


"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """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 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							str	=       """roberta"""






    def __init__(					self				:    Tuple				, __UpperCAmelCase				:    Tuple=50265				, __UpperCAmelCase				:    Dict=768				, __UpperCAmelCase				:    Optional[int]=12				, __UpperCAmelCase				:    Optional[int]=12				, __UpperCAmelCase				:    Any=3072				, __UpperCAmelCase				:    Optional[int]="gelu"				, __UpperCAmelCase				:    Optional[Any]=0.1				, __UpperCAmelCase				:    Union[str, Any]=0.1				, __UpperCAmelCase				:    Dict=512				, __UpperCAmelCase				:    Optional[int]=2				, __UpperCAmelCase				:    List[Any]=0.02				, __UpperCAmelCase				:    List[str]=1e-12				, __UpperCAmelCase				:    List[Any]=1				, __UpperCAmelCase				:    str=0				, __UpperCAmelCase				:    Optional[int]=2				, __UpperCAmelCase				:    Optional[int]="absolute"				, __UpperCAmelCase				:    List[str]=True				, __UpperCAmelCase				:    Dict=None				, **__UpperCAmelCase				:    str				, ):
      super().__init__(pad_token_id=__UpperCAmelCase				, bos_token_id=__UpperCAmelCase				, eos_token_id=__UpperCAmelCase				, **__UpperCAmelCase)

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






class 						_A  (  _a  ):







    """simple docstring"""




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










"""simple docstring"""







def      lowercase			(				A_       )->      str:
  '''simple docstring'''







  if isinstance(A_  ,   A_       ):
    raise TypeError("'float' object cannot be interpreted as an integer"       )
  if isinstance(A_  ,   A_       ):
    raise TypeError("'str' object cannot be interpreted as an integer"       )

  if num == 0:
    return "0b0"

  a						:		Optional[Any]      							=			False

  if num < 0:
    a						:		Tuple      							=			True
    a						:		str      							=			-num

  a						:		list[int]      							=			[]
  while num > 0:
    binary.insert(0  ,   num % 2       )
    num >>= 1

  if negative:
    return "-0b" + "".join(str(A_       ) for e in binary       )

  return "0b" + "".join(str(A_       ) for e in binary       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






