flake8

ngoix · ngoix · commit 0a1bcf5f3e8b · 2019-02-26T10:40:54.000Z
diff --git a/sklearn/ensemble/iforest.py b/sklearn/ensemble/iforest.py
@@ -408,7 +408,10 @@ def score_samples(self, X):
 
         scores = 2 ** (
             -depths
-            / (len(self.estimators_) * _average_path_length([self.max_samples_]))
+            / (
+                len(self.estimators_)
+                * _average_path_length([self.max_samples_])
+            )
         )
 
         # Take the opposite of the scores as bigger is better (here less
diff --git a/sklearn/ensemble/tests/test_iforest.py b/sklearn/ensemble/tests/test_iforest.py
@@ -10,7 +10,6 @@
 
 import numpy as np
 
-from sklearn.utils.testing import assert_almost_equal
 from sklearn.utils.testing import assert_array_equal
 from sklearn.utils.testing import assert_array_almost_equal
 from sklearn.utils.testing import assert_raises
@@ -268,10 +267,17 @@ def test_iforest_average_path_length():
     result_two = 2. * (np.log(998.) + np.euler_gamma) - 2. * 998. / 999.
 
     assert_array_almost_equal(_average_path_length([1]), [1.], decimal=10)
-    assert_array_almost_equal(_average_path_length([5]), [result_one], decimal=10)
-    assert_array_almost_equal(_average_path_length([999]), [result_two], decimal=10)
-    assert_array_almost_equal(_average_path_length(np.array([1, 5, 999])),
-                              [1., result_one, result_two], decimal=10)
+    assert_array_almost_equal(
+        _average_path_length([5]), [result_one], decimal=10
+    )
+    assert_array_almost_equal(
+        _average_path_length([999]), [result_two], decimal=10
+    )
+    assert_array_almost_equal(
+        _average_path_length(np.array([1, 5, 999])),
+        [1.0, result_one, result_two],
+        decimal=10,
+    )
 
 
 @pytest.mark.filterwarnings('ignore:default contamination')
