





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase    =	logging.get_logger(__name__)

_UpperCamelCase    =	{
    '''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 			_lowerCamelCase	(      lowerCAmelCase__      ):



      """simple docstring"""






      UpperCAmelCase_  : Optional[int]				      ="electra"







      def __init__(	self			,  UpperCAmelCase=30522			,  UpperCAmelCase=128			,  UpperCAmelCase=256			,  UpperCAmelCase=12			,  UpperCAmelCase=4			,  UpperCAmelCase=1024			,  UpperCAmelCase="gelu"			,  UpperCAmelCase=0.1			,  UpperCAmelCase=0.1			,  UpperCAmelCase=512			,  UpperCAmelCase=2			,  UpperCAmelCase=0.02			,  UpperCAmelCase=1E-12			,  UpperCAmelCase="first"			,  UpperCAmelCase=True			,  UpperCAmelCase="gelu"			,  UpperCAmelCase=0.1			,  UpperCAmelCase=0			,  UpperCAmelCase="absolute"			,  UpperCAmelCase=True			,  UpperCAmelCase=None			,  **UpperCAmelCase			,  )    ->				Tuple:






        '''simple docstring'''






        super().__init__(pad_token_id=_UpperCAmelCase			,  **_UpperCAmelCase				)

        __snake_case				:			int            =    vocab_size
        __snake_case				:			Union[str, Any]            =    embedding_size
        __snake_case				:			Tuple            =    hidden_size
        __snake_case				:			Any            =    num_hidden_layers
        __snake_case				:			List[str]            =    num_attention_heads
        __snake_case				:			Any            =    intermediate_size
        __snake_case				:			Optional[Any]            =    hidden_act
        __snake_case				:			Union[str, Any]            =    hidden_dropout_prob
        __snake_case				:			Tuple            =    attention_probs_dropout_prob
        __snake_case				:			Union[str, Any]            =    max_position_embeddings
        __snake_case				:			int            =    type_vocab_size
        __snake_case				:			Dict            =    initializer_range
        __snake_case				:			List[Any]            =    layer_norm_eps

        __snake_case				:			Optional[Any]            =    summary_type
        __snake_case				:			Union[str, Any]            =    summary_use_proj
        __snake_case				:			List[Any]            =    summary_activation
        __snake_case				:			List[Any]            =    summary_last_dropout
        __snake_case				:			Optional[Any]            =    position_embedding_type
        __snake_case				:			Union[str, Any]            =    use_cache
        __snake_case				:			int            =    classifier_dropout




class 			_lowerCamelCase	(      lowerCAmelCase__      ):



      """simple docstring"""






      @property
      def   UpperCAmelCase						(	self				)    ->				Mapping[str, Mapping[int, str]]:






        '''simple docstring'''






        if self.task == "multiple-choice":
          __snake_case				:			Any            =    {0: "batch", 1: "choice", 2: "sequence"}
        else:
          __snake_case				:			int            =    {0: "batch", 1: "sequence"}
        return OrderedDict(
            [
                ("input_ids", dynamic_axis),
                ("attention_mask", dynamic_axis),
                ("token_type_ids", dynamic_axis),
            ]				)








_UpperCamelCase    =	[chr(i) for i in range(32, 126)]
_UpperCamelCase    =	list(range(len(alphabets)))
_UpperCamelCase    =	list(range(len(alphabets)))
_UpperCamelCase    =	list(range(len(alphabets)))
_UpperCamelCase    =	list(reversed(range(len(alphabets))))
_UpperCamelCase    =	[]
_UpperCamelCase    =	_UpperCamelCase    =	_UpperCamelCase    =	0







def  lowerCAmelCase__(		)	->      int:
  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  __snake_case				:			int            =    gear_one[0]
  gear_one.append(lowercase			)
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(lowercase			)			) == 0:
    __snake_case				:			List[str]            =    gear_two[0]
    gear_two.append(lowercase			)
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(lowercase			)			) == 0:
      __snake_case				:			Any            =    gear_three[0]
      gear_three.append(lowercase			)
      del gear_three[0]
      gear_three_pos += 1







def  lowerCAmelCase__(		lowercase    :      Tuple			)	->      Union[str, Any]:
  __snake_case				:			Union[str, Any]            =    alphabets.index(lowercase			)
  __snake_case				:			Tuple            =    gear_one[target]
  __snake_case				:			Union[str, Any]            =    gear_two[target]
  __snake_case				:			int            =    gear_three[target]
  __snake_case				:			Optional[int]            =    reflector[target]
  __snake_case				:			Union[str, Any]            =    gear_three.index(lowercase			)
  __snake_case				:			Optional[Any]            =    gear_two.index(lowercase			)
  __snake_case				:			int            =    gear_one.index(lowercase			)
  code.append(alphabets[target]			)
  rotator()


if __name__ == "__main__":
     _UpperCamelCase    =	list(input('''Type your message:\n'''))
     while True:
          try:
               _UpperCamelCase    =	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!'''
     )

