





'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

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


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

lowerCAmelCase_					:    Optional[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 				__SCREAMING_SNAKE_CASE  (lowerCamelCase_      ):






				"""simple docstring"""







				__a            ='roberta'




				def __init__(  self     :					Any					,				__a     :					List[Any]=5_02_65					,				__a     :					Union[str, Any]=7_68					,				__a     :					Optional[Any]=12					,				__a     :					Any=12					,				__a     :					Union[str, Any]=30_72					,				__a     :					List[str]="gelu"					,				__a     :					Optional[int]=0.1					,				__a     :					Optional[Any]=0.1					,				__a     :					Optional[int]=5_12					,				__a     :					Any=2					,				__a     :					Dict=0.02					,				__a     :					List[Any]=1e-1_2					,				__a     :					Any=1					,				__a     :					Optional[int]=0					,				__a     :					int=2					,				__a     :					List[str]="absolute"					,				__a     :					Dict=True					,				__a     :					Optional[int]=None					,				**__a     :					List[str]					,				):
								super().__init__(pad_token_id=__a					,				bos_token_id=__a					,				eos_token_id=__a					,				**__a					)

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


class 				__SCREAMING_SNAKE_CASE  (lowerCamelCase_      ):






				"""simple docstring"""







				@property
				def   UpperCamelCase__   (  self     :					Tuple					):
								if self.task == "multiple-choice":
												_a								= {0: "batch", 1: "choice", 2: "sequence"}
								else:
												_a								= {0: "batch", 1: "sequence"}
								return OrderedDict(
								    [
								        ("input_ids", dynamic_axis),
								        ("attention_mask", dynamic_axis),
								    ]					)







'''simple docstring'''







def  _lowerCamelCase				( lowercase						:      int						)	->	bool:
				if num < 0:
								return False

				_a								= num
				_a								= 0
				while num > 0:
								_a								= rev_num * 10 + (num % 10)
								num //= 10

				return num_copy == rev_num


if __name__ == "__main__":
					import doctest

					doctest.testmod()
