class_docstr: Uniform randomly sampled integer Hyperparameter object.
class_docstr_tok: ["Uniform","randomly","sampled","integer","Hyperparameter","object","."]
docstr: Return a list of all the valid values of the Parameter. If ``self.step_size`` is not defined, return 100 points
  between minmax values.
  
  :return: list of dicts {name: int}
docstr_tok: ["Return","a","list","of","all","the","valid","values","of","the","Parameter",".","If","``","self.step_size","``","is","not","defined",",","return","100","points","between","minmax","values",".",":","return",":","list","of","dicts","{","name",":","int","}"]
code: def to_list(self):
      # type: () -> Sequence[Mapping[str, int]]
      """
      Return a list of all the valid values of the Parameter. If ``self.step_size`` is not defined, return 100 points
      between minmax values.
  
      :return: list of dicts {name: int}
      """
      values = list(
          range(self.min_value, self.max_value, self.step_size)
      )
      if self.include_max and (
          not values or values[-1] < self.max_value
      ):
          values.append(self.max_value)
      return [{self.name: v} for v in values]
  
imports: import sys
  from itertools import product
  from random import Random
  from typing import Mapping, Any, Sequence, Optional, Union
label_desc: Use image node_id 3 for calling the UniformIntegerParameterRange obj's underlying member method code with example usage: obj.to_list() and returns: unknown