Pillow/Tests/test_box_blur.py
Jon Dufresne d50445ff30 Introduce isort to automate import ordering and formatting
Similar to the recent adoption of Black. isort is a Python utility to
sort imports alphabetically and automatically separate into sections. By
using isort, contributors can quickly and automatically conform to the
projects style without thinking. Just let the tool do it.

Uses the configuration recommended by the Black to avoid conflicts of
style.

Rewrite TestImageQt.test_deprecated to no rely on import order.
2019-07-06 16:11:35 -07:00

248 lines
7.6 KiB
Python

from PIL import Image, ImageFilter
from .helper import PillowTestCase
sample = Image.new("L", (7, 5))
# fmt: off
sample.putdata(sum([
[210, 50, 20, 10, 220, 230, 80],
[190, 210, 20, 180, 170, 40, 110],
[120, 210, 250, 60, 220, 0, 220],
[220, 40, 230, 80, 130, 250, 40],
[250, 0, 80, 30, 60, 20, 110],
], []))
# fmt: on
class TestBoxBlurApi(PillowTestCase):
def test_imageops_box_blur(self):
i = sample.filter(ImageFilter.BoxBlur(1))
self.assertEqual(i.mode, sample.mode)
self.assertEqual(i.size, sample.size)
self.assertIsInstance(i, Image.Image)
class TestBoxBlur(PillowTestCase):
def box_blur(self, image, radius=1, n=1):
return image._new(image.im.box_blur(radius, n))
def assertImage(self, im, data, delta=0):
it = iter(im.getdata())
for data_row in data:
im_row = [next(it) for _ in range(im.size[0])]
if any(
abs(data_v - im_v) > delta for data_v, im_v in zip(data_row, im_row)
):
self.assertEqual(im_row, data_row)
self.assertRaises(StopIteration, next, it)
def assertBlur(self, im, radius, data, passes=1, delta=0):
# check grayscale image
self.assertImage(self.box_blur(im, radius, passes), data, delta)
rgba = Image.merge("RGBA", (im, im, im, im))
for band in self.box_blur(rgba, radius, passes).split():
self.assertImage(band, data, delta)
def test_color_modes(self):
self.assertRaises(ValueError, self.box_blur, sample.convert("1"))
self.assertRaises(ValueError, self.box_blur, sample.convert("P"))
self.box_blur(sample.convert("L"))
self.box_blur(sample.convert("LA"))
self.box_blur(sample.convert("LA").convert("La"))
self.assertRaises(ValueError, self.box_blur, sample.convert("I"))
self.assertRaises(ValueError, self.box_blur, sample.convert("F"))
self.box_blur(sample.convert("RGB"))
self.box_blur(sample.convert("RGBA"))
self.box_blur(sample.convert("RGBA").convert("RGBa"))
self.box_blur(sample.convert("CMYK"))
self.assertRaises(ValueError, self.box_blur, sample.convert("YCbCr"))
def test_radius_0(self):
self.assertBlur(
sample,
0,
[
# fmt: off
[210, 50, 20, 10, 220, 230, 80],
[190, 210, 20, 180, 170, 40, 110],
[120, 210, 250, 60, 220, 0, 220],
[220, 40, 230, 80, 130, 250, 40],
[250, 0, 80, 30, 60, 20, 110],
# fmt: on
],
)
def test_radius_0_02(self):
self.assertBlur(
sample,
0.02,
[
# fmt: off
[206, 55, 20, 17, 215, 223, 83],
[189, 203, 31, 171, 169, 46, 110],
[125, 206, 241, 69, 210, 13, 210],
[215, 49, 221, 82, 131, 235, 48],
[244, 7, 80, 32, 60, 27, 107],
# fmt: on
],
delta=2,
)
def test_radius_0_05(self):
self.assertBlur(
sample,
0.05,
[
# fmt: off
[202, 62, 22, 27, 209, 215, 88],
[188, 194, 44, 161, 168, 56, 111],
[131, 201, 229, 81, 198, 31, 198],
[209, 62, 209, 86, 133, 216, 59],
[237, 17, 80, 36, 60, 35, 103],
# fmt: on
],
delta=2,
)
def test_radius_0_1(self):
self.assertBlur(
sample,
0.1,
[
# fmt: off
[196, 72, 24, 40, 200, 203, 93],
[187, 183, 62, 148, 166, 68, 111],
[139, 193, 213, 96, 182, 54, 182],
[201, 78, 193, 91, 133, 191, 73],
[227, 31, 80, 42, 61, 47, 99],
# fmt: on
],
delta=1,
)
def test_radius_0_5(self):
self.assertBlur(
sample,
0.5,
[
# fmt: off
[176, 101, 46, 83, 163, 165, 111],
[176, 149, 108, 122, 144, 120, 117],
[164, 171, 159, 141, 134, 119, 129],
[170, 136, 133, 114, 116, 124, 109],
[184, 95, 72, 70, 69, 81, 89],
# fmt: on
],
delta=1,
)
def test_radius_1(self):
self.assertBlur(
sample,
1,
[
# fmt: off
[170, 109, 63, 97, 146, 153, 116],
[168, 142, 112, 128, 126, 143, 121],
[169, 166, 142, 149, 126, 131, 114],
[159, 156, 109, 127, 94, 117, 112],
[164, 128, 63, 87, 76, 89, 90],
# fmt: on
],
delta=1,
)
def test_radius_1_5(self):
self.assertBlur(
sample,
1.5,
[
# fmt: off
[155, 120, 105, 112, 124, 137, 130],
[160, 136, 124, 125, 127, 134, 130],
[166, 147, 130, 125, 120, 121, 119],
[168, 145, 119, 109, 103, 105, 110],
[168, 134, 96, 85, 85, 89, 97],
# fmt: on
],
delta=1,
)
def test_radius_bigger_then_half(self):
self.assertBlur(
sample,
3,
[
# fmt: off
[144, 145, 142, 128, 114, 115, 117],
[148, 145, 137, 122, 109, 111, 112],
[152, 145, 131, 117, 103, 107, 108],
[156, 144, 126, 111, 97, 102, 103],
[160, 144, 121, 106, 92, 98, 99],
# fmt: on
],
delta=1,
)
def test_radius_bigger_then_width(self):
self.assertBlur(
sample,
10,
[
[158, 153, 147, 141, 135, 129, 123],
[159, 153, 147, 141, 136, 130, 124],
[159, 154, 148, 142, 136, 130, 124],
[160, 154, 148, 142, 137, 131, 125],
[160, 155, 149, 143, 137, 131, 125],
],
delta=0,
)
def test_extreme_large_radius(self):
self.assertBlur(
sample,
600,
[
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
],
delta=1,
)
def test_two_passes(self):
self.assertBlur(
sample,
1,
[
# fmt: off
[153, 123, 102, 109, 132, 135, 129],
[159, 138, 123, 121, 133, 131, 126],
[162, 147, 136, 124, 127, 121, 121],
[159, 140, 125, 108, 111, 106, 108],
[154, 126, 105, 87, 94, 93, 97],
# fmt: on
],
passes=2,
delta=1,
)
def test_three_passes(self):
self.assertBlur(
sample,
1,
[
# fmt: off
[146, 131, 116, 118, 126, 131, 130],
[151, 138, 125, 123, 126, 128, 127],
[154, 143, 129, 123, 120, 120, 119],
[152, 139, 122, 113, 108, 108, 108],
[148, 132, 112, 102, 97, 99, 100],
# fmt: on
],
passes=3,
delta=1,
)