





"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


a		:				int  			=    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  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      Optional[Any]         ="""roberta"""






							def __init__(     self   ,      lowerCAmelCase__=5_0265   ,      lowerCAmelCase__=768   ,      lowerCAmelCase__=12   ,      lowerCAmelCase__=12   ,      lowerCAmelCase__=3072   ,      lowerCAmelCase__="gelu"   ,      lowerCAmelCase__=0.1   ,      lowerCAmelCase__=0.1   ,      lowerCAmelCase__=512   ,      lowerCAmelCase__=2   ,      lowerCAmelCase__=0.02   ,      lowerCAmelCase__=1E-12   ,      lowerCAmelCase__=1   ,      lowerCAmelCase__=0   ,      lowerCAmelCase__=2   ,      lowerCAmelCase__="absolute"   ,      lowerCAmelCase__=True   ,      lowerCAmelCase__=None   ,      **lowerCAmelCase__   ,      )			->				Optional[Any]:
								super().__init__(pad_token_id=lowerCAmelCase__   ,      bos_token_id=lowerCAmelCase__   ,      eos_token_id=lowerCAmelCase__   ,      **lowerCAmelCase__   )

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


class  __UpperCamelCase       (		a__		):






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









"""simple docstring"""




a		:				str  			=    8.314_4598






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					float					, _lowercase		:					float      )				->float:






	'''simple docstring'''






	if temperature < 0:
		raise Exception("Temperature cannot be less than 0 K"      )
	if molar_mass <= 0:
		raise Exception("Molar mass cannot be less than or equal to 0 kg/mol"      )
	else:
		return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
		import doctest

		# run doctest
		doctest.testmod()

		# example
		a		:				Any  			=    300
		a		:				Dict  			=    28
		a		:				Dict  			=    rms_speed_of_molecule(temperature, molar_mass)
		print(F'''Vrms of Nitrogen gas at 300 K is {vrms} m/s''')


