code: def ricci_tensor_test_data(self):
      theta = gs.pi / 3
      base_point = gs.array([theta, gs.pi / 7])
      expected = gs.array([[1.0, 0.0], [0.0, gs.sin(theta) ** 2]])
  
      base_points = gs.array(
          [
              [gs.pi / 3, gs.pi / 7],
              [gs.pi / 4, gs.pi / 8],
              [gs.pi / 5, gs.pi / 9],
          ]
      )
      expected_ = gs.array(
          [
              [[1.0, 0.0], [0.0, gs.sin(gs.pi / 3) ** 2]],
              [[1.0, 0.0], [0.0, gs.sin(gs.pi / 4) ** 2]],
              [[1.0, 0.0], [0.0, gs.sin(gs.pi / 5) ** 2]],
          ]
      )
      data = [
          dict(base_point=base_point, expected=expected),
          dict(base_point=base_points, expected=expected_),
      ]
      return self.generate_tests(data, marks=(pytest.mark.smoke,))
  
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 3 for calling the Hypersphere2IntrinsicMetricTestData obj's underlying member method code with example usage: obj.ricci_tensor_test_data() and returns: self