





"""simple docstring"""


from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass



@dataclass
class      __SCREAMING_SNAKE_CASE    :







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:int
  SCREAMING_SNAKE_CASE__							:int





class      __SCREAMING_SNAKE_CASE    :







  '''simple docstring'''


  def __init__(		self   :       List[Any]					,   __a   :       int	)		->				Optional[Any]:
        _UpperCamelCase      :	list[list[Edge]]						=       [[] for _ in range(__a	)]
        _UpperCamelCase      :	Tuple						=       size

  def __getitem__(		self   :       int					,   __a   :       int	)		->				Iterator[Edge]:
        return iter(self._graph[vertex]	)

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       str	)		->				Optional[Any]:
        return self._size

  def    __SCREAMING_SNAKE_CASE				(		self   :       List[str]					,   __a   :       int					,   __a   :       int					,   __a   :       int	)		->				Dict:
        if weight not in (0, 1):
              raise ValueError("Edge weight must be either 0 or 1."	)

        if to_vertex < 0 or to_vertex >= self.size:
              raise ValueError("Vertex indexes must be in [0; size)."	)

        self._graph[from_vertex].append(Edge(__a					,   __a	)	)


  def    __SCREAMING_SNAKE_CASE				(		self   :       Tuple					,   __a   :       int					,   __a   :       int	)		->				int | None:
        _UpperCamelCase      :	Optional[Any]						=       deque([start_vertex]	)
        _UpperCamelCase      :	list[int | None]						=       [None] * self.size
        _UpperCamelCase      :	int						=       0

        while queue:
              _UpperCamelCase      :	List[Any]						=       queue.popleft()
              _UpperCamelCase      :	List[str]						=       distances[current_vertex]
              if current_distance is None:
                    continue

              for edge in self[current_vertex]:
                    _UpperCamelCase      :	List[Any]						=       current_distance + edge.weight
                    _UpperCamelCase      :	Dict						=       distances[edge.destination_vertex]
                    if (
                        isinstance(__a					,   __a	)
                        and new_distance >= dest_vertex_distance
                    ):
                          continue
                    _UpperCamelCase      :	List[str]						=       new_distance
                    if edge.weight == 0:
                          queue.appendleft(edge.destination_vertex	)
                    else:
                          queue.append(edge.destination_vertex	)

        if distances[finish_vertex] is None:
              raise ValueError("No path from start_vertex to finish_vertex."	)

        return distances[finish_vertex]


if __name__ == "__main__":
  import doctest

  doctest.testmod()







"""simple docstring"""


from __future__ import annotations

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

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

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




def 					lowercase__    (					lowercase_		,lowercase_			)					->		str | None:




      """simple docstring"""

      _UpperCamelCase      :	str						=       ""
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int

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

      return decoded




def 					lowercase__    (					lowercase_			)					->		list[str]:




      """simple docstring"""

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




def 					lowercase__    (					lowercase_		,lowercase_			)					->		list[str]:




      """simple docstring"""

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




def 					lowercase__    (					lowercase_ = "p059_cipher.txt"			)					->		int:




      """simple docstring"""

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

      _UpperCamelCase      :	Optional[Any]						=       [int(lowercase_			) for number in data.strip().split(","			)]

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

      _UpperCamelCase      :	Union[str, Any]						=       possibles[0]
      return sum(ord(lowercase_			) for char in decoded_text			)


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