



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


lowercase__		:    Union[str, Any]				   =     logging.get_logger(__name__)

lowercase__		:    List[str]				   =     {
    """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 				UpperCamelCase__       (     lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE      =					"""roberta"""



      def __init__(				self    :				Optional[Any]   ,      SCREAMING_SNAKE_CASE_    :				Optional[Any]=5_0_2_6_5   ,      SCREAMING_SNAKE_CASE_    :				List[Any]=7_6_8   ,      SCREAMING_SNAKE_CASE_    :				Dict=1_2   ,      SCREAMING_SNAKE_CASE_    :				List[str]=1_2   ,      SCREAMING_SNAKE_CASE_    :				Union[str, Any]=3_0_7_2   ,      SCREAMING_SNAKE_CASE_    :				List[str]="gelu"   ,      SCREAMING_SNAKE_CASE_    :				Any=0.1   ,      SCREAMING_SNAKE_CASE_    :				List[Any]=0.1   ,      SCREAMING_SNAKE_CASE_    :				Tuple=5_1_2   ,      SCREAMING_SNAKE_CASE_    :				Union[str, Any]=2   ,      SCREAMING_SNAKE_CASE_    :				Union[str, Any]=0.02   ,      SCREAMING_SNAKE_CASE_    :				Optional[Any]=1E-12   ,      SCREAMING_SNAKE_CASE_    :				Dict=1   ,      SCREAMING_SNAKE_CASE_    :				Any=0   ,      SCREAMING_SNAKE_CASE_    :				List[str]=2   ,      SCREAMING_SNAKE_CASE_    :				Union[str, Any]="absolute"   ,      SCREAMING_SNAKE_CASE_    :				Union[str, Any]=True   ,      SCREAMING_SNAKE_CASE_    :				Optional[Any]=None   ,      **SCREAMING_SNAKE_CASE_    :				Any   ,      ):
        super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_   ,      bos_token_id=SCREAMING_SNAKE_CASE_   ,      eos_token_id=SCREAMING_SNAKE_CASE_   ,      **SCREAMING_SNAKE_CASE_	)

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







class 				UpperCamelCase__       (     lowercase_  ):




      """simple docstring"""




      @property
      def 					SCREAMING_SNAKE_CASE__			(				self    :				Dict	):
        if self.task == "multiple-choice":
          lowerCAmelCase_       :    Union[str, Any]								=			{0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
          lowerCAmelCase_       :    Tuple								=			{0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ]	)










"""simple docstring"""







from collections.abc import Iterable
from typing import Generic, TypeVar

lowercase__		:    Any				   =     TypeVar("""_T""")







class 				UpperCamelCase__       (     Generic[_T]  ):




      """simple docstring"""




      def __init__(				self    :				Any   ,      SCREAMING_SNAKE_CASE_    :				Iterable[_T] | None = None	):
        lowerCAmelCase_       :    list[_T]								=			list(iterable or []	)
        lowerCAmelCase_       :    list[_T]								=			[]



      def __len__(				self    :				List[str]	):
        return len(self._stacka	) + len(self._stacka	)



      def __repr__(				self    :				int	):
        return F"Queue({tuple(self._stacka[::-1] + self._stacka	)})"



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple   ,      SCREAMING_SNAKE_CASE_    :				_T	):
        self._stacka.append(SCREAMING_SNAKE_CASE_	)





      def 					SCREAMING_SNAKE_CASE__			(				self    :				str	):
        lowerCAmelCase_       :    List[str]								=			self._stacka.pop
        lowerCAmelCase_       :    int								=			self._stacka.append

        if not self._stacka:
          while self._stacka:
            stacka_append(stacka_pop()	)

        if not self._stacka:
          raise IndexError('Queue is empty'	)
        return self._stacka.pop()


if __name__ == "__main__":
     from doctest import testmod

     testmod()





