



from collections import OrderedDict
from typing import Mapping

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


_snake_case	=						logging.get_logger(__name__)

_snake_case	=						{
    "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 						UpperCAmelCase_					( __lowerCAmelCase):
       lowerCamelCase__         =	'''camembert'''







       def __init__(     self,    __a=3_0522,    __a=768,    __a=12,    __a=12,    __a=3072,    __a="gelu",    __a=0.1,    __a=0.1,    __a=512,    __a=2,    __a=0.02,    __a=1E-12,    __a=1,    __a=0,    __a=2,    __a="absolute",    __a=True,    __a=None,    **__a,    ):

              '''simple docstring'''

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

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



class 						UpperCAmelCase_					( __lowerCAmelCase):







       @property
       def      snake_case__   (     self):

              '''simple docstring'''

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





import baseaa






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




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






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							return baseaa.aaadecode(_lowerCamelCase						).decode("utf-8"						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
