code: def testLogNormalSample(self):
      loc, scale = 1.5, 0.4
      dist = lognormal.LogNormal(
          loc=loc, scale=scale, validate_args=True
      )
      samples = self.evaluate(
          dist.sample(6000, seed=test_util.test_seed())
      )
      self.assertAllClose(
          np.mean(samples), self.evaluate(dist.mean()), atol=0.1
      )
      self.assertAllClose(
          np.std(samples), self.evaluate(dist.stddev()), atol=0.1
      )
  
file_path: probability/tensorflow_probability/python/distributions/lognormal_test.py
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the LogNormalTest obj's underlying member method code with example usage: obj.testLogNormalSample() without return types