from collections import OrderedDict
from typing import Mapping

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


A   :     Tuple       =				logging.get_logger(__name__)

A   :     Union[str, Any]       =				{
    "roberta-base": "https://huggingface.co/roberta-base/resolve/main/config.json",
    "roberta-large": "https://huggingface.co/roberta-large/resolve/main/config.json",
    "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/config.json",
    "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/config.json",
    "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json",
    "roberta-large-openai-detector": "https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json",
}


class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  lowerCamelCase__   =  '''roberta'''







  def __init__(							self       :				Dict     ,   __magic_name__       :				Tuple=50_265     ,   __magic_name__       :				Optional[Any]=768     ,   __magic_name__       :				List[str]=12     ,   __magic_name__       :				Union[str, Any]=12     ,   __magic_name__       :				Any=3_072     ,   __magic_name__       :				Any="gelu"     ,   __magic_name__       :				Optional[Any]=0.1     ,   __magic_name__       :				Optional[int]=0.1     ,   __magic_name__       :				str=512     ,   __magic_name__       :				Optional[int]=2     ,   __magic_name__       :				Dict=0.02     ,   __magic_name__       :				str=1e-12     ,   __magic_name__       :				Optional[int]=1     ,   __magic_name__       :				Any=0     ,   __magic_name__       :				List[Any]=2     ,   __magic_name__       :				Any="absolute"     ,   __magic_name__       :				Dict=True     ,   __magic_name__       :				Optional[Any]=None     ,   **__magic_name__       :				Optional[int]     ,   )     ->		Dict:
        super().__init__(pad_token_id=__magic_name__     ,   bos_token_id=__magic_name__     ,   eos_token_id=__magic_name__     ,   **__magic_name__      )

        SCREAMING_SNAKE_CASE_      =     vocab_size
        SCREAMING_SNAKE_CASE_      =     hidden_size
        SCREAMING_SNAKE_CASE_      =     num_hidden_layers
        SCREAMING_SNAKE_CASE_      =     num_attention_heads
        SCREAMING_SNAKE_CASE_      =     hidden_act
        SCREAMING_SNAKE_CASE_      =     intermediate_size
        SCREAMING_SNAKE_CASE_      =     hidden_dropout_prob
        SCREAMING_SNAKE_CASE_      =     attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE_      =     max_position_embeddings
        SCREAMING_SNAKE_CASE_      =     type_vocab_size
        SCREAMING_SNAKE_CASE_      =     initializer_range
        SCREAMING_SNAKE_CASE_      =     layer_norm_eps
        SCREAMING_SNAKE_CASE_      =     position_embedding_type
        SCREAMING_SNAKE_CASE_      =     use_cache
        SCREAMING_SNAKE_CASE_      =     classifier_dropout



class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  @property
  def       __A   (							self       :				Optional[Any]      )     ->		Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
              SCREAMING_SNAKE_CASE_      =     {0: "batch", 1: "choice", 2: "sequence"}
        else:
              SCREAMING_SNAKE_CASE_      =     {0: "batch", 1: "sequence"}
        return OrderedDict(
            [
                ("input_ids", dynamic_axis),
                ("attention_mask", dynamic_axis),
            ]      )



from functools import lru_cache


@lru_cache
def    a__       (						__UpperCamelCase ):
      if num < 0:
            raise ValueError("Number should not be negative." )

      return 1 if num in (0, 1) else num * factorial(num - 1 )


if __name__ == "__main__":
      import doctest

      doctest.testmod()


