





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase:  str   =   logging.get_logger(__name__)

__UpperCamelCase:  Optional[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 			__lowerCAmelCase				(					lowerCAmelCase__			):


	'''simple docstring'''





	_A       	=							"""flaubert"""
	_A       	=							{
	    """hidden_size""": """emb_dim""",
	    """num_attention_heads""": """n_heads""",
	    """num_hidden_layers""": """n_layers""",
	    """n_words""": """vocab_size""",  # For backward compatibility
	}

	def __init__(	self:	List[str],				lowerCamelCase_:	Tuple=False,				lowerCamelCase_:	Dict=0.0,				lowerCamelCase_:	List[Any]=30145,				lowerCamelCase_:	Optional[int]=2048,				lowerCamelCase_:	int=12,				lowerCamelCase_:	Dict=16,				lowerCamelCase_:	Optional[Any]=0.1,				lowerCamelCase_:	str=0.1,				lowerCamelCase_:	int=True,				lowerCamelCase_:	str=False,				lowerCamelCase_:	List[Any]=False,				lowerCamelCase_:	str=False,				lowerCamelCase_:	Union[str, Any]=1,				lowerCamelCase_:	Union[str, Any]=True,				lowerCamelCase_:	Optional[int]=512,				lowerCamelCase_:	Tuple=2048**-0.5,				lowerCamelCase_:	List[Any]=1E-12,				lowerCamelCase_:	List[str]=0.0_2,				lowerCamelCase_:	Optional[int]=0,				lowerCamelCase_:	int=1,				lowerCamelCase_:	Any=2,				lowerCamelCase_:	Union[str, Any]=3,				lowerCamelCase_:	Union[str, Any]=5,				lowerCamelCase_:	Dict=True,				lowerCamelCase_:	List[Any]="first",				lowerCamelCase_:	List[Any]=True,				lowerCamelCase_:	Union[str, Any]=None,				lowerCamelCase_:	List[str]=True,				lowerCamelCase_:	int=0.1,				lowerCamelCase_:	str=5,				lowerCamelCase_:	List[str]=5,				lowerCamelCase_:	Any=0,				lowerCamelCase_:	int=0,				lowerCamelCase_:	Optional[int]=2,				lowerCamelCase_:	Tuple=0,				**lowerCamelCase_:	int,				):
			lowercase__				:			Dict            =		pre_norm
			lowercase__				:			int            =		layerdrop
			lowercase__				:			Any            =		vocab_size
			lowercase__				:			List[str]            =		emb_dim
			lowercase__				:			Optional[Any]            =		n_layers
			lowercase__				:			List[str]            =		n_heads
			lowercase__				:			Any            =		dropout
			lowercase__				:			Any            =		attention_dropout
			lowercase__				:			List[Any]            =		gelu_activation
			lowercase__				:			str            =		sinusoidal_embeddings
			lowercase__				:			Tuple            =		causal
			lowercase__				:			List[Any]            =		asm
			lowercase__				:			Optional[Any]            =		n_langs
			lowercase__				:			List[str]            =		use_lang_emb
			lowercase__				:			Dict            =		layer_norm_eps
			lowercase__				:			Dict            =		bos_index
			lowercase__				:			Optional[int]            =		eos_index
			lowercase__				:			List[str]            =		pad_index
			lowercase__				:			Tuple            =		unk_index
			lowercase__				:			str            =		mask_index
			lowercase__				:			str            =		is_encoder
			lowercase__				:			Tuple            =		max_position_embeddings
			lowercase__				:			int            =		embed_init_std
			lowercase__				:			List[str]            =		init_std
			lowercase__				:			List[Any]            =		summary_type
			lowercase__				:			Dict            =		summary_use_proj
			lowercase__				:			Optional[Any]            =		summary_activation
			lowercase__				:			Tuple            =		summary_proj_to_labels
			lowercase__				:			Optional[int]            =		summary_first_dropout
			lowercase__				:			int            =		start_n_top
			lowercase__				:			Union[str, Any]            =		end_n_top
			lowercase__				:			int            =		mask_token_id
			lowercase__				:			str            =		lang_id

			if "n_words" in kwargs:
					lowercase__				:			List[str]            =		kwargs['n_words']

			super().__init__(pad_token_id=lowerCAmelCase_,				bos_token_id=lowerCAmelCase_,				**lowerCAmelCase_ )


class 			__lowerCAmelCase				(					lowerCAmelCase__			):


	'''simple docstring'''





	@property
	def       snake_case__(	self:	Union[str, Any] ):






			if self.task == "multiple-choice":
					lowercase__				:			str            =		{0: 'batch', 1: 'choice', 2: 'sequence'}
			else:
					lowercase__				:			Any            =		{0: 'batch', 1: 'sequence'}
			return OrderedDict(
			    [
			        ('input_ids', dynamic_axis),
			        ('attention_mask', dynamic_axis),
			    ] )









def 			SCREAMING_SNAKE_CASE__     (					_lowercase    :   list )      ->       list:




		'''simple docstring'''
		lowercase__				:			Any            =		len(_lowercase )
		for cycle_start in range(0      ,						array_len - 1 ):
				lowercase__				:			List[str]            =		array[cycle_start]

				lowercase__				:			str            =		cycle_start
				for i in range(cycle_start + 1      ,						_lowercase ):
						if array[i] < item:
								pos += 1

				if pos == cycle_start:
						continue

				while item == array[pos]:
						pos += 1

				lowercase__      ,							lowercase__				:			Optional[Any]            =		item, array[pos]
				while pos != cycle_start:
						lowercase__				:			str            =		cycle_start
						for i in range(cycle_start + 1      ,						_lowercase ):
								if array[i] < item:
										pos += 1

						while item == array[pos]:
								pos += 1

						lowercase__      ,							lowercase__				:			Tuple            =		item, array[pos]

		return array


if __name__ == "__main__":
			assert cycle_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
			assert cycle_sort([0, 1, -1_0, 1_5, 2, -2]) == [-1_0, -2, 0, 1, 2, 1_5]


