code: def setUp_configure(self):
      from scipy import stats
  
      self.dist = distributions.OneHotCategorical
      self.scipy_dist = stats.multinomial
  
      self.test_targets = set(
          ["batch_shape", "event_shape", "mean", "sample"]
      )
  
      n = numpy.ones(self.shape).astype(numpy.int32)
      p = numpy.random.normal(size=self.shape + (self.k,)).astype(
          numpy.float32
      )
      p = numpy.exp(p)
      p /= p.sum(axis=-1, keepdims=True)
      self.n, self.p = n, p
      self.params = {"p": p}
      self.scipy_params = {"n": n, "p": p}
  
      self.continuous = False
      self.event_shape = (self.k,)
  
file_path: chainer/tests/chainer_tests/distributions_tests/test_one_hot_categorical.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 TestOneHotCategorical obj's underlying member method code with example usage: obj.setUp_configure() without return types