code: def belongs_test_data(self):
      domain = gs.linspace(0, 1, num=50)
      points = gs.squeeze(
          gs.array(
              [
                  gaussian(domain, a, 0.1)
                  for a in gs.linspace(0.2, 0.8, 5)
              ]
          )
      )
  
      data = [
          dict(point=gaussian(domain, 0.2, 0.1), expected=True),
          dict(
              point=gs.sin(gs.linspace(-gs.pi, gs.pi, 50)),
              expected=False,
          ),
          dict(
              point=points,
              expected=gs.ones(points.shape[0], dtype=bool),
          ),
      ]
  
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_geometry/data/functions.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .manifold import ManifoldTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 1 for calling the HilbertSphereSmokeTestData obj's underlying member method code with example usage: obj.belongs_test_data() and returns: self