mirror of
https://github.com/python-pillow/Pillow.git
synced 2025-10-30 15:37:55 +03:00
364 lines
11 KiB
Python
364 lines
11 KiB
Python
from __future__ import annotations
|
|
|
|
import pytest
|
|
|
|
from PIL import Image
|
|
|
|
from .helper import CachedProperty, assert_image_equal
|
|
|
|
|
|
class TestImagingPaste:
|
|
size = 128
|
|
|
|
def assert_9points_image(
|
|
self, im: Image.Image, expected: list[tuple[int, int, int, int]]
|
|
) -> None:
|
|
px = im.load()
|
|
assert px is not None
|
|
actual = [
|
|
px[0, 0],
|
|
px[self.size // 2, 0],
|
|
px[self.size - 1, 0],
|
|
px[0, self.size // 2],
|
|
px[self.size // 2, self.size // 2],
|
|
px[self.size - 1, self.size // 2],
|
|
px[0, self.size - 1],
|
|
px[self.size // 2, self.size - 1],
|
|
px[self.size - 1, self.size - 1],
|
|
]
|
|
assert actual == [
|
|
point[0] if im.mode == "L" else point[: len(im.mode)] for point in expected
|
|
]
|
|
|
|
def assert_9points_paste(
|
|
self,
|
|
im: Image.Image,
|
|
im2: Image.Image | str | tuple[int, ...],
|
|
mask: Image.Image,
|
|
expected: list[tuple[int, int, int, int]],
|
|
) -> None:
|
|
im3 = im.copy()
|
|
im3.paste(im2, (0, 0), mask)
|
|
self.assert_9points_image(im3, expected)
|
|
|
|
# Abbreviated syntax
|
|
im.paste(im2, mask)
|
|
self.assert_9points_image(im, expected)
|
|
|
|
@CachedProperty
|
|
def mask_1(self) -> Image.Image:
|
|
mask = Image.new("1", (self.size, self.size))
|
|
px = mask.load()
|
|
assert px is not None
|
|
for y in range(mask.height):
|
|
for x in range(mask.width):
|
|
px[y, x] = (x + y) % 2
|
|
return mask
|
|
|
|
@CachedProperty
|
|
def mask_L(self) -> Image.Image:
|
|
return self.gradient_L.transpose(Image.Transpose.ROTATE_270)
|
|
|
|
@CachedProperty
|
|
def gradient_L(self) -> Image.Image:
|
|
gradient = Image.new("L", (self.size, self.size))
|
|
px = gradient.load()
|
|
assert px is not None
|
|
for y in range(gradient.height):
|
|
for x in range(gradient.width):
|
|
px[y, x] = (x + y) % 255
|
|
return gradient
|
|
|
|
@CachedProperty
|
|
def gradient_RGB(self) -> Image.Image:
|
|
return Image.merge(
|
|
"RGB",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_90),
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_180),
|
|
],
|
|
)
|
|
|
|
@CachedProperty
|
|
def gradient_LA(self) -> Image.Image:
|
|
return Image.merge(
|
|
"LA",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_90),
|
|
],
|
|
)
|
|
|
|
@CachedProperty
|
|
def gradient_RGBA(self) -> Image.Image:
|
|
return Image.merge(
|
|
"RGBA",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_90),
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_180),
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_270),
|
|
],
|
|
)
|
|
|
|
@CachedProperty
|
|
def gradient_RGBa(self) -> Image.Image:
|
|
return Image.merge(
|
|
"RGBa",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_90),
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_180),
|
|
self.gradient_L.transpose(Image.Transpose.ROTATE_270),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_solid(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "red")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
im.paste(im2, (12, 23))
|
|
|
|
im = im.crop((12, 23, im2.width + 12, im2.height + 23))
|
|
assert_image_equal(im, im2)
|
|
|
|
@pytest.mark.parametrize("y", [10, -10])
|
|
@pytest.mark.parametrize("mode", ["L", "RGB"])
|
|
@pytest.mark.parametrize("mask_mode", ["", "1", "L", "LA", "RGBa"])
|
|
def test_image_self(self, y: int, mode: str, mask_mode: str) -> None:
|
|
im = getattr(self, "gradient_" + mode)
|
|
mask = Image.new(mask_mode, im.size, 0xFFFFFFFF) if mask_mode else None
|
|
|
|
im_self = im.copy()
|
|
im_self.paste(im_self, (0, y), mask)
|
|
|
|
im_copy = im.copy()
|
|
im_copy.paste(im_copy.copy(), (0, y), mask)
|
|
|
|
assert_image_equal(im_self, im_copy)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_mask_1(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "white")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
im2,
|
|
self.mask_1,
|
|
[
|
|
(255, 255, 255, 255),
|
|
(255, 255, 255, 255),
|
|
(127, 254, 127, 0),
|
|
(255, 255, 255, 255),
|
|
(255, 255, 255, 255),
|
|
(191, 190, 63, 64),
|
|
(127, 0, 127, 254),
|
|
(191, 64, 63, 190),
|
|
(255, 255, 255, 255),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_mask_L(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "white")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
im2,
|
|
self.mask_L,
|
|
[
|
|
(128, 191, 255, 191),
|
|
(208, 239, 239, 208),
|
|
(255, 255, 255, 255),
|
|
(112, 111, 206, 207),
|
|
(192, 191, 191, 191),
|
|
(239, 239, 207, 207),
|
|
(128, 1, 128, 254),
|
|
(207, 113, 112, 207),
|
|
(255, 191, 128, 191),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_mask_LA(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "white")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
im2,
|
|
self.gradient_LA,
|
|
[
|
|
(128, 191, 255, 191),
|
|
(112, 207, 206, 111),
|
|
(128, 254, 128, 1),
|
|
(208, 208, 239, 239),
|
|
(192, 191, 191, 191),
|
|
(207, 207, 112, 113),
|
|
(255, 255, 255, 255),
|
|
(239, 207, 207, 239),
|
|
(255, 191, 128, 191),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_mask_RGBA(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "white")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
im2,
|
|
self.gradient_RGBA,
|
|
[
|
|
(128, 191, 255, 191),
|
|
(208, 239, 239, 208),
|
|
(255, 255, 255, 255),
|
|
(112, 111, 206, 207),
|
|
(192, 191, 191, 191),
|
|
(239, 239, 207, 207),
|
|
(128, 1, 128, 254),
|
|
(207, 113, 112, 207),
|
|
(255, 191, 128, 191),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_image_mask_RGBa(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "white")
|
|
im2 = getattr(self, "gradient_" + mode)
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
im2,
|
|
self.gradient_RGBa,
|
|
[
|
|
(128, 255, 126, 255),
|
|
(0, 127, 126, 255),
|
|
(126, 253, 126, 255),
|
|
(128, 127, 254, 255),
|
|
(0, 255, 254, 255),
|
|
(126, 125, 254, 255),
|
|
(128, 1, 128, 255),
|
|
(0, 129, 128, 255),
|
|
(126, 255, 128, 255),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_color_solid(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), "black")
|
|
|
|
rect = (12, 23, 128 + 12, 128 + 23)
|
|
im.paste("white", rect)
|
|
|
|
hist = im.crop(rect).histogram()
|
|
while hist:
|
|
head, hist = hist[:256], hist[256:]
|
|
assert head[255] == 128 * 128
|
|
assert sum(head[:255]) == 0
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_color_mask_1(self, mode: str) -> None:
|
|
im = Image.new(mode, (200, 200), (50, 60, 70, 80)[: len(mode)])
|
|
color = (10, 20, 30, 40)[: len(mode)]
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
color,
|
|
self.mask_1,
|
|
[
|
|
(50, 60, 70, 80),
|
|
(50, 60, 70, 80),
|
|
(10, 20, 30, 40),
|
|
(50, 60, 70, 80),
|
|
(50, 60, 70, 80),
|
|
(10, 20, 30, 40),
|
|
(10, 20, 30, 40),
|
|
(10, 20, 30, 40),
|
|
(50, 60, 70, 80),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_color_mask_L(self, mode: str) -> None:
|
|
im = getattr(self, "gradient_" + mode).copy()
|
|
color = "white"
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
color,
|
|
self.mask_L,
|
|
[
|
|
(127, 191, 254, 191),
|
|
(111, 207, 206, 110),
|
|
(127, 254, 127, 0),
|
|
(207, 207, 239, 239),
|
|
(191, 191, 190, 191),
|
|
(207, 206, 111, 112),
|
|
(254, 254, 254, 255),
|
|
(239, 206, 206, 238),
|
|
(254, 191, 127, 191),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_color_mask_RGBA(self, mode: str) -> None:
|
|
im = getattr(self, "gradient_" + mode).copy()
|
|
color = "white"
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
color,
|
|
self.gradient_RGBA,
|
|
[
|
|
(127, 191, 254, 191),
|
|
(111, 207, 206, 110),
|
|
(127, 254, 127, 0),
|
|
(207, 207, 239, 239),
|
|
(191, 191, 190, 191),
|
|
(207, 206, 111, 112),
|
|
(254, 254, 254, 255),
|
|
(239, 206, 206, 238),
|
|
(254, 191, 127, 191),
|
|
],
|
|
)
|
|
|
|
@pytest.mark.parametrize("mode", ["RGBA", "RGB", "L"])
|
|
def test_color_mask_RGBa(self, mode: str) -> None:
|
|
im = getattr(self, "gradient_" + mode).copy()
|
|
color = "white"
|
|
|
|
self.assert_9points_paste(
|
|
im,
|
|
color,
|
|
self.gradient_RGBa,
|
|
[
|
|
(255, 63, 126, 63),
|
|
(47, 143, 142, 46),
|
|
(126, 253, 126, 255),
|
|
(15, 15, 47, 47),
|
|
(63, 63, 62, 63),
|
|
(142, 141, 46, 47),
|
|
(255, 255, 255, 0),
|
|
(48, 15, 15, 47),
|
|
(126, 63, 255, 63),
|
|
],
|
|
)
|
|
|
|
def test_different_sizes(self) -> None:
|
|
im = Image.new("RGB", (100, 100))
|
|
im2 = Image.new("RGB", (50, 50))
|
|
|
|
im.copy().paste(im2)
|
|
im.copy().paste(im2, (0, 0))
|
|
|
|
def test_incorrect_abbreviated_form(self) -> None:
|
|
im = Image.new("L", (1, 1))
|
|
with pytest.raises(ValueError):
|
|
im.paste(im, im, im)
|