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parametrize tests
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Yay295
GitHub
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@ -5,90 +5,110 @@ from PIL import Image, ImageFilter
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from .helper import assert_image_equal, hopper
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def test_sanity():
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def apply_filter(filter_to_apply):
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for mode in ["L", "RGB", "CMYK"]:
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im = hopper(mode)
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out = im.filter(filter_to_apply)
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assert out.mode == im.mode
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assert out.size == im.size
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@pytest.mark.parametrize(
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"filter_to_apply",
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(
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ImageFilter.BLUR,
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ImageFilter.CONTOUR,
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ImageFilter.DETAIL,
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ImageFilter.EDGE_ENHANCE,
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ImageFilter.EDGE_ENHANCE_MORE,
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ImageFilter.EMBOSS,
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ImageFilter.FIND_EDGES,
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ImageFilter.SMOOTH,
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ImageFilter.SMOOTH_MORE,
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ImageFilter.SHARPEN,
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ImageFilter.MaxFilter,
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ImageFilter.MedianFilter,
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ImageFilter.MinFilter,
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ImageFilter.ModeFilter,
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ImageFilter.GaussianBlur,
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ImageFilter.GaussianBlur(5),
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ImageFilter.BoxBlur(5),
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ImageFilter.UnsharpMask,
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ImageFilter.UnsharpMask(10),
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),
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)
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@pytest.mark.parametrize("mode", ("L", "RGB", "CMYK"))
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def test_sanity(filter_to_apply, mode):
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im = hopper(mode)
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out = im.filter(filter_to_apply)
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assert out.mode == im.mode
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assert out.size == im.size
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apply_filter(ImageFilter.BLUR)
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apply_filter(ImageFilter.CONTOUR)
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apply_filter(ImageFilter.DETAIL)
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apply_filter(ImageFilter.EDGE_ENHANCE)
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apply_filter(ImageFilter.EDGE_ENHANCE_MORE)
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apply_filter(ImageFilter.EMBOSS)
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apply_filter(ImageFilter.FIND_EDGES)
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apply_filter(ImageFilter.SMOOTH)
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apply_filter(ImageFilter.SMOOTH_MORE)
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apply_filter(ImageFilter.SHARPEN)
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apply_filter(ImageFilter.MaxFilter)
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apply_filter(ImageFilter.MedianFilter)
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apply_filter(ImageFilter.MinFilter)
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apply_filter(ImageFilter.ModeFilter)
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apply_filter(ImageFilter.GaussianBlur)
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apply_filter(ImageFilter.GaussianBlur(5))
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apply_filter(ImageFilter.BoxBlur(5))
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apply_filter(ImageFilter.UnsharpMask)
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apply_filter(ImageFilter.UnsharpMask(10))
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@pytest.mark.parametrize("mode", ("L", "RGB", "CMYK"))
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def test_sanity_error(mode):
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with pytest.raises(TypeError):
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apply_filter("hello")
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im = hopper(mode)
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out = im.filter("hello")
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assert out.mode == im.mode
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assert out.size == im.size
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def test_crash():
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# crashes on small images
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im = Image.new("RGB", (1, 1))
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im.filter(ImageFilter.SMOOTH)
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im = Image.new("RGB", (2, 2))
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im.filter(ImageFilter.SMOOTH)
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im = Image.new("RGB", (3, 3))
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# crashes on small images
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@pytest.mark.parametrize("size", ((1, 1), (2, 2), (3, 3)))
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def test_crash(size):
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im = Image.new("RGB", size)
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im.filter(ImageFilter.SMOOTH)
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def test_modefilter():
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def modefilter(mode):
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im = Image.new(mode, (3, 3), None)
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im.putdata(list(range(9)))
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# image is:
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# 0 1 2
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# 3 4 5
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# 6 7 8
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mod = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
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im.putdata([0, 0, 1, 2, 5, 1, 5, 2, 0]) # mode=0
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mod2 = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
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return mod, mod2
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assert modefilter("1") == (4, 0)
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assert modefilter("L") == (4, 0)
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assert modefilter("P") == (4, 0)
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assert modefilter("RGB") == ((4, 0, 0), (0, 0, 0))
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@pytest.mark.parametrize(
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"mode,expected",
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(
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("1", (4, 0)),
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("L", (4, 0)),
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("P", (4, 0)),
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("RGB", ((4, 0, 0), (0, 0, 0))),
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),
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)
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def test_modefilter(mode, expected):
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im = Image.new(mode, (3, 3), None)
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im.putdata(list(range(9)))
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# image is:
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# 0 1 2
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# 3 4 5
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# 6 7 8
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mod = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
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im.putdata([0, 0, 1, 2, 5, 1, 5, 2, 0]) # mode=0
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mod2 = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
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assert (mod, mod2) == expected
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def test_rankfilter():
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def rankfilter(mode):
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im = Image.new(mode, (3, 3), None)
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im.putdata(list(range(9)))
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# image is:
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# 0 1 2
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# 3 4 5
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# 6 7 8
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minimum = im.filter(ImageFilter.MinFilter).getpixel((1, 1))
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med = im.filter(ImageFilter.MedianFilter).getpixel((1, 1))
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maximum = im.filter(ImageFilter.MaxFilter).getpixel((1, 1))
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return minimum, med, maximum
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@pytest.mark.parametrize(
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"mode,expected",
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(
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("1", (0, 4, 8)),
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("L", (0, 4, 8)),
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("RGB", ((0, 0, 0), (4, 0, 0), (8, 0, 0))),
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("I", (0, 4, 8)),
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("F", (0.0, 4.0, 8.0)),
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),
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)
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def test_rankfilter(mode, expected):
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im = Image.new(mode, (3, 3), None)
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im.putdata(list(range(9)))
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# image is:
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# 0 1 2
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# 3 4 5
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# 6 7 8
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minimum = im.filter(ImageFilter.MinFilter).getpixel((1, 1))
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med = im.filter(ImageFilter.MedianFilter).getpixel((1, 1))
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maximum = im.filter(ImageFilter.MaxFilter).getpixel((1, 1))
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assert (minimum, med, maximum) == expected
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assert rankfilter("1") == (0, 4, 8)
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assert rankfilter("L") == (0, 4, 8)
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def test_rankfilter_error():
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with pytest.raises(ValueError):
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rankfilter("P")
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assert rankfilter("RGB") == ((0, 0, 0), (4, 0, 0), (8, 0, 0))
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assert rankfilter("I") == (0, 4, 8)
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assert rankfilter("F") == (0.0, 4.0, 8.0)
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im = Image.new("P", (3, 3), None)
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im.putdata(list(range(9)))
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# image is:
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# 0 1 2
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# 3 4 5
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# 6 7 8
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im.filter(ImageFilter.MinFilter).getpixel((1, 1))
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im.filter(ImageFilter.MedianFilter).getpixel((1, 1))
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im.filter(ImageFilter.MaxFilter).getpixel((1, 1))
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def test_rankfilter_properties():
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@ -110,7 +130,8 @@ def test_kernel_not_enough_coefficients():
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ImageFilter.Kernel((3, 3), (0, 0))
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def test_consistency_3x3():
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@pytest.mark.parametrize("mode", ("L", "LA", "RGB", "CMYK"))
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def test_consistency_3x3(mode):
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with Image.open("Tests/images/hopper.bmp") as source:
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with Image.open("Tests/images/hopper_emboss.bmp") as reference:
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kernel = ImageFilter.Kernel(
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@ -125,14 +146,14 @@ def test_consistency_3x3():
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source = source.split() * 2
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reference = reference.split() * 2
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for mode in ["L", "LA", "RGB", "CMYK"]:
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assert_image_equal(
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Image.merge(mode, source[: len(mode)]).filter(kernel),
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Image.merge(mode, reference[: len(mode)]),
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)
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assert_image_equal(
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Image.merge(mode, source[: len(mode)]).filter(kernel),
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Image.merge(mode, reference[: len(mode)]),
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)
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def test_consistency_5x5():
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@pytest.mark.parametrize("mode", ("L", "LA", "RGB", "CMYK"))
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def test_consistency_5x5(mode):
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with Image.open("Tests/images/hopper.bmp") as source:
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with Image.open("Tests/images/hopper_emboss_more.bmp") as reference:
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kernel = ImageFilter.Kernel(
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@ -149,8 +170,7 @@ def test_consistency_5x5():
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source = source.split() * 2
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reference = reference.split() * 2
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for mode in ["L", "LA", "RGB", "CMYK"]:
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assert_image_equal(
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Image.merge(mode, source[: len(mode)]).filter(kernel),
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Image.merge(mode, reference[: len(mode)]),
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)
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assert_image_equal(
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Image.merge(mode, source[: len(mode)]).filter(kernel),
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Image.merge(mode, reference[: len(mode)]),
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)
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