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https://github.com/python-pillow/Pillow.git
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347 lines
8.4 KiB
Python
347 lines
8.4 KiB
Python
import pytest
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from PIL import Image
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from .helper import assert_image, assert_image_equal, assert_image_similar, hopper
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def test_sanity():
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def convert(im, mode):
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out = im.convert(mode)
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assert out.mode == mode
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assert out.size == im.size
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modes = (
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"1",
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"L",
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"LA",
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"P",
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"PA",
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"I",
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"F",
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"RGB",
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"RGBA",
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"RGBX",
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"CMYK",
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"YCbCr",
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"HSV",
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)
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for input_mode in modes:
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im = hopper(input_mode)
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for output_mode in modes:
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convert(im, output_mode)
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# Check 0
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im = Image.new(input_mode, (0, 0))
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for output_mode in modes:
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convert(im, output_mode)
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def test_unsupported_conversion():
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im = hopper()
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with pytest.raises(ValueError):
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im.convert("INVALID")
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def test_default():
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im = hopper("P")
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assert im.mode == "P"
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converted_im = im.convert()
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assert_image(converted_im, "RGB", im.size)
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converted_im = im.convert()
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assert_image(converted_im, "RGB", im.size)
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im.info["transparency"] = 0
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converted_im = im.convert()
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assert_image(converted_im, "RGBA", im.size)
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# ref https://github.com/python-pillow/Pillow/issues/274
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def _test_float_conversion(im):
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orig = im.getpixel((5, 5))
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converted = im.convert("F").getpixel((5, 5))
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assert orig == converted
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def test_8bit():
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with Image.open("Tests/images/hopper.jpg") as im:
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_test_float_conversion(im.convert("L"))
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def test_16bit():
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with Image.open("Tests/images/16bit.cropped.tif") as im:
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_test_float_conversion(im)
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for color in (65535, 65536):
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im = Image.new("I", (1, 1), color)
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im_i16 = im.convert("I;16")
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assert im_i16.getpixel((0, 0)) == 65535
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def test_16bit_workaround():
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with Image.open("Tests/images/16bit.cropped.tif") as im:
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_test_float_conversion(im.convert("I"))
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def test_opaque():
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alpha = hopper("P").convert("PA").getchannel("A")
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solid = Image.new("L", (128, 128), 255)
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assert_image_equal(alpha, solid)
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def test_rgba_p():
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im = hopper("RGBA")
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im.putalpha(hopper("L"))
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converted = im.convert("P")
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comparable = converted.convert("RGBA")
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assert_image_similar(im, comparable, 20)
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def test_rgba():
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with Image.open("Tests/images/transparent.png") as im:
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assert im.mode == "RGBA"
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assert_image_similar(im.convert("RGBa").convert("RGB"), im.convert("RGB"), 1.5)
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def test_trns_p(tmp_path):
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im = hopper("P")
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im.info["transparency"] = 0
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f = str(tmp_path / "temp.png")
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im_l = im.convert("L")
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assert im_l.info["transparency"] == 1 # undone
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im_l.save(f)
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im_rgb = im.convert("RGB")
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assert im_rgb.info["transparency"] == (0, 1, 2) # undone
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im_rgb.save(f)
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# ref https://github.com/python-pillow/Pillow/issues/664
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@pytest.mark.parametrize("mode", ("LA", "PA", "RGBA"))
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def test_trns_p_transparency(mode):
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# Arrange
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im = hopper("P")
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im.info["transparency"] = 128
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# Act
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converted_im = im.convert(mode)
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# Assert
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assert "transparency" not in converted_im.info
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if mode == "PA":
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assert converted_im.palette is not None
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else:
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# https://github.com/python-pillow/Pillow/issues/2702
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assert converted_im.palette is None
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def test_trns_l(tmp_path):
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im = hopper("L")
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im.info["transparency"] = 128
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f = str(tmp_path / "temp.png")
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im_la = im.convert("LA")
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assert "transparency" not in im_la.info
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im_la.save(f)
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im_rgb = im.convert("RGB")
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assert im_rgb.info["transparency"] == (128, 128, 128) # undone
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im_rgb.save(f)
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im_p = im.convert("P")
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assert "transparency" in im_p.info
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im_p.save(f)
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im_p = im.convert("P", palette=Image.Palette.ADAPTIVE)
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assert "transparency" in im_p.info
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im_p.save(f)
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def test_trns_RGB(tmp_path):
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im = hopper("RGB")
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im.info["transparency"] = im.getpixel((0, 0))
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f = str(tmp_path / "temp.png")
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im_l = im.convert("L")
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assert im_l.info["transparency"] == im_l.getpixel((0, 0)) # undone
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im_l.save(f)
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im_p = im.convert("P")
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assert "transparency" in im_p.info
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im_p.save(f)
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im_rgba = im.convert("RGBA")
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assert "transparency" not in im_rgba.info
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im_rgba.save(f)
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im_p = pytest.warns(UserWarning, im.convert, "P", palette=Image.Palette.ADAPTIVE)
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assert "transparency" not in im_p.info
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im_p.save(f)
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im = Image.new("RGB", (1, 1))
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im.info["transparency"] = im.getpixel((0, 0))
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im_p = im.convert("P", palette=Image.Palette.ADAPTIVE)
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assert im_p.info["transparency"] == im_p.getpixel((0, 0))
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im_p.save(f)
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@pytest.mark.parametrize("convert_mode", ("L", "LA", "I"))
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def test_l_macro_rounding(convert_mode):
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for mode in ("P", "PA"):
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im = Image.new(mode, (1, 1))
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im.palette.getcolor((0, 1, 2))
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converted_im = im.convert(convert_mode)
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px = converted_im.load()
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converted_color = px[0, 0]
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if convert_mode == "LA":
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converted_color = converted_color[0]
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assert converted_color == 1
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def test_gif_with_rgba_palette_to_p():
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# See https://github.com/python-pillow/Pillow/issues/2433
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with Image.open("Tests/images/hopper.gif") as im:
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im.info["transparency"] = 255
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im.load()
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assert im.palette.mode == "RGB"
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im_p = im.convert("P")
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# Should not raise ValueError: unrecognized raw mode
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im_p.load()
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def test_p_la():
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im = hopper("RGBA")
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alpha = hopper("L")
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im.putalpha(alpha)
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comparable = im.convert("P").convert("LA").getchannel("A")
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assert_image_similar(alpha, comparable, 5)
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def test_p2pa_alpha():
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with Image.open("Tests/images/tiny.png") as im:
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assert im.mode == "P"
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im_pa = im.convert("PA")
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assert im_pa.mode == "PA"
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im_a = im_pa.getchannel("A")
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for x in range(4):
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alpha = 255 if x > 1 else 0
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for y in range(4):
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assert im_a.getpixel((x, y)) == alpha
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def test_p2pa_palette():
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with Image.open("Tests/images/tiny.png") as im:
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im_pa = im.convert("PA")
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assert im_pa.getpalette() == im.getpalette()
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@pytest.mark.parametrize("mode", ("RGB", "RGBA", "RGBX"))
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def test_rgb_lab(mode):
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im = Image.new(mode, (1, 1))
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converted_im = im.convert("LAB")
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assert converted_im.getpixel((0, 0)) == (0, 128, 128)
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im = Image.new("LAB", (1, 1), (255, 0, 0))
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converted_im = im.convert(mode)
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assert converted_im.getpixel((0, 0))[:3] == (0, 255, 255)
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def test_matrix_illegal_conversion():
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# Arrange
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im = hopper("CMYK")
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# fmt: off
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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# fmt: on
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assert im.mode != "RGB"
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# Act / Assert
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with pytest.raises(ValueError):
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im.convert(mode="CMYK", matrix=matrix)
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def test_matrix_wrong_mode():
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# Arrange
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im = hopper("L")
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# fmt: off
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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# fmt: on
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assert im.mode == "L"
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# Act / Assert
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with pytest.raises(ValueError):
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im.convert(mode="L", matrix=matrix)
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@pytest.mark.parametrize("mode", ("RGB", "L"))
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def test_matrix_xyz(mode):
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# Arrange
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im = hopper("RGB")
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im.info["transparency"] = (255, 0, 0)
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# fmt: off
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matrix = (
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0.412453, 0.357580, 0.180423, 0,
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0.212671, 0.715160, 0.072169, 0,
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0.019334, 0.119193, 0.950227, 0)
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# fmt: on
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assert im.mode == "RGB"
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# Act
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# Convert an RGB image to the CIE XYZ colour space
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converted_im = im.convert(mode=mode, matrix=matrix)
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# Assert
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assert converted_im.mode == mode
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assert converted_im.size == im.size
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with Image.open("Tests/images/hopper-XYZ.png") as target:
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if converted_im.mode == "RGB":
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assert_image_similar(converted_im, target, 3)
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assert converted_im.info["transparency"] == (105, 54, 4)
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else:
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assert_image_similar(converted_im, target.getchannel(0), 1)
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assert converted_im.info["transparency"] == 105
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def test_matrix_identity():
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# Arrange
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im = hopper("RGB")
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# fmt: off
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identity_matrix = (
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1, 0, 0, 0,
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0, 1, 0, 0,
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0, 0, 1, 0)
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# fmt: on
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assert im.mode == "RGB"
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# Act
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# Convert with an identity matrix
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converted_im = im.convert(mode="RGB", matrix=identity_matrix)
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# Assert
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# No change
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assert_image_equal(converted_im, im)
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