code: def testSamplingConsistency(self):
      # pyformat: disable
      scale = tf.linalg.LinearOperatorFullMatrix(
          self._input([[2.0, -1.0], [-1.0, 2.0]]), is_non_singular=True
      )
      # pyformat: enable
      dist = mvst.MultivariateStudentTLinearOperator(
          loc=self._input([1.0, 2.0]),
          df=self._input(5.0),
          scale=scale,
          validate_args=True,
      )
      self.run_test_sample_consistent_mean_covariance(
          num_samples=int(1e6), sess_run_fn=self.evaluate, dist=dist
      )
  
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 17 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testSamplingConsistency() without return types