code: def test_relu_max_value(self):
      # Define the input tensor
      x = np.array([-10, -5, 0.0, 5, 10])
  
      # Test with only max_value
      result_max_value = activations.relu(x, max_value=5.0)
      expected_max_value = np.array([0.0, 0.0, 0.0, 5.0, 5.0])
      self.assertAllClose(
          result_max_value, expected_max_value, rtol=1e-05
      )
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 23 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_relu_max_value() without return types