mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-27 10:26:19 +03:00
299 lines
9.1 KiB
Python
299 lines
9.1 KiB
Python
from .helper import PillowTestCase, cached_property
|
|
|
|
from PIL import Image
|
|
|
|
|
|
class TestImagingPaste(PillowTestCase):
|
|
masks = {}
|
|
size = 128
|
|
|
|
def assert_9points_image(self, im, expected):
|
|
expected = [
|
|
point[0] if im.mode == "L" else point[: len(im.mode)] for point in expected
|
|
]
|
|
px = im.load()
|
|
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],
|
|
]
|
|
self.assertEqual(actual, expected)
|
|
|
|
def assert_9points_paste(self, im, im2, mask, expected):
|
|
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)
|
|
|
|
@cached_property
|
|
def mask_1(self):
|
|
mask = Image.new("1", (self.size, self.size))
|
|
px = mask.load()
|
|
for y in range(mask.height):
|
|
for x in range(mask.width):
|
|
px[y, x] = (x + y) % 2
|
|
return mask
|
|
|
|
@cached_property
|
|
def mask_L(self):
|
|
return self.gradient_L.transpose(Image.ROTATE_270)
|
|
|
|
@cached_property
|
|
def gradient_L(self):
|
|
gradient = Image.new("L", (self.size, self.size))
|
|
px = gradient.load()
|
|
for y in range(gradient.height):
|
|
for x in range(gradient.width):
|
|
px[y, x] = (x + y) % 255
|
|
return gradient
|
|
|
|
@cached_property
|
|
def gradient_RGB(self):
|
|
return Image.merge(
|
|
"RGB",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.ROTATE_90),
|
|
self.gradient_L.transpose(Image.ROTATE_180),
|
|
],
|
|
)
|
|
|
|
@cached_property
|
|
def gradient_RGBA(self):
|
|
return Image.merge(
|
|
"RGBA",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.ROTATE_90),
|
|
self.gradient_L.transpose(Image.ROTATE_180),
|
|
self.gradient_L.transpose(Image.ROTATE_270),
|
|
],
|
|
)
|
|
|
|
@cached_property
|
|
def gradient_RGBa(self):
|
|
return Image.merge(
|
|
"RGBa",
|
|
[
|
|
self.gradient_L,
|
|
self.gradient_L.transpose(Image.ROTATE_90),
|
|
self.gradient_L.transpose(Image.ROTATE_180),
|
|
self.gradient_L.transpose(Image.ROTATE_270),
|
|
],
|
|
)
|
|
|
|
def test_image_solid(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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))
|
|
self.assert_image_equal(im, im2)
|
|
|
|
def test_image_mask_1(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_image_mask_L(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_image_mask_RGBA(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_image_mask_RGBa(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_color_solid(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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:]
|
|
self.assertEqual(head[255], 128 * 128)
|
|
self.assertEqual(sum(head[:255]), 0)
|
|
|
|
def test_color_mask_1(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_color_mask_L(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_color_mask_RGBA(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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),
|
|
],
|
|
)
|
|
|
|
def test_color_mask_RGBa(self):
|
|
for mode in ("RGBA", "RGB", "L"):
|
|
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):
|
|
im = Image.new("RGB", (100, 100))
|
|
im2 = Image.new("RGB", (50, 50))
|
|
|
|
im.copy().paste(im2)
|
|
im.copy().paste(im2, (0, 0))
|