code: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE : int          =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE : int          =    {
      "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 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							Any         = """flaubert"""
  	UpperCAmelCase   :							Optional[int]         = {
  	    """hidden_size""": """emb_dim""",
  	    """num_attention_heads""": """n_heads""",
  	    """num_hidden_layers""": """n_layers""",
  	    """n_words""": """vocab_size""",  # For backward compatibility
  	}
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_=False				,    UpperCamelCase_=0.0				,    UpperCamelCase_=30145				,    UpperCamelCase_=2048				,    UpperCamelCase_=12				,    UpperCamelCase_=16				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.1				,    UpperCamelCase_=True				,    UpperCamelCase_=False				,    UpperCamelCase_=False				,    UpperCamelCase_=False				,    UpperCamelCase_=1				,    UpperCamelCase_=True				,    UpperCamelCase_=512				,    UpperCamelCase_=2048**-0.5				,    UpperCamelCase_=1e-12				,    UpperCamelCase_=0.02				,    UpperCamelCase_=0				,    UpperCamelCase_=1				,    UpperCamelCase_=2				,    UpperCamelCase_=3				,    UpperCamelCase_=5				,    UpperCamelCase_=True				,    UpperCamelCase_="first"				,    UpperCamelCase_=True				,    UpperCamelCase_=None				,    UpperCamelCase_=True				,    UpperCamelCase_=0.1				,    UpperCamelCase_=5				,    UpperCamelCase_=5				,    UpperCamelCase_=0				,    UpperCamelCase_=0				,    UpperCamelCase_=2				,    UpperCamelCase_=0				,    **UpperCamelCase_				,    )		->			List[str]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   Union[str, Any]			=	pre_norm
  								a_       :   List[Any]			=	layerdrop
  								a_       :   Any			=	vocab_size
  								a_       :   Union[str, Any]			=	emb_dim
  								a_       :   int			=	n_layers
  								a_       :   Optional[int]			=	n_heads
  								a_       :   Tuple			=	dropout
  								a_       :   Optional[int]			=	attention_dropout
  								a_       :   int			=	gelu_activation
  								a_       :   str			=	sinusoidal_embeddings
  								a_       :   Dict			=	causal
  								a_       :   Dict			=	asm
  								a_       :   int			=	n_langs
  								a_       :   str			=	use_lang_emb
  								a_       :   str			=	layer_norm_eps
  								a_       :   Optional[int]			=	bos_index
  								a_       :   str			=	eos_index
  								a_       :   int			=	pad_index
  								a_       :   List[str]			=	unk_index
  								a_       :   int			=	mask_index
  								a_       :   str			=	is_encoder
  								a_       :   Optional[int]			=	max_position_embeddings
  								a_       :   Any			=	embed_init_std
  								a_       :   Dict			=	init_std
  								a_       :   List[str]			=	summary_type
  								a_       :   Union[str, Any]			=	summary_use_proj
  								a_       :   List[Any]			=	summary_activation
  								a_       :   Union[str, Any]			=	summary_proj_to_labels
  								a_       :   List[str]			=	summary_first_dropout
  								a_       :   Any			=	start_n_top
  								a_       :   Any			=	end_n_top
  								a_       :   Union[str, Any]			=	mask_token_id
  								a_       :   Optional[int]			=	lang_id
  
  								if "n_words" in kwargs:
  															a_       :   Optional[int]			=	kwargs["""n_words"""]
  
  								super().__init__(pad_token_id=UpperCamelCase_				,    bos_token_id=UpperCamelCase_				,    **UpperCamelCase_							)
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.task == "multiple-choice":
  															a_       :   Union[str, Any]			=	{0: """batch""", 1: """choice""", 2: """sequence"""}
  								else:
  															a_       :   Dict			=	{0: """batch""", 1: """sequence"""}
  								return OrderedDict(
  								    [
  								        ("""input_ids""", dynamic_axis),
  								        ("""attention_mask""", dynamic_axis),
  								    ]							)
  
  
  
style_context: 
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: list[int]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							a_       :   List[Any]			=	len(SCREAMING_SNAKE_CASE_      )
  							if n in (0, 1):
  														return 0
  							return sum(query * (n - i - 1) for i, query in enumerate(sorted(SCREAMING_SNAKE_CASE_      )      )      )
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  