"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_UpperCamelCase     :		Any											=					logging.get_logger(__name__)

_UpperCamelCase     :		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   UpperCAmelCase_			(					_a):
						lowerCamelCase__	:					int										=						"roberta"


						def __init__(     self	,    a=5_0_2_6_5	,    a=7_6_8	,    a=1_2	,    a=1_2	,    a=3_0_7_2	,    a="gelu"	,    a=0.1	,    a=0.1	,    a=5_1_2	,    a=2	,    a=0.02	,    a=1e-12	,    a=1	,    a=0	,    a=2	,    a="absolute"	,    a=True	,    a=None	,    **a	,    ) ->      Optional[Any]:
													super().__init__(pad_token_id=a	,    bos_token_id=a	,    eos_token_id=a	,    **a							)

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





class   UpperCAmelCase_			(					_a):


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


"""simple docstring"""





from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments

