fix #3662 (złe łamanie tytułów w miniboxach na głównej)

[wolnelektury.git] / src / picture / engine.py

diff --git a/src/picture/engine.py b/src/picture/engine.py
index 574e5a8..83d255d 100644 (file)
--- a/src/picture/engine.py
+++ b/src/picture/engine.py
@@ -1,6 +1,7 @@
 from sorl.thumbnail.engines import pil_engine
 from sorl.thumbnail import parsers
 
 from sorl.thumbnail.engines import pil_engine
 from sorl.thumbnail import parsers
 

+

 #
 # Class developed by 
 # http://timmyomahony.com/blog/custom-cropping-engine-sorl-thumbnail/
 #
 # Class developed by 
 # http://timmyomahony.com/blog/custom-cropping-engine-sorl-thumbnail/


@@ -34,7 +35,7 @@ class CustomCroppingEngine(pil_engine.Engine):
             m = parsers.bgpos_pat.match(crop)
             if not m:
                 raise parsers.ThumbnailParseError('Unrecognized crop option: %s' % crop)
             m = parsers.bgpos_pat.match(crop)
             if not m:
                 raise parsers.ThumbnailParseError('Unrecognized crop option: %s' % crop)

-            value = int(m.group('value')) # we only take ints in the regexp
+            value = int(m.group('value'))  # we only take ints in the regexp

             unit = m.group('unit')
             if unit == '%':
                 value = epsilon * value / 100.0
             unit = m.group('unit')
             if unit == '%':
                 value = epsilon * value / 100.0


@@ -50,7 +51,7 @@ class CustomCroppingEngine(pil_engine.Engine):
         if not crop or crop == 'noop':
             return image
         x_image, y_image = self.get_image_size(image)
         if not crop or crop == 'noop':
             return image
         x_image, y_image = self.get_image_size(image)

-        x1,y1,x2,y2 = self._crop_parse(crop, (x_image, y_image), geometry)
+        x1, y1, x2, y2 = self._crop_parse(crop, (x_image, y_image), geometry)

         return self._crop(image, x1, y1, x2, y2)
 
     def _crop(self, image, x1, y1, x2, y2):
         return self._crop(image, x1, y1, x2, y2)
 
     def _crop(self, image, x1, y1, x2, y2):