code: def to_grassmannian_test_data(self):
      p_xy = gs.array(
          [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 0.0]]
      )
      r_z = gs.array(
          [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
      )
  
      point1 = gs.array(
          [[1.0, -1.0], [1.0, 1.0], [0.0, 0.0]]
      ) / gs.sqrt(2.0)
      batch_points = Matrices.mul(
          GeneralLinear.exp(
              gs.array([gs.pi * r_z / n for n in [2, 3, 4]])
          ),
          point1,
      )
      data = [
          dict(point=point1, expected=p_xy),
          dict(
              point=batch_points, expected=gs.stack([p_xy, p_xy, p_xy])
          ),
      ]
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.geometry.general_linear import GeneralLinear
  from geomstats.geometry.matrices import Matrices
  from geomstats.test.data import TestData
  from .base import LevelSetTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 1 for calling the StiefelStaticMethodsTestData obj's underlying member method code with example usage: obj.to_grassmannian_test_data() and returns: self