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.
code: def __repr__(self):
      return f"DiscreteUniformDistribution(lower={self.lower}, upper={self.upper}, q={self.q})"
  
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 8 for calling the DiscreteUniformDistribution obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str