code: def variance_test_data(self):
      data = [
          dict(
              points=gs.array(
                  [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0], [4.0, 5.0]]
              ),
              base_point=gs.zeros(2),
              weights=gs.array([1.0, 2.0, 1.0, 2.0]),
              expected=gs.array(
                  (1 * 5.0 + 2 * 13.0 + 1 * 25.0 + 2 * 41.0) / 6.0
              ),
          )
      ]
      return self.generate_tests(data)
  
imports: import random
  import geomstats.backend
  from geomstats.test.data import TestData
  from ._base import BaseEstimatorTestData, MeanEstimatorMixinsTestData
label_desc: Use image node_id 1 for calling the VarianceEuclideanTestData obj's underlying member method code with example usage: obj.variance_test_data() and returns: self