mirror of
https://github.com/python-pillow/Pillow.git
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4de5477b61
With the introduction and use of pytest, it is simple and easy to
execute specific tests in isolation through documented command line
arguments. Either by specifying the module path or through the `-k
EXPRESSION` argument. There is no longer any need to provide the
boilerplate:
if __name__ == '__main__':
unittest.main()
To every test file. It is simply noise.
The pattern remains in test files that aren't named with `test_*` as
those files are not discovered and executed by pytest by default.
233 lines
6.8 KiB
Python
233 lines
6.8 KiB
Python
from .helper import PillowTestCase, hopper
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from PIL import Image
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class TestImageConvert(PillowTestCase):
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def test_sanity(self):
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def convert(im, mode):
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out = im.convert(mode)
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self.assertEqual(out.mode, mode)
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self.assertEqual(out.size, im.size)
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modes = "1", "L", "I", "F", "RGB", "RGBA", "RGBX", "CMYK", "YCbCr"
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for mode in modes:
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im = hopper(mode)
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for mode in modes:
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convert(im, mode)
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# Check 0
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im = Image.new(mode, (0, 0))
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for mode in modes:
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convert(im, mode)
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def test_default(self):
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im = hopper("P")
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self.assert_image(im, "P", im.size)
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im = im.convert()
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self.assert_image(im, "RGB", im.size)
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im = im.convert()
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self.assert_image(im, "RGB", im.size)
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# ref https://github.com/python-pillow/Pillow/issues/274
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def _test_float_conversion(self, im):
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orig = im.getpixel((5, 5))
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converted = im.convert('F').getpixel((5, 5))
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self.assertEqual(orig, converted)
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def test_8bit(self):
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im = Image.open('Tests/images/hopper.jpg')
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self._test_float_conversion(im.convert('L'))
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def test_16bit(self):
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im = Image.open('Tests/images/16bit.cropped.tif')
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self._test_float_conversion(im)
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def test_16bit_workaround(self):
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im = Image.open('Tests/images/16bit.cropped.tif')
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self._test_float_conversion(im.convert('I'))
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def test_rgba_p(self):
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im = hopper('RGBA')
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im.putalpha(hopper('L'))
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converted = im.convert('P')
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comparable = converted.convert('RGBA')
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self.assert_image_similar(im, comparable, 20)
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def test_trns_p(self):
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im = hopper('P')
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im.info['transparency'] = 0
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f = self.tempfile('temp.png')
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im_l = im.convert('L')
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self.assertEqual(im_l.info['transparency'], 0) # undone
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im_l.save(f)
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im_rgb = im.convert('RGB')
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self.assertEqual(im_rgb.info['transparency'], (0, 0, 0)) # undone
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im_rgb.save(f)
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# ref https://github.com/python-pillow/Pillow/issues/664
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def test_trns_p_rgba(self):
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# Arrange
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im = hopper('P')
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im.info['transparency'] = 128
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# Act
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im_rgba = im.convert('RGBA')
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# Assert
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self.assertNotIn('transparency', im_rgba.info)
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# https://github.com/python-pillow/Pillow/issues/2702
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self.assertIsNone(im_rgba.palette)
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def test_trns_l(self):
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im = hopper('L')
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im.info['transparency'] = 128
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f = self.tempfile('temp.png')
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im_rgb = im.convert('RGB')
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self.assertEqual(im_rgb.info['transparency'],
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(128, 128, 128)) # undone
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im_rgb.save(f)
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im_p = im.convert('P')
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self.assertIn('transparency', im_p.info)
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im_p.save(f)
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im_p = self.assert_warning(
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UserWarning,
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im.convert, 'P', palette=Image.ADAPTIVE)
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self.assertNotIn('transparency', im_p.info)
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im_p.save(f)
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def test_trns_RGB(self):
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im = hopper('RGB')
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im.info['transparency'] = im.getpixel((0, 0))
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f = self.tempfile('temp.png')
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im_l = im.convert('L')
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self.assertEqual(im_l.info['transparency'],
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im_l.getpixel((0, 0))) # undone
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im_l.save(f)
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im_p = im.convert('P')
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self.assertIn('transparency', im_p.info)
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im_p.save(f)
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im_rgba = im.convert('RGBA')
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self.assertNotIn('transparency', im_rgba.info)
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im_rgba.save(f)
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im_p = self.assert_warning(
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UserWarning,
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im.convert, 'P', palette=Image.ADAPTIVE)
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self.assertNotIn('transparency', im_p.info)
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im_p.save(f)
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def test_gif_with_rgba_palette_to_p(self):
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# See https://github.com/python-pillow/Pillow/issues/2433
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im = Image.open('Tests/images/hopper.gif')
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im.info['transparency'] = 255
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im.load()
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self.assertEqual(im.palette.mode, 'RGBA')
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im_p = im.convert('P')
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# Should not raise ValueError: unrecognized raw mode
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im_p.load()
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def test_p_la(self):
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im = hopper('RGBA')
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alpha = hopper('L')
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im.putalpha(alpha)
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comparable = im.convert('P').convert('LA').getchannel('A')
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self.assert_image_similar(alpha, comparable, 5)
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def test_matrix_illegal_conversion(self):
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# Arrange
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im = hopper('CMYK')
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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self.assertNotEqual(im.mode, 'RGB')
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# Act / Assert
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self.assertRaises(ValueError,
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im.convert, mode='CMYK', matrix=matrix)
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def test_matrix_wrong_mode(self):
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# Arrange
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im = hopper('L')
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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self.assertEqual(im.mode, 'L')
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# Act / Assert
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self.assertRaises(ValueError,
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im.convert, mode='L', matrix=matrix)
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def test_matrix_xyz(self):
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def matrix_convert(mode):
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# Arrange
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im = hopper('RGB')
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im.info['transparency'] = (255, 0, 0)
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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self.assertEqual(im.mode, 'RGB')
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# Act
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# Convert an RGB image to the CIE XYZ colour space
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converted_im = im.convert(mode=mode, matrix=matrix)
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# Assert
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self.assertEqual(converted_im.mode, mode)
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self.assertEqual(converted_im.size, im.size)
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target = Image.open('Tests/images/hopper-XYZ.png')
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if converted_im.mode == 'RGB':
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self.assert_image_similar(converted_im, target, 3)
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self.assertEqual(converted_im.info['transparency'],
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(105, 54, 4))
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else:
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self.assert_image_similar(converted_im,
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target.getchannel(0), 1)
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self.assertEqual(converted_im.info['transparency'], 105)
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matrix_convert('RGB')
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matrix_convert('L')
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def test_matrix_identity(self):
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# Arrange
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im = hopper('RGB')
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identity_matrix = (
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1, 0, 0, 0,
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0, 1, 0, 0,
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0, 0, 1, 0)
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self.assertEqual(im.mode, 'RGB')
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# Act
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# Convert with an identity matrix
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converted_im = im.convert(mode='RGB', matrix=identity_matrix)
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# Assert
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# No change
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self.assert_image_equal(converted_im, im)
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