code: def testP(self):
      p = [0.2, 0.8]
      dist = oc.OneHotCategorical(probs=p, validate_args=True)
      self.assertAllClose(p, self.evaluate(dist.probs))
      self.assertAllEqual([2], dist.logits_parameter().shape)
  
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 3 for calling the OneHotCategoricalTest obj's underlying member method code with example usage: obj.testP() without return types