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Merge pull request #2558 from uploadcare/resize-truncate-coeffs-2
Use round instead of floor to exclude of zero coefficients
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d8f15a0706
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@ -158,14 +158,12 @@ class TestImagingCoreResampleAccuracy(PillowTestCase):
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def test_enlarge_hamming(self):
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for mode in ['RGBX', 'RGB', 'La', 'L']:
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case = self.make_case(mode, (4, 4), 0xe1)
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case = case.resize((8, 8), Image.HAMMING)
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data = ('e1 e1 ea d1'
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'e1 e1 ea d1'
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'ea ea f4 d9'
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'd1 d1 d9 c4')
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case = self.make_case(mode, (2, 2), 0xe1)
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case = case.resize((4, 4), Image.HAMMING)
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data = ('e1 d2'
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'd2 c5')
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for channel in case.split():
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self.check_case(channel, self.make_sample(data, (8, 8)))
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self.check_case(channel, self.make_sample(data, (4, 4)))
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def test_enlarge_bicubic(self):
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for mode in ['RGBX', 'RGB', 'La', 'L']:
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@ -32,6 +32,8 @@ static inline double hamming_filter(double x)
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x = -x;
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if (x == 0.0)
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return 1.0;
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if (x >= 1.0)
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return 0.0;
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x = x * M_PI;
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return sin(x) / x * (0.54f + 0.46f * cos(x));
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}
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@ -166,10 +168,12 @@ precompute_coeffs(int inSize, int outSize, struct filter *filterp,
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center = (xx + 0.5) * scale;
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ww = 0.0;
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ss = 1.0 / filterscale;
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xmin = (int) floor(center - support);
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// Round the value
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xmin = (int) (center - support + 0.5);
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if (xmin < 0)
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xmin = 0;
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xmax = (int) ceil(center + support);
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// Round the value
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xmax = (int) (center + support + 0.5);
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if (xmax > inSize)
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xmax = inSize;
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xmax -= xmin;
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@ -178,21 +182,6 @@ precompute_coeffs(int inSize, int outSize, struct filter *filterp,
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double w = filterp->filter((x + xmin - center + 0.5) * ss);
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k[x] = w;
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ww += w;
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// We can skip extreme coefficients if they are zeroes.
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if (w == 0) {
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// Skip from the start.
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if (x == 0) {
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// At next loop `x` will be 0.
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x -= 1;
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// But `w` will not be 0, because it based on `xmin`.
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xmin += 1;
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xmax -= 1;
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} else if (x == xmax - 1) {
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// Truncate the last coefficient for current `xx`.
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xmax -= 1;
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}
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}
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}
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for (x = 0; x < xmax; x++) {
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if (ww != 0.0)
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