""" Tests for resize functionality. """ from itertools import permutations from helper import unittest, PillowTestCase, hopper from PIL import Image class TestImagingCoreResize(PillowTestCase): def resize(self, im, size, f): # Image class independent version of resize. im.load() return im._new(im.im.resize(size, f)) def test_nearest_mode(self): for mode in ["1", "P", "L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr", "I;16"]: # exotic mode im = hopper(mode) r = self.resize(im, (15, 12), Image.NEAREST) self.assertEqual(r.mode, mode) self.assertEqual(r.size, (15, 12)) self.assertEqual(r.im.bands, im.im.bands) def test_convolution_modes(self): self.assertRaises(ValueError, self.resize, hopper("1"), (15, 12), Image.BILINEAR) self.assertRaises(ValueError, self.resize, hopper("P"), (15, 12), Image.BILINEAR) self.assertRaises(ValueError, self.resize, hopper("I;16"), (15, 12), Image.BILINEAR) for mode in ["L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr"]: im = hopper(mode) r = self.resize(im, (15, 12), Image.BILINEAR) self.assertEqual(r.mode, mode) self.assertEqual(r.size, (15, 12)) self.assertEqual(r.im.bands, im.im.bands) def test_reduce_filters(self): for f in [Image.NEAREST, Image.BOX, Image.BILINEAR, Image.HAMMING, Image.BICUBIC, Image.LANCZOS]: r = self.resize(hopper("RGB"), (15, 12), f) self.assertEqual(r.mode, "RGB") self.assertEqual(r.size, (15, 12)) def test_enlarge_filters(self): for f in [Image.NEAREST, Image.BOX, Image.BILINEAR, Image.HAMMING, Image.BICUBIC, Image.LANCZOS]: r = self.resize(hopper("RGB"), (212, 195), f) self.assertEqual(r.mode, "RGB") self.assertEqual(r.size, (212, 195)) def test_endianness(self): # Make an image with one colored pixel, in one channel. # When resized, that channel should be the same as a GS image. # Other channels should be unaffected. # The R and A channels should not swap, which is indicative of # an endianness issues. samples = { 'blank': Image.new('L', (2, 2), 0), 'filled': Image.new('L', (2, 2), 255), 'dirty': Image.new('L', (2, 2), 0), } samples['dirty'].putpixel((1, 1), 128) for f in [Image.NEAREST, Image.BOX, Image.BILINEAR, Image.HAMMING, Image.BICUBIC, Image.LANCZOS]: # samples resized with current filter references = { name: self.resize(ch, (4, 4), f) for name, ch in samples.items() } for mode, channels_set in [ ('RGB', ('blank', 'filled', 'dirty')), ('RGBA', ('blank', 'blank', 'filled', 'dirty')), ('LA', ('filled', 'dirty')), ]: for channels in set(permutations(channels_set)): # compile image from different channels permutations im = Image.merge(mode, [samples[ch] for ch in channels]) resized = self.resize(im, (4, 4), f) for i, ch in enumerate(resized.split()): # check what resized channel in image is the same # as separately resized channel self.assert_image_equal(ch, references[channels[i]]) def test_enlarge_zero(self): for f in [Image.NEAREST, Image.BOX, Image.BILINEAR, Image.HAMMING, Image.BICUBIC, Image.LANCZOS]: r = self.resize(Image.new('RGB', (0,0), "white"), (212, 195), f) self.assertEqual(r.mode, "RGB") self.assertEqual(r.size, (212, 195)) self.assertEqual(r.getdata()[0], (0,0,0)) class TestImageResize(PillowTestCase): def test_resize(self): def resize(mode, size): out = hopper(mode).resize(size) self.assertEqual(out.mode, mode) self.assertEqual(out.size, size) for mode in "1", "P", "L", "RGB", "I", "F": resize(mode, (112, 103)) resize(mode, (188, 214)) if __name__ == '__main__': unittest.main()