code: def make_beta_dist(self, is_gpu=False):
      a = numpy.random.uniform(0.5, 10, self.shape).astype(
          numpy.float32
      )
      b = numpy.random.uniform(0.5, 10, self.shape).astype(
          numpy.float32
      )
      params = self.encode_params({"a": a, "b": b}, is_gpu)
      return distributions.Beta(**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 4 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.make_beta_dist(is_gpu) and returns: distributions