code: 
  """simple docstring"""
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  __magic_name__		       =				logging.get_logger(__name__)
  
  __magic_name__		       =				{
      '''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						(						UpperCamelCase_						):
  							lowercase_     :     List[str]       =							"""electra"""
  
  
  
  							def __init__(      self ,						a_=30522 ,						a_=128 ,						a_=256 ,						a_=12 ,						a_=4 ,						a_=1024 ,						a_="gelu" ,						a_=0.1 ,						a_=0.1 ,						a_=512 ,						a_=2 ,						a_=0.02 ,						a_=1e-12 ,						a_="first" ,						a_=True ,						a_="gelu" ,						a_=0.1 ,						a_=0 ,						a_="absolute" ,						a_=True ,						a_=None ,						**a_ ,						)							->							str:
  								super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,						**__SCREAMING_SNAKE_CASE   )
  
  								_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    _lowerCAmelCase						(						UpperCamelCase_						):
  
  
  
  							@property
  							def       _a   (      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"""
  def     __lowerCamelCase  (		UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	if not isinstance(UpperCamelCase__				,     UpperCamelCase__      ):
  		raise TypeError("recursive_lucas_number accepts only integer arguments."      )
  	if n_th_number == 0:
  		return 2
  	if n_th_number == 1:
  		return 1
  
  	return recursive_lucas_number(n_th_number - 1      ) + recursive_lucas_number(
  	    n_th_number - 2      )
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	if not isinstance(UpperCamelCase__				,     UpperCamelCase__      ):
  		raise TypeError("dynamic_lucas_number accepts only integer arguments."      )
  	_UpperCAmelCase ,      _UpperCAmelCase =						2, 1
  	for _ in range(UpperCamelCase__      ):
  		_UpperCAmelCase ,      _UpperCAmelCase =						b, a + b
  	return a
  
  
  if __name__ == "__main__":
  			from doctest import testmod
  
  			testmod()
  			__magic_name__		       =				int(input('''Enter the number of terms in lucas series:\n''').strip())
  			print('''Using recursive function to calculate lucas series:''')
  			print(''' '''.join(str(recursive_lucas_number(i)) for i in range(n)))
  			print('''\nUsing dynamic function to calculate lucas series:''')
  			print(''' '''.join(str(dynamic_lucas_number(i)) for i in range(n)))
  
  
  
  
  