


from collections import OrderedDict
from typing import Mapping

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


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

snake_case							:	Dict					      =				{
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   List[str]   				=      '''ibert'''
					def __init__(				self       :Any      ,__snake_case       :List[Any]=3_05_22      ,__snake_case       :int=7_68      ,__snake_case       :Any=12      ,__snake_case       :Optional[Any]=12      ,__snake_case       :str=30_72      ,__snake_case       :Optional[int]="gelu"      ,__snake_case       :Optional[Any]=0.1      ,__snake_case       :Tuple=0.1      ,__snake_case       :Optional[int]=5_12      ,__snake_case       :str=2      ,__snake_case       :Optional[Any]=0.02      ,__snake_case       :List[str]=1E-12      ,__snake_case       :Tuple=1      ,__snake_case       :str=0      ,__snake_case       :str=2      ,__snake_case       :Optional[int]="absolute"      ,__snake_case       :Union[str, Any]=False      ,__snake_case       :Tuple="none"      ,**__snake_case       :List[str]      ,) ->   Tuple:
												super().__init__(pad_token_id=__snake_case      ,bos_token_id=__snake_case      ,eos_token_id=__snake_case      ,**__snake_case				)

												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__					=					quant_mode
												a__					=					force_dequant







class 	snake_case_       (lowerCamelCase_				):
					@property
					def 			lowerCamelCase__(				self       :List[str]				) ->   Mapping[str, Mapping[int, str]]:
												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),
												    ]				)








from __future__ import annotations






def 							__lowercase       (			__lowerCAmelCase							:    float ,   __lowerCAmelCase							:    float ,   __lowerCAmelCase							:    float       ):
							if (voltage, current, resistance).count(0       ) != 1:
														raise ValueError('One and only one argument must be 0'       )
							if resistance < 0:
														raise ValueError('Resistance cannot be negative'       )
							if voltage == 0:
														return {"voltage": float(current * resistance       )}
							elif current == 0:
														return {"current": voltage / resistance}
							elif resistance == 0:
														return {"resistance": voltage / current}
							else:
														raise ValueError('Exactly one argument must be 0'       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




