307377 2026-02-09 15:38:05 -0800 [Tahoe Release arm64] compositing/webgl/update-composited-canvas-layer.html is a flaky image diff 2026-02-11 16:54:37 -0800 1 1 1 Unclassified WebKit WebGL WebKit Nightly Build Unspecified Unspecified NEW InRadar P2 Normal --- 1 d_delatoba webkit-unassigned ap djg jbedard kbr kkinnunen webkit-bot-watchers-bugzilla webkit-bug-importer oldest_to_newest 2179623 0 d_delatoba 2026-02-09 15:38:05 -0800 compositing/webgl/update-composited-canvas-layer.html is a flaky image diff on macOS Tahoe arm64. HISTORY: https://results.webkit.org/?suite=layout-tests&test=compositing%2Fwebgl%2Fupdate-composited-canvas-layer.html&version_name=Tahoe&style=release&architecture=arm64&recent=false IMAGE URL: https://build.webkit.org/results/Apple-Tahoe-Release-AppleSilicon-WK2-Tests/307099%40main%20(1543)/compositing/webgl/update-composited-canvas-layer-diffs.html IMAGES: See attached. REPRODUCTION: I was able to reproduce this on macOS Tahoe ToT with the following: rwt --force --release --no-retry —exit-after-n-failures=5 --iterations 2000 compositing/webgl/update-composited-canvas-layer.html reproduce it I am going to mark expectations as ImageOnlyFailure Pass while this pends investigation 2179624 1 webkit-bug-importer 2026-02-09 15:38:11 -0800 <rdar://problem/170007050> 2179639 2 d_delatoba 2026-02-09 15:55:04 -0800 Pull request: https://github.com/WebKit/WebKit/pull/58248 2179670 3 d_delatoba 2026-02-09 16:45:57 -0800 Pull request: https://github.com/WebKit/WebKit/pull/58257 2179671 4 ews-feeder 2026-02-09 16:48:10 -0800 Test gardening commit 307126@main (df15754afb74): <https://commits.webkit.org/307126@main> Reviewed commits have been landed. Closing PR #58257 and removing active labels. 2179679 5 478296 d_delatoba 2026-02-09 17:04:11 -0800 Created attachment 478296 image diff 2180464 6 jbedard 2026-02-11 14:20:46 -0800 Looks like this test might actually crash ImageDiff: 10:21:04.791 31158 worker/8 Test marked as failed, ImageDiff crashed because of no data while reading stdout for the server process. 10:21:04.791 31158 worker/8 Test marked as failed, ImageDiff crashed because of no data while reading stdout for the server process. 10:21:04.791 31158 worker/8 compositing/webgl/update-composited-canvas-layer.html : ImageDiff produced stderr output: Error: test and reference images have different sizes. Test image is 784x588, reference image is 800x600 ImageDiff crashed 10:21:04.794 31158 worker/8 compositing/webgl/update-composited-canvas-layer.html failed: 478296 2026-02-09 17:04:11 -0800 2026-02-09 17:04:11 -0800 image diff compositing:webgl:update-composited-canvas-layer..zip application/zip 7136 d_delatoba UEsDBBQAAAAAAJJ8SVwAAAAAAAAAAAAAAAAyACAAY29tcG9zaXRpbmc6d2ViZ2w6dXBkYXRlLWNv bXBvc2l0ZWQtY2FudmFzLWxheWVyLi91eAsAAQT1AQAABBQAAABVVA0AB4VvimmFb4pphW+KaVBL AwQUAAgACACJfElcAAAAAAAAAAAAAAAAXQAgAGNvbXBvc2l0aW5nOndlYmdsOnVwZGF0ZS1jb21w b3NpdGVkLWNhbnZhcy1sYXllci4vdXBkYXRlLWNvbXBvc2l0ZWQtY2FudmFzLWxheWVyLWV4cGVj dGVkLnBuZ3V4CwABBPUBAAAEFAAAAFVUDQAHcm+KaYVvimmFb4pp7Zv7X9L398DRdKWl1sy1Mi9r bbbUnHk3EctKW4l5ybu4NNfFu4gpqJg1ac3UrpaJ2CoR75ch5Y01m6wwqURJTdBICRDEEBRR+Lzd ZyXfP+H7ecDjAe/X+zxe5/U+53ler/M+5wd+OQr10tPdogsCgfQOee/3B4FWmYNAmiFrPgMkpel5 ycDlu7QDIWkxp2Jj4uCIBFCMbXSMg/NxR7sYO7vd3zs5Ojo62NmdcHb83jYmJsbF1sHQWcMGUNKA +3vtA9X3beUCN/GxIYd+8vEB7QTGa0BaGltA2stTgK+7hvGn8UGNHaBV/4w1QSDMaZDWv3Io6L8f 73/v/3vVrND8OGOVecWqj2PNkOWpTaHH44CLTrJ3KBwEWmu4/NUAlZZ9CQI5Rh/avzcwQ0Mwql1g pTOgPRYW8sb6oZVQqL83bzXJ4wVIR7jljWeeZ65H8VjiYx2hUNj3NlHCqLufn1nkhEDdbmlZFB37 kF7JCWTxFJVOXLtvsl84W5//GaShqbVmvblHLjBAmSffB7/O9/n39h/5j18c9ehYv2ZF9NpOQ/sE rSrhooqm9pO43JXbc2DDox7SguF8FS1gkc/+hxaZR4d65My1s/RYcuacPonFxCkXOeOrzOb/4C0m ZbGNu3GKWfwA4sIdnSz5CMv02Zt9HxcUsWxefFFM6pLUdT+iZQvHK87rb4GebevXQ6BCcxRinMFc 53Q2Z6rvbJc4+f1dzK6X41LJjYasieQP13BZGeNrozIexrPZZsr55KZfI+MfChENqD9kkrLpZMye dSfd2JsxUcoFxuoIioGT4fxfNjm2byYdSZv1Xd4VgzMF8dKq2gMfDUnO0P1d+92z4K4PovK5jpPO /bf77Bc/lJC39mX2wRPB5Ya4+SfdTYWI2nG/IiRd9M4Ckun88hfo7zdMYKyIaSTDGAov7d8KY2PW wkR53c8T01tMOAx411OfxN0cL5dnfukRvi/WlokuWGxNTPk1fNYy7PxHpGPkgxXW5pIjvsl5husa kAM1k90nEs+2jySAZQ05kppuDkQpG1+mO0h7xVpc9rXkymqzLFEHYyIq74XB4CSD7fLhSpFbEkGq W2e9GjkVx1fuGVr2+/K0YyG7hy8cuPTrBCyBlv4pYoUh5y7reoOfwLH8iO7zprMV4z5JyH5R3qaO H6ucWuYeUsD5Fm7jOuG0sWu4xXfJ4jusLIXsRn3ag3EZDa0oW5KSyCbCDMoefbzbxHcYVyZZP7La k8RLf77nhb/YTNqI0aOhmOJJOVOpmGOdJJKVS9Pdq0xFuZlJf7v0pRTe7XsacpO1OOkkzhZmT6No GP+BVrRSzqLNWMJmLmW2+2Y+C5gcsUENUfNbyiasugVJaPmEcPViGCrjDGyzm4Tgi2UMEXIDbVHv vjZzcZMP0cpJ5KVGIqljwrq7E9gD4+tOOncndxszk3GeRYPNS2b0EZZCOt5UlD0lemLhnvLwyTe7 bLMm7XBD6Bt1I5I3/LlURjsTUQUOI44Ox0mYc11n5997QVzNPpP8sdo9OWO+28ydblpelPXua88b eApYmAJP5wXgkBlAOMgOSfgpwMCRo/WbOt8fwDiRZc+7E5JQI486mO8POpVG2YSv0hf5gBVxUfLh 7pnCsx2ZBnQgiJQ6YjoyckBXElbLUg4AkR73giy8FAGPRT4cHqh3pGdbfcpEynOa/cZLl0vIixM2 7LQ1g86CDZvxqd+7cw/5DrdNz1ai3IaeQh2hHO9eiPxVSZe9KftLypc4cRmnlwSZf2wwiGNRGrIF cWIBYXsvCb+v0SFG7gRYONLTPipIFBdVOrWyZyuzLcv7Dm1eDlzhNIol7+H6cJw7NUySsvnhNNns ZEYHcIDcu4Cf8iRf1JoebllhCpLdiVAGYHmB7MD1rYnB6Uv8KDRfGug4yWlerCjv1ktMPj8x6dx5 BWcmX97KdbgE5U9INjjnvadZKdq+87ZZ1MKrkj4WGuBriofHTk7jxWY9djhZb/hIJLWVVj+Nv8ai cN1uzYxO58xtBc/eNTBpAPZsL8vsPSTg0G0zeGzU4ttNHIq7ESXF9Qp6EYitLRTTd5njQsvsYZAV EnakMLUkZSecnS2E4+pkROzCqDW5BtvcjNNn3GFYNxDiCwP8SpN8J3geBgkRsE39d0PYeHcJQSbZ LTAaQnaM8qvzodrwHP3+v3R6ThuMLs4bPLSFbP+Y95z/1HZkrvIfJfRl3mIWGPQbT8uKa4dbGq0k DPFh2Ier4ZxzZZLakya7EITDepISSVhhzuw9mxpTkdR9PI29hyXrE7UxOhPnB0ldDmYf7I0KsoMI 5AyGtPKVXYS0ucSkC4g3LVPgRyCP+f4c3RWJCRjlBZFKfctxutTFFqTVyBzsyIHTuJERp0D0APpv T9PdERM7g4cWUhJQCQQKDHWIJ6paGzX/Z3fgzckBs5mLXusowPnLJxT3FuGhlTjmLA1lDBwPEoJ+ zxTxcMI6yaVsOotz595w3PdGvy4Fj7Qt/bap8xSzxQ/iPDLU51g2e9/ChJfpcyDeWSmjQaY1qsER jIc9DpPgnRSIYgbDcZ97JDb9GVlLPHm3FyYuZaxDvJ2Hht6GjWluukUKV+DBgtMYy4hx3e5D0NSr d5fTVcAvpVjeXARHRmfe4yoLMxt6h/nVPw0yK5EJzPkeJ9NKf6cy4N0RNXK94FO+XLPR+Yj2fVPO gV2pV8ZPee0ZXqyUeHstcEb5PD9JPlLuz1fMUyDlygSl7FuWL/oljpULRd/G+SY3dN9PD+Ppzade HKC4S5tkeklGRbEEih8VD1niTngZo+s0Z5em0egcJhVb3Uhv7nxiFZrd2Y8V2ncAgcCt3Xfj7kQT Yw7x8Cj2RZSSJyK2vUnqfAn7Z6fGtUsq201HYkzFt2RdVDELPdoWiTmWQK5NjrQaA87k7GD1sV28 C6JY2dRJyB46vNZJLHHm8+UspWL8sUGOqPGm9RxLGRdZVdHeK1xOVHXtA19FSLJ4xJanfB6QkYVZ F18bM0X542GMtsHBraxPb99Fjs6iOHJhl1n4ElFpGSV75h5Q7UZPDYFeh31GN36LFIdydh3BaD9H OZcDJG1mCqPiwiGyp76TnfaSksWwvhxpi8ExbwWWMtNtpkgu9/vmvtQ0vpluepXb+EB2JpR4dnI5 O3WsftCXTXCSUmF5gpbBZgHfmsUwvYaM90UN9+efdBfflm8siMVOxGEhdiafO3SwTaZvkaKCN9Q4 yfZYS0KeNUob421uExVpp0YLh6BifT6N+uiHICOqT1TwsRBoyqWAdXMdHDAH7IBB3Bm0+FSNGJ9D C/98PSHlfehA7IMvOaBDeRfEOzUQVbRmUoX+0tAJguH9mgsdM5eTyuY20u9MmS2OrRZE8lOsUBtv 3uDnEEcFJeuZsyn04/uJVpgkazs+/0NZq7K2q4ECs8hHA+XDLfIg81IYr8WTV1wpOGziGoSxqIsd YTRM87X4rpu79FEjXNt4su+NywtTV3caES2i8YbKEjk9hiCByYcZuyCl5MHxaMSHReiQlLXkftat wOmMzeGl+sLM3pi+KAYs2KFNev0Ip3kdYu851/gGaC5pJWwndbdOavonveHrneq8PdpFv4HlvSkW YBbo40cRD2qR1yIwXw0cd6S6GCBCWa6J6KHuxuygbGX92c44/rMghKTSNen40D2/4IFqNNUfVwBT niEYrK+Fg1rJOnUUP87xiJlLwWUMAm2hCrzR4V4ftkrzKMfF6nDkOUJ5jDX+jntWkzSavtoM2BIQ LDpIfGaI25F/EswPhcNoJH1KmDvpvrv4t/o/jwVfr4Z/d6Zof+RfBP2UMOrk8RGFGEjHZ7uODS7n 7UlOGApU+atWL+dafDhC0SrVpT+4boOWUWk4eDMaRkPM1NTqG7a/+HmXfdShKSyQXkQtuKX4jB67 cts7gbavv6thiT9wRYgbzbGEoVEmHjlF9Q+erwa7EdMaasLwu1ZFcrYMPNqG+Ktu4WivIPhltWZA w93AvdUJYZ+qGYXPOa7PUM/hyAdV9W/tE86U9RnfatjuIIh83aZMe/pGdikQMYDn6vGdO2Wm/Geh 1N2dflvxnnd72i4NBK7vIewo6Nd5y07L6G9+Nsjg7m5ip5X/6Yydd4NiYM+VO8sUz8BQjPbl/kNC 9u8WP3Zd6g9M7GlLfTW7SS5T9JdjUlwJyJysftPrKW1TU/PPk3LgcemRA6ddbaK7rtLTTo+mDO/5 HmpxuKh/IpVTEzxg1MpzGRxorHTiiAfKKq8RKdyI/JndJY96sx5UcV/9zk7bPNZUP0lU7hYsfYmn LhQSBdzUbnaa8GnHD89LoddN8U488WJbGOMt6aYAgkbCAdu8npPPcz03UAjbC/qZeSmumSiz6Ymc s2T5KEcwAK9GExMjEdWtLkYVMmmgqKek49031MgebnJbiqsyBkbuwG8b+imAe8vnjDGjY9KBQojo CyZWj/Q/nZcv6t883j8OYx8DitKUnV4xkbdrYFFUo96bCKBw8YnNKJNqPQ92Ca/3Dmq4MwyLNIof tttdVGXZ6mMhLKK6UiOidD5GSAobqxh+N5tv3UqPaua7nXNNOz0U05SdkX3QC2sfcXjpWBbe17CB XMGQrSbiH0hz4lOrXkoF9LnlIpZjecok9e+v5F5iZt7wQey1JqlzKyul7YkoKyREoF0N/0EKgUSH kiYHych6hOa84nD2b1lLP3f1hb5Gh1KlUaSfrCyeNIAxC/EFbc2BAmxVpzsRXw29Sub6JLURg08p h6iCtt+Csb93LW2f8WmOxfqQb3LvYkxdlfUGaTghAlEht4LUlGQ8d38xHR1KCf7UBnVuuLipuDPz dWszwcNEPyj2nv7ccBcd8/WgbCuiC7PSSP4B09lhjvomWyuBA8fJ32T1Hczu8YrMrpGW0mEP2vyD 5zK/9Xrh2Rr6aWFltIb2O/J8Sbsbsa02EYBe/wXiETWyD1ak3bPyePAmoAsre/OZzkpCmQYSClWk mPbPnNRaac6mgjw0huoq5IYrXWxjU65ms+0NIx2Vvq8OEIXvnbNQaXVjgFYwZqfl5yqK4YCIlCf0 XekH/+jR1P27JzBou4oiCRAlao/iVJrGy9obiy8Tar1VFBMB0ahuG0Sl4zZeu8PcOCD0ioriqO4O 83ajNPTKJC1HoAd3rGzepqLYbnTUI93yvULF73iritz4I7EHVBTTLZOTncYqMKb0um0sz3Mzj9mm ic8rV1ROaE9pPEWWHlQx8hKAJe/rbSvOmVtW5J4A+3yt4u4BD43Qxxs2rGAqBqxpLq9UkTRuq8it Hbuo0jL/DfgV6tuvIgnZcNQjKHm/lqo9G4tr8adVJLVrdphbOm9T8alZU9d7sN9eRRKktbHYaOsG FTqhGtrb+ae3qEgsgQjpFqo0+edqczWvSuwvq0iMgFhre+1fgeEB7CQ1HjUeNR41HjWe/wk8YxUp YUGpqgZpRWtKc5/s0FNRrDA86uH6lYvKJFvA6oOn16tIsLmar3SeqhQUF4Gqx/aH8yoQ3wPOQ72h KkYf8dD4xW+LqhsWFblp+1L/jzW63gWvzFUkrhra9w2vqlQz6wHzoq9/phLSF8CzscVlKsBu5Wp+ fs9eFSrUQ4N74Z1K/J4A5n35YK+KJA14tsV2lYrI/NsKNRo1GjUaNRo1GjUaNRo1GjUaNRo1GjUa NRo1GjUaNRo1GjUaNRo1GjUaNRo1GjUaNRo1GjUaNRo1mv9vaOYhNttpfgVxNo+X/4p26AB0f/2+ H/P+A1BLBwjkFpHLyRAAAGo3AABQSwMEFAAIAAgAiXxJXAAAAAAAAAAAAAAAAGgAIABfX01BQ09T WC9jb21wb3NpdGluZzp3ZWJnbDp1cGRhdGUtY29tcG9zaXRlZC1jYW52YXMtbGF5ZXIuLy5fdXBk YXRlLWNvbXBvc2l0ZWQtY2FudmFzLWxheWVyLWV4cGVjdGVkLnBuZ3V4CwABBPUBAAAEFAAAAFVU DQAHcm+KaYVvimmIb4ppjVDbSgMxEJ0tihd8EEQRH6SgBQWzu7bV3kAoFEFEFLdQX0Smu2MbzG7W TdbaX/AfBP0An/0EH/0ls7ZSKIgOzExyck4yJzC7Ngc5gDP08+de/io/jgyDBZNFgNym6Wafu4B/ RbPdvhytMoW1bXJvijIzwmEZYMOXoY1xLMgWqHSqKAhQ09aFN6JaZVMOAHYnvJA0Gg7W785aJ5rC lhxEQmJAQcsoMw035ROg8Lum06eEjhMZqmzOqinrAKsT/n2KCUaaRwRKPmX3wdH2+1LWu7HgSrvu q1Vqfjx7w2tuzS+Oh7XGBnNThlcmopvll77Wsao7TjflIrAH1L3j2pZJz0lIpUIrp5nNwNrYl8Qu SRAqYt+YxwX3ZcQ6p0XWJmWoJbfi1mqFshsijwpFd2f/oFzadYyTWCpuDPQc80BPOGmc/Sv7OaCA +Rg9oGICh5QweozJN6gdR70/7bzdO65b3W8c1qp4eFspNjy8xYQ34AtQSwcInx24K3ABAABQAgAA UEsDBBQACAAIAIp8SVwAAAAAAAAAAAAAAABbACAAY29tcG9zaXRpbmc6d2ViZ2w6dXBkYXRlLWNv bXBvc2l0ZWQtY2FudmFzLWxheWVyLi91cGRhdGUtY29tcG9zaXRlZC1jYW52YXMtbGF5ZXItYWN0 dWFsLnBuZ3V4CwABBPUBAAAEFAAAAFVUDQAHdG+KaYVvimmDb4pp6wzwc+flkuJiYGDg9fRwCWJg YBZgYGDy4WADimQdcjgKpDRLXCNKkjNSk7OLS3MZDE1Nzc1Skg0MLJOTUk0SjYwsjMwNTM1MkkxS TdKMky3V7RS6gJoYi4PcnRjWnZN5CeTkpEZ4pvn6MmgB2RwMLIxSDKwgJUBsxygNZ7sxajAwg9lM DAztmQwsUHE/BjBgewIkJOE00wImmApmgQXMMDaTD0itZMCaWCDFWeARWczAwHULhBm7P9x7wMCg UuTp4hhSwfj2+kZeBgUeFsOE/3OZk5qkD6zcv+nSnXnlpwUVHBoYGJlYOAQUHBQ45mwwVETwGw6I CwjINcK5DI06CgpGUxXhfEYmpkP8AggTJrCyuCwzUkGY4ODwA0kxy6aGhhMhbQg+BweHPZJ1DmIC AjNPTUDYx8j4kB2hWOAEE5NSsKQQwj4FhT9IipkiHRxStJyR7GNpkUf2HjdHh0+qB8K+hoYPzEiO SWFknLiShxNhn4BAXcOo50c9P+r5Uc+Pen7U86OeH/X8qOdHPT/q+VHPj3p+1POjnh/1/KjnRz0/ 6vlRz496ftTzo54f9fyo50c9P+r5Uc+Pen7U86OeH/X8qOdHPT+iPF/AuO8YxxQf5Q550NIkT1c/ l3VOCU0AUEsHCDS3KVHgAQAAeiUAAFBLAwQUAAgACACKfElcAAAAAAAAAAAAAAAAZgAgAF9fTUFD T1NYL2NvbXBvc2l0aW5nOndlYmdsOnVwZGF0ZS1jb21wb3NpdGVkLWNhbnZhcy1sYXllci4vLl91 cGRhdGUtY29tcG9zaXRlZC1jYW52YXMtbGF5ZXItYWN0dWFsLnBuZ3V4CwABBPUBAAAEFAAAAFVU DQAHdG+KaYVvimmIb4ppjVBNSwMxEJ0tih+ngigiHgpasEJ217b200uhCCJ+4Bb0JtPdsQ1mN9tN VtGf4NWjKHj2h3jyP5m1lYIgOjAzyct7ybzA7Moc5ACO0C+ceIWLwiQyDBZMlgFy66abfe4Y/hWd Xu9svMoU1qbJ7R+UmTEOeYA1X4Y2xrEgW6DSqaIgQE0bp96YalVN2QUoTXkhaTQcbF0fdQ80hV15 GwmJAQVdo8w03JQPgOLvmvMhJbSfyFBlc9ZMWQVYnvJHKSYYaR4RpPIhuw+e9riV9X4suNKu+2pV Ou/P3n3n8WF+cTKsNTGY+2F4aSq6zL8MtY5Vy3H6KReBfUv9a65tmQychFQqtHI62Qysh0NJ7IwE oSL2hXlccF9G7PywzHqkDLXi1t1ms1h1Q+RRsexu7exWKyXHOIml4sbAwDEPDISTxtm/su8DCpiP 0Q0qJvCOEoa+TlHYcTT408zbyHHdxk671mxg7apebXt4hQlvwydQSwcIXX8wcW0BAABOAgAAUEsB AhQDFAAAAAAAknxJXAAAAAAAAAAAAAAAADIAGAAAAAAAAAAAAO1BAAAAAGNvbXBvc2l0aW5nOndl YmdsOnVwZGF0ZS1jb21wb3NpdGVkLWNhbnZhcy1sYXllci4vdXgLAAEE9QEAAAQUAAAAVVQFAAGF b4ppUEsBAhQDFAAIAAgAiXxJXOQWkcvJEAAAajcAAF0AGAAAAAAAAAAAAKSBcAAAAGNvbXBvc2l0 aW5nOndlYmdsOnVwZGF0ZS1jb21wb3NpdGVkLWNhbnZhcy1sYXllci4vdXBkYXRlLWNvbXBvc2l0 ZWQtY2FudmFzLWxheWVyLWV4cGVjdGVkLnBuZ3V4CwABBPUBAAAEFAAAAFVUBQABcm+KaVBLAQIU AxQACAAIAIl8SVyfHbgrcAEAAFACAABoABgAAAAAAAAAAACkgeQRAABfX01BQ09TWC9jb21wb3Np dGluZzp3ZWJnbDp1cGRhdGUtY29tcG9zaXRlZC1jYW52YXMtbGF5ZXIuLy5fdXBkYXRlLWNvbXBv c2l0ZWQtY2FudmFzLWxheWVyLWV4cGVjdGVkLnBuZ3V4CwABBPUBAAAEFAAAAFVUBQABcm+KaVBL AQIUAxQACAAIAIp8SVw0tylR4AEAAHolAABbABgAAAAAAAAAAACkgQoUAABjb21wb3NpdGluZzp3 ZWJnbDp1cGRhdGUtY29tcG9zaXRlZC1jYW52YXMtbGF5ZXIuL3VwZGF0ZS1jb21wb3NpdGVkLWNh bnZhcy1sYXllci1hY3R1YWwucG5ndXgLAAEE9QEAAAQUAAAAVVQFAAF0b4ppUEsBAhQDFAAIAAgA inxJXF1/MHFtAQAATgIAAGYAGAAAAAAAAAAAAKSBkxYAAF9fTUFDT1NYL2NvbXBvc2l0aW5nOndl YmdsOnVwZGF0ZS1jb21wb3NpdGVkLWNhbnZhcy1sYXllci4vLl91cGRhdGUtY29tcG9zaXRlZC1j YW52YXMtbGF5ZXItYWN0dWFsLnBuZ3V4CwABBPUBAAAEFAAAAFVUBQABdG+KaVBLBQYAAAAABQAF ABYDAAC0GAAAAAA=