code: def testMode(self):
      dist = mvst.MultivariateStudentTLinearOperator(
          loc=[0.0, 0.0],
          df=2.0,
          scale=tf.linalg.LinearOperatorDiag(
              [[1.0, 1.0]], is_non_singular=True
          ),
          validate_args=True,
      )
      mode = self.evaluate(dist.mode())
      self.assertAllClose([[0.0, 0.0]], mode)
  
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 9 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testMode() without return types