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Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
166 lines
5.1 KiB
Python
166 lines
5.1 KiB
Python
from PIL import Image
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from .helper import PillowTestCase
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try:
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from PIL import _webp
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HAVE_WEBP = True
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except ImportError:
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HAVE_WEBP = False
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class TestFileWebpAnimation(PillowTestCase):
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def setUp(self):
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if not HAVE_WEBP:
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self.skipTest("WebP support not installed")
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return
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if not _webp.HAVE_WEBPANIM:
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self.skipTest(
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"WebP library does not contain animation support, "
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"not testing animation"
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)
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def test_n_frames(self):
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"""
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Ensure that WebP format sets n_frames and is_animated
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attributes correctly.
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"""
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with Image.open("Tests/images/hopper.webp") as im:
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self.assertEqual(im.n_frames, 1)
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self.assertFalse(im.is_animated)
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with Image.open("Tests/images/iss634.webp") as im:
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self.assertEqual(im.n_frames, 42)
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self.assertTrue(im.is_animated)
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def test_write_animation_L(self):
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"""
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Convert an animated GIF to animated WebP, then compare the
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frame count, and first and last frames to ensure they're
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visually similar.
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"""
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with Image.open("Tests/images/iss634.gif") as orig:
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self.assertGreater(orig.n_frames, 1)
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temp_file = self.tempfile("temp.webp")
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orig.save(temp_file, save_all=True)
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im = Image.open(temp_file)
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self.assertEqual(im.n_frames, orig.n_frames)
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# Compare first and last frames to the original animated GIF
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orig.load()
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im.load()
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self.assert_image_similar(im, orig.convert("RGBA"), 25.0)
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orig.seek(orig.n_frames - 1)
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im.seek(im.n_frames - 1)
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orig.load()
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im.load()
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self.assert_image_similar(im, orig.convert("RGBA"), 25.0)
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def test_write_animation_RGB(self):
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"""
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Write an animated WebP from RGB frames, and ensure the frames
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are visually similar to the originals.
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"""
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def check(temp_file):
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im = Image.open(temp_file)
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self.assertEqual(im.n_frames, 2)
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# Compare first frame to original
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im.load()
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self.assert_image_equal(im, frame1.convert("RGBA"))
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# Compare second frame to original
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im.seek(1)
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im.load()
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self.assert_image_equal(im, frame2.convert("RGBA"))
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frame1 = Image.open("Tests/images/anim_frame1.webp")
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frame2 = Image.open("Tests/images/anim_frame2.webp")
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temp_file1 = self.tempfile("temp.webp")
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frame1.copy().save(
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temp_file1, save_all=True, append_images=[frame2], lossless=True
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)
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check(temp_file1)
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# Tests appending using a generator
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def imGenerator(ims):
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for im in ims:
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yield im
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temp_file2 = self.tempfile("temp_generator.webp")
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frame1.copy().save(
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temp_file2,
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save_all=True,
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append_images=imGenerator([frame2]),
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lossless=True,
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)
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check(temp_file2)
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def test_timestamp_and_duration(self):
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"""
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Try passing a list of durations, and make sure the encoded
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timestamps and durations are correct.
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"""
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durations = [0, 10, 20, 30, 40]
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temp_file = self.tempfile("temp.webp")
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frame1 = Image.open("Tests/images/anim_frame1.webp")
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frame2 = Image.open("Tests/images/anim_frame2.webp")
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frame1.save(
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temp_file,
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save_all=True,
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append_images=[frame2, frame1, frame2, frame1],
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duration=durations,
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)
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im = Image.open(temp_file)
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self.assertEqual(im.n_frames, 5)
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self.assertTrue(im.is_animated)
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# Check that timestamps and durations match original values specified
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ts = 0
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for frame in range(im.n_frames):
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im.seek(frame)
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im.load()
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self.assertEqual(im.info["duration"], durations[frame])
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self.assertEqual(im.info["timestamp"], ts)
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ts += durations[frame]
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def test_seeking(self):
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"""
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Create an animated WebP file, and then try seeking through
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frames in reverse-order, verifying the timestamps and durations
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are correct.
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"""
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dur = 33
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temp_file = self.tempfile("temp.webp")
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frame1 = Image.open("Tests/images/anim_frame1.webp")
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frame2 = Image.open("Tests/images/anim_frame2.webp")
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frame1.save(
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temp_file,
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save_all=True,
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append_images=[frame2, frame1, frame2, frame1],
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duration=dur,
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)
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im = Image.open(temp_file)
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self.assertEqual(im.n_frames, 5)
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self.assertTrue(im.is_animated)
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# Traverse frames in reverse, checking timestamps and durations
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ts = dur * (im.n_frames - 1)
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for frame in reversed(range(im.n_frames)):
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im.seek(frame)
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im.load()
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self.assertEqual(im.info["duration"], dur)
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self.assertEqual(im.info["timestamp"], ts)
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ts -= dur
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