code: def testHypersphereVolume(self, radius):
      # pyformat: disable
      scale = tf.linalg.LinearOperatorFullMatrix(
          self._input([[1.0, -0.5], [-0.5, 1.0]]), is_non_singular=True
      )
      # pyformat: enable
      dist = mvst.MultivariateStudentTLinearOperator(
          loc=self._input([1.0, 1.0]),
          df=self._input(4.0),
          scale=scale,
          validate_args=True,
      )
      self.run_test_sample_consistent_log_prob(
          sess_run_fn=self.evaluate,
          dist=dist,
          radius=radius,
          num_samples=int(5e6),
          rtol=0.05,
      )
  
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 22 for calling the MultivariateStudentTTestFloat32StaticShape obj's underlying member method code with example usage: obj.testHypersphereVolume(radius) without return types