def testLandscapeCrop(self):
def mean_pixel(x, y):
values = im.getpixel((x, y))
if not isinstance(values, (tuple, list)):
values = [values]
return reduce(operator.add, values) / len(values)
for crop in ('center', '50% 200%', '50px 700px'):
th = self.backend.get_thumbnail(self.landscape, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
self.assertEqual(mean_pixel(0, 50), 255)
self.assertEqual(mean_pixel(45, 50), 255)
self.assertEqual(250 < mean_pixel(49, 50) <= 255, True)
self.assertEqual(mean_pixel(55, 50), 0)
self.assertEqual(mean_pixel(99, 50), 0)
for crop in ('left', '0%', '0px'):
th = self.backend.get_thumbnail(self.landscape, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
for x in xrange(0, 99, 10):
for y in xrange(0, 99, 10):
self.assertEqual(250 < mean_pixel(x, y) <= 255, True)
for crop in ('right', '100%', '100px'):
th = self.backend.get_thumbnail(self.landscape, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
for x in xrange(0, 99, 10):
for y in xrange(0, 99, 10):
self.assertEqual(0 <= mean_pixel(x, y) < 5, True)
def testPortraitCrop(self):
def mean_pixel(x, y):
values = im.getpixel((x, y))
if not isinstance(values, (tuple, list)):
values = [values]
return reduce(operator.add, values) / len(values)
for crop in ('center', '88% 50%', '50px'):
th = self.backend.get_thumbnail(self.portrait, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
self.assertEqual(mean_pixel(50,0), 255)
self.assertEqual(mean_pixel(50,45), 255)
self.assertEqual(250 < mean_pixel(50,49) <= 255, True)
self.assertEqual(mean_pixel(50,55), 0)
self.assertEqual(mean_pixel(50,99), 0)
for crop in ('top', '0%', '0px'):
th = self.backend.get_thumbnail(self.portrait, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
for x in xrange(0, 99, 10):
for y in xrange(0, 99, 10):
self.assertEqual(250 < mean_pixel(x, y) <= 255, True)
for crop in ('bottom', '100%', '100px'):
th = self.backend.get_thumbnail(self.portrait, '100x100', crop=crop)
engine = EnginePil()
im = engine.get_image(th)
for x in xrange(0, 99, 10):
for y in xrange(0, 99, 10):
self.assertEqual(0 <= mean_pixel(x, y) < 5, True)
