

import math







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			Dict  		=	input("Enter message: "   )
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	int(input(f"Enter key [2-{len(_UpperCAmelCase   ) - 1}]: "   )   )
						SCREAMING_SNAKE_CASE_:			Dict  		=	input("Encryption/Decryption [e/d]: "   )

						if mode.lower().startswith("e"   ):
												SCREAMING_SNAKE_CASE_:			Optional[int]  		=	encrypt_message(_UpperCAmelCase    ,     _UpperCAmelCase   )
						elif mode.lower().startswith("d"   ):
												SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	decrypt_message(_UpperCAmelCase    ,     _UpperCAmelCase   )

						# Append pipe symbol (vertical bar) to identify spaces at the end.
						print(f"Output:\n{text + '|'}"   )







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	[""] * key
						for col in range(_UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			str  		=	col
												while pointer < len(_UpperCAmelCase   ):
																		cipher_text[col] += message[pointer]
																		pointer += key
						return "".join(_UpperCAmelCase   )







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	math.ceil(len(_UpperCAmelCase   ) / key   )
						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	key
						SCREAMING_SNAKE_CASE_:			Dict  		=	(num_cols * num_rows) - len(_UpperCAmelCase   )
						SCREAMING_SNAKE_CASE_:			List[str]  		=	[""] * num_cols
						SCREAMING_SNAKE_CASE_:			int  		=	0
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	0

						for symbol in message:
												plain_text[col] += symbol
												col += 1

												if (
												    (col == num_cols)
												    or (col == num_cols - 1)
												    and (row >= num_rows - num_shaded_boxes)
												):
																		SCREAMING_SNAKE_CASE_:			List[str]  		=	0
																		row += 1

						return "".join(_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






