code: def belongs_test_data(self):
      data = [
          dict(
              point=gs.array([[0.2 + 0.2j, -0.1j], [-0.3j, -0.1]]),
              expected=True,
          ),
          dict(
              point=gs.array([[1.0, 1.0], [2.0, 1.0]]), expected=False
          ),
          dict(
              point=gs.array(
                  [
                      [[0.1 + 0.2j, 0.1 + 0.2j], [0.0 - 0.2j, 0.5j]],
                      [[1.0 - 1j, -1.0 + 0.2j], [0.4j, 1.0 + 1.2j]],
                  ]
              ),
              expected=[True, False],
          ),
      ]
      return self.generate_tests(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 Siegel2TestData obj's underlying member method code with example usage: obj.belongs_test_data() and returns: self