from helper import unittest, PillowTestCase, hopper from PIL import Image class TestImageConvert(PillowTestCase): def test_sanity(self): def convert(im, mode): out = im.convert(mode) self.assertEqual(out.mode, mode) self.assertEqual(out.size, im.size) modes = "1", "L", "I", "F", "RGB", "RGBA", "RGBX", "CMYK", "YCbCr" for mode in modes: im = hopper(mode) for mode in modes: convert(im, mode) # Check 0 im = Image.new(mode, (0, 0)) for mode in modes: convert(im, mode) def test_default(self): im = hopper("P") self.assert_image(im, "P", im.size) im = im.convert() self.assert_image(im, "RGB", im.size) im = im.convert() self.assert_image(im, "RGB", im.size) # ref https://github.com/python-pillow/Pillow/issues/274 def _test_float_conversion(self, im): orig = im.getpixel((5, 5)) converted = im.convert('F').getpixel((5, 5)) self.assertEqual(orig, converted) def test_8bit(self): im = Image.open('Tests/images/hopper.jpg') self._test_float_conversion(im.convert('L')) def test_16bit(self): im = Image.open('Tests/images/16bit.cropped.tif') self._test_float_conversion(im) def test_16bit_workaround(self): im = Image.open('Tests/images/16bit.cropped.tif') self._test_float_conversion(im.convert('I')) def test_rgba_p(self): im = hopper('RGBA') im.putalpha(hopper('L')) converted = im.convert('P') comparable = converted.convert('RGBA') self.assert_image_similar(im, comparable, 20) def test_trns_p(self): im = hopper('P') im.info['transparency'] = 0 f = self.tempfile('temp.png') l = im.convert('L') self.assertEqual(l.info['transparency'], 0) # undone l.save(f) rgb = im.convert('RGB') self.assertEqual(rgb.info['transparency'], (0, 0, 0)) # undone rgb.save(f) # ref https://github.com/python-pillow/Pillow/issues/664 def test_trns_p_rgba(self): # Arrange im = hopper('P') im.info['transparency'] = 128 # Act rgba = im.convert('RGBA') # Assert self.assertNotIn('transparency', rgba.info) # https://github.com/python-pillow/Pillow/issues/2702 self.assertEqual(rgba.palette, None) def test_trns_l(self): im = hopper('L') im.info['transparency'] = 128 f = self.tempfile('temp.png') rgb = im.convert('RGB') self.assertEqual(rgb.info['transparency'], (128, 128, 128)) # undone rgb.save(f) p = im.convert('P') self.assertIn('transparency', p.info) p.save(f) p = self.assert_warning( UserWarning, im.convert, 'P', palette=Image.ADAPTIVE) self.assertNotIn('transparency', p.info) p.save(f) def test_trns_RGB(self): im = hopper('RGB') im.info['transparency'] = im.getpixel((0, 0)) f = self.tempfile('temp.png') l = im.convert('L') self.assertEqual(l.info['transparency'], l.getpixel((0, 0))) # undone l.save(f) p = im.convert('P') self.assertIn('transparency', p.info) p.save(f) p = im.convert('RGBA') self.assertNotIn('transparency', p.info) p.save(f) p = self.assert_warning( UserWarning, im.convert, 'P', palette=Image.ADAPTIVE) self.assertNotIn('transparency', p.info) p.save(f) def test_p_la(self): im = hopper('RGBA') alpha = hopper('L') im.putalpha(alpha) comparable = im.convert('P').convert('LA').getchannel('A') self.assert_image_similar(alpha, comparable, 5) def test_matrix_illegal_conversion(self): # Arrange im = hopper('CMYK') matrix = ( 0.412453, 0.357580, 0.180423, 0, 0.212671, 0.715160, 0.072169, 0, 0.019334, 0.119193, 0.950227, 0) self.assertNotEqual(im.mode, 'RGB') # Act / Assert self.assertRaises(ValueError, im.convert, mode='CMYK', matrix=matrix) def test_matrix_wrong_mode(self): # Arrange im = hopper('L') matrix = ( 0.412453, 0.357580, 0.180423, 0, 0.212671, 0.715160, 0.072169, 0, 0.019334, 0.119193, 0.950227, 0) self.assertEqual(im.mode, 'L') # Act / Assert self.assertRaises(ValueError, im.convert, mode='L', matrix=matrix) def test_matrix_xyz(self): def matrix_convert(mode): # Arrange im = hopper('RGB') matrix = ( 0.412453, 0.357580, 0.180423, 0, 0.212671, 0.715160, 0.072169, 0, 0.019334, 0.119193, 0.950227, 0) self.assertEqual(im.mode, 'RGB') # Act # Convert an RGB image to the CIE XYZ colour space converted_im = im.convert(mode=mode, matrix=matrix) # Assert self.assertEqual(converted_im.mode, mode) self.assertEqual(converted_im.size, im.size) target = Image.open('Tests/images/hopper-XYZ.png') if converted_im.mode == 'RGB': self.assert_image_similar(converted_im, target, 3) else: self.assert_image_similar(converted_im, target.getchannel(0), 1) matrix_convert('RGB') matrix_convert('L') def test_matrix_identity(self): # Arrange im = hopper('RGB') identity_matrix = ( 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0) self.assertEqual(im.mode, 'RGB') # Act # Convert with an identity matrix converted_im = im.convert(mode='RGB', matrix=identity_matrix) # Assert # No change self.assert_image_equal(converted_im, im) if __name__ == '__main__': unittest.main()