code: def fit_warn_test_data(self):
      space_2 = GraphSpace(2, equip=True)
      space_2.metric.set_point_to_geodesic_aligner("default")
  
      X = space_2.random_point(self.n_samples)
  
      y = None
      if self.is_regression:
          y = X
          X = gs.expand_dims(gs.linspace(0, 1, num=self.n_samples), 1)
  
      return [dict(estimator=self.Estimator(space_2.metric), X=X, y=y)]
  
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 2 for calling the _TrivialData obj's underlying member method code with example usage: obj.fit_warn_test_data() and returns: list