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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.
253 lines
8.1 KiB
Python
253 lines
8.1 KiB
Python
from .helper import PillowTestCase, cached_property
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from PIL import Image
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class TestImagingPaste(PillowTestCase):
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masks = {}
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size = 128
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def assert_9points_image(self, im, expected):
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expected = [
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point[0]
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if im.mode == 'L' else
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point[:len(im.mode)]
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for point in expected
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]
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px = im.load()
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actual = [
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px[0, 0],
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px[self.size // 2, 0],
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px[self.size - 1, 0],
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px[0, self.size // 2],
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px[self.size // 2, self.size // 2],
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px[self.size - 1, self.size // 2],
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px[0, self.size - 1],
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px[self.size // 2, self.size - 1],
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px[self.size - 1, self.size - 1],
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]
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self.assertEqual(actual, expected)
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def assert_9points_paste(self, im, im2, mask, expected):
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im3 = im.copy()
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im3.paste(im2, (0, 0), mask)
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self.assert_9points_image(im3, expected)
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# Abbreviated syntax
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im.paste(im2, mask)
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self.assert_9points_image(im, expected)
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@cached_property
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def mask_1(self):
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mask = Image.new('1', (self.size, self.size))
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px = mask.load()
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for y in range(mask.height):
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for x in range(mask.width):
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px[y, x] = (x + y) % 2
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return mask
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@cached_property
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def mask_L(self):
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return self.gradient_L.transpose(Image.ROTATE_270)
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@cached_property
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def gradient_L(self):
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gradient = Image.new('L', (self.size, self.size))
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px = gradient.load()
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for y in range(gradient.height):
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for x in range(gradient.width):
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px[y, x] = (x + y) % 255
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return gradient
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@cached_property
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def gradient_RGB(self):
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return Image.merge('RGB', [
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self.gradient_L,
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self.gradient_L.transpose(Image.ROTATE_90),
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self.gradient_L.transpose(Image.ROTATE_180),
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])
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@cached_property
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def gradient_RGBA(self):
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return Image.merge('RGBA', [
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self.gradient_L,
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self.gradient_L.transpose(Image.ROTATE_90),
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self.gradient_L.transpose(Image.ROTATE_180),
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self.gradient_L.transpose(Image.ROTATE_270),
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])
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@cached_property
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def gradient_RGBa(self):
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return Image.merge('RGBa', [
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self.gradient_L,
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self.gradient_L.transpose(Image.ROTATE_90),
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self.gradient_L.transpose(Image.ROTATE_180),
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self.gradient_L.transpose(Image.ROTATE_270),
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])
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def test_image_solid(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'red')
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im2 = getattr(self, 'gradient_' + mode)
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im.paste(im2, (12, 23))
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im = im.crop((12, 23, im2.width + 12, im2.height + 23))
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self.assert_image_equal(im, im2)
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def test_image_mask_1(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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self.assert_9points_paste(im, im2, self.mask_1, [
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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(127, 254, 127, 0),
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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(191, 190, 63, 64),
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(127, 0, 127, 254),
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(191, 64, 63, 190),
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(255, 255, 255, 255),
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])
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def test_image_mask_L(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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self.assert_9points_paste(im, im2, self.mask_L, [
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(128, 191, 255, 191),
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(208, 239, 239, 208),
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(255, 255, 255, 255),
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(112, 111, 206, 207),
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(192, 191, 191, 191),
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(239, 239, 207, 207),
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(128, 1, 128, 254),
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(207, 113, 112, 207),
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(255, 191, 128, 191),
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])
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def test_image_mask_RGBA(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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self.assert_9points_paste(im, im2, self.gradient_RGBA, [
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(128, 191, 255, 191),
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(208, 239, 239, 208),
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(255, 255, 255, 255),
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(112, 111, 206, 207),
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(192, 191, 191, 191),
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(239, 239, 207, 207),
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(128, 1, 128, 254),
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(207, 113, 112, 207),
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(255, 191, 128, 191),
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])
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def test_image_mask_RGBa(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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self.assert_9points_paste(im, im2, self.gradient_RGBa, [
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(128, 255, 126, 255),
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(0, 127, 126, 255),
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(126, 253, 126, 255),
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(128, 127, 254, 255),
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(0, 255, 254, 255),
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(126, 125, 254, 255),
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(128, 1, 128, 255),
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(0, 129, 128, 255),
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(126, 255, 128, 255),
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])
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def test_color_solid(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), 'black')
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rect = (12, 23, 128 + 12, 128 + 23)
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im.paste('white', rect)
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hist = im.crop(rect).histogram()
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while hist:
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head, hist = hist[:256], hist[256:]
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self.assertEqual(head[255], 128 * 128)
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self.assertEqual(sum(head[:255]), 0)
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def test_color_mask_1(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = Image.new(mode, (200, 200), (50, 60, 70, 80)[:len(mode)])
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color = (10, 20, 30, 40)[:len(mode)]
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self.assert_9points_paste(im, color, self.mask_1, [
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(50, 60, 70, 80),
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(50, 60, 70, 80),
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(10, 20, 30, 40),
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(50, 60, 70, 80),
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(50, 60, 70, 80),
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(10, 20, 30, 40),
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(10, 20, 30, 40),
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(10, 20, 30, 40),
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(50, 60, 70, 80),
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])
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def test_color_mask_L(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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self.assert_9points_paste(im, color, self.mask_L, [
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(127, 191, 254, 191),
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(111, 207, 206, 110),
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(127, 254, 127, 0),
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(207, 207, 239, 239),
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(191, 191, 190, 191),
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(207, 206, 111, 112),
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(254, 254, 254, 255),
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(239, 206, 206, 238),
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(254, 191, 127, 191),
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])
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def test_color_mask_RGBA(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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self.assert_9points_paste(im, color, self.gradient_RGBA, [
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(127, 191, 254, 191),
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(111, 207, 206, 110),
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(127, 254, 127, 0),
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(207, 207, 239, 239),
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(191, 191, 190, 191),
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(207, 206, 111, 112),
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(254, 254, 254, 255),
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(239, 206, 206, 238),
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(254, 191, 127, 191),
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])
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def test_color_mask_RGBa(self):
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for mode in ('RGBA', 'RGB', 'L'):
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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self.assert_9points_paste(im, color, self.gradient_RGBa, [
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(255, 63, 126, 63),
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(47, 143, 142, 46),
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(126, 253, 126, 255),
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(15, 15, 47, 47),
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(63, 63, 62, 63),
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(142, 141, 46, 47),
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(255, 255, 255, 0),
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(48, 15, 15, 47),
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(126, 63, 255, 63)
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])
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def test_different_sizes(self):
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im = Image.new('RGB', (100, 100))
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im2 = Image.new('RGB', (50, 50))
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im.copy().paste(im2)
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im.copy().paste(im2, (0, 0))
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