code: def testBatchShape(self):
      uniform = spherical_uniform.SphericalUniform(
          dimension=4,
          batch_shape=[2, 1],
          dtype=self.dtype,
          validate_args=True,
          allow_nan_stats=False,
      )
      samples = uniform.sample(5, seed=test_util.test_seed())
      self.assertEqual([5, 2, 1, 4], samples.shape)
      test_sample = np.array(
          [[1.0, 0.0, 0.0, 0.0]] * 5, dtype=self.dtype
      )
      log_prob = uniform.log_prob(test_sample)
      self.assertEqual([2, 5], log_prob.shape)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import spherical_uniform
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.stats import sample_stats
label_desc: Use image node_id 21 for calling the _SphericalUniformTest obj's underlying member method code with example usage: obj.testBatchShape() without return types