from collections import OrderedDict
from typing import Mapping

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


A     :  List[str]					     =       logging.get_logger(__name__)

A     :  Dict					     =       {
    "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					(UpperCAmelCase_					):
		"""simple docstring"""







		lowerCamelCase__     =						"roberta"







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

								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					(UpperCAmelCase_					):
		"""simple docstring"""







		@property
		def    __A     (							self :       Dict   )  ->	Any:


								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 typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version


def      a__ (		__UpperCamelCase     ,      __UpperCamelCase     ,      __UpperCamelCase = None				):
      if version.parse(hfh.__version__				).release < version.parse("0.11.0"				).release:
            # old versions of hfh don't url-encode the file path
            SCREAMING_SNAKE_CASE_          =  quote(__UpperCamelCase				)
      return hfh.hf_hub_url(__UpperCamelCase     ,      __UpperCamelCase     ,      repo_type="dataset"     ,      revision=__UpperCamelCase				)


