code: def squared_norm_test_data(self):
      data = [
          dict(
              vector=gs.array([[2.0, 1.0], [-2.0, -4.0], [-5.0, 1.0]]),
              base_point=None,
              expected=gs.array([5.0, 20.0, 26.0]),
          )
      ]
  
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .base import VectorSpaceTestData
  from .mixins import GroupExpMixinsTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 6 for calling the EuclideanMetric2TestData obj's underlying member method code with example usage: obj.squared_norm_test_data() and returns: self