code: def testCDFNoBatch(self):
      histogram = [0.1, 0.2, 0.3, 0.4]
      event = 2
      expected_cdf = 0.3
      dist = categorical.Categorical(probs=histogram)
      cdf_op = dist.cdf(event)
  
      with self.cached_session():
          self.assertAlmostEqual(cdf_op.eval(), expected_cdf)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.distributions import categorical
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.ops.distributions import normal
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the CategoricalTest obj's underlying member method code with example usage: obj.testCDFNoBatch() without return types