


'''simple docstring'''




from __future__ import annotations

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

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

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





def 	a_					( lowerCamelCase	:     list[int]	, lowerCamelCase	:     tuple[int, ...]				):
   lowerCAmelCase     =			""
   lowerCAmelCase     =			42
   lowerCAmelCase     =			42
   lowerCAmelCase     =			42

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

   return decoded





def 	a_					( lowerCamelCase	:     list[int]				):
   lowerCAmelCase     =			[]
   for key in product(_UpperCAmelCase	, repeat=3				):
      lowerCAmelCase     =			try_key(_UpperCAmelCase	, _UpperCAmelCase				)
      if encoded is not None:
         possibles.append(_UpperCAmelCase				)
   return possibles





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





def 	a_					( lowerCamelCase	:     str = "p059_cipher.txt"				):
   lowerCAmelCase     =			42
   lowerCAmelCase     =			42
   lowerCAmelCase     =			42
   lowerCAmelCase     =			42
   lowerCAmelCase     =			Path(_UpperCAmelCase				).parent.joinpath(_UpperCAmelCase				).read_text(encoding='utf-8'				)

   lowerCAmelCase     =			[int(_UpperCAmelCase				) for number in data.strip().split(','				)]

   lowerCAmelCase     =			filter_valid_chars(_UpperCAmelCase				)
   for common_word in COMMON_WORDS:
      lowerCAmelCase     =			filter_common_word(_UpperCAmelCase	, _UpperCAmelCase				)
      if len(_UpperCAmelCase				) == 1:
         break

   lowerCAmelCase     =			possibles[0]
   return sum(ord(_UpperCAmelCase				) for char in decoded_text				)


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










import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
				import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin

@require_torch
class 		UpperCAmelCase__			(			unittest.TestCase						,__UpperCamelCase   ):




			'''simple docstring'''






			def  snake_case__     (   self							: List[Any] ):
					'''simple docstring'''





					__UpperCAmelCase    :     Tuple													=	load_tool('''text-to-speech''' )
					self.tool.setup()




			def  snake_case__     (   self							: Union[str, Any] ):
					'''simple docstring'''





					torch.manual_seed(0 )
					__UpperCAmelCase    :     List[Any]													=	self.tool('''hey''' )
					__UpperCAmelCase    :     Union[str, Any]													=	result.to_raw()
					self.assertTrue(
					    torch.allclose(
					        resulting_tensor[:3]       ,       torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5] )       ,       ) )




			def  snake_case__     (   self							: Optional[Any] ):
					'''simple docstring'''





					torch.manual_seed(0 )
					__UpperCAmelCase    :     Optional[int]													=	self.tool('''hey''' )
					__UpperCAmelCase    :     List[str]													=	result.to_raw()
					self.assertTrue(
					    torch.allclose(
					        resulting_tensor[:3]       ,       torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5] )       ,       ) )





