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__				: List[str]									=   logging.get_logger(__name__)
  
  a__				: Optional[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 							__snake_case    (				__magic_name__       ):
  	__lowerCAmelCase						=     '''electra'''
  
  
  
  
  
  	def __init__(		self			,					UpperCamelCase_=3_0522			,					UpperCamelCase_=128			,					UpperCamelCase_=256			,					UpperCamelCase_=12			,					UpperCamelCase_=4			,					UpperCamelCase_=1024			,					UpperCamelCase_="gelu"			,					UpperCamelCase_=0.1			,					UpperCamelCase_=0.1			,					UpperCamelCase_=512			,					UpperCamelCase_=2			,					UpperCamelCase_=0.0_2			,					UpperCamelCase_=1E-1_2			,					UpperCamelCase_="first"			,					UpperCamelCase_=True			,					UpperCamelCase_="gelu"			,					UpperCamelCase_=0.1			,					UpperCamelCase_=0			,					UpperCamelCase_="absolute"			,					UpperCamelCase_=True			,					UpperCamelCase_=None			,					**UpperCamelCase_			,					)			->		Dict:
  		super().__init__(pad_token_id=UpperCamelCase_			,					**UpperCamelCase_		)
  
  		snake_case__  					=      vocab_size
  		snake_case__  					=      embedding_size
  		snake_case__  					=      hidden_size
  		snake_case__  					=      num_hidden_layers
  		snake_case__  					=      num_attention_heads
  		snake_case__  					=      intermediate_size
  		snake_case__  					=      hidden_act
  		snake_case__  					=      hidden_dropout_prob
  		snake_case__  					=      attention_probs_dropout_prob
  		snake_case__  					=      max_position_embeddings
  		snake_case__  					=      type_vocab_size
  		snake_case__  					=      initializer_range
  		snake_case__  					=      layer_norm_eps
  
  		snake_case__  					=      summary_type
  		snake_case__  					=      summary_use_proj
  		snake_case__  					=      summary_activation
  		snake_case__  					=      summary_last_dropout
  		snake_case__  					=      position_embedding_type
  		snake_case__  					=      use_cache
  		snake_case__  					=      classifier_dropout
  
  
  
  
  
  
  class 							__snake_case    (				__magic_name__       ):
  
  
  
  
  
  	@property
  	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
  		if self.task == "multiple-choice":
  			snake_case__  					=      {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
  		else:
  			snake_case__  					=      {0: '''batch''', 1: '''sequence'''}
  		return OrderedDict(
  		    [
  		        ('input_ids', dynamic_axis),
  		        ('attention_mask', dynamic_axis),
  		        ('token_type_ids', dynamic_axis),
  		    ]		)
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  from typing import Callable
  
  
  
  
  def 	__lowerCamelCase (  UpperCAmelCase_       )      ->str:
  
  	def wrapper(UpperCAmelCase_       ):
  		snake_case__  					=      function_with_docstring.__doc__
  		return target_function
  
  	return wrapper
  
  
  
  