code: def test_num_choices(self) -> None:
      parameters = {
          "a": RangeParameter(
              "a", lower=1, upper=3, parameter_type=ParameterType.FLOAT
          ),
          "b": RangeParameter(
              "b", lower=1, upper=2, parameter_type=ParameterType.INT
          ),
          "c": ChoiceParameter(
              "c",
              parameter_type=ParameterType.STRING,
              values=["x1", "x2", "x3"],
          ),
          "d": RangeParameter(
              "d", lower=1, upper=9, parameter_type=ParameterType.INT
          ),
          "e": RangeParameter(
              "e", lower=3, upper=5, parameter_type=ParameterType.INT
          ),
      }
      search_space = SearchSpace(
          parameters=parameters.values()
      )  # pyre-ignore[6]
  
      # Don't specify max_choices (should be set to inf)
      t = IntRangeToChoice(search_space=search_space)
      new_search_space = t.transform_search_space(
          search_space=search_space
      )
      self.assertEqual(
          len(new_search_space.parameters), len(parameters)
      )
      self.assertEqual(t.max_choices, float("inf"))
      self.assertEqual(
          new_search_space.parameters["a"], parameters["a"]
      )
      self.assertEqual(
          new_search_space.parameters["b"],
          ChoiceParameter(
              "b",
              values=[1, 2],
              is_ordered=True,
              parameter_type=ParameterType.INT,
          ),
      )
      self.assertEqual(
          new_search_space.parameters["c"], parameters["c"]
      )
      self.assertEqual(
          new_search_space.parameters["d"],
          ChoiceParameter(
              "d",
              values=list(range(1, 10)),  # pyre-ignore
              is_ordered=True,
              parameter_type=ParameterType.INT,
          ),
      )
      self.assertEqual(
          new_search_space.parameters["e"],
          ChoiceParameter(
              "e",
              values=[3, 4, 5],
              is_ordered=True,
              parameter_type=ParameterType.INT,
          ),
      )
  
      # Set max_choices so parameter d isn't transformed
      t = IntRangeToChoice(
          search_space=search_space, config={"max_choices": 5}
      )
      new_search_space = t.transform_search_space(
          search_space=search_space
      )
      self.assertEqual(
          len(new_search_space.parameters), len(parameters)
      )
      self.assertEqual(t.max_choices, 5)
      self.assertEqual(
          new_search_space.parameters["a"], parameters["a"]
      )
      self.assertEqual(
          new_search_space.parameters["b"],
          ChoiceParameter(
              "b",
              values=[1, 2],
              is_ordered=True,
              parameter_type=ParameterType.INT,
          ),
      )
      self.assertEqual(
          new_search_space.parameters["c"], parameters["c"]
      )
      self.assertEqual(
          new_search_space.parameters["d"], parameters["d"]
      )
      self.assertEqual(
          new_search_space.parameters["e"],
          ChoiceParameter(
              "e",
              values=[3, 4, 5],
              is_ordered=True,
              parameter_type=ParameterType.INT,
          ),
      )
  
file_path: Ax/ax/modelbridge/transforms/tests/test_int_range_to_choice_transform.py
imports: from copy import deepcopy
  from ax.core.observation import ObservationFeatures
  from ax.core.parameter import ChoiceParameter, ParameterType, RangeParameter
  from ax.core.search_space import RobustSearchSpace, SearchSpace
  from ax.exceptions.core import UnsupportedError
  from ax.modelbridge.transforms.int_range_to_choice import IntRangeToChoice
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.core_stubs import get_robust_search_space
label_desc: Use image node_id 6 for calling the IntRangeToChoiceTransformTest obj's underlying member method code with example usage: obj.test_num_choices() without return types