docstr: Tests that the default value of mean is 0.
docstr_tok: ["Tests","that","the","default","value","of","mean","is","0","."]
code: def test_mean_default_halton(self):
      """Tests that the default value of mean is 0."""
      covar = np.array([[1.0, 0.1], [0.1, 1.0]])
      # The number of initial points of the Sobol sequence to skip
      skip = 1000
      sample = self.evaluate(
          tff_rnd.mv_normal_sample(
              [10000],
              covariance_matrix=covar,
              random_type=tff_rnd.RandomType.HALTON_RANDOMIZED,
              skip=skip,
          )
      )
      np.testing.assert_array_equal(sample.shape, [10000, 2])
      self.assertArrayNear(np.mean(sample, axis=0), [0.0, 0.0], 1e-2)
      self.assertArrayNear(
          np.cov(sample, rowvar=False).reshape([-1]),
          covar.reshape([-1]),
          2e-2,
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 9 for calling the RandomTest obj's underlying member method code with example usage: obj.test_mean_default_halton() without return types