code: def testSample(self):
      mu = self._rng.rand(2)
      chol, sigma = self._random_chol(2, 2)
      n = tf.constant(100000)
      mvn = mvn_tril.MultivariateNormalTriL(
          mu, chol, validate_args=True
      )
      samples = mvn.sample(n, seed=test_util.test_seed())
      sample_values = self.evaluate(samples)
      self.assertEqual(samples.shape, [int(100e3), 2])
      self.assertAllClose(sample_values.mean(axis=0), mu, atol=1e-2)
      self.assertAllClose(
          np.cov(sample_values, rowvar=0), sigma, atol=0.06
      )
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the MultivariateNormalTriLTest obj's underlying member method code with example usage: obj.testSample() without return types