code: def VerifyCovariance(self, dim):
      num_samples = int(6e4)
      uniform = spherical_uniform.SphericalUniform(
          batch_shape=[2, 1],
          dimension=dim,
          dtype=self.dtype,
          validate_args=True,
          allow_nan_stats=False,
      )
      samples = uniform.sample(num_samples, seed=test_util.test_seed())
      sample_cov = sample_stats.covariance(samples, sample_axis=0)
      sample_variance = sample_stats.variance(samples, sample_axis=0)
      true_cov, sample_cov, sample_variance = self.evaluate(
          [uniform.covariance(), sample_cov, sample_variance]
      )
      self.assertAllClose(
          np.ones_like(sample_variance) / dim,
          sample_variance,
          rtol=2e-2,
      )
      # The off-diagonal entries should be close to zero.
      self.assertAllClose(true_cov, sample_cov, rtol=1e-2, atol=4e-3)
  
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 11 for calling the _SphericalUniformTest obj's underlying member method code with example usage: obj.VerifyCovariance(dim) without return types