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https://github.com/python-pillow/Pillow.git
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Merge pull request #2379 from radarhere/test
Add tests for several Image operations
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commit
7726296a93
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@ -305,6 +305,16 @@ class TestImage(PillowTestCase):
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with self.assertRaises(ValueError):
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with self.assertRaises(ValueError):
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Image.core.fill('RGB', (2,-2), (0,0,0))
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Image.core.fill('RGB', (2,-2), (0,0,0))
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def test_offset_not_implemented(self):
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# Arrange
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im = hopper()
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# Act / Assert
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self.assertRaises(NotImplementedError, lambda: im.offset(None))
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def test_fromstring(self):
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self.assertRaises(NotImplementedError, Image.fromstring)
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if __name__ == '__main__':
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if __name__ == '__main__':
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unittest.main()
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unittest.main()
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@ -28,6 +28,15 @@ class TestImagingPaste(PillowTestCase):
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]
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]
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self.assertEqual(actual, expected)
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self.assertEqual(actual, expected)
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def assert_9points_paste(self, im, im2, mask, expected):
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im3 = im.copy()
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im3.paste(im2, (0, 0), mask)
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self.assert_9points_image(im3, expected)
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# Abbreviated syntax
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im.paste(im2, mask)
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self.assert_9points_image(im, expected)
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@cached_property
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@cached_property
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def mask_1(self):
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def mask_1(self):
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mask = Image.new('1', (self.size, self.size))
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mask = Image.new('1', (self.size, self.size))
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@ -91,9 +100,7 @@ class TestImagingPaste(PillowTestCase):
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im = Image.new(mode, (200, 200), 'white')
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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im2 = getattr(self, 'gradient_' + mode)
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im.paste(im2, (0, 0), self.mask_1)
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self.assert_9points_paste(im, im2, self.mask_1, [
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self.assert_9points_image(im, [
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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(127, 254, 127, 0),
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(127, 254, 127, 0),
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@ -110,9 +117,7 @@ class TestImagingPaste(PillowTestCase):
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im = Image.new(mode, (200, 200), 'white')
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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im2 = getattr(self, 'gradient_' + mode)
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im.paste(im2, (0, 0), self.mask_L)
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self.assert_9points_paste(im, im2, self.mask_L, [
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self.assert_9points_image(im, [
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(128, 191, 255, 191),
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(128, 191, 255, 191),
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(208, 239, 239, 208),
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(208, 239, 239, 208),
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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@ -129,9 +134,7 @@ class TestImagingPaste(PillowTestCase):
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im = Image.new(mode, (200, 200), 'white')
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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im2 = getattr(self, 'gradient_' + mode)
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im.paste(im2, (0, 0), self.gradient_RGBA)
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self.assert_9points_paste(im, im2, self.gradient_RGBA, [
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self.assert_9points_image(im, [
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(128, 191, 255, 191),
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(128, 191, 255, 191),
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(208, 239, 239, 208),
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(208, 239, 239, 208),
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(255, 255, 255, 255),
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(255, 255, 255, 255),
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@ -148,9 +151,7 @@ class TestImagingPaste(PillowTestCase):
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im = Image.new(mode, (200, 200), 'white')
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im = Image.new(mode, (200, 200), 'white')
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im2 = getattr(self, 'gradient_' + mode)
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im2 = getattr(self, 'gradient_' + mode)
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im.paste(im2, (0, 0), self.gradient_RGBa)
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self.assert_9points_paste(im, im2, self.gradient_RGBa, [
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self.assert_9points_image(im, [
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(128, 255, 126, 255),
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(128, 255, 126, 255),
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(0, 127, 126, 255),
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(0, 127, 126, 255),
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(126, 253, 126, 255),
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(126, 253, 126, 255),
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@ -180,9 +181,7 @@ class TestImagingPaste(PillowTestCase):
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im = Image.new(mode, (200, 200), (50, 60, 70, 80)[:len(mode)])
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im = Image.new(mode, (200, 200), (50, 60, 70, 80)[:len(mode)])
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color = (10, 20, 30, 40)[:len(mode)]
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color = (10, 20, 30, 40)[:len(mode)]
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im.paste(color, (0, 0), self.mask_1)
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self.assert_9points_paste(im, color, self.mask_1, [
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self.assert_9points_image(im, [
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(50, 60, 70, 80),
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(50, 60, 70, 80),
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(50, 60, 70, 80),
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(50, 60, 70, 80),
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(10, 20, 30, 40),
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(10, 20, 30, 40),
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@ -199,9 +198,7 @@ class TestImagingPaste(PillowTestCase):
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im = getattr(self, 'gradient_' + mode).copy()
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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color = 'white'
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im.paste(color, (0, 0), self.mask_L)
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self.assert_9points_paste(im, color, self.mask_L, [
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self.assert_9points_image(im, [
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(127, 191, 254, 191),
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(127, 191, 254, 191),
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(111, 207, 206, 110),
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(111, 207, 206, 110),
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(127, 254, 127, 0),
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(127, 254, 127, 0),
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@ -218,9 +215,7 @@ class TestImagingPaste(PillowTestCase):
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im = getattr(self, 'gradient_' + mode).copy()
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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color = 'white'
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im.paste(color, (0, 0), self.gradient_RGBA)
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self.assert_9points_paste(im, color, self.gradient_RGBA, [
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self.assert_9points_image(im, [
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(127, 191, 254, 191),
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(127, 191, 254, 191),
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(111, 207, 206, 110),
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(111, 207, 206, 110),
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(127, 254, 127, 0),
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(127, 254, 127, 0),
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@ -237,9 +232,7 @@ class TestImagingPaste(PillowTestCase):
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im = getattr(self, 'gradient_' + mode).copy()
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im = getattr(self, 'gradient_' + mode).copy()
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color = 'white'
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color = 'white'
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im.paste(color, (0, 0), self.gradient_RGBa)
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self.assert_9points_paste(im, color, self.gradient_RGBa, [
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self.assert_9points_image(im, [
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(255, 63, 126, 63),
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(255, 63, 126, 63),
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(47, 143, 142, 46),
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(47, 143, 142, 46),
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(126, 253, 126, 255),
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(126, 253, 126, 255),
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@ -35,6 +35,9 @@ class TestImagePoint(PillowTestCase):
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int_lut = [x//2 for x in range(256)]
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int_lut = [x//2 for x in range(256)]
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self.assert_image_equal(out.convert('L'), im.point(int_lut, 'L'))
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self.assert_image_equal(out.convert('L'), im.point(int_lut, 'L'))
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def test_f_mode(self):
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self.assertRaises(ValueError, lambda: hopper('F').point(None))
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if __name__ == '__main__':
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if __name__ == '__main__':
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unittest.main()
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unittest.main()
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@ -97,6 +97,9 @@ class TestImagingCoreResize(PillowTestCase):
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self.assertEqual(r.size, (212, 195))
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self.assertEqual(r.size, (212, 195))
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self.assertEqual(r.getdata()[0], (0,0,0))
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self.assertEqual(r.getdata()[0], (0,0,0))
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def test_unknown_filter(self):
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self.assertRaises(ValueError, self.resize, hopper(), (10, 10), 9)
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class TestImageResize(PillowTestCase):
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class TestImageResize(PillowTestCase):
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@ -140,6 +140,10 @@ class TestImageTransform(PillowTestCase):
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self.test_mesh()
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self.test_mesh()
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def test_missing_method_data(self):
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self.assertRaises(ValueError, lambda:
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hopper().transform((100, 100), None))
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class TestImageTransformAffine(PillowTestCase):
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class TestImageTransformAffine(PillowTestCase):
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transform = Image.AFFINE
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transform = Image.AFFINE
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