code: def sectional_curvature_test_data(self):
      smoke_data = [
          dict(
              tangent_vec_a=gs.array([[1.0, 0.0], [0.0, 0.0]]),
              tangent_vec_b=gs.array([[0.0, 0.0], [0.0, 1.0]]),
              base_point=gs.array([[0.0, 0.0], [0.0, 0.0]]),
              expected=gs.array(0.0),
          ),
          dict(
              tangent_vec_a=gs.array([[1j, 0j], [0j, 1j]]),
              tangent_vec_b=gs.array([[-1j, 0j], [0j, -1j]]),
              base_point=gs.array([[0j, 0j], [0j, 0j]]),
              expected=gs.array(0.0),
          ),
          dict(
              tangent_vec_a=gs.array([[1.0 + 0j, 0j], [0j, 0j]]),
              tangent_vec_b=gs.array([[0j, 1j], [0j, 0j]]),
              base_point=gs.array([[0j, 0j], [0j, 0j]]),
              expected=gs.array(-1.0),
          ),
          dict(
              tangent_vec_a=gs.array([[2 + 0j, 0j], [0j, 0j]]),
              tangent_vec_b=gs.array([[0j, 2j], [0j, 0j]]),
              base_point=gs.array([[0j, 0j], [0j, 0j]]),
              expected=gs.array(-1.0),
          ),
          dict(
              tangent_vec_a=gs.array([[0.25 + 0j, 0j], [0j, 0j]]),
              tangent_vec_b=gs.array([[0j, 0.25j], [0j, 0j]]),
              base_point=gs.array([[0j, 0j], [0j, 0j]]),
              expected=gs.array(-1.0),
          ),
      ]
      return self.generate_tests(smoke_data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .complex_riemannian_metric import ComplexRiemannianMetricTestData
label_desc: Use image node_id 3 for calling the Siegel2MetricTestData obj's underlying member method code with example usage: obj.sectional_curvature_test_data() and returns: self