from helper import unittest, PillowTestCase, lena from PIL import Image class TestImageCrop(PillowTestCase): def test_crop(self): def crop(mode): out = lena(mode).crop((50, 50, 100, 100)) self.assertEqual(out.mode, mode) self.assertEqual(out.size, (50, 50)) for mode in "1", "P", "L", "RGB", "I", "F": crop(mode) def test_wide_crop(self): def crop(*bbox): i = im.crop(bbox) h = i.histogram() while h and not h[-1]: del h[-1] return tuple(h) im = Image.new("L", (100, 100), 1) self.assertEqual(crop(0, 0, 100, 100), (0, 10000)) self.assertEqual(crop(25, 25, 75, 75), (0, 2500)) # sides self.assertEqual(crop(-25, 0, 25, 50), (1250, 1250)) self.assertEqual(crop(0, -25, 50, 25), (1250, 1250)) self.assertEqual(crop(75, 0, 125, 50), (1250, 1250)) self.assertEqual(crop(0, 75, 50, 125), (1250, 1250)) self.assertEqual(crop(-25, 25, 125, 75), (2500, 5000)) self.assertEqual(crop(25, -25, 75, 125), (2500, 5000)) # corners self.assertEqual(crop(-25, -25, 25, 25), (1875, 625)) self.assertEqual(crop(75, -25, 125, 25), (1875, 625)) self.assertEqual(crop(75, 75, 125, 125), (1875, 625)) self.assertEqual(crop(-25, 75, 25, 125), (1875, 625)) def test_negative_crop(self): # Check negative crop size (@PIL171) im = Image.new("L", (512, 512)) im = im.crop((400, 400, 200, 200)) self.assertEqual(im.size, (0, 0)) self.assertEqual(len(im.getdata()), 0) self.assertRaises(IndexError, lambda: im.getdata()[0]) if __name__ == '__main__': unittest.main() # End of file