code: def test_relu_threshold(self):
      # Define the input tensor
      x = np.array([-10, -5, 0.0, 5, 10])
  
      # Test with only threshold
      result_threshold = activations.relu(x, threshold=5.0)
      expected_threshold = np.array([-0.0, -0.0, 0.0, 0.0, 10.0])
      self.assertAllClose(
          result_threshold, expected_threshold, rtol=1e-05
      )
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 24 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_relu_threshold() without return types