old_contents: """
  Testing for the base module (sklearn.ensemble.base).
  """
  
  # Authors: Gilles Louppe
  # License: BSD 3
  
  from numpy.testing import assert_equal
  from nose.tools import assert_raises, assert_true
  from sklearn.base import clone
  
  from sklearn.ensemble import BaseEnsemble
  from sklearn.tree import DecisionTreeClassifier
  
  
  def test_base():
      """Check BaseEnsemble methods."""
      tree = DecisionTreeClassifier()
      ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3)
  
      ensemble._make_estimator()
      ensemble._make_estimator()
      ensemble._make_estimator()
      ensemble._make_estimator(append=False)
  
      assert_equal(3, len(ensemble))
      assert_equal(3, len(ensemble.estimators_))
  
      assert_true(isinstance(ensemble[0], DecisionTreeClassifier))
  
  
  def test_error():
      """Check that proper errors are triggered."""
      def instantiate(class_name, **params):
          return class_name(**params)
  
      base_estimator = object()
      assert_raises(TypeError, instantiate, class_name=BaseEnsemble,
                    base_estimator=base_estimator, n_estimators=1)
  
      base_estimator = DecisionTreeClassifier()
      assert_raises(ValueError, instantiate, class_name=BaseEnsemble,
                    base_estimator=base_estimator, n_estimators=-1)
  
new_contents: """
  Testing for the base module (sklearn.ensemble.base).
  """
  
  # Authors: Gilles Louppe
  # License: BSD 3
  
  from numpy.testing import assert_equal
  from nose.tools import assert_raises, assert_true
  
  from sklearn.ensemble import BaseEnsemble
  from sklearn.tree import DecisionTreeClassifier
  
  
  def test_base():
      """Check BaseEnsemble methods."""
      tree = DecisionTreeClassifier()
      ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3)
  
      ensemble._make_estimator()
      ensemble._make_estimator()
      ensemble._make_estimator()
      ensemble._make_estimator(append=False)
  
      assert_equal(3, len(ensemble))
      assert_equal(3, len(ensemble.estimators_))
  
      assert_true(isinstance(ensemble[0], DecisionTreeClassifier))
  
  
  def test_error():
      """Check that proper errors are triggered."""
      def instantiate(class_name, **params):
          return class_name(**params)
  
      base_estimator = object()
      assert_raises(TypeError, instantiate, class_name=BaseEnsemble,
                    base_estimator=base_estimator, n_estimators=1)
  
      base_estimator = DecisionTreeClassifier()
      assert_raises(ValueError, instantiate, class_name=BaseEnsemble,
                    base_estimator=base_estimator, n_estimators=-1)
  
subject: remove unused import