
from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

_lowercase    =		(
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
_lowercase    =		[ord(letter) for letter in string.ascii_lowercase]
_lowercase    =		{ord(char) for char in VALID_CHARS}

_lowercase    =		["""the""", """be""", """to""", """of""", """and""", """in""", """that""", """have"""]


def A				(__lowerCamelCase				:Union[str, Any]			,     __lowerCamelCase				:List[Any]		):
						_lowerCAmelCase  						=			""""""
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			42

						for keychar, cipherchar in zip(cycle(__lowerCamelCase		)			,     __lowerCamelCase		):
												_lowerCAmelCase  						=			cipherchar ^ keychar
												if decodedchar not in VALID_INTS:
																		return None
												decoded += chr(__lowerCamelCase		)

						return decoded


def A				(__lowerCamelCase				:int		):
						_lowerCAmelCase  						=			[]
						for key in product(__lowerCamelCase			,     repeat=3		):
												_lowerCAmelCase  						=			try_key(__lowerCamelCase			,     __lowerCamelCase		)
												if encoded is not None:
																		possibles.append(__lowerCamelCase		)
						return possibles


def A				(__lowerCamelCase				:str			,     __lowerCamelCase				:Optional[int]		):
						return [possible for possible in possibles if common_word in possible.lower()]


def A				(__lowerCamelCase				:Tuple = "p059_cipher.txt"		):
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			42
						_lowerCAmelCase  						=			Path(__lowerCamelCase		).parent.joinpath(__lowerCamelCase		).read_text(encoding="""utf-8"""		)

						_lowerCAmelCase  						=			[int(__lowerCamelCase		) for number in data.strip().split(""","""		)]

						_lowerCAmelCase  						=			filter_valid_chars(__lowerCamelCase		)
						for common_word in COMMON_WORDS:
												_lowerCAmelCase  						=			filter_common_word(__lowerCamelCase			,     __lowerCamelCase		)
												if len(__lowerCamelCase		) == 1:
																		break

						_lowerCAmelCase  						=			possibles[0]
						return sum(ord(__lowerCamelCase		) for char in decoded_text		)


if __name__ == "__main__":
						print(F"""{solution() = }""")


'''simple docstring'''



from ...configuration_utils import PretrainedConfig




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				Tuple									=       '''bert-generation'''




						def __init__( self   ,       _lowercase=50_358   ,       _lowercase=1_024   ,       _lowercase=24   ,       _lowercase=16   ,       _lowercase=4_096   ,       _lowercase="gelu"   ,       _lowercase=0.1   ,       _lowercase=0.1   ,       _lowercase=512   ,       _lowercase=0.02   ,       _lowercase=1e-12   ,       _lowercase=0   ,       _lowercase=2   ,       _lowercase=1   ,       _lowercase="absolute"   ,       _lowercase=True   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(pad_token_id=_lowercase   ,       bos_token_id=_lowercase   ,       eos_token_id=_lowercase   ,       **_lowercase				)

												_lowerCAmelCase  						=			vocab_size
												_lowerCAmelCase  						=			hidden_size
												_lowerCAmelCase  						=			num_hidden_layers
												_lowerCAmelCase  						=			num_attention_heads
												_lowerCAmelCase  						=			hidden_act
												_lowerCAmelCase  						=			intermediate_size
												_lowerCAmelCase  						=			hidden_dropout_prob
												_lowerCAmelCase  						=			attention_probs_dropout_prob
												_lowerCAmelCase  						=			max_position_embeddings
												_lowerCAmelCase  						=			initializer_range
												_lowerCAmelCase  						=			layer_norm_eps
												_lowerCAmelCase  						=			position_embedding_type
												_lowerCAmelCase  						=			use_cache
