code: def init_test_data(self):
      space_2 = GraphSpace(2, equip=True)
      metric = space_2.metric
  
      smoke_data = [
          dict(
              estimate="frechet_mean",
              metric=metric,
              expected_type=_AACFrechetMean,
          ),
          dict(
              estimate="ggpca", metric=metric, expected_type=_AACGGPCA
          ),
          dict(
              estimate="regression",
              metric=metric,
              expected_type=_AACRegression,
          ),
      ]
  
      return self.generate_tests(smoke_data)
  
imports: import geomstats.backend
  from geomstats.geometry.stratified.graph_space import ExhaustiveAligner, GraphSpace, _GeodesicToPointAligner
  from geomstats.learning.aac import _AACGGPCA, _AACFrechetMean, _AACRegression
  from geomstats.test.data import TestData
  from geomstats.test.test_case import np_backend
label_desc: Use image node_id 1 for calling the AACTestData obj's underlying member method code with example usage: obj.init_test_data() and returns: self