

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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   list[int]     ,					SCREAMING_SNAKE_CASE_		:   tuple[int, ...]      ):



					'''simple docstring'''





					lowercase__   :       str				=	""
					lowercase__   :       int
					lowercase__   :       int
					lowercase__   :       int

					for keychar, cipherchar in zip(cycle(lowercase__      )     ,					lowercase__      ):
										lowercase__   :       Optional[int]				=	cipherchar ^ keychar
										if decodedchar not in VALID_INTS:
															return None
										decoded += chr(lowercase__      )

					return decoded

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   list[int]      ):



					'''simple docstring'''





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

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   list[str]     ,					SCREAMING_SNAKE_CASE_		:   str      ):



					'''simple docstring'''





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

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   str = "p059_cipher.txt"      ):



					'''simple docstring'''





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

					lowercase__   :       List[str]				=	[int(lowercase__      ) for number in data.strip().split(','      )]

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

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


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




import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Tuple														=					["""image_processor""", """tokenizer"""]
    __lowerCamelCase						:	int														=					"""ViltImageProcessor"""
    __lowerCamelCase						:	Union[str, Any]														=					("""BertTokenizer""", """BertTokenizerFast""")





    def __init__(				self						,       a=None						,       a=None						,       **a):
         lowercase__   :       Any				=	None
         if "feature_extractor" in kwargs:
              warnings.warn(
                  'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                  ' instead.'						,       a						,       )
              lowercase__   :       Union[str, Any]				=	kwargs.pop('feature_extractor')

         lowercase__   :       List[Any]				=	image_processor if image_processor is not None else feature_extractor
         if image_processor is None:
              raise ValueError('You need to specify an `image_processor`.')
         if tokenizer is None:
              raise ValueError('You need to specify a `tokenizer`.')

         super().__init__(a						,       a)
         lowercase__   :       str				=	self.image_processor





    def __call__(				self						,       a						,       a = None						,       a = True						,       a = False						,       a = None						,       a = None						,       a = 0						,       a = None						,       a = None						,       a = None						,       a = False						,       a = False						,       a = False						,       a = False						,       a = True						,       a = None						,       **a						,       ):
         lowercase__   :       Optional[Any]				=	self.tokenizer(
             text=a						,       add_special_tokens=a						,       padding=a						,       truncation=a						,       max_length=a						,       stride=a						,       pad_to_multiple_of=a						,       return_token_type_ids=a						,       return_attention_mask=a						,       return_overflowing_tokens=a						,       return_special_tokens_mask=a						,       return_offsets_mapping=a						,       return_length=a						,       verbose=a						,       return_tensors=a						,       **a						,       )
         # add pixel_values + pixel_mask
         lowercase__   :       str				=	self.image_processor(a						,       return_tensors=a)
         encoding.update(a)

         return encoding





    def 				snake_case_    (				self						,       *a						,       **a):
         return self.tokenizer.batch_decode(*a						,       **a)





    def 				snake_case_    (				self						,       *a						,       **a):
         return self.tokenizer.decode(*a						,       **a)





    @property
    def 				snake_case_    (				self):
         lowercase__   :       int				=	self.tokenizer.model_input_names
         lowercase__   :       List[str]				=	self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))





    @property
    def 				snake_case_    (				self):
         warnings.warn(
             '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'						,       a						,       )
         return self.image_processor_class





    @property
    def 				snake_case_    (				self):
         warnings.warn(
             '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'						,       a						,       )
         return self.image_processor

