


'''simple docstring'''



from __future__ import annotations

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

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

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



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[int] ,       UpperCAmelCase_       :							tuple[int, ...]				)	->						str | None:
     __lowerCamelCase  :      str														=						""
     __lowerCamelCase  :      int
     __lowerCamelCase  :      int
     __lowerCamelCase  :      int

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

     return decoded



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[int]				)	->						list[str]:
     __lowerCamelCase  :      list[str]														=						[]
     for key in product(UpperCAmelCase_ ,       repeat=3				):
          __lowerCamelCase  :      int														=						try_key(UpperCAmelCase_ ,       UpperCAmelCase_				)
          if encoded is not None:
               possibles.append(UpperCAmelCase_				)
     return possibles



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list[str] ,       UpperCAmelCase_       :							str				)	->						list[str]:
     return [possible for possible in possibles if common_word in possible.lower()]



def      UpperCAmelCase__   (      UpperCAmelCase_       :							str = "p059_cipher.txt"				)	->						int:
     __lowerCamelCase  :      list[int]
     __lowerCamelCase  :      list[str]
     __lowerCamelCase  :      str
     __lowerCamelCase  :      str
     __lowerCamelCase  :      str														=						Path(UpperCAmelCase_				).parent.joinpath(UpperCAmelCase_				).read_text(encoding='utf-8'				)

     __lowerCamelCase  :      Tuple														=						[int(UpperCAmelCase_				) for number in data.strip().split(','				)]

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

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


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










'''simple docstring'''



from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

A__						:   Dict				=    [
    """python""",
    """tqdm""",
    """regex""",
    """requests""",
    """packaging""",
    """filelock""",
    """numpy""",
    """tokenizers""",
    """huggingface-hub""",
    """safetensors""",
    """accelerate""",
    """pyyaml""",
]

for pkg in pkgs_to_check_at_runtime:
      if pkg in deps:
            if pkg == "tokenizers":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_tokenizers_available

                  if not is_tokenizers_available():
                        continue  # not required, check version only if installed
            elif pkg == "accelerate":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_accelerate_available

                  # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
                  # Transformers with PyTorch
                  if not is_accelerate_available():
                        continue  # not required, check version only if installed

            require_version_core(deps[pkg])
      else:
            raise ValueError(f'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')



def      UpperCAmelCase__   (      UpperCAmelCase_       :							List[Any] ,       UpperCAmelCase_       :							List[Any]=None				)	->						List[Any]:
     require_version(deps[pkg] ,       UpperCAmelCase_				)






