code: def random_von_mises_fisher_sample_mean_test_data(self):
      n_samples = 1000
      data = []
      for _ in range(2):
          # to test different kappa
          data.append(dict(n_samples=n_samples))
  
      data.append(
          dict(
              n_samples=n_samples,
              random_mu=False,
          )
      )
  
      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 2 for calling the HypersphereExtrinsicTestData obj's underlying member method code with example usage: obj.random_von_mises_fisher_sample_mean_test_data() and returns: self