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Add tests. Rise for "P" and "1".
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Tests/test_imaging_stretch.py
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40
Tests/test_imaging_stretch.py
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"""
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Tests for ImagingCore.stretch functionality.
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"""
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from helper import unittest, PillowTestCase
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from PIL import Image
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im = Image.open("Tests/images/hopper.ppm").copy()
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class TestImagingStretch(PillowTestCase):
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def test_modes(self):
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self.assertRaises(ValueError, im.convert("1").im.stretch,
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(15, 12), Image.ANTIALIAS)
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self.assertRaises(ValueError, im.convert("P").im.stretch,
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(15, 12), Image.ANTIALIAS)
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for mode in ["L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr"]:
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s = im.convert(mode).im
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r = s.stretch((15, 12), Image.ANTIALIAS)
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self.assertEqual(r.mode, mode)
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self.assertEqual(r.size, (15, 12))
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self.assertEqual(r.bands, s.bands)
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def test_reduce_filters(self):
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# There is no Image.NEAREST because im.stretch implementation
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# is not NEAREST for reduction. It should be removed
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# or renamed to supersampling.
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for f in [Image.BILINEAR, Image.BICUBIC, Image.ANTIALIAS]:
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r = im.im.stretch((15, 12), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (15, 12))
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def test_enlarge_filters(self):
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for f in [Image.BILINEAR, Image.BICUBIC, Image.ANTIALIAS]:
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r = im.im.stretch((764, 414), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (764, 414))
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@ -95,6 +95,9 @@ ImagingStretch(Imaging imOut, Imaging imIn, int filter)
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if (!imOut || !imIn || strcmp(imIn->mode, imOut->mode) != 0)
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return (Imaging) ImagingError_ModeError();
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if (strcmp(imIn->mode, "P") == 0 || strcmp(imIn->mode, "1") == 0)
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return (Imaging) ImagingError_ModeError();
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/* check filter */
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switch (filter) {
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case IMAGING_TRANSFORM_NEAREST:
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