Remove unnecessary changes

Author: William de Vazelhes

test/test_base_metric.py

@@ -4,7 +4,6 @@
 import numpy as np
 from sklearn import clone
 from sklearn.utils.testing import set_random_state
-
 from test.test_utils import ids_metric_learners, metric_learners
 
 
@@ -56,8 +55,7 @@ def test_lsml(self):
   def test_sdml(self):
     self.assertEqual(str(metric_learn.SDML()),
                      "SDML(balance_param=0.5, preprocessor=None, "
-                     "sparsity_param=0.01, use_cov=True,\n   "
-                     "verbose=False)")
+                     "sparsity_param=0.01, use_cov=True,\n   verbose=False)")
     self.assertEqual(str(metric_learn.SDML_Supervised()), """
 SDML_Supervised(balance_param=0.5, num_constraints=None,
         num_labeled='deprecated', preprocessor=None, sparsity_param=0.01,

test/test_sklearn_compat.py

@@ -16,7 +16,6 @@
 from sklearn.model_selection import (cross_val_score, cross_val_predict,
                                      train_test_split, KFold)
 from sklearn.utils.testing import _get_args
-
 from test.test_utils import (metric_learners, ids_metric_learners,
                              mock_preprocessor)