code: def test_mean_var(self):
      poisson_mean, poisson_var = poisson.mean(12), poisson.var(12)
      zipoisson_mean = zipoisson.mean(12, 0)
      zipoisson_var = zipoisson.var(12, 0)
      assert_allclose(poisson_mean, zipoisson_mean, rtol=1e-10)
      assert_allclose(poisson_var, zipoisson_var, rtol=1e-10)
  
      m = np.array([1, 5, 10])
      poisson_mean, poisson_var = poisson.mean(m), poisson.var(m)
      zipoisson_mean = zipoisson.mean(m, 0)
      zipoisson_var = zipoisson.var(m, 0.0)
      assert_allclose(poisson_mean, zipoisson_mean, rtol=1e-10)
      assert_allclose(poisson_var, zipoisson_var, rtol=1e-10)
  
imports: import numpy
  from numpy.testing import assert_allclose, assert_equal
  from scipy import stats
  from scipy.stats import poisson, nbinom
  from statsmodels.tools.tools import Bunch
  from statsmodels.distributions.discrete import genpoisson_p, truncatedpoisson, truncatednegbin, zipoisson, zinegbin, zigenpoisson, DiscretizedCount, DiscretizedModel
label_desc: Use image node_id 7 for calling the TestZIPoisson obj's underlying member method code with example usage: obj.test_mean_var() without return types