





from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase:	Dict = logging.get_logger(__name__)

__UpperCamelCase:	Optional[int] = {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}


class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				"camembert"

	def __init__(						self:						Optional[Any],					lowerCamelCase_:						Any=30522,					lowerCamelCase_:						Optional[Any]=768,					lowerCamelCase_:						Union[str, Any]=12,					lowerCamelCase_:						Optional[int]=12,					lowerCamelCase_:						Tuple=3072,					lowerCamelCase_:						Any="gelu",					lowerCamelCase_:						List[str]=0.1,					lowerCamelCase_:						Optional[Any]=0.1,					lowerCamelCase_:						Optional[int]=512,					lowerCamelCase_:						Union[str, Any]=2,					lowerCamelCase_:						str=0.0_2,					lowerCamelCase_:						Optional[Any]=1E-12,					lowerCamelCase_:						Tuple=1,					lowerCamelCase_:						Union[str, Any]=0,					lowerCamelCase_:						str=2,					lowerCamelCase_:						Optional[Any]="absolute",					lowerCamelCase_:						Union[str, Any]=True,					lowerCamelCase_:						List[str]=None,					**lowerCamelCase_:						int,					):
			super().__init__(pad_token_id=snake_case__,					bos_token_id=snake_case__,					eos_token_id=snake_case__,					**snake_case__			)

			lowercase__					:      Optional[Any]      =		vocab_size
			lowercase__					:      List[str]      =		hidden_size
			lowercase__					:      Dict      =		num_hidden_layers
			lowercase__					:      Optional[Any]      =		num_attention_heads
			lowercase__					:      Any      =		hidden_act
			lowercase__					:      str      =		intermediate_size
			lowercase__					:      Union[str, Any]      =		hidden_dropout_prob
			lowercase__					:      Any      =		attention_probs_dropout_prob
			lowercase__					:      List[Any]      =		max_position_embeddings
			lowercase__					:      Tuple      =		type_vocab_size
			lowercase__					:      int      =		initializer_range
			lowercase__					:      int      =		layer_norm_eps
			lowercase__					:      str      =		position_embedding_type
			lowercase__					:      List[Any]      =		use_cache
			lowercase__					:      Dict      =		classifier_dropout


class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





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






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





import baseaa


def 							__lowerCAmelCase     (							_UpperCamelCase		:	str						)		->				bytes:
 '''simple docstring'''


 return baseaa.aaaencode(string.encode('utf-8'						)						)


def 							__lowerCAmelCase     (							_UpperCamelCase		:	bytes						)		->				str:
 '''simple docstring'''


 return baseaa.aaadecode(_UpperCamelCase						).decode('utf-8'						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

