code: def test_float_linear_value_to_prob_no_step():
      rg = hp_module.Float("rg", min_value=1.0, max_value=11.0)
      assert abs(rg.value_to_prob(4.5) - 0.35) < 1e-4
      assert rg.prob_to_value(0.35) == 4.5
  
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 2 for calling a global function with example usage: test_float_linear_value_to_prob_no_step() without return types