code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.Exponential
      self.scipy_dist = stats.expon
  
      self.test_targets = set(
          [
              "batch_shape",
              "cdf",
              "entropy",
              "event_shape",
              "icdf",
              "log_prob",
              "mean",
              "sample",
              "support",
              "variance",
          ]
      )
  
      lam = numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
          numpy.float32
      )
      lam = numpy.asarray(lam)
      self.params = {"lam": lam}
      self.scipy_params = {"scale": 1 / lam}
  
      self.support = "positive"
  
imports: import numpy
  from chainer import distributions
  from chainer import testing
label_desc: Use image node_id 1 for calling the TestLogNormal obj's underlying member method code with example usage: obj.setUp_configure() without return types