code: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  UpperCAmelCase      :						Any    =		logging.get_logger(__name__)
  
  UpperCAmelCase      :						Any    =		{
      "flaubert/flaubert_small_cased": "https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json",
      "flaubert/flaubert_base_uncased": "https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json",
      "flaubert/flaubert_base_cased": "https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json",
      "flaubert/flaubert_large_cased": "https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json",
  }
  
  
  
  
  
  
  
  class 					__lowercase					(       a_     ):
  
  
  
    """simple docstring"""
  
    UpperCamelCase    :				Any 					=		"flaubert"
    UpperCamelCase    :				Dict 					=		{
        "hidden_size": "emb_dim",
        "num_attention_heads": "n_heads",
        "num_hidden_layers": "n_layers",
        "n_words": "vocab_size",  # For backward compatibility
    }
  
  
  
  
  
  
  
    def __init__(   self		,			A=False		,			A=0.0		,			A=3_01_45		,			A=20_48		,			A=12		,			A=16		,			A=0.1		,			A=0.1		,			A=True		,			A=False		,			A=False		,			A=False		,			A=1		,			A=True		,			A=5_12		,			A=20_48**-0.5		,			A=1e-1_2		,			A=0.02		,			A=0		,			A=1		,			A=2		,			A=3		,			A=5		,			A=True		,			A="first"		,			A=True		,			A=None		,			A=True		,			A=0.1		,			A=5		,			A=5		,			A=0		,			A=0		,			A=2		,			A=0		,			**A		,			)     ->   int:
  
  
  
  
  
  
  
       '''simple docstring'''
  
  
  
  
  
  
  
       lowerCamelCase								=     pre_norm
       lowerCamelCase								=     layerdrop
       lowerCamelCase								=     vocab_size
       lowerCamelCase								=     emb_dim
       lowerCamelCase								=     n_layers
       lowerCamelCase								=     n_heads
       lowerCamelCase								=     dropout
       lowerCamelCase								=     attention_dropout
       lowerCamelCase								=     gelu_activation
       lowerCamelCase								=     sinusoidal_embeddings
       lowerCamelCase								=     causal
       lowerCamelCase								=     asm
       lowerCamelCase								=     n_langs
       lowerCamelCase								=     use_lang_emb
       lowerCamelCase								=     layer_norm_eps
       lowerCamelCase								=     bos_index
       lowerCamelCase								=     eos_index
       lowerCamelCase								=     pad_index
       lowerCamelCase								=     unk_index
       lowerCamelCase								=     mask_index
       lowerCamelCase								=     is_encoder
       lowerCamelCase								=     max_position_embeddings
       lowerCamelCase								=     embed_init_std
       lowerCamelCase								=     init_std
       lowerCamelCase								=     summary_type
       lowerCamelCase								=     summary_use_proj
       lowerCamelCase								=     summary_activation
       lowerCamelCase								=     summary_proj_to_labels
       lowerCamelCase								=     summary_first_dropout
       lowerCamelCase								=     start_n_top
       lowerCamelCase								=     end_n_top
       lowerCamelCase								=     mask_token_id
       lowerCamelCase								=     lang_id
  
       if "n_words" in kwargs:
          lowerCamelCase								=     kwargs["""n_words"""]
  
       super().__init__(pad_token_id=A		,			bos_token_id=A		,			**A  )
  
  
  
  
  
  
  
  class 					__lowercase					(       a_     ):
  
  
  
    """simple docstring"""
  
    @property
    def 				__A      (   self  )     ->   Mapping[str, Mapping[int, str]]:
  
  
  
  
  
  
  
       '''simple docstring'''
  
  
  
  
  
  
  
       if self.task == "multiple-choice":
          lowerCamelCase								=     {0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
          lowerCamelCase								=     {0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
           ]  )
  
  
style_context: 
  
  
  def   __lowerCamelCase	(       lowerCamelCase__		:	int = 100     ,       lowerCamelCase__		:	int = 100			):
  
  
  
  
  
  			'''simple docstring'''
  
  
  
  
  			return max(
  			    sum(int(lowerCamelCase__			) for x in str(base**power			)			)
  			    for base in range(lowerCamelCase__			)
  			    for power in range(lowerCamelCase__			)			)
  
  
  # Tests
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  