code: def test_fit_and_predict(self, estimator, X, y, atol):
      estimator.fit(X, y)
  
      y_pred = estimator.predict(X)
      dists = estimator.metric.dist(y_pred, y)
  
      self.assertAllClose(dists, gs.zeros_like(dists), atol=atol)
  
imports: import geomstats.backend
  from geomstats.learning.aac import AAC
  from geomstats.test.parametrizers import Parametrizer
  from geomstats.test.test_case import TestCase
  from .data.aac import AACFrechetMeanTestData, AACGGPCATestData, AACRegressionTestData, AACTestData
label_desc: Use image node_id 1 for calling the TestAACRegression obj's underlying member method code with example usage: obj.test_fit_and_predict(estimator, X, y, atol) without return types