





import os
import sys
import time

from . import transposition_cipher as trans_cipher
def     A__					(						)     ->     None:






   """simple docstring"""







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

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

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

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

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


if __name__ == "__main__":
   main()






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_											=  logging.get_logger(__name__)

UpperCAmelCase_											=  {
    "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/config.json",
    "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json",
    "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/config.json",
    "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class  __UpperCamelCase						(       A__						):
     __A  :     Tuple            =      """splinter"""





     def __init__(    self							,       _UpperCamelCase=30522							,       _UpperCamelCase=768							,       _UpperCamelCase=12							,       _UpperCamelCase=12							,       _UpperCamelCase=3072							,       _UpperCamelCase="gelu"							,       _UpperCamelCase=0.1							,       _UpperCamelCase=0.1							,       _UpperCamelCase=512							,       _UpperCamelCase=2							,       _UpperCamelCase=0.02							,       _UpperCamelCase=1e-12							,       _UpperCamelCase=True							,       _UpperCamelCase=0							,       _UpperCamelCase=104							,       **_UpperCamelCase							,       ):
        super().__init__(pad_token_id=_UpperCamelCase							,       **_UpperCamelCase				)

        _UpperCAmelCase											=      vocab_size
        _UpperCAmelCase											=      max_position_embeddings
        _UpperCAmelCase											=      hidden_size
        _UpperCAmelCase											=      num_hidden_layers
        _UpperCAmelCase											=      num_attention_heads
        _UpperCAmelCase											=      intermediate_size
        _UpperCAmelCase											=      hidden_act
        _UpperCAmelCase											=      hidden_dropout_prob
        _UpperCAmelCase											=      attention_probs_dropout_prob
        _UpperCAmelCase											=      initializer_range
        _UpperCAmelCase											=      type_vocab_size
        _UpperCAmelCase											=      layer_norm_eps
        _UpperCAmelCase											=      use_cache
        _UpperCAmelCase											=      question_token_id