class_docstr: Half-Cauchy prior.
class_docstr_tok: ["Half-Cauchy","prior","."]
code: def expand(self, batch_shape):
      return HalfCauchyPrior(self.scale.expand(batch_shape))
  
imports: import torch
  from torch.distributions import Gamma, HalfCauchy, HalfNormal, LogNormal, MultivariateNormal, Normal, Uniform
  from torch.nn import Module
  from .prior import Prior
  from .utils import _bufferize_attributes, _del_attributes
label_desc: Use image node_id 2 for calling the HalfCauchyPrior obj's underlying member method code with example usage: obj.expand(batch_shape) and returns: HalfCauchyPrior