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 get_tune(self):
      from ray import tune
  
      return tune.quniform(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 7 for calling the DiscreteUniformDistribution obj's underlying member method code with example usage: obj.get_tune() and returns: tune