code: def domain_map(cls, F, mu, b):
      b = 0.01 * F.ones_like(b)
      return mu.squeeze(axis=-1), b.squeeze(axis=-1)
  
imports: from typing import Dict, List, Tuple
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF, softplus
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 1 for calling the LaplaceFixedVarianceOutput obj's underlying member method code with example usage: obj.domain_map(cls, F, mu, b) and returns: mu,  b