code: def domain_map(cls, F, low, width):
      high = low + softplus(F, width)
      return low.squeeze(axis=-1), high.squeeze(axis=-1)
  
imports: from functools import partial
  from typing import Dict, List, Optional, 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 UniformOutput obj's underlying member method code with example usage: obj.domain_map(cls, F, low, width) and returns: low,  high