code: def test_relu_negative_slope(self):
      # Define the input tensor
      x = np.array([-10, -5, 0.0, 5, 10])
  
      # Test with only negative_slope
      result_negative_slope = activations.relu(x, negative_slope=0.5)
      expected_negative_slope = np.array([-5.0, -2.5, 0.0, 5.0, 10.0])
      self.assertAllClose(
          result_negative_slope, expected_negative_slope, rtol=1e-05
      )
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 22 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_relu_negative_slope() without return types