code: def test_float_values_property_with_step():
      assert list(hp_module.Float("float", 2, 8, 2).values) == [
          2.0,
          4.0,
          6.0,
          8.0,
      ]
      assert isinstance(
          list(hp_module.Float("float", 2, 8, 2).values)[0], float
      )
      assert list(
          hp_module.Float(
              "float", 0.1, 100.0, 10, sampling="log"
          ).values
      ) == [
          0.1,
          1.0,
          10.0,
          100.0,
      ]
  
file_path: keras-tuner/keras_tuner/engine/hyperparameters/hp_types/float_hp_test.py
imports: import numpy
  from keras_tuner import protos
  from keras_tuner.engine import hyperparameters
label_desc: Use image node_id 10 for calling a global function with example usage: test_float_values_property_with_step() without return types