code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.Cauchy
      self.scipy_dist = stats.cauchy
  
      self.test_targets = set(
          [
              "batch_shape",
              "cdf",
              "entropy",
              "event_shape",
              "icdf",
              "log_prob",
              "support",
          ]
      )
  
      loc = utils.force_array(
          numpy.random.uniform(-1, 1, self.shape).astype(numpy.float32)
      )
      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}
  
imports: import numpy
  from chainer.backends import cuda
  from chainer import distributions
  from chainer import testing
  from chainer.testing import array
  from chainer.testing import attr
  from chainer import utils
label_desc: Use image node_id 1 for calling the TestCauchy obj's underlying member method code with example usage: obj.setUp_configure() without return types