from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_      =      logging.get_logger(__name__)

A_      =      {
    "weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}






class      __lowercase					(    _A    ):
						lowercase					 =     'roc_bert'

						def __init__(	self				:      str							,							__lowerCamelCase				:      str=3_05_22							,							__lowerCamelCase				:      int=7_68							,							__lowerCamelCase				:      Union[str, Any]=12							,							__lowerCamelCase				:      Union[str, Any]=12							,							__lowerCamelCase				:      List[str]=30_72							,							__lowerCamelCase				:      Union[str, Any]="gelu"							,							__lowerCamelCase				:      List[Any]=0.1							,							__lowerCamelCase				:      List[Any]=0.1							,							__lowerCamelCase				:      Any=5_12							,							__lowerCamelCase				:      Optional[Any]=2							,							__lowerCamelCase				:      Dict=0.02							,							__lowerCamelCase				:      str=1E-12							,							__lowerCamelCase				:      Tuple=True							,							__lowerCamelCase				:      Union[str, Any]=0							,							__lowerCamelCase				:      Optional[int]="absolute"							,							__lowerCamelCase				:      int=None							,							__lowerCamelCase				:      Dict=True							,							__lowerCamelCase				:      Any=True							,							__lowerCamelCase				:      Tuple=7_68							,							__lowerCamelCase				:      str=9_10							,							__lowerCamelCase				:      str=5_12							,							__lowerCamelCase				:      Optional[int]=2_48_58							,							__lowerCamelCase				:      Any=True							,							**__lowerCamelCase				:      Tuple							,							)							->		str:


									'''simple docstring'''

									lowercase							=		vocab_size
									lowercase							=		max_position_embeddings
									lowercase							=		hidden_size
									lowercase							=		num_hidden_layers
									lowercase							=		num_attention_heads
									lowercase							=		intermediate_size
									lowercase							=		hidden_act
									lowercase							=		hidden_dropout_prob
									lowercase							=		attention_probs_dropout_prob
									lowercase							=		initializer_range
									lowercase							=		type_vocab_size
									lowercase							=		layer_norm_eps
									lowercase							=		use_cache
									lowercase							=		enable_pronunciation
									lowercase							=		enable_shape
									lowercase							=		pronunciation_embed_dim
									lowercase							=		pronunciation_vocab_size
									lowercase							=		shape_embed_dim
									lowercase							=		shape_vocab_size
									lowercase							=		concat_input
									lowercase							=		position_embedding_type
									lowercase							=		classifier_dropout
									super().__init__(pad_token_id=__lowerCamelCase							,							**__lowerCamelCase   )






from __future__ import annotations

from math import pi






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       )->       dict[str, float]:



			"""simple docstring"""







			if (inductance, frequency, reactance).count(0       ) != 1:
						raise ValueError('''One and only one argument must be 0'''       )
			if inductance < 0:
						raise ValueError('''Inductance cannot be negative'''       )
			if frequency < 0:
						raise ValueError('''Frequency cannot be negative'''       )
			if reactance < 0:
						raise ValueError('''Inductive reactance cannot be negative'''       )
			if inductance == 0:
						return {"inductance": reactance / (2 * pi * frequency)}
			elif frequency == 0:
						return {"frequency": reactance / (2 * pi * inductance)}
			elif reactance == 0:
						return {"reactance": 2 * pi * frequency * inductance}
			else:
						raise ValueError('''Exactly one argument must be 0'''       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()





