**lowerCAmelCase_				)    ->   Optional[Any]:
        return self.tokenizer.batch_decode(*UpperCamelCase_						,							**UpperCamelCase_				)



 def 	UpperCAmelCase				(   self						,							*lowerCAmelCase_						,							**lowerCAmelCase_				)    ->   int:
        return self.tokenizer.decode(*UpperCamelCase_						,							**UpperCamelCase_				)



 @property
 def 	UpperCAmelCase				(   self				)    ->   Any:
        _A	  =    self.tokenizer.model_input_names
        _A	  =    self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)



 @property
 def 	UpperCAmelCase				(   self				)    ->   Union[str, Any]:
        warnings.warn(
            """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""						,							UpperCamelCase_						,							)
        return self.image_processor_class



 @property
 def 	UpperCAmelCase				(   self				)    ->   str:
        warnings.warn(
            """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""						,							UpperCamelCase_						,							)
        return self.image_processor






"""simple docstring"""



def 					lowerCamelCase   (     _snake_case    ,_snake_case ):
    UpperCAmelCase__	:      Optional[int]     							=					''
    for i in table:
        res += inp[i - 1]
    return res
def 					lowerCamelCase   (     _snake_case ):
    return data[1:] + data[0]
def 					lowerCamelCase   (     _snake_case    ,_snake_case ):
    UpperCAmelCase__	:      str     							=					''
    for i in range(len(_snake_case ) ):
        if a[i] == b[i]:
            res += "0"
        else:
            res += "1"
    return res
def 					lowerCamelCase   (     _snake_case    ,_snake_case ):
    UpperCAmelCase__	:      str     							=					int('0b' + data[0] + data[-1]    ,2 )
    UpperCAmelCase__	:      Optional[Any]     							=					int('0b' + data[1:3]    ,2 )
    return bin(s[row][col] )[2:]
def 					lowerCamelCase   (     _snake_case    ,_snake_case    ,_snake_case    ,_snake_case    ,_snake_case ):
    UpperCAmelCase__	:      Any     							=					message[:4]
    UpperCAmelCase__	:      Optional[Any]     							=					message[4:]
    UpperCAmelCase__	:      Dict     							=					apply_table(_snake_case    ,_snake_case )
    UpperCAmelCase__	:      Optional[Any]     							=					xor(_snake_case    ,_snake_case )
    UpperCAmelCase__	:      Dict     							=					apply_sbox(_snake_case    ,temp[:4] )  # noqa: E741
    UpperCAmelCase__	:      Tuple     							=					apply_sbox(_snake_case    ,temp[4:] )
    UpperCAmelCase__	:      List[str]     							=					'0' * (2 - len(_snake_case )) + l  # noqa: E741
    UpperCAmelCase__	:      Optional[Any]     							=					'0' * (2 - len(_snake_case )) + r
    UpperCAmelCase__	:      Optional[int]     							=					apply_table(l + r    ,_snake_case )
    UpperCAmelCase__	:      Any     							=					xor(_snake_case    ,_snake_case )
    return temp + right


if __name__ == "__main__":
    UpperCamelCase__          =	input('Enter 10 bit key: ')
    UpperCamelCase__          =	input('Enter 8 bit message: ')

    UpperCamelCase__          =	[6, 3, 7, 4, 8, 5, 10, 9]
    UpperCamelCase__          =	[3, 5, 2, 7, 4, 10, 1, 9, 8, 6]
    UpperCamelCase__          =	[2, 4, 3, 1]
    UpperCamelCase__          =	[2, 6, 3, 1, 4, 8, 5, 7]
    UpperCamelCase__          =	[4, 1, 3, 5, 7, 2, 8, 6]
    UpperCamelCase__          =	[4, 1, 2, 3, 2, 3, 4, 1]
    UpperCamelCase__          =	[[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
    UpperCamelCase__          =	[[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

    # key generation
    UpperCamelCase__          =	apply_table(key, paa_table)
    UpperCamelCase__          =	temp[:5]
    UpperCamelCase__          =	temp[5:]
    UpperCamelCase__          =	left_shift(left)
    UpperCamelCase__          =	left_shift(right)
    UpperCamelCase__          =	apply_table(left + right, pa_table)
    UpperCamelCase__          =	left_shift(left)
    UpperCamelCase__          =	left_shift(right)
    UpperCamelCase__          =	left_shift(left)
    UpperCamelCase__          =	left_shift(right)
    UpperCamelCase__          =	apply_table(left + right, pa_table)

    # encryption
    UpperCamelCase__          =	apply_table(message, IP)
    UpperCamelCase__          =	function(expansion, sa, sa, keya, temp)
    UpperCamelCase__          =	temp[4:] + temp[:4]
    UpperCamelCase__          =	function(expansion, sa, sa, keya, temp)
    UpperCamelCase__          =	apply_table(temp, IP_inv)
    print('Cipher text is:', CT)

    # decryption
    UpperCamelCase__          =	apply_table(CT, IP)
    UpperCamelCase__          =	function(expansion, sa, sa, keya, temp)
    UpperCamelCase__          =	temp[4:] + temp[:4]
    UpperCamelCase__          =	function(expansion, sa, sa, keya, temp)
    UpperCamelCase__          =	apply_table(temp, IP_inv)
    print('Plain text after decypting is:', PT)

