





import os
import sys
import time

from . import transposition_cipher as trans_cipher

def 		_SCREAMING_SNAKE_CASE ():
 lowerCAmelCase													=   'Prehistoric Men.txt'
 lowerCAmelCase													=   'Output.txt'
 lowerCAmelCase													=   int(input('Enter key: ' ) )
 lowerCAmelCase													=   input('Encrypt/Decrypt [e/d]: ' )

 if not os.path.exists(_UpperCAmelCase ):
  print(F'File {input_file} does not exist. Quitting...' )
  sys.exit()
 if os.path.exists(_UpperCAmelCase ):
  print(F'Overwrite {output_file}? [y/n]' )
  lowerCAmelCase													=   input('> ' )
  if not response.lower().startswith('y' ):
   sys.exit()

 lowerCAmelCase													=   time.time()
 if mode.lower().startswith('e' ):
  with open(_UpperCAmelCase ) as f:
   lowerCAmelCase													=   f.read()
  lowerCAmelCase													=   trans_cipher.encrypt_message(_UpperCAmelCase     ,    _UpperCAmelCase )
 elif mode.lower().startswith('d' ):
  with open(_UpperCAmelCase ) as f:
   lowerCAmelCase													=   f.read()
  lowerCAmelCase													=   trans_cipher.decrypt_message(_UpperCAmelCase     ,    _UpperCAmelCase )

 with open(_UpperCAmelCase     ,    'w' ) as output_obj:
  output_obj.write(_UpperCAmelCase )

 lowerCAmelCase													=   round(time.time() - start_time     ,    2 )
 print(('Done (', total_time, 'seconds )') )


if __name__ == "__main__":
       main()












"""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





