code: def norm_test_data(self):
      data = [
          dict(
              vector=gs.array([[1.0, 0.0], [0.0, 1.0]]),
              base_point=None,
              expected=gs.array(math.sqrt(2)),
          ),
          dict(
              vector=gs.array(
                  [[[3.0, 0.0], [4.0, 0.0]], [[-3.0, 0.0], [-4.0, 0.0]]]
              ),
              base_point=None,
              expected=gs.array([5.0, 5.0]),
          ),
      ]
      return self.generate_tests(data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import MatrixVectorSpaceTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 2 for calling the MatricesMetric22TestData obj's underlying member method code with example usage: obj.norm_test_data() and returns: self