




from dataclasses import dataclass
from typing import Callable, Optional

import datasets

@dataclass
class 			_lowerCamelCase    (      datasets.BuilderConfig ):

      """simple docstring"""

      lowerCAmelCase__      :			Optional[Callable]     =       None
      lowerCAmelCase__      :			Optional[dict]     =       None
      lowerCAmelCase__      :			Optional[datasets.Features]     =       None







      def    snake_case						(  self       :			List[Any]					):
          assert self.generator is not None, "generator must be specified"

          if self.gen_kwargs is None:
              __UpperCamelCase			=    {}







class 			_lowerCamelCase    (      datasets.GeneratorBasedBuilder ):

      """simple docstring"""

      lowerCAmelCase__      :			int     =       GeneratorConfig







      def    snake_case						(  self       :			Optional[int]					):
          return datasets.DatasetInfo(features=self.config.features					)







      def    snake_case						(  self       :			Optional[int]			,							snake_case       :			Any					):
          return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,							gen_kwargs=self.config.gen_kwargs					)]







      def    snake_case						(  self       :			Optional[int]			,							**snake_case       :			Any					):
          for idx, ex in enumerate(self.config.generator(**snake_case					)					):
              yield idx, ex













import os
from string import ascii_letters

SCREAMING_SNAKE_CASE_		  =			ascii_letters + """ \t\n"""



def   __lowercase  ( )					->  dict[str, None]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		os.path.split(os.path.realpath(_SCREAMING_SNAKE_CASE      )      )
      SCREAMING_SNAKE_CASE						=		{}
      with open(path[0] + """/dictionary.txt"""      ) as dictionary_file:
            for word in dictionary_file.read().split("""\n"""      ):
                  SCREAMING_SNAKE_CASE						=		None
      return english_words


SCREAMING_SNAKE_CASE_		  =			load_dictionary()



def   __lowercase  ( _SCREAMING_SNAKE_CASE      )					->  float:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		message.upper()
      SCREAMING_SNAKE_CASE						=		remove_non_letters(_SCREAMING_SNAKE_CASE      )
      SCREAMING_SNAKE_CASE						=		message.split()
      SCREAMING_SNAKE_CASE						=		len([word for word in possible_words if word in ENGLISH_WORDS]      )
      return float(_SCREAMING_SNAKE_CASE      ) / len(_SCREAMING_SNAKE_CASE      )



def   __lowercase  ( _SCREAMING_SNAKE_CASE      )					->  str:


      '''simple docstring'''


      return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE      )



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE = 20					,		_SCREAMING_SNAKE_CASE = 85      )					->  bool:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		get_english_count(_SCREAMING_SNAKE_CASE      ) * 1_00 >= word_percentage
      SCREAMING_SNAKE_CASE						=		len(remove_non_letters(_SCREAMING_SNAKE_CASE      )      )
      SCREAMING_SNAKE_CASE						=		(float(_SCREAMING_SNAKE_CASE      ) / len(_SCREAMING_SNAKE_CASE      )) * 1_00
      SCREAMING_SNAKE_CASE						=		message_letters_percentage >= letter_percentage
      return words_match and letters_match


if __name__ == "__main__":
      import doctest

      doctest.testmod()


