code: def testMultinomialCovariance(self):
      with self.cached_session():
          n = 5.0
          p = [0.1, 0.2, 0.7]
          dist = multinomial.Multinomial(total_count=n, probs=p)
          expected_covariances = [
              [9.0 / 20, -1 / 10, -7 / 20],
              [-1 / 10, 4 / 5, -7 / 10],
              [-7 / 20, -7 / 10, 21 / 20],
          ]
          self.assertEqual((3, 3), dist.covariance().get_shape())
          self.assertAllClose(expected_covariances, dist.covariance())
  
imports: 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_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import multinomial
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testMultinomialCovariance() without return types