





"""simple docstring"""




from collections import namedtuple

UpperCamelCase_									=namedtuple("""from_to""", """from_ to""")

UpperCamelCase_									={
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 1_000),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.0_0454, 264.172),
    """cubicyard""": from_to(0.7_6455, 1.3_0795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.0_0023_6588, 4226.75),
}





def 	a_    (							_lowercase	,						_lowercase	,						_lowercase       ):
						if from_type not in METRIC_CONVERSION:
												raise ValueError(
												    F"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
												    + ''', '''.join(_lowercase       )       )
						if to_type not in METRIC_CONVERSION:
												raise ValueError(
												    F"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
												    + ''', '''.join(_lowercase       )       )
						return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
						import doctest

						doctest.testmod()










"""simple docstring"""




import logging

from transformers.configuration_utils import PretrainedConfig


UpperCamelCase_									=logging.getLogger(__name__)




class 			_a						(				_lowerCAmelCase    ):
				UpperCamelCase								=   '''masked_bert'''






				def __init__(			self		:   Optional[Any],			lowerCAmelCase__		:   Dict=3_0_5_2_2,			lowerCAmelCase__		:   int=7_6_8,			lowerCAmelCase__		:   Tuple=1_2,			lowerCAmelCase__		:   Optional[Any]=1_2,			lowerCAmelCase__		:   Tuple=3_0_7_2,			lowerCAmelCase__		:   Optional[int]="gelu",			lowerCAmelCase__		:   Tuple=0.1,			lowerCAmelCase__		:   Tuple=0.1,			lowerCAmelCase__		:   Any=5_1_2,			lowerCAmelCase__		:   Optional[int]=2,			lowerCAmelCase__		:   Optional[int]=0.02,			lowerCAmelCase__		:   Union[str, Any]=1e-1_2,			lowerCAmelCase__		:   Union[str, Any]=0,			lowerCAmelCase__		:   Dict="topK",			lowerCAmelCase__		:   Union[str, Any]="constant",			lowerCAmelCase__		:   Union[str, Any]=0.0,			**lowerCAmelCase__		:   Any,			)     ->				List[Any]:




										'''simple docstring'''



										super().__init__(pad_token_id=lowerCAmelCase__,			**lowerCAmelCase__							)

										_UpperCamelCase      : Optional[Any]         =   vocab_size
										_UpperCamelCase      : int         =   hidden_size
										_UpperCamelCase      : List[Any]         =   num_hidden_layers
										_UpperCamelCase      : Any         =   num_attention_heads
										_UpperCamelCase      : List[str]         =   hidden_act
										_UpperCamelCase      : Tuple         =   intermediate_size
										_UpperCamelCase      : int         =   hidden_dropout_prob
										_UpperCamelCase      : str         =   attention_probs_dropout_prob
										_UpperCamelCase      : Optional[int]         =   max_position_embeddings
										_UpperCamelCase      : str         =   type_vocab_size
										_UpperCamelCase      : Optional[Any]         =   initializer_range
										_UpperCamelCase      : List[str]         =   layer_norm_eps
										_UpperCamelCase      : int         =   pruning_method
										_UpperCamelCase      : Union[str, Any]         =   mask_init
										_UpperCamelCase      : Any         =   mask_scale



