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fix tests and set default effective_scale value for gaussian filter

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homm 2014-10-12 14:00:34 +04:00
parent 84b9f16bfd
commit c42991120a
2 changed files with 4 additions and 4 deletions
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2
PIL/ImageFilter.py
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@ -154,7 +154,7 @@ class GaussianBlur(Filter):
self.effective_scale = effective_scale
def filter(self, image):
return image.gaussian_blur(self.radius, self.effective_scale)
return image.gaussian_blur(self.radius, self.effective_scale or 2.6)
class UnsharpMask(Filter):

6
Tests/test_imageops_usm.py
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@ -66,15 +66,15 @@ class TestImageOpsUsm(PillowTestCase):
def test_blur_accuracy(self):
i = snakes._new(ImageOps.gaussian_blur(snakes, 1))
i = snakes._new(ImageOps.gaussian_blur(snakes, .7))
# Alpha channel must match whole.
self.assertEqual(i.split()[3], snakes.split()[3])
# These pixels surrounded with pixels with 255 intensity.
# They must be 255.
# They must be very close to 255.
for x, y, c in [(1, 0, 1), (2, 0, 1), (7, 8, 1), (8, 8, 1), (2, 9, 1),
(7, 3, 0), (8, 3, 0), (5, 8, 0), (5, 9, 0), (1, 3, 0),
(4, 3, 2), (4, 2, 2)]:
self.assertEqual(i.im.getpixel((x, y))[c], 255)
self.assertGreaterEqual(i.im.getpixel((x, y))[c], 250)
# Fuzzy match.
gp = lambda x, y: i.im.getpixel((x, y))
self.assertTrue(211 <= gp(7, 4)[0] <= 213)