code: def inner_product_test_data(self):
      smoke_data = [
          dict(
              tangent_vec_a=gs.array(
                  [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]
              ),
              tangent_vec_b=gs.array(
                  [[1.0, 0.0, 0.0], [0.0, 2.0, 0.0], [0.0, 0.0, 3.0]]
              ),
              base_point=gs.array(
                  [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
              ),
              expected=gs.array(6.0),
          ),
          dict(
              tangent_vec_a=gs.array(
                  [[1j, 0j, 0j], [0j, 1j, 0j], [0j, 0j, 1j]]
              ),
              tangent_vec_b=gs.array(
                  [[1j, 0j, 0j], [0j, 2j, 0j], [0j, 0j, 3j]]
              ),
              base_point=gs.array(
                  [[0j, 0j, 0j], [0j, 0j, 0j], [0j, 0j, 0j]]
              ),
              expected=gs.array(6.0),
          ),
      ]
      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 1 for calling the Siegel3MetricTestData obj's underlying member method code with example usage: obj.inner_product_test_data() and returns: self