code: def dist_test_data(self):
      data = [
          dict(
              point_a=gs.array([[2.0, 1.0], [-2.0, -4.0], [-5.0, 1.0]]),
              point_b=gs.array([[2.0, 10.0], [8.0, -1.0], [-3.0, 6.0]]),
              expected=gs.sqrt(gs.array([81.0, 109.0, 29.0])),
          )
      ]
      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 10 for calling the EuclideanMetric2TestData obj's underlying member method code with example usage: obj.dist_test_data() and returns: self