[kupfer] data: Bonus rank fixedrank objects in Searcher

[Ulrik Sverdrup <usverdrup src gnome org>]

commit 5702cffa4c229397731a5fa43b976be28e6a8374
Author: Ulrik Sverdrup <ulrik sverdrup gmail com>
Date:   Sun Aug 23 04:25:40 2009 +0200

    data: Bonus rank fixedrank objects in Searcher
    
    This way learning is applied to fixedrank objects; this means we can
    promote text leaves and URL/File text matches with learning.

 kupfer/data.py |    9 ++++-----
 1 files changed, 4 insertions(+), 5 deletions(-)
---
diff --git a/kupfer/data.py b/kupfer/data.py
index ea84d38..bf59557 100644
--- a/kupfer/data.py
+++ b/kupfer/data.py
@@ -84,11 +84,10 @@ class Searcher (object):
 			if not rankables:
 				rankables = search.make_rankables(items)
 
-			if fixedrank:
-				# we have a given rank
-				matches = search.add_rank_objects(rankables, fixedrank)
-			elif score:
-				if key:
+			if score:
+				if fixedrank:
+					rankables = search.add_rank_objects(rankables, fixedrank)
+				elif key:
 					rankables = search.score_objects(rankables, key)
 				matches = search.bonus_objects(rankables, key)
 				if isinstance(src, objects.Source):