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