



from ... import PretrainedConfig


_lowercase     							=						{
    '''sijunhe/nezha-cn-base''': '''https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json''',
}
class 				__A					( A_      ):
			UpperCamelCase					:Optional[Any]     =			NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
			UpperCamelCase					:int     =			'''nezha'''





			def __init__(self							,    __magic_name__=21128							,    __magic_name__=768							,    __magic_name__=12							,    __magic_name__=12							,    __magic_name__=3072							,    __magic_name__="gelu"							,    __magic_name__=0.1							,    __magic_name__=0.1							,    __magic_name__=512							,    __magic_name__=64							,    __magic_name__=2							,    __magic_name__=0.02							,    __magic_name__=1E-12							,    __magic_name__=0.1							,    __magic_name__=0							,    __magic_name__=2							,    __magic_name__=3							,    __magic_name__=True							,    **__magic_name__							,    ):
						super().__init__(pad_token_id=__magic_name__							,    bos_token_id=__magic_name__							,    eos_token_id=__magic_name__							,    **__magic_name__				)

						lowerCamelCase__ :      List[str]								=		vocab_size
						lowerCamelCase__ :      int								=		hidden_size
						lowerCamelCase__ :      int								=		num_hidden_layers
						lowerCamelCase__ :      Optional[int]								=		num_attention_heads
						lowerCamelCase__ :      Dict								=		hidden_act
						lowerCamelCase__ :      str								=		intermediate_size
						lowerCamelCase__ :      Optional[Any]								=		hidden_dropout_prob
						lowerCamelCase__ :      Dict								=		attention_probs_dropout_prob
						lowerCamelCase__ :      str								=		max_position_embeddings
						lowerCamelCase__ :      Optional[Any]								=		max_relative_position
						lowerCamelCase__ :      Optional[int]								=		type_vocab_size
						lowerCamelCase__ :      Optional[Any]								=		initializer_range
						lowerCamelCase__ :      Any								=		layer_norm_eps
						lowerCamelCase__ :      Union[str, Any]								=		classifier_dropout
						lowerCamelCase__ :      Union[str, Any]								=		use_cache






from string import ascii_uppercase

_lowercase     							=						{char: i for i, char in enumerate(ascii_uppercase)}
_lowercase     							=						dict(enumerate(ascii_uppercase))






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      List[str]								=		len(UpperCamelCase )
			lowerCamelCase__ :      int								=		0
			while True:
						if x == i:
									lowerCamelCase__ :      Union[str, Any]								=		0
						if len(UpperCamelCase ) == len(UpperCamelCase ):
									break
						key += key[i]
						i += 1
			return key






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      int								=		""""""
			lowerCamelCase__ :      str								=		0
			for letter in message:
						if letter == " ":
									cipher_text += " "
						else:
									lowerCamelCase__ :      Optional[int]								=		(dicta[letter] - dicta[key_new[i]]) % 26
									i += 1
									cipher_text += dicta[x]
			return cipher_text






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Dict								=		""""""
			lowerCamelCase__ :      Tuple								=		0
			for letter in cipher_text:
						if letter == " ":
									or_txt += " "
						else:
									lowerCamelCase__ :      List[Any]								=		(dicta[letter] + dicta[key_new[i]] + 26) % 26
									i += 1
									or_txt += dicta[x]
			return or_txt






def      _A				()  ->None:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		"""THE GERMAN ATTACK"""
			lowerCamelCase__ :      Union[str, Any]								=		"""SECRET"""
			lowerCamelCase__ :      List[str]								=		generate_key(UpperCamelCase      ,			UpperCamelCase )
			lowerCamelCase__ :      List[Any]								=		cipher_text(UpperCamelCase      ,			UpperCamelCase )
			print(f"Encrypted Text = {s}" )
			print(f"Original Text = {original_text(UpperCamelCase      ,			UpperCamelCase )}" )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()



