mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-11-14 05:36:48 +03:00
7da17ad41e
The previous test configuration made it difficult to run a single test with the pytest CLI. There were two major issues: - The Tests directory was not a package. It now includes a __init__.py file and imports from other tests modules are done with relative imports. - setup.cfg always specified the Tests directory. So even if a specific test were specified as a CLI arg, this configuration would also always include all tests. This configuration has been removed to allow specifying a single test on the command line. Contributors can now run specific tests with a single command such as: $ tox -e py37 -- Tests/test_file_pdf.py::TestFilePdf.test_rgb This makes it easy and faster to iterate on a single test failure and is very familiar to those that have previously used tox and pytest. When running tox or pytest with no arguments, they still discover and runs all tests in the Tests directory.
237 lines
6.8 KiB
Python
237 lines
6.8 KiB
Python
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')
|
|
|
|
im_l = im.convert('L')
|
|
self.assertEqual(im_l.info['transparency'], 0) # undone
|
|
im_l.save(f)
|
|
|
|
im_rgb = im.convert('RGB')
|
|
self.assertEqual(im_rgb.info['transparency'], (0, 0, 0)) # undone
|
|
im_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
|
|
im_rgba = im.convert('RGBA')
|
|
|
|
# Assert
|
|
self.assertNotIn('transparency', im_rgba.info)
|
|
# https://github.com/python-pillow/Pillow/issues/2702
|
|
self.assertIsNone(im_rgba.palette)
|
|
|
|
def test_trns_l(self):
|
|
im = hopper('L')
|
|
im.info['transparency'] = 128
|
|
|
|
f = self.tempfile('temp.png')
|
|
|
|
im_rgb = im.convert('RGB')
|
|
self.assertEqual(im_rgb.info['transparency'],
|
|
(128, 128, 128)) # undone
|
|
im_rgb.save(f)
|
|
|
|
im_p = im.convert('P')
|
|
self.assertIn('transparency', im_p.info)
|
|
im_p.save(f)
|
|
|
|
im_p = self.assert_warning(
|
|
UserWarning,
|
|
im.convert, 'P', palette=Image.ADAPTIVE)
|
|
self.assertNotIn('transparency', im_p.info)
|
|
im_p.save(f)
|
|
|
|
def test_trns_RGB(self):
|
|
im = hopper('RGB')
|
|
im.info['transparency'] = im.getpixel((0, 0))
|
|
|
|
f = self.tempfile('temp.png')
|
|
|
|
im_l = im.convert('L')
|
|
self.assertEqual(im_l.info['transparency'],
|
|
im_l.getpixel((0, 0))) # undone
|
|
im_l.save(f)
|
|
|
|
im_p = im.convert('P')
|
|
self.assertIn('transparency', im_p.info)
|
|
im_p.save(f)
|
|
|
|
im_rgba = im.convert('RGBA')
|
|
self.assertNotIn('transparency', im_rgba.info)
|
|
im_rgba.save(f)
|
|
|
|
im_p = self.assert_warning(
|
|
UserWarning,
|
|
im.convert, 'P', palette=Image.ADAPTIVE)
|
|
self.assertNotIn('transparency', im_p.info)
|
|
im_p.save(f)
|
|
|
|
def test_gif_with_rgba_palette_to_p(self):
|
|
# See https://github.com/python-pillow/Pillow/issues/2433
|
|
im = Image.open('Tests/images/hopper.gif')
|
|
im.info['transparency'] = 255
|
|
im.load()
|
|
self.assertEqual(im.palette.mode, 'RGBA')
|
|
im_p = im.convert('P')
|
|
|
|
# Should not raise ValueError: unrecognized raw mode
|
|
im_p.load()
|
|
|
|
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')
|
|
im.info['transparency'] = (255, 0, 0)
|
|
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)
|
|
self.assertEqual(converted_im.info['transparency'],
|
|
(105, 54, 4))
|
|
else:
|
|
self.assert_image_similar(converted_im,
|
|
target.getchannel(0), 1)
|
|
self.assertEqual(converted_im.info['transparency'], 105)
|
|
|
|
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()
|