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			257 lines
		
	
	
		
			8.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			257 lines
		
	
	
		
			8.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| from helper import unittest, PillowTestCase, cached_property
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| 
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| from PIL import Image
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| 
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| 
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| class TestImagingPaste(PillowTestCase):
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|     masks = {}
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|     size = 128
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| 
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|     def assert_9points_image(self, im, expected):
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|         expected = [
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|             point[0]
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|             if im.mode == 'L' else
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|             point[:len(im.mode)]
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|             for point in expected
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|         ]
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|         px = im.load()
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|         actual = [
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|             px[0, 0],
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|             px[self.size // 2, 0],
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|             px[self.size - 1, 0],
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|             px[0, self.size // 2],
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|             px[self.size // 2, self.size // 2],
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|             px[self.size - 1, self.size // 2],
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|             px[0, self.size - 1],
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|             px[self.size // 2, self.size - 1],
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|             px[self.size - 1, self.size - 1],
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|         ]
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|         self.assertEqual(actual, expected)
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| 
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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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| 
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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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| 
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|     @cached_property
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|     def mask_1(self):
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|         mask = Image.new('1', (self.size, self.size))
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|         px = mask.load()
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|         for y in range(mask.height):
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|             for x in range(mask.width):
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|                 px[y, x] = (x + y) % 2
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|         return mask
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| 
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|     @cached_property
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|     def mask_L(self):
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|         return self.gradient_L.transpose(Image.ROTATE_270)
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| 
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|     @cached_property
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|     def gradient_L(self):
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|         gradient = Image.new('L', (self.size, self.size))
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|         px = gradient.load()
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|         for y in range(gradient.height):
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|             for x in range(gradient.width):
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|                 px[y, x] = (x + y) % 255
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|         return gradient
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| 
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|     @cached_property
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|     def gradient_RGB(self):
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|         return Image.merge('RGB', [
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|             self.gradient_L,
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|             self.gradient_L.transpose(Image.ROTATE_90),
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|             self.gradient_L.transpose(Image.ROTATE_180),
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|         ])
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| 
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|     @cached_property
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|     def gradient_RGBA(self):
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|         return Image.merge('RGBA', [
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|             self.gradient_L,
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|             self.gradient_L.transpose(Image.ROTATE_90),
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|             self.gradient_L.transpose(Image.ROTATE_180),
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|             self.gradient_L.transpose(Image.ROTATE_270),
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|         ])
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| 
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|     @cached_property
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|     def gradient_RGBa(self):
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|         return Image.merge('RGBa', [
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|             self.gradient_L,
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|             self.gradient_L.transpose(Image.ROTATE_90),
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|             self.gradient_L.transpose(Image.ROTATE_180),
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|             self.gradient_L.transpose(Image.ROTATE_270),
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|         ])
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| 
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|     def test_image_solid(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'red')
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|             im2 = getattr(self, 'gradient_' + mode)
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| 
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|             im.paste(im2, (12, 23))
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| 
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|             im = im.crop((12, 23, im2.width + 12, im2.height + 23))
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|             self.assert_image_equal(im, im2)
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| 
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|     def test_image_mask_1(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'white')
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|             im2 = getattr(self, 'gradient_' + mode)
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| 
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|             self.assert_9points_paste(im, im2, self.mask_1, [
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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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|                 (255, 255, 255, 255),
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|                 (255, 255, 255, 255),
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|                 (191, 190, 63, 64),
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|                 (127, 0, 127, 254),
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|                 (191, 64, 63, 190),
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|                 (255, 255, 255, 255),
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|             ])
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| 
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|     def test_image_mask_L(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'white')
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|             im2 = getattr(self, 'gradient_' + mode)
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| 
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|             self.assert_9points_paste(im, im2, self.mask_L, [
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|                 (128, 191, 255, 191),
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|                 (208, 239, 239, 208),
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|                 (255, 255, 255, 255),
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|                 (112, 111, 206, 207),
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|                 (192, 191, 191, 191),
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|                 (239, 239, 207, 207),
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|                 (128, 1, 128, 254),
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|                 (207, 113, 112, 207),
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|                 (255, 191, 128, 191),
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|             ])
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| 
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|     def test_image_mask_RGBA(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'white')
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|             im2 = getattr(self, 'gradient_' + mode)
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| 
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|             self.assert_9points_paste(im, im2, self.gradient_RGBA, [
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|                 (128, 191, 255, 191),
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|                 (208, 239, 239, 208),
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|                 (255, 255, 255, 255),
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|                 (112, 111, 206, 207),
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|                 (192, 191, 191, 191),
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|                 (239, 239, 207, 207),
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|                 (128, 1, 128, 254),
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|                 (207, 113, 112, 207),
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|                 (255, 191, 128, 191),
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|             ])
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| 
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|     def test_image_mask_RGBa(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'white')
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|             im2 = getattr(self, 'gradient_' + mode)
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| 
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|             self.assert_9points_paste(im, im2, self.gradient_RGBa, [
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|                 (128, 255, 126, 255),
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|                 (0, 127, 126, 255),
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|                 (126, 253, 126, 255),
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|                 (128, 127, 254, 255),
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|                 (0, 255, 254, 255),
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|                 (126, 125, 254, 255),
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|                 (128, 1, 128, 255),
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|                 (0, 129, 128, 255),
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|                 (126, 255, 128, 255),
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|             ])
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| 
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|     def test_color_solid(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = Image.new(mode, (200, 200), 'black')
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| 
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|             rect = (12, 23, 128 + 12, 128 + 23)
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|             im.paste('white', rect)
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| 
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|             hist = im.crop(rect).histogram()
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|             while hist:
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|                 head, hist = hist[:256], hist[256:]
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|                 self.assertEqual(head[255], 128 * 128)
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|                 self.assertEqual(sum(head[:255]), 0)
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| 
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|     def test_color_mask_1(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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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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| 
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|             self.assert_9points_paste(im, color, self.mask_1, [
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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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|                 (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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|                 (10, 20, 30, 40),
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|                 (50, 60, 70, 80),
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|             ])
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| 
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|     def test_color_mask_L(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = getattr(self, 'gradient_' + mode).copy()
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|             color = 'white'
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| 
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|             self.assert_9points_paste(im, color, self.mask_L, [
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|                 (127, 191, 254, 191),
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|                 (111, 207, 206, 110),
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|                 (127, 254, 127, 0),
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|                 (207, 207, 239, 239),
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|                 (191, 191, 190, 191),
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|                 (207, 206, 111, 112),
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|                 (254, 254, 254, 255),
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|                 (239, 206, 206, 238),
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|                 (254, 191, 127, 191),
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|             ])
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| 
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|     def test_color_mask_RGBA(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = getattr(self, 'gradient_' + mode).copy()
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|             color = 'white'
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| 
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|             self.assert_9points_paste(im, color, self.gradient_RGBA, [
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|                 (127, 191, 254, 191),
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|                 (111, 207, 206, 110),
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|                 (127, 254, 127, 0),
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|                 (207, 207, 239, 239),
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|                 (191, 191, 190, 191),
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|                 (207, 206, 111, 112),
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|                 (254, 254, 254, 255),
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|                 (239, 206, 206, 238),
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|                 (254, 191, 127, 191),
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|             ])
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| 
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|     def test_color_mask_RGBa(self):
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|         for mode in ('RGBA', 'RGB', 'L'):
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|             im = getattr(self, 'gradient_' + mode).copy()
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|             color = 'white'
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| 
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|             self.assert_9points_paste(im, color, self.gradient_RGBa, [
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|                 (255, 63, 126, 63),
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|                 (47, 143, 142, 46),
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|                 (126, 253, 126, 255),
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|                 (15, 15, 47, 47),
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|                 (63, 63, 62, 63),
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|                 (142, 141, 46, 47),
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|                 (255, 255, 255, 0),
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|                 (48, 15, 15, 47),
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|                 (126, 63, 255, 63)
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|             ])
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| 
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|     def test_different_sizes(self):
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|         im = Image.new('RGB', (100, 100))
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|         im2 = Image.new('RGB', (50, 50))
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| 
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|         im.copy().paste(im2)
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|         im.copy().paste(im2, (0, 0))
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| 
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| 
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| if __name__ == '__main__':
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|     unittest.main()
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