

"""simple docstring"""



from __future__ import annotations

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

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

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





def  _snake_case     (    UpperCAmelCase_  :					list[int]					,   UpperCAmelCase_  :					tuple[int, ...]			):
     A__										=  """"""
     A__										=  42
     A__										=  42
     A__										=  42

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

     return decoded





def  _snake_case     (    UpperCAmelCase_  :					list[int]			):
     A__										=  []
     for key in product(UpperCAmelCase_					,   repeat=3			):
          A__										=  try_key(UpperCAmelCase_					,   UpperCAmelCase_			)
          if encoded is not None:
               possibles.append(UpperCAmelCase_			)
     return possibles





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





def  _snake_case     (    UpperCAmelCase_  :					str = "p059_cipher.txt"			):
     A__										=  42
     A__										=  42
     A__										=  42
     A__										=  42
     A__										=  Path(UpperCAmelCase_			).parent.joinpath(UpperCAmelCase_			).read_text(encoding="""utf-8"""			)

     A__										=  [int(UpperCAmelCase_			) for number in data.strip().split(""","""			)]

     A__										=  filter_valid_chars(UpperCAmelCase_			)
     for common_word in COMMON_WORDS:
          A__										=  filter_common_word(UpperCAmelCase_					,   UpperCAmelCase_			)
          if len(UpperCAmelCase_			) == 1:
               break

     A__										=  possibles[0]
     return sum(ord(UpperCAmelCase_			) for char in decoded_text			)


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









"""simple docstring"""



from __future__ import annotations



class 					a						:



    """simple docstring"""



    def __init__(     self: Any    ,						UpperCamelCase: str    ,						UpperCamelCase: str       ):






         """simple docstring"""


         A__			,				A__										=  text, pattern
         A__			,				A__										=  len(UpperCamelCase       ), len(UpperCamelCase       )

    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: str       ):






         """simple docstring"""


         for i in range(self.patLen - 1    ,						-1    ,						-1       ):
              if char == self.pattern[i]:
                   return i
         return -1

    def 				UpperCamelCase	(     self: str    ,						UpperCamelCase: int       ):






         """simple docstring"""


         for i in range(self.patLen - 1    ,						-1    ,						-1       ):
              if self.pattern[i] != self.text[current_pos + i]:
                   return current_pos + i
         return -1





    def 				UpperCamelCase	(     self: List[Any]       ):






         """simple docstring"""


         A__										=  []
         for i in range(self.textLen - self.patLen + 1       ):
              A__										=  self.mismatch_in_text(UpperCamelCase       )
              if mismatch_index == -1:
                   positions.append(UpperCamelCase       )
              else:
                   A__										=  self.match_in_pattern(self.text[mismatch_index]       )
                   A__										=  (
                       mismatch_index - match_index
                   )  # shifting index lgtm [py/multiple-definition]
         return positions

SCREAMING_SNAKE_CASE_					:	List[Any]							  =						'ABAABA'
SCREAMING_SNAKE_CASE_					:	List[Any]							  =						'AB'
SCREAMING_SNAKE_CASE_					:	Union[str, Any]							  =						BoyerMooreSearch(text, pattern)
SCREAMING_SNAKE_CASE_					:	int							  =						bms.bad_character_heuristic()

if len(positions) == 0:
 print('No match found')
else:
 print('Pattern found in following positions: ')
 print(positions)






