





import os
from string import ascii_letters

__UpperCamelCase    :	Tuple						=     ascii_letters + ''' \t\n'''

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


__UpperCamelCase    :	List[str]						=     load_dictionary()

def 		_SCREAMING_SNAKE_CASE (_UpperCAmelCase				:						str ):
 lowerCAmelCase													=   message.upper()
 lowerCAmelCase													=   remove_non_letters(_UpperCAmelCase )
 lowerCAmelCase													=   message.split()
 lowerCAmelCase													=   len([word for word in possible_words if word in ENGLISH_WORDS] )
 return float(_UpperCAmelCase ) / len(_UpperCAmelCase )

def 		_SCREAMING_SNAKE_CASE (_UpperCAmelCase				:						str ):
 return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE )

def 		_SCREAMING_SNAKE_CASE (_UpperCAmelCase				:						str     ,    _UpperCAmelCase				:						int = 20     ,    _UpperCAmelCase				:						int = 85 ):
 lowerCAmelCase													=   get_english_count(_UpperCAmelCase ) * 100 >= word_percentage
 lowerCAmelCase													=   len(remove_non_letters(_UpperCAmelCase ) )
 lowerCAmelCase													=   (float(_UpperCAmelCase ) / len(_UpperCAmelCase )) * 100
 lowerCAmelCase													=   message_letters_percentage >= letter_percentage
 return words_match and letters_match


if __name__ == "__main__":
       import doctest

       doctest.testmod()












"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase    :	Dict						=     logging.get_logger(__name__)

__UpperCamelCase    :	List[Any]						=     {
    '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json''',
}







class 			a       (      a__     ):
 snake_case__								=					'''mpnet'''



 def __init__(    self							,					_snake_case=3_05_27							,					_snake_case=7_68							,					_snake_case=12							,					_snake_case=12							,					_snake_case=30_72							,					_snake_case="gelu"							,					_snake_case=0.1							,					_snake_case=0.1							,					_snake_case=5_12							,					_snake_case=0.02							,					_snake_case=1E-12							,					_snake_case=32							,					_snake_case=1							,					_snake_case=0							,					_snake_case=2							,					**_snake_case							,					):







  """simple docstring"""






  super().__init__(pad_token_id=_snake_case							,					bos_token_id=_snake_case							,					eos_token_id=_snake_case							,					**_snake_case    )

  lowerCAmelCase													=   vocab_size
  lowerCAmelCase													=   hidden_size
  lowerCAmelCase													=   num_hidden_layers
  lowerCAmelCase													=   num_attention_heads
  lowerCAmelCase													=   hidden_act
  lowerCAmelCase													=   intermediate_size
  lowerCAmelCase													=   hidden_dropout_prob
  lowerCAmelCase													=   attention_probs_dropout_prob
  lowerCAmelCase													=   max_position_embeddings
  lowerCAmelCase													=   initializer_range
  lowerCAmelCase													=   layer_norm_eps
  lowerCAmelCase													=   relative_attention_num_buckets





