code: def squared_dist_test_data(self):
      data = [
          dict(
              point_a=gs.array([[1.0, 0.0], [0.0, 1.0]]),
              point_b=gs.array([[2.0, 0.0], [0.0, 2.0]]),
              expected=gs.array(2 + 4 - (2 * 2 * 2**0.5)),
          )
      ]
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .fiber_bundle import FiberBundleTestData
  from .manifold import ManifoldTestData
  from .mixins import ProjectionMixinsTestData
  from .quotient_metric import QuotientMetricTestData
label_desc: Use image node_id 3 for calling the PSD22BuresWassersteinMetricTestData obj's underlying member method code with example usage: obj.squared_dist_test_data() and returns: self