


"""simple docstring"""







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 					lowercase      (    A_  ,       A_	)->				str | None:
  '''simple docstring'''







  a						:		str											=      ""
  a						:		int
  a						:		int
  a						:		int

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

  return decoded


def 					lowercase      (    A_	)->				list[str]:
  '''simple docstring'''







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


def 					lowercase      (    A_  ,       A_	)->				list[str]:
  '''simple docstring'''







  return [possible for possible in possibles if common_word in possible.lower()]


def 					lowercase      (    A_ = "p059_cipher.txt"	)->				int:
  '''simple docstring'''







  a						:		list[int]
  a						:		list[str]
  a						:		str
  a						:		str
  a						:		str											=      Path(A_	).parent.joinpath(A_	).read_text(encoding="utf-8"	)

  a						:		Dict											=      [int(A_	) for number in data.strip().split(","	)]

  a						:		Optional[int]											=      filter_valid_chars(A_	)
  for common_word in COMMON_WORDS:
    a						:		int											=      filter_common_word(A_  ,       A_	)
    if len(A_	) == 1:
      break

  a						:		Optional[int]											=      possibles[0]
  return sum(ord(A_	) for char in decoded_text	)


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










"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


__lowercase    =				logging.get_logger(__name__)






class 						_A  (  _a  ):







    """simple docstring"""




    def __init__( self    :   List[Any]    ,			*__UpperCAmelCase    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      warnings.warn(
          "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use DPTImageProcessor instead."    ,			__UpperCAmelCase    ,			)
      super().__init__(*__UpperCAmelCase    ,			**__UpperCAmelCase)






