Pillow/Tests/test_file_webp_animated.py
Jon Dufresne d50445ff30 Introduce isort to automate import ordering and formatting
Similar to the recent adoption of Black. isort is a Python utility to
sort imports alphabetically and automatically separate into sections. By
using isort, contributors can quickly and automatically conform to the
projects style without thinking. Just let the tool do it.

Uses the configuration recommended by the Black to avoid conflicts of
style.

Rewrite TestImageQt.test_deprecated to no rely on import order.
2019-07-06 16:11:35 -07:00

166 lines
5.0 KiB
Python

from PIL import Image
from .helper import PillowTestCase
try:
from PIL import _webp
HAVE_WEBP = True
except ImportError:
HAVE_WEBP = False
class TestFileWebpAnimation(PillowTestCase):
def setUp(self):
if not HAVE_WEBP:
self.skipTest("WebP support not installed")
return
if not _webp.HAVE_WEBPANIM:
self.skipTest(
"WebP library does not contain animation support, "
"not testing animation"
)
def test_n_frames(self):
"""
Ensure that WebP format sets n_frames and is_animated
attributes correctly.
"""
im = Image.open("Tests/images/hopper.webp")
self.assertEqual(im.n_frames, 1)
self.assertFalse(im.is_animated)
im = Image.open("Tests/images/iss634.webp")
self.assertEqual(im.n_frames, 42)
self.assertTrue(im.is_animated)
def test_write_animation_L(self):
"""
Convert an animated GIF to animated WebP, then compare the
frame count, and first and last frames to ensure they're
visually similar.
"""
orig = Image.open("Tests/images/iss634.gif")
self.assertGreater(orig.n_frames, 1)
temp_file = self.tempfile("temp.webp")
orig.save(temp_file, save_all=True)
im = Image.open(temp_file)
self.assertEqual(im.n_frames, orig.n_frames)
# Compare first and last frames to the original animated GIF
orig.load()
im.load()
self.assert_image_similar(im, orig.convert("RGBA"), 25.0)
orig.seek(orig.n_frames - 1)
im.seek(im.n_frames - 1)
orig.load()
im.load()
self.assert_image_similar(im, orig.convert("RGBA"), 25.0)
def test_write_animation_RGB(self):
"""
Write an animated WebP from RGB frames, and ensure the frames
are visually similar to the originals.
"""
def check(temp_file):
im = Image.open(temp_file)
self.assertEqual(im.n_frames, 2)
# Compare first frame to original
im.load()
self.assert_image_equal(im, frame1.convert("RGBA"))
# Compare second frame to original
im.seek(1)
im.load()
self.assert_image_equal(im, frame2.convert("RGBA"))
frame1 = Image.open("Tests/images/anim_frame1.webp")
frame2 = Image.open("Tests/images/anim_frame2.webp")
temp_file1 = self.tempfile("temp.webp")
frame1.copy().save(
temp_file1, save_all=True, append_images=[frame2], lossless=True
)
check(temp_file1)
# Tests appending using a generator
def imGenerator(ims):
for im in ims:
yield im
temp_file2 = self.tempfile("temp_generator.webp")
frame1.copy().save(
temp_file2,
save_all=True,
append_images=imGenerator([frame2]),
lossless=True,
)
check(temp_file2)
def test_timestamp_and_duration(self):
"""
Try passing a list of durations, and make sure the encoded
timestamps and durations are correct.
"""
durations = [0, 10, 20, 30, 40]
temp_file = self.tempfile("temp.webp")
frame1 = Image.open("Tests/images/anim_frame1.webp")
frame2 = Image.open("Tests/images/anim_frame2.webp")
frame1.save(
temp_file,
save_all=True,
append_images=[frame2, frame1, frame2, frame1],
duration=durations,
)
im = Image.open(temp_file)
self.assertEqual(im.n_frames, 5)
self.assertTrue(im.is_animated)
# Check that timestamps and durations match original values specified
ts = 0
for frame in range(im.n_frames):
im.seek(frame)
im.load()
self.assertEqual(im.info["duration"], durations[frame])
self.assertEqual(im.info["timestamp"], ts)
ts += durations[frame]
def test_seeking(self):
"""
Create an animated WebP file, and then try seeking through
frames in reverse-order, verifying the timestamps and durations
are correct.
"""
dur = 33
temp_file = self.tempfile("temp.webp")
frame1 = Image.open("Tests/images/anim_frame1.webp")
frame2 = Image.open("Tests/images/anim_frame2.webp")
frame1.save(
temp_file,
save_all=True,
append_images=[frame2, frame1, frame2, frame1],
duration=dur,
)
im = Image.open(temp_file)
self.assertEqual(im.n_frames, 5)
self.assertTrue(im.is_animated)
# Traverse frames in reverse, checking timestamps and durations
ts = dur * (im.n_frames - 1)
for frame in reversed(range(im.n_frames)):
im.seek(frame)
im.load()
self.assertEqual(im.info["duration"], dur)
self.assertEqual(im.info["timestamp"], ts)
ts -= dur