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Merge pull request #1 from radarhere/feature-filter-composition

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thanks for fix the lint failures
This commit is contained in:
Marcelo-MConti 2025-12-14 20:28:43 -03:00 committed by GitHub
commit 05a0dee878
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2 changed files with 23 additions and 10 deletions
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9
Tests/test_imageops.py
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@ -619,10 +619,15 @@ def test_dither_primary_uses_only_primary_colors() -> None:
im = Image.new("RGB", (4, 4), (200, 100, 50))
out = ImageOps.dither_primary(im)
pixels = out.load()
px = out.load()
assert px is not None
for x in range(out.width):
for y in range(out.height):
r, g, b = pixels[x, y]
value = px[x, y]
assert isinstance(value, tuple)
r, g, b = value
assert r in (0, 255)
assert g in (0, 255)
assert b in (0, 255)

24
src/PIL/ImageOps.py
View File

@ -675,9 +675,12 @@ def dither_primary(image: Image.Image) -> Image.Image:
dst = out.load()
# Step 1: primary color reduction
assert src is not None
for x in range(width):
for y in range(height):
r, g, b = src[x, y]
px = src[x, y]
assert isinstance(px, tuple)
r, g, b = px
src[x, y] = (
255 if r > 127 else 0,
255 if g > 127 else 0,
@ -685,6 +688,7 @@ def dither_primary(image: Image.Image) -> Image.Image:
)
# Step 2: ordered dithering (2x2 blocks)
assert dst is not None
for x in range(0, width - 1, 2):
for y in range(0, height - 1, 2):
p1 = src[x, y]
@ -692,18 +696,22 @@ def dither_primary(image: Image.Image) -> Image.Image:
p3 = src[x + 1, y]
p4 = src[x + 1, y + 1]
assert isinstance(p1, tuple)
assert isinstance(p2, tuple)
assert isinstance(p3, tuple)
assert isinstance(p4, tuple)
red = (p1[0] + p2[0] + p3[0] + p4[0]) / 4
green = (p1[1] + p2[1] + p3[1] + p4[1]) / 4
blue = (p1[2] + p2[2] + p3[2] + p4[2]) / 4
r = [_dither_saturation(red, q) for q in range(4)]
g = [_dither_saturation(green, q) for q in range(4)]
b = [_dither_saturation(blue, q) for q in range(4)]
r1 = [_dither_saturation(red, q) for q in range(4)]
g1 = [_dither_saturation(green, q) for q in range(4)]
b1 = [_dither_saturation(blue, q) for q in range(4)]
dst[x, y] = (r[0], g[0], b[0])
dst[x, y + 1] = (r[1], g[1], b[1])
dst[x + 1, y] = (r[2], g[2], b[2])
dst[x + 1, y + 1] = (r[3], g[3], b[3])
dst[x, y] = (r1[0], g1[0], b1[0])
dst[x, y + 1] = (r1[1], g1[1], b1[1])
dst[x + 1, y] = (r1[2], g1[2], b1[2])
dst[x + 1, y + 1] = (r1[3], g1[3], b1[3])
return out