class_docstr: Soft Tophat prior as it used in the original spearmint code.
  
  Parameters
  ----------
  lower_bound : float
      Lower bound of the prior. In original scale.
  upper_bound : float
      Upper bound of the prior. In original scale.
  exponent : float
      Exponent of the prior.
  seed : int, defaults to 0
code: def __repr__(self) -> str:
      return "SoftTopHatPrior(lower_bound=%f, upper_bound=%f)" % (
          self._lower_bound,
          self._upper_bound,
      )
  
imports: from __future__ import annotations
  from typing import Any
  import warnings
  import numpy
  from smac.model.gaussian_process.priors.abstract_prior import AbstractPrior
label_desc: Use image node_id 2 for calling the SoftTopHatPrior obj's underlying member method code with example usage: obj.__repr__() and returns: unknown