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do not premultiply alpha when resizing with Image.NEAREST resampling
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@ -143,6 +143,42 @@ class TestImageTransform:
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self._test_alpha_premult(op)
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def _test_nearest(self, op, mode):
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# create white image with half transparent,
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# with the black half transparent.
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# do op,
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# the image should be white with half transparent
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transparent, opaque = {
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"RGBA": ((255, 255, 255, 0), (255, 255, 255, 255)),
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"LA": ((255, 0), (255, 255)),
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}[mode]
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im = Image.new(mode, (10, 10), transparent)
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im2 = Image.new(mode, (5, 10), opaque)
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im.paste(im2, (0, 0))
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im = op(im, (40, 10))
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colors = im.getcolors()
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assert colors == [
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(20 * 10, opaque),
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(20 * 10, transparent),
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]
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@pytest.mark.parametrize("mode", ("RGBA", "LA"))
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def test_nearest_resize(self, mode):
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def op(im, sz):
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return im.resize(sz, Image.NEAREST)
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self._test_nearest(op, mode)
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@pytest.mark.parametrize("mode", ("RGBA", "LA"))
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def test_nearest_transform(self, mode):
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def op(im, sz):
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(w, h) = im.size
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return im.transform(sz, Image.EXTENT, (0, 0, w, h), Image.NEAREST)
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self._test_nearest(op, mode)
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def test_blank_fill(self):
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# attempting to hit
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# https://github.com/python-pillow/Pillow/issues/254 reported
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@ -1910,7 +1910,7 @@ class Image:
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if self.mode in ("1", "P"):
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resample = NEAREST
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if self.mode in ["LA", "RGBA"]:
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if self.mode in ["LA", "RGBA"] and resample != NEAREST:
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im = self.convert(self.mode[:-1] + "a")
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im = im.resize(size, resample, box)
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return im.convert(self.mode)
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@ -2394,14 +2394,14 @@ class Image:
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:returns: An :py:class:`~PIL.Image.Image` object.
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"""
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if self.mode == "LA":
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if self.mode == "LA" and resample != NEAREST:
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return (
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self.convert("La")
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.transform(size, method, data, resample, fill, fillcolor)
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.convert("LA")
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)
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if self.mode == "RGBA":
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if self.mode == "RGBA" and resample != NEAREST:
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return (
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self.convert("RGBa")
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.transform(size, method, data, resample, fill, fillcolor)
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