


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),
								    ]							)






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()


