235126 2022-01-12 11:34:40 -0800 [ Win EWS ] webanimations/accelerated-animation-after-forward-filling-animation.html is a constant image only failure 2026-01-12 09:08:32 -0800 1 1 1 Unclassified WebKit Animations WebKit Nightly Build Unspecified Unspecified NEW https://bugs.webkit.org/show_bug.cgi?id=242249 InRadar P2 Normal --- 1 jenner webkit-unassigned dino graouts webkit-bot-watchers-bugzilla webkit-bug-importer oldest_to_newest 1830242 0 jenner 2022-01-12 11:34:40 -0800 webanimations/accelerated-animation-after-forward-filling-animation.html is a constant image only failure on Windows, and Windows EWS. HISTORY: https://results.webkit.org/?suite=layout-tests&test=webanimations%2Faccelerated-animation-after-forward-filling-animation.html&version_name=Win10 DIFF URL: https://build.webkit.org/results/Apple-Win-10-Release-Tests/r287927%20(3973)/webanimations/accelerated-animation-after-forward-filling-animation-diff.png 1830243 1 448976 jenner 2022-01-12 11:35:37 -0800 Created attachment 448976 Actual, Expected, and Diff images attachment 1830255 2 jenner 2022-01-12 11:54:18 -0800 I have added an [ ImageOnlyFailure ] expectation for Windows here: https://trac.webkit.org/changeset/287942/webkit 1830256 3 webkit-bug-importer 2022-01-12 11:57:10 -0800 <rdar://problem/87473112> 1830259 4 jenner 2022-01-12 11:59:56 -0800 It looks like the failure was introduced in between r287892 and r287903, with the last pass for this test occurring at r287892, and the first failure occurring at r287903. It appears that changes at r287896 deal with animation, and that may be the culprit. But I'm not 100% certain. https://trac.webkit.org/changeset/287896/webkit 448976 2022-01-12 11:35:37 -0800 2022-01-12 11:35:37 -0800 Actual, Expected, and Diff images attachment 235126- Diff Images.zip application/zip 4484 jenner UEsDBBQAAAAAAFlcLFQAAAAAAAAAAAAAAAAUACAAMjM1MTI2LSBEaWZmIEltYWdlcy9VVA0AB1ot 32FaLd9hbC3fYXV4CwABBPUBAAAEFAAAAFBLAwQUAAgACAA8XCxUAAAAAAAAAAAvJgAAVAAgADIz NTEyNi0gRGlmZiBJbWFnZXMvYWNjZWxlcmF0ZWQtYW5pbWF0aW9uLWFmdGVyLWZvcndhcmQtZmls bGluZy1hbmltYXRpb24tYWN0dWFsLnBuZ1VUDQAHJC3fYVwt32FaLd9hdXgLAAEE9QEAAAQUAAAA 6wzwc+flkuJiYGDg9fRwCWJgYFZgYGCK4GADiswqayoAUpolrhElyRmpydnFpbkMJgaGKSmpJpYp BhbGloZJxmkpKSlGacmpBmmpyQaGlgaRTd27gZo4CzwiixkYuIVBmJFh1hwJBgYFBk8Xx5AKxrfX N/IyKPCwGCb8n8uc1LF6Dmvcpkt35pWfFlRwaGBgZGLhEFBwUBCwONjGCWFDBGsYGR8JIrgCJ1hY PNxyO2AagKKMj9hH5UflR+VH5UflR+VH5UflR+VH5UflR+VH5UflR+VH5UflR+VH5UflR+VH5Ufl R+VH5UflR+VH5UflR+VH5ekhf3G+nA4DA+sC0FqAgXbLqPyo/Kj8qPyoPLp8I/fLcI416WcmSDAA gaern8s6p4QmAFBLBwgh870pJwEAAC8mAABQSwMEFAAIAAgAPFwsVAAAAAAAAAAArwIAAF8AIABf X01BQ09TWC8yMzUxMjYtIERpZmYgSW1hZ2VzLy5fYWNjZWxlcmF0ZWQtYW5pbWF0aW9uLWFmdGVy LWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tYWN0dWFsLnBuZ1VUDQAHJC3fYVwt32FwLd9hdXgL AAEE9QEAAAQUAAAAjVDNSltBFD43KFU3BqRFXEhAAnUx915vqjHJxkAq7UIMSUB35eTO3Dg49ycz c4lddKfgE6jQhbgRd4X2EbQUCt34Ar5AF+0bdC4JjQRKPXC+M3O+7xvmHJh+8QxyADvoF3bbhf3C KLIezJr0AHIfTDX33Cd4UtQ7ndbwlDmsLZPxhGR62Ic8wJIfhzYmiWC2QKVTxShFzVaa7aHUahp4 AzA/1oXoiyF3YWAdYPURxzQaP1YPdxpvNQsb8SASMVJGG+bVzPPDwHeA4r89ewdMsm0Zhyqb4dzA IsDzsb6fosRI84hBkTxg9pOfZ5eLWZ2Cu1/W+2Xxun98//vrl13v+mk7m4xuIrjSrntlleq33z63 jk5OZ+ZGC7FGmtyEZ2Fsepf/eKB1oqqO0025oPaAdQ+5tmPZcyRTqdDKqWezkD0ekTWXtJhgqBjp MGUo6W2WK1656LkvS5VyadUxdox4iJrHkXLQ941cmn1S8rdNMNBMkiCWA5SUBFwIHvUe875OUdhJ 1PvvJDd9x3U3vdrGGg086r2qtTFAyWvwB1BLBwjrZ9kInAEAAK8CAABQSwMEFAAIAAgAPVwsVAAA AAAAAAAAtAkAAFIAIAAyMzUxMjYtIERpZmYgSW1hZ2VzL2FjY2VsZXJhdGVkLWFuaW1hdGlvbi1h ZnRlci1mb3J3YXJkLWZpbGxpbmctYW5pbWF0aW9uLWRpZmYucG5nVVQNAAcnLd9hXS3fYVot32F1 eAsAAQT1AQAABBQAAADrDPBz5+WS4mJgYOD19HAJYmBgVmBgYIrgAAow7Je9u4aBgbPa08UxpILx 7eWNvA0GIs6OCf/nJrKGL6yYfivoye9PtbIV7xvt3zHX/1ik/uGLVrZPgrjBhLteRhoJCgcXr97D LXEiT1VSxGDCg4uh91h5UrZP4uGS8PjwQus9E9umaE82Vh6VipKp5YzMN9eqNDOxCdnsOrW7ofFN 2CRHRmZOudinsQccyrRPLmhoZOlf90kvQWH31JSAAw5N7uGVo9aMWoNkjU8DAyMTC4eAgsMoY5Qx yhhljDJGGUOZ8WH9AfYYTsYTUd7f1oKaY56ufi7rnBKaAFBLBwhHSOnz+AAAALQJAABQSwMEFAAI AAgAPVwsVAAAAAAAAAAArQIAAF0AIABfX01BQ09TWC8yMzUxMjYtIERpZmYgSW1hZ2VzLy5fYWNj ZWxlcmF0ZWQtYW5pbWF0aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tZGlmZi5w bmdVVA0AByct32FdLd9hcC3fYXV4CwABBPUBAAAEFAAAAI1QTUsjQRCtCcqqsKgsiniQwCLooWfG CRpNLgai6EEUE9DbUpnuiY09H+nuEMSrfyGgRy/evOhPUNGLBwWv+hfcf7A9JBgJLFpQr7rrvdd0 FQxO/oAMwBb62e1Kdj/bjbQHwyY9gMyxqeaeuYRvRala3e2cUoe1ajLskwx2+jAGMO3HoY1JIpgt UOmmYpSiZr93Kh2ptWNgA2C0pwvRFx3u1MAiwPwnjmk0fiwcbpU3NQvLcSsSMVJGy+bV1PNo4AFg 9v+evQMm2bqMQ5XO0DYwBTDR0zeaKDHSPGIwR94w/cn41NPPtA7A7bt1NCPWGifPf++ut72L7+2s P2qJ4Eq77rmVK93cX1VeX9pDI92FWF1Nps/zq2f6M3Z2oHWiCo5Ta3JB7RarHXJtx7LuSKaaQiun lM5C9nhEFlyyywRDxUiVKUNJbzm/4uVnPXcut5LPzTvGjhEPUfM4Ug76vpFLs09KPtoEA80kCWLZ QklJwIXgUf0TT3kQ2ElU/3KOi4bjustecWmBBh718sUKBih5Ef4BUEsHCJD8wjaUAQAArQIAAFBL AwQUAAgACAA6XCxUAAAAAAAAAAABJwAAVgAgADIzNTEyNi0gRGlmZiBJbWFnZXMvYWNjZWxlcmF0 ZWQtYW5pbWF0aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tZXhwZWN0ZWQucG5n VVQNAAchLd9hWy3fYVot32F1eAsAAQT1AQAABBQAAADrDPBz5+WS4mJgYOD19HAJYmBgVmBgYIrg YAOKzCprKgBSmiWuESXJGanJ2cWluQzJhuZGKUlm5ubmyRYmKQZJiYaWiUCmmbGRmYVpWoqBT37U V6AmzgKPyGIGBm5hEGZkmDVHgoFBgcHTxTGkgvHtTUM/FkcBloPRR/7vrznAfCr7aSLLO49ojSsS mvO+vz9/+vx+wYp5z+//0aubeP30/HZtBYcGBkYmFo47XDV3685d5xCACQgobGBlObHtoxOM69Bw YGMDgyXbV0soFyS+rYHhplkcki4LMQGF4wvs3JF0AUVuH+NmROg6zsT0ROLKcyRdN5iYUm5XKMKt dngQ4dAg0/xLBklXtENDjrQ+wmoOGW6OCckB85URuhKAIrmPW+FWMzQmMzIW8bwqRtKVw8i4KXcP kjcLdBQc+hxr+5B06So4bOsVR/JmHzAoDFecFxwNnNHAGQ2c0cAZDZyhGTgHvtd9+sTZ+P33387I 2QhxIcb/jJ4zepHc8EFdweEOI5JnZzYwnFzBi2QfUJ5hVH5UflR+VH5UflR+VH5UflR+VH5UflR+ VH5UflR+VH5UflR+VH5UflR+VH5UflSe1vJfNao2MTCwFYHWAgy0W0blR+VH5UflR+WHv/wH5n3X +VZPU/3ziwEIPF39XNY5JTQBAFBLBwhbxznJ9AEAAAEnAABQSwMEFAAIAAgAOlwsVAAAAAAAAAAA sQIAAGEAIABfX01BQ09TWC8yMzUxMjYtIERpZmYgSW1hZ2VzLy5fYWNjZWxlcmF0ZWQtYW5pbWF0 aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tZXhwZWN0ZWQucG5nVVQNAAchLd9h Wy3fYXAt32F1eAsAAQT1AQAABBQAAACNUD1PG0EQnbMCJDQgoaAoReQosgTF3p3PAgNuYsmJQoGw sCXo0Ph2zqzY+/DuWk6qNPkFqZwiRZoUSUXyEwKigSZ/IDUd+QfZky2MLKEw0rzZnffeamdgZnkO CgA7GBZ3W8WD4jjyHjyyGQAU3ttq74UTuFfU2+290Sl3OC9t9qYkM6M+LAI8DdPYxSyT5ErUpq+J czT0otkaSZ2mhTcACxNdjKEccUMLawCrtzgyaP24dbzT2DYUN9JBIlPkxBv21dxzaeECoHS3Z/+I FL1WaazzGT5ZeALweKLv9VFhYkRC8Jz9wfwnsx/b5bw+gNNr590z+ar34fffs5+7wdf77Ww6OpkU 2vj+F6dS/3X+o/l9ePVwfrwQZ6wpTHmWJqbDxc9HxmR6y/M6fSG5O6DOsTBuqrqeIt2XRnv1fBa2 LxJW9tkeSUJNrE3aUirYqG4G1VLgr1Q2q5VVz9oxETEakSbawzC0cmX3ydlNm2FkSLEoVQNUnEVC SpF0b/H0NqPQWtws6f53lm89z/c3gtp6mUcBD8q1FkaoRA3+AVBLBwhzuY7DnQEAALECAABQSwEC FAMUAAAAAABZXCxUAAAAAAAAAAAAAAAAFAAgAAAAAAAAAAAA7UEAAAAAMjM1MTI2LSBEaWZmIElt YWdlcy9VVA0AB1ot32FaLd9hbC3fYXV4CwABBPUBAAAEFAAAAFBLAQIUAxQACAAIADxcLFQh870p JwEAAC8mAABUACAAAAAAAAAAAACkgVIAAAAyMzUxMjYtIERpZmYgSW1hZ2VzL2FjY2VsZXJhdGVk LWFuaW1hdGlvbi1hZnRlci1mb3J3YXJkLWZpbGxpbmctYW5pbWF0aW9uLWFjdHVhbC5wbmdVVA0A ByQt32FcLd9hWi3fYXV4CwABBPUBAAAEFAAAAFBLAQIUAxQACAAIADxcLFTrZ9kInAEAAK8CAABf ACAAAAAAAAAAAACkgRsCAABfX01BQ09TWC8yMzUxMjYtIERpZmYgSW1hZ2VzLy5fYWNjZWxlcmF0 ZWQtYW5pbWF0aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tYWN0dWFsLnBuZ1VU DQAHJC3fYVwt32FwLd9hdXgLAAEE9QEAAAQUAAAAUEsBAhQDFAAIAAgAPVwsVEdI6fP4AAAAtAkA AFIAIAAAAAAAAAAAAKSBZAQAADIzNTEyNi0gRGlmZiBJbWFnZXMvYWNjZWxlcmF0ZWQtYW5pbWF0 aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tZGlmZi5wbmdVVA0AByct32FdLd9h Wi3fYXV4CwABBPUBAAAEFAAAAFBLAQIUAxQACAAIAD1cLFSQ/MI2lAEAAK0CAABdACAAAAAAAAAA AACkgfwFAABfX01BQ09TWC8yMzUxMjYtIERpZmYgSW1hZ2VzLy5fYWNjZWxlcmF0ZWQtYW5pbWF0 aW9uLWFmdGVyLWZvcndhcmQtZmlsbGluZy1hbmltYXRpb24tZGlmZi5wbmdVVA0AByct32FdLd9h cC3fYXV4CwABBPUBAAAEFAAAAFBLAQIUAxQACAAIADpcLFRbxznJ9AEAAAEnAABWACAAAAAAAAAA AACkgTsIAAAyMzUxMjYtIERpZmYgSW1hZ2VzL2FjY2VsZXJhdGVkLWFuaW1hdGlvbi1hZnRlci1m b3J3YXJkLWZpbGxpbmctYW5pbWF0aW9uLWV4cGVjdGVkLnBuZ1VUDQAHIS3fYVst32FaLd9hdXgL AAEE9QEAAAQUAAAAUEsBAhQDFAAIAAgAOlwsVHO5jsOdAQAAsQIAAGEAIAAAAAAAAAAAAKSB0woA AF9fTUFDT1NYLzIzNTEyNi0gRGlmZiBJbWFnZXMvLl9hY2NlbGVyYXRlZC1hbmltYXRpb24tYWZ0 ZXItZm9yd2FyZC1maWxsaW5nLWFuaW1hdGlvbi1leHBlY3RlZC5wbmdVVA0AByEt32FbLd9hcC3f YXV4CwABBPUBAAAEFAAAAFBLBQYAAAAABwAHAE8EAAAfDQAAAAA=