code: 
  
  
  
  '''simple docstring'''
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  a__						:			Optional[int]										=			logging.get_logger(__name__)
  
  a__						:			List[Any]										=			{
      'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
      'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
      'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
      'google/electra-small-discriminator': (
          'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
      ),
      'google/electra-base-discriminator': (
          'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
      ),
      'google/electra-large-discriminator': (
          'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
      ),
  }
  class        UpperCAmelCase__  (    UpperCAmelCase_):
   __SCREAMING_SNAKE_CASE					      =				'''electra'''
  
  
  
   def __init__(  self		,	lowercase=3_0_5_2_2		,	lowercase=1_2_8		,	lowercase=2_5_6		,	lowercase=1_2		,	lowercase=4		,	lowercase=1_0_2_4		,	lowercase="gelu"		,	lowercase=0.1		,	lowercase=0.1		,	lowercase=5_1_2		,	lowercase=2		,	lowercase=0.02		,	lowercase=1E-12		,	lowercase="first"		,	lowercase=True		,	lowercase="gelu"		,	lowercase=0.1		,	lowercase=0		,	lowercase="absolute"		,	lowercase=True		,	lowercase=None		,	**lowercase		,	)  ->							str:
    super().__init__(pad_token_id=lowercase		,	**lowercase			)
  
    __UpperCamelCase				      =  vocab_size
    __UpperCamelCase				      =  embedding_size
    __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				      =  max_position_embeddings
    __UpperCamelCase				      =  type_vocab_size
    __UpperCamelCase				      =  initializer_range
    __UpperCamelCase				      =  layer_norm_eps
  
    __UpperCamelCase				      =  summary_type
    __UpperCamelCase				      =  summary_use_proj
    __UpperCamelCase				      =  summary_activation
    __UpperCamelCase				      =  summary_last_dropout
    __UpperCamelCase				      =  position_embedding_type
    __UpperCamelCase				      =  use_cache
    __UpperCamelCase				      =  classifier_dropout
  
  
  class        UpperCAmelCase__  (    UpperCAmelCase_):
  
  
  
   @property
   def    __lowerCamelCase				(  self			)  ->							Mapping[str, Mapping[int, str]]:
    if self.task == "multiple-choice":
     __UpperCamelCase				      =  {0: """batch""", 1: """choice""", 2: """sequence"""}
    else:
     __UpperCamelCase				      =  {0: """batch""", 1: """sequence"""}
    return OrderedDict(
        [
            ("""input_ids""", dynamic_axis),
            ("""attention_mask""", dynamic_axis),
            ("""token_type_ids""", dynamic_axis),
        ]			)
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  a__						:			str										=			[chr(i) for i in range(3_2, 1_2_6)]
  a__						:			List[Any]										=			list(range(len(alphabets)))
  a__						:			Union[str, Any]										=			list(range(len(alphabets)))
  a__						:			Dict										=			list(range(len(alphabets)))
  a__						:			Union[str, Any]										=			list(reversed(range(len(alphabets))))
  a__						:			List[str]										=			[]
  a__						:			int										=			0
  
  
  
  
  
  
  
  def _lowercase   (  ):
  
  
  
   '''simple docstring'''
  
  
  
   global gear_one_pos
   global gear_two_pos
   global gear_three_pos
   __UpperCamelCase				      =  gear_one[0]
   gear_one.append(__A       )
   del gear_one[0]
   gear_one_pos += 1
   if gear_one_pos % int(len(__A       )       ) == 0:
    __UpperCamelCase				      =  gear_two[0]
    gear_two.append(__A       )
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(__A       )       ) == 0:
     __UpperCamelCase				      =  gear_three[0]
     gear_three.append(__A       )
     del gear_three[0]
     gear_three_pos += 1
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  alphabets.index(__A       )
   __UpperCamelCase				      =  gear_one[target]
   __UpperCamelCase				      =  gear_two[target]
   __UpperCamelCase				      =  gear_three[target]
   __UpperCamelCase				      =  reflector[target]
   __UpperCamelCase				      =  gear_three.index(__A       )
   __UpperCamelCase				      =  gear_two.index(__A       )
   __UpperCamelCase				      =  gear_one.index(__A       )
   code.append(alphabets[target]       )
   rotator()
  
  
  if __name__ == "__main__":
   a__						:			Any										=			list(input('Type your message:\n'))
   while True:
    try:
     a__						:			List[Any]										=			int(input('Please set token:(must be only digits)\n'))
     break
    except Exception as error:
     print(error)
   for _ in range(token):
    rotator()
   for j in decode:
    engine(j)
   print('\n' + ''.join(code))
   print(
       f'''\nYour Token is {token} please write it down.\nIf you want to decode '''
       'this message again you should input same digits as token!'
   )
  
  
  
  
  
  