code: def make_dirichlet_dist(self, is_gpu=False):
      alpha = numpy.random.uniform(0.5, 10, self.shape + (3,)).astype(
          numpy.float32
      )
      params = self.encode_params({"alpha": alpha}, is_gpu)
      return distributions.Dirichlet(**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 6 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.make_dirichlet_dist(is_gpu) and returns: distributions