code: def test_sectional_curvature_at_identity_vec(self, n_reps, atol):
      base_point = self.space.identity
      tangent_vec_a = self.data_generator.random_tangent_vec(base_point)
      tangent_vec_b = self.data_generator.random_tangent_vec(base_point)
  
      expected = self.space.metric.sectional_curvature_at_identity(
          tangent_vec_a, tangent_vec_b
      )
  
      vec_data = generate_vectorization_data(
          data=[
              dict(
                  tangent_vec_a=tangent_vec_a,
                  tangent_vec_b=tangent_vec_b,
                  expected=expected,
                  atol=atol,
              )
          ],
          arg_names=["tangent_vec_a", "tangent_vec_b"],
          expected_name="expected",
          n_reps=n_reps,
      )
      self._test_vectorization(vec_data)
  
imports: import pytest
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.riemannian_metric import RiemannianMetricTestCase
  from geomstats.vectorization import repeat_point
label_desc: Use image node_id 12 for calling the InvariantMetricMatrixTestCase obj's underlying member method code with example usage: obj.test_sectional_curvature_at_identity_vec(n_reps, atol) without return types