code: def sample_for_test(self):
      smp = numpy.random.normal(size=self.shape + (3,)).astype(
          numpy.float32
      )
      smp = numpy.exp(smp)
      smp /= numpy.expand_dims(smp.sum(axis=-1), axis=-1)
      return smp
  
imports: import numpy
  from chainer import distributions
  from chainer import testing
label_desc: Use image node_id 2 for calling the TestDirichlet obj's underlying member method code with example usage: obj.sample_for_test() and returns: smp