code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.LogNormal
      self.scipy_dist = stats.lognorm
  
      self.test_targets = set(
          [
              "batch_shape",
              "entropy",
              "event_shape",
              "log_prob",
              "mean",
              "sample",
              "support",
              "variance",
          ]
      )
  
      mu = utils.force_array(
          numpy.random.uniform(-1, 1, self.shape).astype(numpy.float32)
      )
      sigma = utils.force_array(
          numpy.exp(numpy.random.uniform(-1, 0, self.shape)).astype(
              numpy.float32
          )
      )
      self.params = {"mu": mu, "sigma": sigma}
      self.scipy_params = {"s": sigma, "scale": numpy.exp(mu)}
  
      self.support = "positive"
  
file_path: chainer/tests/chainer_tests/distributions_tests/test_log_normal.py
imports: import numpy
  from chainer import distributions
  from chainer import testing
  from chainer import utils
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