class_docstr: Discrete (with step) uniform float distribution.
  
  Parameters
  ----------
  lower: float
      Inclusive lower bound of distribution.
  upper: float
      Inclusive upper bound of distribution.
  q: float = None:
      Step. If None, will be equal to UniformDistribution.
  
  Warnings
  --------
  - Due to scikit-optimize not supporting discrete distributions,
  `get_skopt()` will return a standard uniform distribution.
docstr: get distributions from base libraries such as scipy, numpy, etc.
docstr_tok: ["get","distributions","from","base","libraries","such","as","scipy",",","numpy",",","etc","."]
code: def get_base(self):
      """get distributions from base libraries such as scipy, numpy, etc."""
      raise NotImplementedError(
          "DiscreteUniformDistribution for base library has not been implemented yet."
      )
  
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 2 for calling the DiscreteUniformDistribution obj's underlying member method code with example usage: obj.get_base() without return types