



'''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),
      ]			)










'''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!'
 )





