pep8

bob/fusion/base/tools/common.py

@@ -7,9 +7,11 @@ logger = bob.core.log.setup("bob.fusion.base")
 
 def get_2negatives_1positive(score_lines):
     gen_mask = score_lines['claimed_id'] == score_lines['real_id']
-    atk_mask = np.logical_or(np.char.count(score_lines['real_id'], 'spoof/') > 0,
-                             np.char.count(score_lines['real_id'], 'attack') > 0)
-    zei_mask = np.logical_and(np.logical_not(gen_mask), np.logical_not(atk_mask))
+    atk_mask = np.logical_or(
+        np.char.count(score_lines['real_id'], 'spoof/') > 0,
+        np.char.count(score_lines['real_id'], 'attack') > 0)
+    zei_mask = np.logical_and(np.logical_not(
+        gen_mask), np.logical_not(atk_mask))
     gen = score_lines[gen_mask]
     zei = score_lines[zei_mask]
     atk = score_lines[atk_mask]
@@ -24,7 +26,8 @@ def check_consistency(gen_l, zei_l, atk_l):
             continue
         score_lines0 = score_lines_list[0]
         for score_lines in score_lines_list[1:]:
-            assert(np.all(score_lines['claimed_id'] == score_lines0['claimed_id']))
+            assert(np.all(
+                score_lines['claimed_id'] == score_lines0['claimed_id']))
             assert(np.all(score_lines['real_id'] == score_lines0['real_id']))
 
 
@@ -99,12 +102,14 @@ def get_gza_from_lines_list(score_lines_list):
             # find pad score of that id and replace the score
             for real_id in real_ids:
                 # get the list of test_labels
-                test_labels = np.unique(temp['test_label'][temp['real_id'] == real_id])
+                test_labels = np.unique(
+                    temp['test_label'][temp['real_id'] == real_id])
                 for test_label in test_labels:
                     idx3 = np.logical_and(temp['real_id'] == real_id,
                                           temp['test_label'] == test_label)
-                    idx4 = np.logical_and(gen_l[idx2]['real_id'] == real_id,
-                                          gen_l[idx2]['test_label'] == test_label)
+                    idx4 = np.logical_and(
+                        gen_l[idx2]['real_id'] == real_id,
+                        gen_l[idx2]['test_label'] == test_label)
                     temp['score'][idx3] = gen_l[idx2]['score'][idx4]
             zei_l[idx2] = temp
     return idx1, gen_l, zei_l, atk_l