code: def testLaplaceSample(self):
      loc_v = 4.0
      scale_v = 3.0
      loc = tf.constant(loc_v)
      scale = tf.constant(scale_v)
      n = 100000
      dist = laplace.Laplace(loc=loc, scale=scale, validate_args=True)
      samples = dist.sample(n, seed=test_util.test_seed())
      sample_values = self.evaluate(samples)
      self.assertEqual(samples.shape, (n,))
      self.assertEqual(sample_values.shape, (n,))
      self.assertAllClose(
          sample_values.mean(),
          sp_stats.laplace.mean(loc_v, scale=scale_v),
          rtol=0.05,
          atol=0.0,
      )
      self.assertAllClose(
          sample_values.var(),
          sp_stats.laplace.var(loc_v, scale=scale_v),
          rtol=0.05,
          atol=0.0,
      )
      self.assertTrue(self._kstest(loc_v, scale_v, sample_values))
  
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 laplace
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 14 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceSample() without return types