





from __future__ import annotations

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

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

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


def 							SCREAMING_SNAKE_CASE__  (      __a				,	__a				):
	snake_case_						:     str     =		""
	snake_case_						:     int
	snake_case_						:     int
	snake_case_						:     int

	for keychar, cipherchar in zip(cycle(__a				)				,	__a				):
		snake_case_						:     List[str]     =		cipherchar ^ keychar
		if decodedchar not in VALID_INTS:
			return None
		decoded += chr(__a				)

	return decoded


def 							SCREAMING_SNAKE_CASE__  (      __a				):
	snake_case_						:     list[str]     =		[]
	for key in product(__a				,	repeat=3				):
		snake_case_						:     Optional[int]     =		try_key(__a				,	__a				)
		if encoded is not None:
			possibles.append(__a				)
	return possibles


def 							SCREAMING_SNAKE_CASE__  (      __a				,	__a				):
	return [possible for possible in possibles if common_word in possible.lower()]


def 							SCREAMING_SNAKE_CASE__  (      __a = "p059_cipher.txt"				):
	snake_case_						:     list[int]
	snake_case_						:     list[str]
	snake_case_						:     str
	snake_case_						:     str
	snake_case_						:     str     =		Path(__a				).parent.joinpath(__a				).read_text(encoding='utf-8'				)

	snake_case_						:     List[str]     =		[int(__a				) for number in data.strip().split(','				)]

	snake_case_						:     List[Any]     =		filter_valid_chars(__a				)
	for common_word in COMMON_WORDS:
		snake_case_						:     Union[str, Any]     =		filter_common_word(__a				,	__a				)
		if len(__a				) == 1:
			break

	snake_case_						:     int     =		possibles[0]
	return sum(ord(__a				) for char in decoded_text				)


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









import warnings

from ..trainer import Trainer
from ..utils import logging


_SCREAMING_SNAKE_CASE 		=						logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE_  (   snake_case_   ):






						def __init__( self : Any						,				_A : str=None						,				**_A : Union[str, Any]		)							->      Any:







							"""simple docstring"""


							warnings.warn(
							    '`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '
							    'instead.'						,				_A						,				)
							super().__init__(args=_A						,				**_A		)

