code: def testLaplaceSample(self):
      loc_v = 4.0
      scale_v = 3.0
      loc = constant_op.constant(loc_v)
      scale = constant_op.constant(scale_v)
      n = 100000
      laplace = laplace_lib.Laplace(loc=loc, scale=scale)
      samples = laplace.sample(n, seed=137)
      sample_values = self.evaluate(samples)
      self.assertEqual(samples.get_shape(), (n,))
      self.assertEqual(sample_values.shape, (n,))
      if not stats:
          return
      self.assertAllClose(
          sample_values.mean(),
          stats.laplace.mean(loc_v, scale=scale_v),
          rtol=0.05,
          atol=0.0,
      )
      self.assertAllClose(
          sample_values.var(),
          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 importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import laplace
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 13 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceSample() without return types