code: def random_riemannian_normal_belongs_test_data(self):
      data = []
      for random_mean, precision_type in zip(
          [True, False, False],
          [None, float, "array"],
      ):
          for n_samples in self.N_RANDOM_POINTS:
              data.append(
                  dict(
                      n_samples=n_samples,
                      random_mean=random_mean,
                      precision_type=precision_type,
                  )
              )
  
      return self.generate_tests(data)
  
imports: import random
  import pytest
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import LevelSetTestData
  from .manifold import ManifoldTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 6 for calling the HypersphereExtrinsicTestData obj's underlying member method code with example usage: obj.random_riemannian_normal_belongs_test_data() and returns: self