code: def testVarianceStdSomeUndefinedNaNAllowed(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,
      )
      var = self.evaluate(dist.variance())
      std = self.evaluate(dist.stddev())
      self.assertAllClose([np.inf, np.inf], var[0])
      self.assertAllClose([np.nan, np.nan], var[1])
      self.assertAllClose([np.inf, np.inf], std[0])
      self.assertAllClose([np.nan, np.nan], std[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 14 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testVarianceStdSomeUndefinedNaNAllowed() without return types