code: def testSamplingSmallDfNoNaN(self):
      scale = tf.linalg.LinearOperatorDiag(
          self._input([1.0, 1.0]), is_non_singular=True
      )
      dist = mvst.MultivariateStudentTLinearOperator(
          loc=self._input([0.0, 0.0]),
          df=self._input([1e-1, 1e-5, 1e-10, 1e-20]),
          scale=scale,
          validate_args=True,
      )
      samples = dist.sample(int(2e5), seed=test_util.test_seed())
      log_probs = dist.log_prob(samples)
      samples, log_probs = self.evaluate([samples, log_probs])
      self.assertTrue(np.all(np.isfinite(samples)))
      self.assertTrue(np.all(np.isfinite(log_probs)))
  
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 20 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testSamplingSmallDfNoNaN() without return types