code: def projection_test_data(self):
      data = [
          dict(
              point=gs.array([[1.0, 0.0], [0.0, 1.0]]),
              expected=gs.array(
                  [[1.0 - gs.atol, 0.0], [0.0, 1.0 - gs.atol]]
              ),
          ),
          dict(
              point=gs.array([[1j, 0.0], [0.0, 1j]]),
              expected=gs.array(
                  [
                      [(1.0 - gs.atol) * 1j, 0.0],
                      [0.0, (1.0 - gs.atol) * 1j],
                  ]
              ),
          ),
          dict(
              point=gs.array([[-1.0, 0.0], [0.0, -2.0]]),
              expected=gs.array(
                  [[-(1 - gs.atol) / 2, 0.0], [0.0, -(1 - gs.atol)]]
              ),
          ),
          dict(
              point=gs.array([[-1j, 0.0], [0.0, -2j]]),
              expected=gs.array(
                  [
                      [-(1 - gs.atol) / 2 * 1j, 0.0],
                      [0.0, -(1 - gs.atol) * 1j],
                  ]
              ),
          ),
      ]
      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 2 for calling the Siegel2TestData obj's underlying member method code with example usage: obj.projection_test_data() and returns: self