

from string import ascii_uppercase

lowerCAmelCase							:  Any            =						{char: i for i, char in enumerate(ascii_uppercase)}
lowerCAmelCase							:  Union[str, Any]            =						dict(enumerate(ascii_uppercase))







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Tuple  		=	len(_UpperCAmelCase   )
						SCREAMING_SNAKE_CASE_:			Dict  		=	0
						while True:
												if x == i:
																		SCREAMING_SNAKE_CASE_:			List[str]  		=	0
												if len(_UpperCAmelCase   ) == len(_UpperCAmelCase   ):
																		break
												key += key[i]
												i += 1
						return key







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Any  		=	""
						SCREAMING_SNAKE_CASE_:			List[str]  		=	0
						for letter in message:
												if letter == " ":
																		cipher_text += " "
												else:
																		SCREAMING_SNAKE_CASE_:			str  		=	(dicta[letter] - dicta[key_new[i]]) % 26
																		i += 1
																		cipher_text += dicta[x]
						return cipher_text







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	""
						SCREAMING_SNAKE_CASE_:			Dict  		=	0
						for letter in cipher_text:
												if letter == " ":
																		or_txt += " "
												else:
																		SCREAMING_SNAKE_CASE_:			List[str]  		=	(dicta[letter] + dicta[key_new[i]] + 26) % 26
																		i += 1
																		or_txt += dicta[x]
						return or_txt







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			Dict  		=	"THE GERMAN ATTACK"
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	"SECRET"
						SCREAMING_SNAKE_CASE_:			Dict  		=	generate_key(_UpperCAmelCase    ,     _UpperCAmelCase   )
						SCREAMING_SNAKE_CASE_:			Union[str, 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()









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


lowerCAmelCase							:  Optional[int]            =						logging.get_logger(__name__)

lowerCAmelCase							:  int            =						{
    """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/config.json""",
    """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/config.json"""
    # See all FNet models at https://huggingface.co/models?filter=fnet
}



class   __lowercase    (			UpperCAmelCase_     ):




			"""simple docstring"""







			_UpperCAmelCase       :							int      							=					'''fnet'''



			def __init__(			self  :					Optional[Any]       ,						lowerCAmelCase__  :					List[str]=3_2000       ,						lowerCAmelCase__  :					Union[str, Any]=768       ,						lowerCAmelCase__  :					Optional[Any]=12       ,						lowerCAmelCase__  :					Tuple=3072       ,						lowerCAmelCase__  :					Any="gelu_new"       ,						lowerCAmelCase__  :					Union[str, Any]=0.1       ,						lowerCAmelCase__  :					Optional[Any]=512       ,						lowerCAmelCase__  :					int=4       ,						lowerCAmelCase__  :					List[Any]=0.02       ,						lowerCAmelCase__  :					Union[str, Any]=1E-12       ,						lowerCAmelCase__  :					Optional[int]=False       ,						lowerCAmelCase__  :					Any=512       ,						lowerCAmelCase__  :					Optional[int]=3       ,						lowerCAmelCase__  :					int=1       ,						lowerCAmelCase__  :					List[Any]=2       ,						**lowerCAmelCase__  :					Optional[int]       ,						):
									super().__init__(pad_token_id=lowerCAmelCase__       ,						bos_token_id=lowerCAmelCase__       ,						eos_token_id=lowerCAmelCase__       ,						**lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:			str  		=	vocab_size
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	max_position_embeddings
									SCREAMING_SNAKE_CASE_:			Tuple  		=	hidden_size
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	num_hidden_layers
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	intermediate_size
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	hidden_act
									SCREAMING_SNAKE_CASE_:			Any  		=	hidden_dropout_prob
									SCREAMING_SNAKE_CASE_:			int  		=	initializer_range
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	type_vocab_size
									SCREAMING_SNAKE_CASE_:			int  		=	layer_norm_eps
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	use_tpu_fourier_optimizations
									SCREAMING_SNAKE_CASE_:			int  		=	tpu_short_seq_length






