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https://github.com/python-pillow/Pillow.git
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d50445ff30
Similar to the recent adoption of Black. isort is a Python utility to sort imports alphabetically and automatically separate into sections. By using isort, contributors can quickly and automatically conform to the projects style without thinking. Just let the tool do it. Uses the configuration recommended by the Black to avoid conflicts of style. Rewrite TestImageQt.test_deprecated to no rely on import order.
299 lines
9.1 KiB
Python
299 lines
9.1 KiB
Python
from PIL import Image
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from .helper import PillowTestCase, cached_property
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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] if im.mode == "L" else point[: len(im.mode)] 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(
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"RGB",
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[
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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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)
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@cached_property
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def gradient_RGBA(self):
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return Image.merge(
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"RGBA",
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[
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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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)
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@cached_property
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def gradient_RGBa(self):
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return Image.merge(
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"RGBa",
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[
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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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)
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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(
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im,
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im2,
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self.mask_1,
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[
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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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)
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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(
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im,
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im2,
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self.mask_L,
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[
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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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)
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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(
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im,
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im2,
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self.gradient_RGBA,
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[
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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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)
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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(
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im,
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im2,
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self.gradient_RGBa,
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[
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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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)
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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(
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im,
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color,
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self.mask_1,
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[
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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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)
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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(
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im,
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color,
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self.mask_L,
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[
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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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)
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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(
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im,
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color,
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self.gradient_RGBA,
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[
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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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)
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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(
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im,
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color,
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self.gradient_RGBa,
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[
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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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)
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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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