code: def test_relu_combined_all_parameters(self):
      # Define the input tensor
      x = np.array([-10, -5, 0.0, 5, 10])
  
      # Test with negative_slope, max_value, and threshold
      result_combined = activations.relu(
          x, negative_slope=0.5, max_value=5.0, threshold=5.0
      )
      expected_combined = np.array([-7.5, -5.0, -2.5, 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 26 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_relu_combined_all_parameters() without return types