mirror of
				https://github.com/python-pillow/Pillow.git
				synced 2025-10-31 16:07:30 +03:00 
			
		
		
		
	
		
			
				
	
	
		
			172 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			172 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| from __future__ import annotations
 | |
| 
 | |
| import pytest
 | |
| from packaging.version import parse as parse_version
 | |
| 
 | |
| from PIL import Image, features
 | |
| 
 | |
| from .helper import assert_image_similar, hopper, is_ppc64le, skip_unless_feature
 | |
| 
 | |
| 
 | |
| def test_sanity() -> None:
 | |
|     image = hopper()
 | |
|     converted = image.quantize()
 | |
|     assert converted.mode == "P"
 | |
|     assert_image_similar(converted.convert("RGB"), image, 10)
 | |
| 
 | |
|     image = hopper()
 | |
|     converted = image.quantize(palette=hopper("P"))
 | |
|     assert converted.mode == "P"
 | |
|     assert_image_similar(converted.convert("RGB"), image, 60)
 | |
| 
 | |
| 
 | |
| @skip_unless_feature("libimagequant")
 | |
| def test_libimagequant_quantize() -> None:
 | |
|     image = hopper()
 | |
|     if is_ppc64le():
 | |
|         version = features.version_feature("libimagequant")
 | |
|         assert version is not None
 | |
|         if parse_version(version) < parse_version("4"):
 | |
|             pytest.skip("Fails with libimagequant earlier than 4.0.0 on ppc64le")
 | |
|     converted = image.quantize(100, Image.Quantize.LIBIMAGEQUANT)
 | |
|     assert converted.mode == "P"
 | |
|     assert_image_similar(converted.convert("RGB"), image, 15)
 | |
|     colors = converted.getcolors()
 | |
|     assert colors is not None
 | |
|     assert len(colors) == 100
 | |
| 
 | |
| 
 | |
| def test_octree_quantize() -> None:
 | |
|     image = hopper()
 | |
|     converted = image.quantize(100, Image.Quantize.FASTOCTREE)
 | |
|     assert converted.mode == "P"
 | |
|     assert_image_similar(converted.convert("RGB"), image, 20)
 | |
|     colors = converted.getcolors()
 | |
|     assert colors is not None
 | |
|     assert len(colors) == 100
 | |
| 
 | |
| 
 | |
| def test_rgba_quantize() -> None:
 | |
|     image = hopper("RGBA")
 | |
|     with pytest.raises(ValueError):
 | |
|         image.quantize(method=0)
 | |
| 
 | |
|     assert image.quantize().convert().mode == "RGBA"
 | |
| 
 | |
| 
 | |
| def test_quantize() -> None:
 | |
|     with Image.open("Tests/images/caption_6_33_22.png") as image:
 | |
|         image = image.convert("RGB")
 | |
|     converted = image.quantize()
 | |
|     assert converted.mode == "P"
 | |
|     assert_image_similar(converted.convert("RGB"), image, 1)
 | |
| 
 | |
| 
 | |
| def test_quantize_no_dither() -> None:
 | |
|     image = hopper()
 | |
|     with Image.open("Tests/images/caption_6_33_22.png") as palette:
 | |
|         palette = palette.convert("P")
 | |
| 
 | |
|     converted = image.quantize(dither=Image.Dither.NONE, palette=palette)
 | |
|     assert converted.mode == "P"
 | |
|     assert converted.palette is not None
 | |
|     assert converted.palette.palette == palette.palette.palette
 | |
| 
 | |
| 
 | |
| def test_quantize_no_dither2() -> None:
 | |
|     im = Image.new("RGB", (9, 1))
 | |
|     im.putdata([(p,) * 3 for p in range(0, 36, 4)])
 | |
| 
 | |
|     palette = Image.new("P", (1, 1))
 | |
|     data = (0, 0, 0, 32, 32, 32)
 | |
|     palette.putpalette(data)
 | |
|     quantized = im.quantize(dither=Image.Dither.NONE, palette=palette)
 | |
| 
 | |
|     assert quantized.palette is not None
 | |
|     assert tuple(quantized.palette.palette) == data
 | |
| 
 | |
|     px = quantized.load()
 | |
|     assert px is not None
 | |
|     for x in range(9):
 | |
|         assert px[x, 0] == (0 if x < 5 else 1)
 | |
| 
 | |
| 
 | |
| def test_quantize_dither_diff() -> None:
 | |
|     image = hopper()
 | |
|     with Image.open("Tests/images/caption_6_33_22.png") as palette:
 | |
|         palette = palette.convert("P")
 | |
| 
 | |
|     dither = image.quantize(dither=Image.Dither.FLOYDSTEINBERG, palette=palette)
 | |
|     nodither = image.quantize(dither=Image.Dither.NONE, palette=palette)
 | |
| 
 | |
|     assert dither.tobytes() != nodither.tobytes()
 | |
| 
 | |
| 
 | |
| @pytest.mark.parametrize(
 | |
|     "method", (Image.Quantize.MEDIANCUT, Image.Quantize.MAXCOVERAGE)
 | |
| )
 | |
| def test_quantize_kmeans(method: Image.Quantize) -> None:
 | |
|     im = hopper()
 | |
|     no_kmeans = im.quantize(kmeans=0, method=method)
 | |
|     kmeans = im.quantize(kmeans=1, method=method)
 | |
|     assert kmeans.tobytes() != no_kmeans.tobytes()
 | |
| 
 | |
|     with pytest.raises(ValueError):
 | |
|         im.quantize(kmeans=-1, method=method)
 | |
| 
 | |
| 
 | |
| def test_colors() -> None:
 | |
|     im = hopper()
 | |
|     colors = 2
 | |
|     converted = im.quantize(colors)
 | |
|     assert converted.palette is not None
 | |
|     assert len(converted.palette.palette) == colors * len("RGB")
 | |
| 
 | |
| 
 | |
| def test_transparent_colors_equal() -> None:
 | |
|     im = Image.new("RGBA", (1, 2), (0, 0, 0, 0))
 | |
|     px = im.load()
 | |
|     assert px is not None
 | |
|     px[0, 1] = (255, 255, 255, 0)
 | |
| 
 | |
|     converted = im.quantize()
 | |
|     converted_px = converted.load()
 | |
|     assert converted_px is not None
 | |
|     assert converted_px[0, 0] == converted_px[0, 1]
 | |
| 
 | |
| 
 | |
| @pytest.mark.parametrize(
 | |
|     "method, color",
 | |
|     (
 | |
|         (Image.Quantize.MEDIANCUT, (0, 0, 0)),
 | |
|         (Image.Quantize.MAXCOVERAGE, (0, 0, 0)),
 | |
|         (Image.Quantize.FASTOCTREE, (0, 0, 0)),
 | |
|         (Image.Quantize.FASTOCTREE, (0, 0, 0, 0)),
 | |
|     ),
 | |
| )
 | |
| def test_palette(method: Image.Quantize, color: tuple[int, ...]) -> None:
 | |
|     im = Image.new("RGBA" if len(color) == 4 else "RGB", (1, 1), color)
 | |
| 
 | |
|     converted = im.quantize(method=method)
 | |
|     converted_px = converted.load()
 | |
|     assert converted_px is not None
 | |
|     assert converted.palette is not None
 | |
|     assert converted_px[0, 0] == converted.palette.colors[color]
 | |
| 
 | |
| 
 | |
| def test_small_palette() -> None:
 | |
|     # Arrange
 | |
|     im = hopper()
 | |
| 
 | |
|     colors = (255, 0, 0, 0, 0, 255)
 | |
|     p = Image.new("P", (1, 1))
 | |
|     p.putpalette(colors)
 | |
| 
 | |
|     # Act
 | |
|     im = im.quantize(palette=p)
 | |
| 
 | |
|     # Assert
 | |
|     quantized_colors = im.getcolors()
 | |
|     assert quantized_colors is not None
 | |
|     assert len(quantized_colors) == 2
 |