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182 lines
6.2 KiB
Python
182 lines
6.2 KiB
Python
from tester import *
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from PIL import Image
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from PIL import ImageFile
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codecs = dir(Image.core)
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if "jpeg_encoder" not in codecs or "jpeg_decoder" not in codecs:
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skip("jpeg support not available")
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# sample jpeg stream
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file = "Images/lena.jpg"
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data = open(file, "rb").read()
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def roundtrip(im, **options):
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out = BytesIO()
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im.save(out, "JPEG", **options)
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bytes = out.tell()
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out.seek(0)
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im = Image.open(out)
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im.bytes = bytes # for testing only
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return im
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# --------------------------------------------------------------------
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def test_sanity():
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# internal version number
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assert_match(Image.core.jpeglib_version, "\d+\.\d+$")
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im = Image.open(file)
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im.load()
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assert_equal(im.mode, "RGB")
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assert_equal(im.size, (128, 128))
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assert_equal(im.format, "JPEG")
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# --------------------------------------------------------------------
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def test_app():
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# Test APP/COM reader (@PIL135)
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im = Image.open(file)
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assert_equal(im.applist[0],
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("APP0", b"JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00"))
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assert_equal(im.applist[1], ("COM", b"Python Imaging Library"))
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assert_equal(len(im.applist), 2)
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def test_cmyk():
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# Test CMYK handling. Thanks to Tim and Charlie for test data,
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# Michael for getting me to look one more time.
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file = "Tests/images/pil_sample_cmyk.jpg"
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im = Image.open(file)
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# the source image has red pixels in the upper left corner.
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c, m, y, k = [x / 255.0 for x in im.getpixel((0, 0))]
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assert_true(c == 0.0 and m > 0.8 and y > 0.8 and k == 0.0)
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# the opposite corner is black
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c, m, y, k = [x / 255.0 for x in im.getpixel((im.size[0]-1, im.size[1]-1))]
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assert_true(k > 0.9)
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# roundtrip, and check again
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im = roundtrip(im)
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c, m, y, k = [x / 255.0 for x in im.getpixel((0, 0))]
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assert_true(c == 0.0 and m > 0.8 and y > 0.8 and k == 0.0)
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c, m, y, k = [x / 255.0 for x in im.getpixel((im.size[0]-1, im.size[1]-1))]
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assert_true(k > 0.9)
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def test_dpi():
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def test(xdpi, ydpi=None):
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im = Image.open(file)
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im = roundtrip(im, dpi=(xdpi, ydpi or xdpi))
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return im.info.get("dpi")
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assert_equal(test(72), (72, 72))
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assert_equal(test(300), (300, 300))
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assert_equal(test(100, 200), (100, 200))
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assert_equal(test(0), None) # square pixels
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def test_icc():
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# Test ICC support
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im1 = Image.open("Tests/images/rgb.jpg")
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icc_profile = im1.info["icc_profile"]
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assert_equal(len(icc_profile), 3144)
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# Roundtrip via physical file.
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file = tempfile("temp.jpg")
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im1.save(file, icc_profile=icc_profile)
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im2 = Image.open(file)
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assert_equal(im2.info.get("icc_profile"), icc_profile)
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# Roundtrip via memory buffer.
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im1 = roundtrip(lena())
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im2 = roundtrip(lena(), icc_profile=icc_profile)
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assert_image_equal(im1, im2)
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assert_false(im1.info.get("icc_profile"))
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assert_true(im2.info.get("icc_profile"))
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def test_icc_big():
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# Make sure that the "extra" support handles large blocks
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def test(n):
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# The ICC APP marker can store 65519 bytes per marker, so
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# using a 4-byte test code should allow us to detect out of
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# order issues.
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icc_profile = (b"Test"*int(n/4+1))[:n]
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assert len(icc_profile) == n # sanity
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im1 = roundtrip(lena(), icc_profile=icc_profile)
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assert_equal(im1.info.get("icc_profile"), icc_profile or None)
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test(0); test(1)
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test(3); test(4); test(5)
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test(65533-14) # full JPEG marker block
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test(65533-14+1) # full block plus one byte
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test(ImageFile.MAXBLOCK) # full buffer block
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test(ImageFile.MAXBLOCK+1) # full buffer block plus one byte
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test(ImageFile.MAXBLOCK*4+3) # large block
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def test_optimize():
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im1 = roundtrip(lena())
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im2 = roundtrip(lena(), optimize=1)
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assert_image_equal(im1, im2)
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assert_true(im1.bytes >= im2.bytes)
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def test_optimize_large_buffer():
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#https://github.com/python-imaging/Pillow/issues/148
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f = tempfile('temp.jpg')
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# this requires ~ 1.5x Image.MAXBLOCK
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im = Image.new("RGB", (4096,4096), 0xff3333)
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im.save(f, format="JPEG", optimize=True)
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def test_large_exif():
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#https://github.com/python-imaging/Pillow/issues/148
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f = tempfile('temp.jpg')
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im = lena()
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im.save(f,'JPEG', quality=90, exif=b"1"*65532)
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def test_progressive():
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im1 = roundtrip(lena())
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im2 = roundtrip(lena(), progressive=1)
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im3 = roundtrip(lena(), progression=1) # compatibility
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assert_image_equal(im1, im2)
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assert_image_equal(im1, im3)
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assert_false(im1.info.get("progressive"))
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assert_false(im1.info.get("progression"))
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assert_true(im2.info.get("progressive"))
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assert_true(im2.info.get("progression"))
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assert_true(im3.info.get("progressive"))
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assert_true(im3.info.get("progression"))
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def test_quality():
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im1 = roundtrip(lena())
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im2 = roundtrip(lena(), quality=50)
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assert_image(im1, im2.mode, im2.size)
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assert_true(im1.bytes >= im2.bytes)
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def test_smooth():
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im1 = roundtrip(lena())
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im2 = roundtrip(lena(), smooth=100)
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assert_image(im1, im2.mode, im2.size)
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def test_subsampling():
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def getsampling(im):
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layer = im.layer
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return layer[0][1:3] + layer[1][1:3] + layer[2][1:3]
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# experimental API
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im = roundtrip(lena(), subsampling=-1) # default
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assert_equal(getsampling(im), (2, 2, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling=0) # 4:4:4
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assert_equal(getsampling(im), (1, 1, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling=1) # 4:2:2
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assert_equal(getsampling(im), (2, 1, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling=2) # 4:1:1
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assert_equal(getsampling(im), (2, 2, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling=3) # default (undefined)
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assert_equal(getsampling(im), (2, 2, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling="4:4:4")
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assert_equal(getsampling(im), (1, 1, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling="4:2:2")
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assert_equal(getsampling(im), (2, 1, 1, 1, 1, 1))
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im = roundtrip(lena(), subsampling="4:1:1")
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assert_equal(getsampling(im), (2, 2, 1, 1, 1, 1))
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assert_exception(TypeError, lambda: roundtrip(lena(), subsampling="1:1:1"))
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def test_exif():
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im = Image.open("Tests/images/pil_sample_rgb.jpg")
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info = im._getexif()
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assert_equal(info[305], 'Adobe Photoshop CS Macintosh')
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