code: def random_riemannian_normal_frechet_mean_test_data(self):
      data = []
      n_samples = 5000
      for random_mean in [True, False]:
          data.append(
              dict(n_samples=n_samples, random_mean=random_mean)
          )
  
      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 8 for calling the HypersphereExtrinsicTestData obj's underlying member method code with example usage: obj.random_riemannian_normal_frechet_mean_test_data() and returns: self