code: def testEventSizeOfOne(self):
      d = oc.OneHotCategorical(
          probs=tf1.placeholder_with_default([1.0], shape=None),
          validate_args=True,
      )
      self.assertAllEqual(
          np.ones((5, 3, 1), dtype=np.int32),
          self.evaluate(d.sample([5, 3], seed=test_util.test_seed())),
      )
      self.assertAllClose(
          [0.0, 0.0, 0.0, 0.0, 0.0],
          self.evaluate(d.log_prob(tf.ones((5, 1)))),
      )
      self.assertAllClose(0.0, self.evaluate(d.entropy()))
      self.assertAllClose([0.0], self.evaluate(d.variance()))
      self.assertAllClose([[0.0]], self.evaluate(d.covariance()))
      self.assertAllClose([1.0], self.evaluate(d.mode()))
      self.assertAllClose([1.0], self.evaluate(d.mean()))
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import onehot_categorical
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 13 for calling the OneHotCategoricalTest obj's underlying member method code with example usage: obj.testEventSizeOfOne() without return types