class_docstr: Categorical distribution.
  
  Parameters
  ----------
  values: list or other iterable
      Possible values.
  
  Warnings
  --------
  - `None` is not supported  as a value for ConfigSpace.
code: def get_skopt(self):
      import skopt.space
  
      return skopt.space.Categorical(
          [x if isinstance(x, Hashable) else None for x in self.values],
          transform="identity",
      )
  
imports: from typing import Dict, Optional
  from scipy.stats import loguniform, randint, uniform
  from copy import copy
  import numpy
label_desc: Use image node_id 3 for calling the CategoricalDistribution obj's underlying member method code with example usage: obj.get_skopt() and returns: skopt