code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.Dirichlet
      self.scipy_dist = stats.dirichlet
  
      self.test_targets = set(
          [
              "batch_shape",
              "entropy",
              "event_shape",
              "mean",
              "sample",
              "support",
              "variance",
          ]
      )
  
      alpha = numpy.random.uniform(0, 10, self.shape + (3,)).astype(
          numpy.float32
      )
      self.params = {"alpha": alpha}
      self.scipy_params = {"alpha": alpha}
      self.support = "[0, 1]"
      self.event_shape = (3,)
  
imports: import numpy
  from chainer import distributions
  from chainer import testing
label_desc: Use image node_id 1 for calling the TestDirichlet obj's underlying member method code with example usage: obj.setUp_configure() without return types