code: def test_predict_and_score(self, n_samples, atol):
      X, y = self.data_generator.random_dataset(
          n_samples
      )  # assumes noiseless
  
      self.estimator.fit(X, y)
  
      score = self.estimator.score(X, y)
      self.assertTrue(
          gs.isclose(score, 1.0, atol=atol), msg=f"score: {score}"
      )
  
file_path: geomstats/geomstats/test_cases/learning/geodesic_regression.py
imports: import pytest
  import geomstats.backend
  from geomstats.test.random import RandomDataGenerator
  from geomstats.test_cases.learning._base import BaseEstimatorTestCase
label_desc: Use image node_id 4 for calling the GeodesicRegressionTestCase obj's underlying member method code with example usage: obj.test_predict_and_score(n_samples, atol) without return types