code: def testP(self):
      p = [0.2, 0.8]
      dist = categorical.Categorical(probs=p, validate_args=True)
      self.assertAllClose(p, self.evaluate(dist.probs))
      self.assertAllEqual([2], dist.probs.shape)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 1 for calling the CategoricalTest obj's underlying member method code with example usage: obj.testP() without return types