Use future division.

openlp/plugins/songs/forms/duplicatesongremovalform.py

@@ -29,6 +29,7 @@
 """
 The duplicate song removal logic for OpenLP.
 """
+from __future__ import division
 import logging
 import os
 
@@ -161,7 +162,7 @@ class DuplicateSongRemovalForm(OpenLPWizard):
                 self.notify_no_duplicates()
                 return
             # With x songs we have x*(x - 1) / 2 comparisons.
-            max_progress_count = max_songs * (max_songs - 1) / 2
+            max_progress_count = max_songs * (max_songs - 1) // 2
             self.duplicate_search_progress_bar.setMaximum(max_progress_count)
             songs = self.plugin.manager.get_all_objects(Song)
             for outer_song_counter in range(max_songs - 1):
@@ -194,7 +195,6 @@ class DuplicateSongRemovalForm(OpenLPWizard):
             translate(u'Wizard', u'No duplicate songs have been found in the database.'),
             QtGui.QMessageBox.StandardButtons(QtGui.QMessageBox.Ok))
 
-
     def add_duplicates_to_song_list(self, search_song, duplicate_song):
         """
         Inserts a song duplicate (two similar songs) to the duplicate song list.

openlp/plugins/songs/lib/songcompare.py

@@ -43,6 +43,7 @@ Finally two conditions can qualify a song tuple to be a duplicate:
    This condition should hit if one of the two songs (or both) is small (smaller
    than the min_block_size), but most of the song is contained in the other song.
 """
+from __future__ import division
 import difflib
 
 
@@ -85,7 +86,7 @@ def songs_probably_equal(song1, song2):
     for element in diff_no_typos:
         if element[0] == "equal" and _op_length(element) > length_of_longest_equal_block:
             length_of_longest_equal_block = _op_length(element)
-    if length_of_equal_blocks >= MIN_BLOCK_SIZE or length_of_longest_equal_block > len(small) * 2 / 3:
+    if length_of_equal_blocks >= MIN_BLOCK_SIZE or length_of_longest_equal_block > len(small) * 2 // 3:
         return True
     # Both checks failed. We assume the songs are not equal.
     return False