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7da17ad41e
The previous test configuration made it difficult to run a single test with the pytest CLI. There were two major issues: - The Tests directory was not a package. It now includes a __init__.py file and imports from other tests modules are done with relative imports. - setup.cfg always specified the Tests directory. So even if a specific test were specified as a CLI arg, this configuration would also always include all tests. This configuration has been removed to allow specifying a single test on the command line. Contributors can now run specific tests with a single command such as: $ tox -e py37 -- Tests/test_file_pdf.py::TestFilePdf.test_rgb This makes it easy and faster to iterate on a single test failure and is very familiar to those that have previously used tox and pytest. When running tox or pytest with no arguments, they still discover and runs all tests in the Tests directory.
225 lines
8.3 KiB
Python
225 lines
8.3 KiB
Python
from .helper import unittest, PillowTestCase, hopper
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from PIL import ImageOps
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from PIL import Image
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class TestImageOps(PillowTestCase):
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class Deformer(object):
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def getmesh(self, im):
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x, y = im.size
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return [((0, 0, x, y), (0, 0, x, 0, x, y, y, 0))]
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deformer = Deformer()
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def test_sanity(self):
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ImageOps.autocontrast(hopper("L"))
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ImageOps.autocontrast(hopper("RGB"))
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ImageOps.autocontrast(hopper("L"), cutoff=10)
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ImageOps.autocontrast(hopper("L"), ignore=[0, 255])
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ImageOps.colorize(hopper("L"), (0, 0, 0), (255, 255, 255))
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ImageOps.colorize(hopper("L"), "black", "white")
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ImageOps.pad(hopper("L"), (128, 128))
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ImageOps.pad(hopper("RGB"), (128, 128))
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ImageOps.crop(hopper("L"), 1)
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ImageOps.crop(hopper("RGB"), 1)
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ImageOps.deform(hopper("L"), self.deformer)
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ImageOps.deform(hopper("RGB"), self.deformer)
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ImageOps.equalize(hopper("L"))
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ImageOps.equalize(hopper("RGB"))
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ImageOps.expand(hopper("L"), 1)
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ImageOps.expand(hopper("RGB"), 1)
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ImageOps.expand(hopper("L"), 2, "blue")
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ImageOps.expand(hopper("RGB"), 2, "blue")
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ImageOps.fit(hopper("L"), (128, 128))
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ImageOps.fit(hopper("RGB"), (128, 128))
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ImageOps.flip(hopper("L"))
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ImageOps.flip(hopper("RGB"))
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ImageOps.grayscale(hopper("L"))
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ImageOps.grayscale(hopper("RGB"))
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ImageOps.invert(hopper("L"))
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ImageOps.invert(hopper("RGB"))
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ImageOps.mirror(hopper("L"))
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ImageOps.mirror(hopper("RGB"))
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ImageOps.posterize(hopper("L"), 4)
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ImageOps.posterize(hopper("RGB"), 4)
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ImageOps.solarize(hopper("L"))
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ImageOps.solarize(hopper("RGB"))
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def test_1pxfit(self):
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# Division by zero in equalize if image is 1 pixel high
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newimg = ImageOps.fit(hopper("RGB").resize((1, 1)), (35, 35))
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self.assertEqual(newimg.size, (35, 35))
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newimg = ImageOps.fit(hopper("RGB").resize((1, 100)), (35, 35))
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self.assertEqual(newimg.size, (35, 35))
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newimg = ImageOps.fit(hopper("RGB").resize((100, 1)), (35, 35))
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self.assertEqual(newimg.size, (35, 35))
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def test_pad(self):
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# Same ratio
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im = hopper()
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new_size = (im.width * 2, im.height * 2)
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new_im = ImageOps.pad(im, new_size)
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self.assertEqual(new_im.size, new_size)
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for label, color, new_size in [
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("h", None, (im.width * 4, im.height * 2)),
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("v", "#f00", (im.width * 2, im.height * 4))
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]:
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for i, centering in enumerate([(0, 0), (0.5, 0.5), (1, 1)]):
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new_im = ImageOps.pad(im, new_size,
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color=color, centering=centering)
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self.assertEqual(new_im.size, new_size)
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target = Image.open(
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"Tests/images/imageops_pad_"+label+"_"+str(i)+".jpg")
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self.assert_image_similar(new_im, target, 6)
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def test_pil163(self):
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# Division by zero in equalize if < 255 pixels in image (@PIL163)
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i = hopper("RGB").resize((15, 16))
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ImageOps.equalize(i.convert("L"))
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ImageOps.equalize(i.convert("P"))
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ImageOps.equalize(i.convert("RGB"))
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def test_scale(self):
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# Test the scaling function
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i = hopper("L").resize((50, 50))
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with self.assertRaises(ValueError):
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ImageOps.scale(i, -1)
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newimg = ImageOps.scale(i, 1)
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self.assertEqual(newimg.size, (50, 50))
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newimg = ImageOps.scale(i, 2)
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self.assertEqual(newimg.size, (100, 100))
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newimg = ImageOps.scale(i, 0.5)
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self.assertEqual(newimg.size, (25, 25))
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def test_colorize_2color(self):
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# Test the colorizing function with 2-color functionality
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# Open test image (256px by 10px, black to white)
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im = Image.open("Tests/images/bw_gradient.png")
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im = im.convert("L")
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# Create image with original 2-color functionality
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im_test = ImageOps.colorize(im, 'red', 'green')
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# Test output image (2-color)
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left = (0, 1)
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middle = (127, 1)
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right = (255, 1)
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self.assert_tuple_approx_equal(im_test.getpixel(left),
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(255, 0, 0),
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threshold=1,
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msg='black test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(middle),
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(127, 63, 0),
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threshold=1,
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msg='mid test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(right),
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(0, 127, 0),
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threshold=1,
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msg='white test pixel incorrect')
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def test_colorize_2color_offset(self):
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# Test the colorizing function with 2-color functionality and offset
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# Open test image (256px by 10px, black to white)
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im = Image.open("Tests/images/bw_gradient.png")
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im = im.convert("L")
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# Create image with original 2-color functionality with offsets
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im_test = ImageOps.colorize(im,
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black='red',
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white='green',
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blackpoint=50,
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whitepoint=100)
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# Test output image (2-color) with offsets
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left = (25, 1)
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middle = (75, 1)
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right = (125, 1)
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self.assert_tuple_approx_equal(im_test.getpixel(left),
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(255, 0, 0),
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threshold=1,
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msg='black test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(middle),
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(127, 63, 0),
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threshold=1,
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msg='mid test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(right),
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(0, 127, 0),
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threshold=1,
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msg='white test pixel incorrect')
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def test_colorize_3color_offset(self):
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# Test the colorizing function with 3-color functionality and offset
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# Open test image (256px by 10px, black to white)
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im = Image.open("Tests/images/bw_gradient.png")
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im = im.convert("L")
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# Create image with new three color functionality with offsets
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im_test = ImageOps.colorize(im,
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black='red',
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white='green',
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mid='blue',
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blackpoint=50,
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whitepoint=200,
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midpoint=100)
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# Test output image (3-color) with offsets
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left = (25, 1)
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left_middle = (75, 1)
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middle = (100, 1)
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right_middle = (150, 1)
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right = (225, 1)
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self.assert_tuple_approx_equal(im_test.getpixel(left),
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(255, 0, 0),
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threshold=1,
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msg='black test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(left_middle),
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(127, 0, 127),
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threshold=1,
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msg='low-mid test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(middle),
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(0, 0, 255),
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threshold=1,
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msg='mid incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(right_middle),
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(0, 63, 127),
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threshold=1,
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msg='high-mid test pixel incorrect')
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self.assert_tuple_approx_equal(im_test.getpixel(right),
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(0, 127, 0),
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threshold=1,
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msg='white test pixel incorrect')
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if __name__ == '__main__':
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unittest.main()
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