code: def test_prod(self):
      X = np.linspace(0, 1, 10)[:, None]
      with pm.Model() as model:
          mean1 = pm.gp.mean.Linear(coeffs=2, intercept=0.5)
          mean2 = pm.gp.mean.Constant(2)
          mean = mean1 * mean2 * mean2
      M = mean(X).eval()
      npt.assert_allclose(M[1], 0.7222 * 2 * 2, atol=1e-3)
  
file_path: pymc/tests/gp/test_mean.py
imports: import numpy
  import numpy.testing
  import pymc
label_desc: Use image node_id 2 for calling the TestAddProdMean obj's underlying member method code with example usage: obj.test_prod() without return types