code: def test_relu_combined_threshold_and_max_value(self):
      # Define the input tensor
      x = np.array([-10, -5, 0.0, 5, 10])
  
      # Test with threshold and max_value
      result_combined = activations.relu(
          x, threshold=5.0, max_value=5.0
      )
      expected_combined = np.array([0.0, 0.0, 0.0, 0.0, 5.0])
      self.assertAllClose(
          result_combined, expected_combined, rtol=1e-05
      )
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 25 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_relu_combined_threshold_and_max_value() without return types