






'''simple docstring'''



from __future__ import annotations

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

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

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


def 				lowercase_					(     __A			:							list[int]       ,   __A			:							tuple[int, ...]      )							->   str | None:



 """simple docstring"""




 lowercase       : str						=""
 lowercase       : int
 lowercase       : int
 lowercase       : int

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

 return decoded


def 				lowercase_					(     __A			:							list[int]      )							->   list[str]:



 """simple docstring"""




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


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



 """simple docstring"""




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


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



 """simple docstring"""




 lowercase       : list[int]
 lowercase       : list[str]
 lowercase       : str
 lowercase       : str
 lowercase       : str						=Path(__A      ).parent.joinpath(__A      ).read_text(encoding='''utf-8'''      )

 lowercase       : List[Any]						=[int(__A      ) for number in data.strip().split(''','''      )]

 lowercase       : Tuple						=filter_valid_chars(__A      )
 for common_word in COMMON_WORDS:
  lowercase       : Optional[Any]						=filter_common_word(__A       ,   __A      )
  if len(__A      ) == 1:
   break

 lowercase       : List[Any]						=possibles[0]
 return sum(ord(__A      ) for char in decoded_text      )


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











'''simple docstring'''



from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      def 					A__   (			self      :		Optional[int]		)	->	List[str]:


       '''simple docstring'''

       return [
           {"col_1": 3, "col_2": "a"},
           {"col_1": 2, "col_2": "b"},
           {"col_1": 1, "col_2": "c"},
           {"col_1": 0, "col_2": "d"},
       ]






      def 					A__   (			self      :		Any		)	->	List[str]:


       '''simple docstring'''

       lowercase       : List[str]						={'''col_1''': [3, 2, 1, 0], '''col_2''': ['''a''', '''b''', '''c''', '''d''']}
       return Dataset.from_dict(UpperCAmelCase		)






      def 					A__   (			self      :		Any		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Tuple						=self._create_example_records()
       lowercase       : Tuple						=Dataset.from_list(UpperCAmelCase		)
       self.assertListEqual(dset.column_names  ,   ['''col_1''', '''col_2''']		)
       for i, r in enumerate(UpperCAmelCase		):
        self.assertDictEqual(UpperCAmelCase  ,   example_records[i]		)






      def 					A__   (			self      :		Dict		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Optional[Any]						=self._create_example_records()
       lowercase       : Union[str, Any]						=Dataset.from_list(UpperCAmelCase		)
       lowercase       : Tuple						=Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}		)
       self.assertEqual(dset.info  ,   dset_from_dict.info		)






      def 					A__   (			self      :		str		)	->	List[Any]:  # checks what happens with missing columns


       '''simple docstring'''

       lowercase       : Tuple						=[{'''col_1''': 1}, {'''col_2''': '''x'''}]
       lowercase       : Optional[Any]						=Dataset.from_list(UpperCAmelCase		)
       self.assertDictEqual(dset[0]  ,   {'''col_1''': 1}		)
       self.assertDictEqual(dset[1]  ,   {'''col_1''': None}		)  # NB: first record is used for columns






      def 					A__   (			self      :		List[Any]		)	->	int:  # checks if the type can be inferred from the second record


       '''simple docstring'''

       lowercase       : List[Any]						=[{'''col_1''': []}, {'''col_1''': [1, 2]}]
       lowercase       : Union[str, Any]						=Dataset.from_list(UpperCAmelCase		)
       self.assertEqual(dset.info.features['''col_1''']  ,   Sequence(Value('''int64'''		)		)		)






      def 					A__   (			self      :		int		)	->	str:


       '''simple docstring'''

       lowercase       : List[str]						=Dataset.from_list([]		)
       self.assertEqual(len(UpperCAmelCase		)  ,   0		)
       self.assertListEqual(dset.column_names  ,   []		)



