code: def testCovarianceSomeUndefinedNaNAllowed(self):
      scale = tf.linalg.LinearOperatorDiag(
          self._input([2.0, 2.0]), is_non_singular=True
      )
      dist = mvst.MultivariateStudentTLinearOperator(
          loc=self._input([0.0, 0.0]),
          df=self._input([2.0, 1.0]),
          scale=scale,
          allow_nan_stats=True,
          validate_args=True,
      )
      cov = self.evaluate(dist.covariance())
      self.assertAllClose(np.full([2, 2], np.inf), cov[0])
      self.assertAllClose(np.full([2, 2], np.nan), cov[1])
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import multivariate_student_t
  from tensorflow_probability.python.distributions import student_t
  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 11 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testCovarianceSomeUndefinedNaNAllowed() without return types