


import os
from string import ascii_letters

__SCREAMING_SNAKE_CASE	:							List[str]           =  ascii_letters + ''' \t\n'''

def 		snake_case_   (				):






				'''simple docstring'''






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


__SCREAMING_SNAKE_CASE	:							Optional[int]           =  load_dictionary()

def 		snake_case_   (				lowercase__     :    str     ):






				'''simple docstring'''






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

def 		snake_case_   (				lowercase__     :    str     ):






				'''simple docstring'''






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

def 		snake_case_   (				lowercase__     :    str       ,     lowercase__     :    int = 20       ,     lowercase__     :    int = 85     ):






				'''simple docstring'''






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


if __name__ == "__main__":
		import doctest

		doctest.testmod()





__SCREAMING_SNAKE_CASE	:							Optional[Any]           =  '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

__SCREAMING_SNAKE_CASE	:							Optional[int]           =  [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}

