
def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase     ,		__lowerCAmelCase				):
    snake_case__    =					''
    for i in table:
        res += inp[i - 1]
    return res





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    return data[1:] + data[0]





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase     ,		__lowerCAmelCase				):
    snake_case__    =					''
    for i in range(len(__a				)				):
        if a[i] == b[i]:
            res += "0"
        else:
            res += "1"
    return res





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase     ,		__lowerCAmelCase				):
    snake_case__    =					int("0b" + data[0] + data[-1]     ,		2				)
    snake_case__    =					int("0b" + data[1:3]     ,		2				)
    return bin(s[row][col]				)[2:]





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase     ,		__lowerCAmelCase     ,		__lowerCAmelCase     ,		__lowerCAmelCase     ,		__lowerCAmelCase				):
    snake_case__    =					message[:4]
    snake_case__    =					message[4:]
    snake_case__    =					apply_table(__a     ,		__a				)
    snake_case__    =					xor(__a     ,		__a				)
    snake_case__    =					apply_sbox(__a     ,		temp[:4]				)  # noqa: E741
    snake_case__    =					apply_sbox(__a     ,		temp[4:]				)
    snake_case__    =					'0' * (2 - len(__a				)) + l  # noqa: E741
    snake_case__    =					'0' * (2 - len(__a				)) + r
    snake_case__    =					apply_table(l + r     ,		__a				)
    snake_case__    =					xor(__a     ,		__a				)
    return temp + right


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

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

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

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

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








"""simple docstring"""







from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_							=    logging.get_logger(__name__)

a_							=    {
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}







class 					A_(SCREAMING_SNAKE_CASE_      ):







			"""simple docstring"""



			a_       :			List[Any]												=			"""xlm-prophetnet"""
			a_       :			Any												=			["""past_key_values"""]
			a_       :			Optional[int]												=			{
			    """num_attention_heads""": """num_encoder_attention_heads""",
			}
			def __init__(	self				,   A = 0.1				,   A = "gelu"				,   A = 3_0522				,   A = 1024				,   A = 4096				,   A = 12				,   A = 16				,   A = 4096				,   A = 12				,   A = 16				,   A = 0.1				,   A = 0.1				,   A = 512				,   A = 0.0_2				,   A = True				,   A = True				,   A = 0				,   A = 2				,   A = 32				,   A = 128				,   A = False				,   A = 0.0				,   A = True				,   A = 0				,   A = 1				,   A = 2				,   **A				,   ):
						_lowerCamelCase					:					Dict	       =    vocab_size
						_lowerCamelCase					:					List[Any]	       =    hidden_size
						_lowerCamelCase					:					List[Any]	       =    encoder_ffn_dim
						_lowerCamelCase					:					Any	       =    num_encoder_layers
						_lowerCamelCase					:					Any	       =    num_encoder_attention_heads
						_lowerCamelCase					:					List[str]	       =    decoder_ffn_dim
						_lowerCamelCase					:					Optional[int]	       =    num_decoder_layers
						_lowerCamelCase					:					List[str]	       =    num_decoder_attention_heads
						_lowerCamelCase					:					Optional[Any]	       =    max_position_embeddings
						_lowerCamelCase					:					Optional[Any]	       =    init_std  # Normal(0, this parameter)
						_lowerCamelCase					:					Optional[int]	       =    activation_function

						# parameters for xlmprophetnet
						_lowerCamelCase					:					Any	       =    ngram
						_lowerCamelCase					:					Dict	       =    num_buckets
						_lowerCamelCase					:					Dict	       =    relative_max_distance
						_lowerCamelCase					:					Optional[Any]	       =    disable_ngram_loss
						_lowerCamelCase					:					Union[str, Any]	       =    eps

						# 3 Types of Dropout
						_lowerCamelCase					:					int	       =    attention_dropout
						_lowerCamelCase					:					str	       =    activation_dropout
						_lowerCamelCase					:					Optional[int]	       =    dropout

						_lowerCamelCase					:					List[Any]	       =    use_cache

						super().__init__(
						    pad_token_id=A				,   bos_token_id=A				,   eos_token_id=A				,   is_encoder_decoder=A				,   add_cross_attention=A				,   decoder_start_token_id=A				,   **A				,   )
			@property
			def    _lowerCAmelCase		(	self							):
						return self.num_encoder_layers + self.num_decoder_layers

			@num_hidden_layers.setter
			def    _lowerCAmelCase		(	self				,   A							):
						raise NotImplementedError(
						    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
						    ' `num_decoder_layers`.'							)





