code: def make_laplace_dist(self, is_gpu=False):
      loc = numpy.random.uniform(-1, 1, self.shape).astype(
          numpy.float32
      )
      scale = numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
          numpy.float32
      )
      params = self.encode_params({"loc": loc, "scale": scale}, is_gpu)
      return distributions.Laplace(**params)
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import distributions
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 11 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.make_laplace_dist(is_gpu) and returns: distributions