



'''simple docstring'''




from __future__ import annotations

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

UpperCamelCase__ :			str												=				(
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
UpperCamelCase__ :			list[int]												=				[ord(letter) for letter in string.ascii_lowercase]
UpperCamelCase__ :			set[int]												=				{ord(char) for char in VALID_CHARS}

UpperCamelCase__ :			list[str]												=				["the", "be", "to", "of", "and", "in", "that", "have"]


def        lowerCAmelCase_     (			_lowerCamelCase:     list[int] ,   _lowerCamelCase:     tuple[int, ...]      ):
		__SCREAMING_SNAKE_CASE :	str					 =	""
		__SCREAMING_SNAKE_CASE :	int
		__SCREAMING_SNAKE_CASE :	int
		__SCREAMING_SNAKE_CASE :	int

		for keychar, cipherchar in zip(cycle(_lowerCamelCase      ) ,   _lowerCamelCase      ):
				__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	cipherchar ^ keychar
				if decodedchar not in VALID_INTS:
						return None
				decoded += chr(_lowerCamelCase      )

		return decoded


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


def        lowerCAmelCase_     (			_lowerCamelCase:     list[str] ,   _lowerCamelCase:     str      ):
		return [possible for possible in possibles if common_word in possible.lower()]


def        lowerCAmelCase_     (			_lowerCamelCase:     str = "p059_cipher.txt"      ):
		__SCREAMING_SNAKE_CASE :	list[int]
		__SCREAMING_SNAKE_CASE :	list[str]
		__SCREAMING_SNAKE_CASE :	str
		__SCREAMING_SNAKE_CASE :	str
		__SCREAMING_SNAKE_CASE :	str					 =	Path(_lowerCamelCase      ).parent.joinpath(_lowerCamelCase      ).read_text(encoding="""utf-8"""      )

		__SCREAMING_SNAKE_CASE :	List[Any]					 =	[int(_lowerCamelCase      ) for number in data.strip().split(""","""      )]

		__SCREAMING_SNAKE_CASE :	Tuple					 =	filter_valid_chars(_lowerCamelCase      )
		for common_word in COMMON_WORDS:
				__SCREAMING_SNAKE_CASE :	Dict					 =	filter_common_word(_lowerCamelCase ,   _lowerCamelCase      )
				if len(_lowerCamelCase      ) == 1:
						break

		__SCREAMING_SNAKE_CASE :	str					 =	possibles[0]
		return sum(ord(_lowerCamelCase      ) for char in decoded_text      )


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




'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


UpperCamelCase__ :			List[str]												=				logging.get_logger(__name__)






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			def __init__(							self  :				Union[str, Any]							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				Any		):





					"""simple docstring"""






					warnings.warn(
					    """The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
					    """ use DeiTImageProcessor instead."""							,  lowerCAmelCase__							,  )
					super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__		)