code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.Pareto
      self.scipy_dist = stats.pareto
  
      self.test_targets = set(
          [
              "batch_shape",
              "entropy",
              "event_shape",
              "log_prob",
              "mean",
              "support",
              "variance",
          ]
      )
  
      scale = numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
          numpy.float32
      )
      alpha = numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
          numpy.float32
      )
      scale, alpha = numpy.asarray(scale), numpy.asarray(alpha)
      self.params = {"scale": scale, "alpha": alpha}
      self.scipy_params = {"scale": scale, "b": alpha}
  
      self.support = "[scale, inf]"
  
file_path: chainer/tests/chainer_tests/distributions_tests/test_pareto.py
imports: import numpy
  from chainer import cuda
  from chainer import distributions
  from chainer import testing
label_desc: Use image node_id 1 for calling the TestPareto obj's underlying member method code with example usage: obj.setUp_configure() without return types