

import os
from string import ascii_letters

UpperCAmelCase__	:       Any			      =      ascii_letters + """ \t\n"""






def    __lowercase (       )       ->  dict[str, None]:
      SCREAMING_SNAKE_CASE	: Dict					       =				os.path.split(os.path.realpath(_A     )     )
      SCREAMING_SNAKE_CASE	: dict[str, None]					       =				{}
      with open(path[0] + """/dictionary.txt"""     ) as dictionary_file:
            for word in dictionary_file.read().split("""\n"""     ):
                  SCREAMING_SNAKE_CASE	: Optional[Any]					       =				None
      return english_words


UpperCAmelCase__	:       int			      =      load_dictionary()






def    __lowercase (       _A     )       ->  float:
      SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				message.upper()
      SCREAMING_SNAKE_CASE	: List[Any]					       =				remove_non_letters(_A     )
      SCREAMING_SNAKE_CASE	: Dict					       =				message.split()
      SCREAMING_SNAKE_CASE	: Any					       =				len([word for word in possible_words if word in ENGLISH_WORDS]     )
      return float(_A     ) / len(_A     )






def    __lowercase (       _A     )       ->  str:
      return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE     )






def    __lowercase (       _A  ,      _A = 20  ,      _A = 85     )       ->  bool:
      SCREAMING_SNAKE_CASE	: Optional[int]					       =				get_english_count(_A     ) * 100 >= word_percentage
      SCREAMING_SNAKE_CASE	: Optional[int]					       =				len(remove_non_letters(_A     )     )
      SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				(float(_A     ) / len(_A     )) * 100
      SCREAMING_SNAKE_CASE	: List[str]					       =				message_letters_percentage >= letter_percentage
      return words_match and letters_match


if __name__ == "__main__":
  import doctest

  doctest.testmod()







import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase__	:       Dict			      =      [(1,)]






def    __lowercase (       )       ->  Tuple:
      SCREAMING_SNAKE_CASE	: Optional[Any]					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"






def    __lowercase (       )       ->  Optional[Any]:
      SCREAMING_SNAKE_CASE	: Dict					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"







@require_torch
class     a__    (				unittest.TestCase    ):







  """simple docstring"""




  @slow
  @require_torch_gpu
  def 	_lowercase (     self      :	Any						)   ->Optional[Any]:
        """simple docstring"""







        check_slow_torch_cuda()


  @require_torch_gpu
  @slow
  def 	_lowercase (     self      :	Optional[Any]						)   ->Any:
        """simple docstring"""







        check_slow_torch_cuda()




  @parameterized.expand(UpperCAmelCase__						)
  @slow
  def 	_lowercase (     self      :	Optional[int]			,			UpperCAmelCase__      :	Dict=None						)   ->Optional[Any]:
        """simple docstring"""







        check_slow()






@slow
@require_torch_gpu
def    __lowercase (       )       ->  Optional[int]:
      check_slow_torch_cuda()






@require_torch_gpu
@slow
def    __lowercase (       )       ->  int:
      check_slow_torch_cuda()






@slow
@pytest.mark.parametrize("""param"""  ,      [1]     )
def    __lowercase (       _A     )       ->  Optional[int]:
      check_slow()







@pytest.mark.parametrize("""param"""  ,      [1]     )
@slow
def    __lowercase (       _A     )       ->  str:
      check_slow()




