code: def mean_curvature_vector_norm_test_data(self):
      radius = 1.0
      expected = gs.array(1 / radius)
      data = [
          dict(base_point=gs.array([0.1]), expected=expected),
          dict(base_point=gs.array([0.88]), expected=expected),
      ]
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .riemannian_metric import RiemannianMetricComparisonTestData, RiemannianMetricTestData
label_desc: Use image node_id 4 for calling the CircleIntrinsicMetricTestData obj's underlying member method code with example usage: obj.mean_curvature_vector_norm_test_data() and returns: self