code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.Normal
      self.scipy_dist = stats.norm
  
      self.test_targets = set(
          [
              "batch_shape",
              "cdf",
              "entropy",
              "event_shape",
              "icdf",
              "log_cdf",
              "log_prob",
              "log_survival",
              "mean",
              "prob",
              "sample",
              "stddev",
              "support",
              "survival",
              "variance",
          ]
      )
  
      loc = utils.force_array(
          numpy.random.uniform(-1, 1, self.shape).astype(numpy.float32)
      )
      if self.log_scale_option:
          log_scale = utils.force_array(
              numpy.random.uniform(-1, 1, self.shape).astype(
                  numpy.float32
              )
          )
          scale = numpy.exp(log_scale)
          self.params = {"loc": loc, "log_scale": log_scale}
          self.scipy_params = {"loc": loc, "scale": scale}
      else:
          scale = utils.force_array(
              numpy.exp(numpy.random.uniform(-1, 1, self.shape)).astype(
                  numpy.float32
              )
          )
          self.params = {"loc": loc, "scale": scale}
          self.scipy_params = {"loc": loc, "scale": scale}
  
file_path: chainer/tests/chainer_tests/distributions_tests/test_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 TestNormal obj's underlying member method code with example usage: obj.setUp_configure() without return types