mirror of
https://github.com/python-pillow/Pillow.git
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Merge branch 'main' into fix-padding
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commit
b3e847a164
17
.github/renovate.json
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17
.github/renovate.json
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@ -0,0 +1,17 @@
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{
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"$schema": "https://docs.renovatebot.com/renovate-schema.json",
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"extends": [
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"config:base"
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],
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"labels": [
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"Dependency"
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],
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"packageRules": [
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{
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"groupName": "github-actions",
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"matchManagers": ["github-actions"],
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"separateMajorMinor": "false"
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}
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],
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"schedule": ["on the 3rd day of the month"]
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}
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@ -40,6 +40,7 @@ repos:
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rev: v4.3.0
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hooks:
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- id: check-merge-conflict
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- id: check-json
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- id: check-yaml
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- repo: https://github.com/sphinx-contrib/sphinx-lint
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@ -25,6 +25,7 @@ exclude .coveragerc
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exclude .editorconfig
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exclude .readthedocs.yml
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exclude codecov.yml
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exclude renovate.json
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global-exclude .git*
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global-exclude *.pyc
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global-exclude *.so
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@ -74,6 +74,9 @@ As of 2019, Pillow development is
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<a href="https://pypi.org/project/Pillow/"><img
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alt="Number of PyPI downloads"
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src="https://img.shields.io/pypi/dm/pillow.svg"></a>
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<a href="https://bestpractices.coreinfrastructure.org/projects/6331"><img
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alt="OpenSSF Best Practices"
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src="https://bestpractices.coreinfrastructure.org/projects/6331/badge"></a>
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</td>
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</tr>
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<tr>
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@ -1087,6 +1087,19 @@ def test_palette_save_P(tmp_path):
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assert_image_equal(reloaded, im)
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def test_palette_save_duplicate_entries(tmp_path):
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im = Image.new("P", (1, 2))
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im.putpixel((0, 1), 1)
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im.putpalette((0, 0, 0, 0, 0, 0))
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out = str(tmp_path / "temp.gif")
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im.save(out, palette=[0, 0, 0, 0, 0, 0, 1, 1, 1])
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with Image.open(out) as reloaded:
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assert reloaded.convert("RGB").getpixel((0, 1)) == (0, 0, 0)
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def test_palette_save_all_P(tmp_path):
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frames = []
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colors = ((255, 0, 0), (0, 255, 0))
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@ -620,6 +620,7 @@ class TestImage:
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im_remapped = im.remap_palette([1, 0])
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assert im_remapped.info["transparency"] == 1
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assert len(im_remapped.getpalette()) == 6
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# Test unused transparency
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im.info["transparency"] = 2
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@ -110,6 +110,16 @@ def test_contain(new_size):
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assert new_im.size == (256, 256)
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def test_contain_round():
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im = Image.new("1", (43, 63), 1)
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new_im = ImageOps.contain(im, (5, 7))
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assert new_im.width == 5
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im = Image.new("1", (63, 43), 1)
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new_im = ImageOps.contain(im, (7, 5))
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assert new_im.height == 5
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def test_pad():
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# Same ratio
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im = hopper()
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@ -130,6 +140,15 @@ def test_pad():
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)
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def test_pad_round():
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im = Image.new("1", (1, 1), 1)
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new_im = ImageOps.pad(im, (4, 1))
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assert new_im.load()[2, 0] == 1
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new_im = ImageOps.pad(im, (1, 4))
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assert new_im.load()[0, 2] == 1
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@pytest.mark.parametrize("mode", ("P", "PA"))
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def test_palette(mode):
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im = hopper(mode)
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@ -69,6 +69,10 @@ Pillow for enterprise is available via the Tidelift Subscription. `Learn more <h
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:target: https://pypi.org/project/Pillow/
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:alt: Number of PyPI downloads
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.. image:: https://bestpractices.coreinfrastructure.org/projects/6331/badge
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:target: https://bestpractices.coreinfrastructure.org/projects/6331
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:alt: OpenSSF Best Practices
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Overview
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========
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@ -519,9 +519,8 @@ def _normalize_palette(im, palette, info):
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used_palette_colors = []
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for i in range(0, len(source_palette), 3):
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source_color = tuple(source_palette[i : i + 3])
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try:
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index = im.palette.colors[source_color]
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except KeyError:
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index = im.palette.colors.get(source_color)
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if index in used_palette_colors:
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index = None
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used_palette_colors.append(index)
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for i, index in enumerate(used_palette_colors):
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@ -1949,11 +1949,7 @@ class Image:
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m_im = m_im.convert("L")
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# Internally, we require 256 palette entries.
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new_palette_bytes = (
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palette_bytes + ((256 * bands) - len(palette_bytes)) * b"\x00"
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)
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m_im.putpalette(new_palette_bytes, palette_mode)
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m_im.putpalette(palette_bytes, palette_mode)
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m_im.palette = ImagePalette.ImagePalette(palette_mode, palette=palette_bytes)
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if "transparency" in self.info:
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@ -255,11 +255,11 @@ def contain(image, size, method=Image.Resampling.BICUBIC):
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if im_ratio != dest_ratio:
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if im_ratio > dest_ratio:
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new_height = int(image.height / image.width * size[0])
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new_height = round(image.height / image.width * size[0])
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if new_height != size[1]:
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size = (size[0], new_height)
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else:
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new_width = int(image.width / image.height * size[1])
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new_width = round(image.width / image.height * size[1])
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if new_width != size[0]:
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size = (new_width, size[1])
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return image.resize(size, resample=method)
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@ -294,10 +294,10 @@ def pad(image, size, method=Image.Resampling.BICUBIC, color=None, centering=(0.5
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if resized.palette:
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out.putpalette(resized.getpalette())
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if resized.width != size[0]:
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x = int((size[0] - resized.width) * max(0, min(centering[0], 1)))
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x = round((size[0] - resized.width) * max(0, min(centering[0], 1)))
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out.paste(resized, (x, 0))
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else:
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y = int((size[1] - resized.height) * max(0, min(centering[1], 1)))
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y = round((size[1] - resized.height) * max(0, min(centering[1], 1)))
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out.paste(resized, (0, y))
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return out
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