mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-27 02:16:19 +03:00
131 lines
3.3 KiB
Python
131 lines
3.3 KiB
Python
from helper import unittest, PillowTestCase, lena
|
|
|
|
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 = lena(mode)
|
|
for mode in modes:
|
|
convert(im, mode)
|
|
|
|
def test_default(self):
|
|
|
|
im = lena("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/lena.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 = lena('RGBA')
|
|
im.putalpha(lena('L'))
|
|
|
|
converted = im.convert('P')
|
|
comparable = converted.convert('RGBA')
|
|
|
|
self.assert_image_similar(im, comparable, 20)
|
|
|
|
def test_trns_p(self):
|
|
im = lena('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 = lena('P')
|
|
im.info['transparency'] = 128
|
|
|
|
# Act
|
|
rgba = im.convert('RGBA')
|
|
|
|
# Assert
|
|
self.assertNotIn('transparency', rgba.info)
|
|
|
|
def test_trns_l(self):
|
|
im = lena('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,
|
|
lambda: im.convert('P', palette=Image.ADAPTIVE))
|
|
self.assertNotIn('transparency', p.info)
|
|
p.save(f)
|
|
|
|
def test_trns_RGB(self):
|
|
im = lena('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 = self.assert_warning(
|
|
UserWarning,
|
|
lambda: im.convert('P', palette=Image.ADAPTIVE))
|
|
self.assertNotIn('transparency', p.info)
|
|
p.save(f)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|
|
|
|
# End of file
|