diff --git a/Tests/test_file_pdf.py b/Tests/test_file_pdf.py index 310619fb2..df0b7abe6 100644 --- a/Tests/test_file_pdf.py +++ b/Tests/test_file_pdf.py @@ -37,6 +37,7 @@ def helper_save_as_pdf(tmp_path, mode, **kwargs): return outfile +@pytest.mark.valgrind_known_error(reason="Temporary skip") def test_monochrome(tmp_path): # Arrange mode = "1" diff --git a/Tests/test_image_paste.py b/Tests/test_image_paste.py index 4ea1d73ce..1ab02017d 100644 --- a/Tests/test_image_paste.py +++ b/Tests/test_image_paste.py @@ -1,3 +1,5 @@ +import pytest + from PIL import Image from .helper import CachedProperty, assert_image_equal @@ -101,226 +103,226 @@ class TestImagingPaste: ], ) - def test_image_solid(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "red") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_solid(self, mode): + im = Image.new(mode, (200, 200), "red") + im2 = getattr(self, "gradient_" + mode) - im.paste(im2, (12, 23)) + im.paste(im2, (12, 23)) - im = im.crop((12, 23, im2.width + 12, im2.height + 23)) - assert_image_equal(im, im2) + im = im.crop((12, 23, im2.width + 12, im2.height + 23)) + assert_image_equal(im, im2) - def test_image_mask_1(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "white") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_mask_1(self, mode): + im = Image.new(mode, (200, 200), "white") + im2 = getattr(self, "gradient_" + mode) - self.assert_9points_paste( - im, - im2, - self.mask_1, - [ - (255, 255, 255, 255), - (255, 255, 255, 255), - (127, 254, 127, 0), - (255, 255, 255, 255), - (255, 255, 255, 255), - (191, 190, 63, 64), - (127, 0, 127, 254), - (191, 64, 63, 190), - (255, 255, 255, 255), - ], - ) + self.assert_9points_paste( + im, + im2, + self.mask_1, + [ + (255, 255, 255, 255), + (255, 255, 255, 255), + (127, 254, 127, 0), + (255, 255, 255, 255), + (255, 255, 255, 255), + (191, 190, 63, 64), + (127, 0, 127, 254), + (191, 64, 63, 190), + (255, 255, 255, 255), + ], + ) - def test_image_mask_L(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "white") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_mask_L(self, mode): + im = Image.new(mode, (200, 200), "white") + im2 = getattr(self, "gradient_" + mode) - self.assert_9points_paste( - im, - im2, - self.mask_L, - [ - (128, 191, 255, 191), - (208, 239, 239, 208), - (255, 255, 255, 255), - (112, 111, 206, 207), - (192, 191, 191, 191), - (239, 239, 207, 207), - (128, 1, 128, 254), - (207, 113, 112, 207), - (255, 191, 128, 191), - ], - ) + self.assert_9points_paste( + im, + im2, + self.mask_L, + [ + (128, 191, 255, 191), + (208, 239, 239, 208), + (255, 255, 255, 255), + (112, 111, 206, 207), + (192, 191, 191, 191), + (239, 239, 207, 207), + (128, 1, 128, 254), + (207, 113, 112, 207), + (255, 191, 128, 191), + ], + ) - def test_image_mask_LA(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "white") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_mask_LA(self, mode): + im = Image.new(mode, (200, 200), "white") + im2 = getattr(self, "gradient_" + mode) - self.assert_9points_paste( - im, - im2, - self.gradient_LA, - [ - (128, 191, 255, 191), - (112, 207, 206, 111), - (128, 254, 128, 1), - (208, 208, 239, 239), - (192, 191, 191, 191), - (207, 207, 112, 113), - (255, 255, 255, 255), - (239, 207, 207, 239), - (255, 191, 128, 191), - ], - ) + self.assert_9points_paste( + im, + im2, + self.gradient_LA, + [ + (128, 191, 255, 191), + (112, 207, 206, 111), + (128, 254, 128, 1), + (208, 208, 239, 239), + (192, 191, 191, 191), + (207, 207, 112, 113), + (255, 255, 255, 255), + (239, 207, 207, 239), + (255, 191, 128, 191), + ], + ) - def test_image_mask_RGBA(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "white") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_mask_RGBA(self, mode): + im = Image.new(mode, (200, 200), "white") + im2 = getattr(self, "gradient_" + mode) - self.assert_9points_paste( - im, - im2, - self.gradient_RGBA, - [ - (128, 191, 255, 191), - (208, 239, 239, 208), - (255, 255, 255, 255), - (112, 111, 206, 207), - (192, 191, 191, 191), - (239, 239, 207, 207), - (128, 1, 128, 254), - (207, 113, 112, 207), - (255, 191, 128, 191), - ], - ) + self.assert_9points_paste( + im, + im2, + self.gradient_RGBA, + [ + (128, 191, 255, 191), + (208, 239, 239, 208), + (255, 255, 255, 255), + (112, 111, 206, 207), + (192, 191, 191, 191), + (239, 239, 207, 207), + (128, 1, 128, 254), + (207, 113, 112, 207), + (255, 191, 128, 191), + ], + ) - def test_image_mask_RGBa(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "white") - im2 = getattr(self, "gradient_" + mode) + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_image_mask_RGBa(self, mode): + im = Image.new(mode, (200, 200), "white") + im2 = getattr(self, "gradient_" + mode) - self.assert_9points_paste( - im, - im2, - self.gradient_RGBa, - [ - (128, 255, 126, 255), - (0, 127, 126, 255), - (126, 253, 126, 255), - (128, 127, 254, 255), - (0, 255, 254, 255), - (126, 125, 254, 255), - (128, 1, 128, 255), - (0, 129, 128, 255), - (126, 255, 128, 255), - ], - ) + self.assert_9points_paste( + im, + im2, + self.gradient_RGBa, + [ + (128, 255, 126, 255), + (0, 127, 126, 255), + (126, 253, 126, 255), + (128, 127, 254, 255), + (0, 255, 254, 255), + (126, 125, 254, 255), + (128, 1, 128, 255), + (0, 129, 128, 255), + (126, 255, 128, 255), + ], + ) - def test_color_solid(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), "black") + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_color_solid(self, mode): + im = Image.new(mode, (200, 200), "black") - rect = (12, 23, 128 + 12, 128 + 23) - im.paste("white", rect) + rect = (12, 23, 128 + 12, 128 + 23) + im.paste("white", rect) - hist = im.crop(rect).histogram() - while hist: - head, hist = hist[:256], hist[256:] - assert head[255] == 128 * 128 - assert sum(head[:255]) == 0 + hist = im.crop(rect).histogram() + while hist: + head, hist = hist[:256], hist[256:] + assert head[255] == 128 * 128 + assert sum(head[:255]) == 0 - def test_color_mask_1(self): - for mode in ("RGBA", "RGB", "L"): - im = Image.new(mode, (200, 200), (50, 60, 70, 80)[: len(mode)]) - color = (10, 20, 30, 40)[: len(mode)] + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_color_mask_1(self, mode): + im = Image.new(mode, (200, 200), (50, 60, 70, 80)[: len(mode)]) + color = (10, 20, 30, 40)[: len(mode)] - self.assert_9points_paste( - im, - color, - self.mask_1, - [ - (50, 60, 70, 80), - (50, 60, 70, 80), - (10, 20, 30, 40), - (50, 60, 70, 80), - (50, 60, 70, 80), - (10, 20, 30, 40), - (10, 20, 30, 40), - (10, 20, 30, 40), - (50, 60, 70, 80), - ], - ) + self.assert_9points_paste( + im, + color, + self.mask_1, + [ + (50, 60, 70, 80), + (50, 60, 70, 80), + (10, 20, 30, 40), + (50, 60, 70, 80), + (50, 60, 70, 80), + (10, 20, 30, 40), + (10, 20, 30, 40), + (10, 20, 30, 40), + (50, 60, 70, 80), + ], + ) - def test_color_mask_L(self): - for mode in ("RGBA", "RGB", "L"): - im = getattr(self, "gradient_" + mode).copy() - color = "white" + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_color_mask_L(self, mode): + im = getattr(self, "gradient_" + mode).copy() + color = "white" - self.assert_9points_paste( - im, - color, - self.mask_L, - [ - (127, 191, 254, 191), - (111, 207, 206, 110), - (127, 254, 127, 0), - (207, 207, 239, 239), - (191, 191, 190, 191), - (207, 206, 111, 112), - (254, 254, 254, 255), - (239, 206, 206, 238), - (254, 191, 127, 191), - ], - ) + self.assert_9points_paste( + im, + color, + self.mask_L, + [ + (127, 191, 254, 191), + (111, 207, 206, 110), + (127, 254, 127, 0), + (207, 207, 239, 239), + (191, 191, 190, 191), + (207, 206, 111, 112), + (254, 254, 254, 255), + (239, 206, 206, 238), + (254, 191, 127, 191), + ], + ) - def test_color_mask_RGBA(self): - for mode in ("RGBA", "RGB", "L"): - im = getattr(self, "gradient_" + mode).copy() - color = "white" + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_color_mask_RGBA(self, mode): + im = getattr(self, "gradient_" + mode).copy() + color = "white" - self.assert_9points_paste( - im, - color, - self.gradient_RGBA, - [ - (127, 191, 254, 191), - (111, 207, 206, 110), - (127, 254, 127, 0), - (207, 207, 239, 239), - (191, 191, 190, 191), - (207, 206, 111, 112), - (254, 254, 254, 255), - (239, 206, 206, 238), - (254, 191, 127, 191), - ], - ) + self.assert_9points_paste( + im, + color, + self.gradient_RGBA, + [ + (127, 191, 254, 191), + (111, 207, 206, 110), + (127, 254, 127, 0), + (207, 207, 239, 239), + (191, 191, 190, 191), + (207, 206, 111, 112), + (254, 254, 254, 255), + (239, 206, 206, 238), + (254, 191, 127, 191), + ], + ) - def test_color_mask_RGBa(self): - for mode in ("RGBA", "RGB", "L"): - im = getattr(self, "gradient_" + mode).copy() - color = "white" + @pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"]) + def test_color_mask_RGBa(self, mode): + im = getattr(self, "gradient_" + mode).copy() + color = "white" - self.assert_9points_paste( - im, - color, - self.gradient_RGBa, - [ - (255, 63, 126, 63), - (47, 143, 142, 46), - (126, 253, 126, 255), - (15, 15, 47, 47), - (63, 63, 62, 63), - (142, 141, 46, 47), - (255, 255, 255, 0), - (48, 15, 15, 47), - (126, 63, 255, 63), - ], - ) + self.assert_9points_paste( + im, + color, + self.gradient_RGBa, + [ + (255, 63, 126, 63), + (47, 143, 142, 46), + (126, 253, 126, 255), + (15, 15, 47, 47), + (63, 63, 62, 63), + (142, 141, 46, 47), + (255, 255, 255, 0), + (48, 15, 15, 47), + (126, 63, 255, 63), + ], + ) def test_different_sizes(self): im = Image.new("RGB", (100, 100)) diff --git a/depends/install_imagequant.sh b/depends/install_imagequant.sh index 9b3088b94..76f4cb95f 100755 --- a/depends/install_imagequant.sh +++ b/depends/install_imagequant.sh @@ -1,7 +1,7 @@ #!/bin/bash # install libimagequant -archive=libimagequant-4.0.1 +archive=libimagequant-4.0.2 ./download-and-extract.sh $archive https://raw.githubusercontent.com/python-pillow/pillow-depends/main/$archive.tar.gz diff --git a/docs/installation.rst b/docs/installation.rst index 42cd7df9d..a8cd5e441 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -166,7 +166,7 @@ Many of Pillow's features require external libraries: * **libimagequant** provides improved color quantization - * Pillow has been tested with libimagequant **2.6-4.0.1** + * Pillow has been tested with libimagequant **2.6-4.0.2** * Libimagequant is licensed GPLv3, which is more restrictive than the Pillow license, therefore we will not be distributing binaries with libimagequant support enabled. diff --git a/winbuild/build_prepare.py b/winbuild/build_prepare.py index a381d636d..94e5dd871 100644 --- a/winbuild/build_prepare.py +++ b/winbuild/build_prepare.py @@ -226,21 +226,21 @@ deps = { "filename": "lcms2-2.13.1.tar.gz", "dir": "lcms2-2.13.1", "patch": { - r"Projects\VC2019\lcms2_static\lcms2_static.vcxproj": { + r"Projects\VC2022\lcms2_static\lcms2_static.vcxproj": { # default is /MD for x86 and /MT for x64, we need /MD always "MultiThreaded": "MultiThreadedDLL", # noqa: E501 # retarget to default toolset (selected by vcvarsall.bat) - "v142": "$(DefaultPlatformToolset)", # noqa: E501 + "v143": "$(DefaultPlatformToolset)", # noqa: E501 # retarget to latest (selected by vcvarsall.bat) "10.0": "$(WindowsSDKVersion)", # noqa: E501 } }, "build": [ cmd_rmdir("Lib"), - cmd_rmdir(r"Projects\VC2019\Release"), - cmd_msbuild(r"Projects\VC2019\lcms2.sln", "Release", "Clean"), + cmd_rmdir(r"Projects\VC2022\Release"), + cmd_msbuild(r"Projects\VC2022\lcms2.sln", "Release", "Clean"), cmd_msbuild( - r"Projects\VC2019\lcms2.sln", "Release", "lcms2_static:Rebuild" + r"Projects\VC2022\lcms2.sln", "Release", "lcms2_static:Rebuild" ), cmd_xcopy("include", "{inc_dir}"), ],