314330 2026-05-07 11:02:25 -0700 Books using excessive `column-count: 1` break 2026-05-12 16:39:29 -0700 1 1 1 Unclassified WebKit Layout and Rendering WebKit Local Build Unspecified Unspecified RESOLVED FIXED InRadar P2 Normal --- 299836 1 fantasai.bugs fantasai.bugs bfulgham simon.fraser webkit-bug-importer zalan oldest_to_newest 2208642 0 fantasai.bugs 2026-05-07 11:02:25 -0700 From rdar://171766396 there seems to be a fair amount of content that regressed from bug 299836 because it's assuming `column-count: 1` doesn't create a multi-column box, and our multicol implementation can't handle nested fragmentation very well. (One book specified `column-count: 1` on *, even. T_T) Ideally we fix the multicol layout issues that are causing problems and/or patch the books, but in the meantime it seems like we need to revert the fix for bug 299836. 2208646 1 fantasai.bugs 2026-05-07 11:15:38 -0700 <rdar://problem/171766396> 2208648 2 fantasai.bugs 2026-05-07 11:16:49 -0700 Pull request: https://github.com/WebKit/WebKit/pull/64481 2208776 3 479525 fantasai.bugs 2026-05-07 16:12:09 -0700 Created attachment 479525 simplified testcase from the radar 2208777 4 fantasai.bugs 2026-05-07 16:15:32 -0700 Pull request: https://github.com/WebKit/WebKit/pull/64507 2210311 5 ews-feeder 2026-05-12 16:39:27 -0700 Committed 313114@main (d97b21bef909): <https://commits.webkit.org/313114@main> Reviewed commits have been landed. Closing PR #64507 and removing active labels. 479525 2026-05-07 16:12:09 -0700 2026-05-07 16:12:09 -0700 simplified testcase from the radar column-count-test.epub application/epub+zip 2834 fantasai.bugs UEsDBAoAAAAAAMWSZFxvYassFAAAABQAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi9lcHViK3pp cFBLAwQKAAAAAADFkmRcAAAAAAAAAAAAAAAACQAAAE1FVEEtSU5GL1BLAwQUAAIACADFkmRcFrWz 3K4AAAD8AAAAFgAAAE1FVEEtSU5GL2NvbnRhaW5lci54bWxdjsEKwjAQRO/9irBXqdGbhKaCoFcF 9QNiutVguhuaVPTvTXso4nFg3ryptu/Oixf20TFpWC9XIJAsN47uGq6XQ7mBbV1UlikZR9j/dTNN UcPQk2ITXVRkOowqWcUBqWE7dEhJTTU1j0BdCFH1zKl1HuOYfrJoB+/LYNJDw3G/O53lCOaZJYcW RIeNM2X6BNRgQvDOmpQPScZbiBmzT3PHRTaCnDTyx1PJ+UNdfAFQSwMECgAAAAAATpRkXAAAAAAA AAAAAAAAAAYAAABPRUJQUy9QSwMEFAACAAgAxpJkXMOpK4TUAAAAKQEAAA8AAABPRUJQUy9uYXYu eGh0bWxVj7FywyAMhnc/BdVey26H1j5BhqQZ2w7p0JHYxOaOAGcTO3n7gpk6cZI+fb+g3f1q2KKm WTvLoS4rYMp2rtd24PBzOj6/w04U9HT42p9+vz/YGK4m1ulhcdXOHMYQfIu4rmu5vpZuGrBumgbv iYEMtcrfzv9I3fvLxr5U1Rs6P0OyKtkLCjoYJT7logcZ4lmEuUO4zQs6u/4hCsbIyoUlcxseXnEI roPUjxNnBBktSLJxUhcO3Sh9UFNd5qvEPtesJpRRnFCMO0mK0RpDMKfE0O3Hf1BLAwQUAAIACABO lGRc8aTViXgEAAAGFwAAFAAAAE9FQlBTL2NoYXB0ZXIxLnhodG1s7VhNb9w2FLznV7C6R6rRS12s HSBO0wJFURfZIuiREp8kVhQpU5S03l/feaSaVWAjCJo9GIZPC6/I9zEzb568uzeH3oiZ/Kidvcou 8u8zQbZyStvmKvtr//71j9mb61e77979cbP/+/Zn0Ybe4G/+ELhqx6usDWH4qSiWZcmXH3Lnm+Li 8vKyOPCZjM+SVNevhNgFHQxd37RyCOTFxa5IX/Ajo20nPJmrbAz3hsaWKGQi3A90lQU6hKIax0y0 nur1RM5fFIhepPC70ql7fCg9i8rIEXVVzgay4fXi5TCQz2Ki4foX4/wgD6LGM11OhsQij8epF8oT ddKIocVFPYqe8NRZMXZezzrci3+kX1zV5eIW5Srnxd2UbrZUIxQijRbtGxnEQkNwVh9E5ad+lnhU Gj0G3TmVi72XttG1JoUcxrhlOuCmHmbpFVnRGBeCrlFi6aeBkEkcqa713YRiWunD1JfmPhcf3fFo qPY4OGhrdZgUIR8izpKrGy2A1t1kEIfv2wYlid41jaEFYfJdMayYfLCTn3ERoRqvh5S0JFMzEncT Q6SOukfQylAAe6k6ZxXHz8Wfk65r8hwfWZvSTJ4x6IdYCELGSo0bRPATLs10QCHIYxp5yMV7dKIN qrRBdIb6PvUyVsycodlxtBaY6wbhAPQYZD1BMRVHwwUO8isg1ziaSmgYGR2OYnGxHaag8Ywc3U06 oA4aR1073zEHEbANHm8RNzBKB9ExdOhccViPZCiIUWKOZmkptlnHBgHOpBoqUUMkmRPHDADAGFxH TwB1ZiZRZk98KeBc0s1kGJZFc8tKWujshnmL7fGJwHL1BtEkXxygzQ7ZIb1YHkC3CoNsZV2jPV0B SS4wF7+ZiMHMpIyYIaV0n9RlGSbnac2KWiKoDE0PckXjTA0uPG2wueW8K0FABLIpvWZEJkjAQigM aFh7BKcjxCkDUkS5Vj529u7UGcCxQaJEjgcZYkbQAHhiWG0Dp8CdULVkFtZBy1pJfe0Tn6njJQYs +QhHVDLylGCLJOBk1XGBRsWpxPNaQze/uw0NmoM0Sb1m0KHlJlbAS1ZciKNkesdcJpWMEJTaAPSR eBaiNphX5Gm4f+Q0JsEaFaxXacRKmG9MBFrjJtlhJMbMzlFqj4lnJTj13m4kmCYiafDDOghxfpIG uKp1HpOA+ohbbJ/HNs1mtxHh/kRVGYd3FaHbiFD+J8JqK8J6I8ITPC/++9B/3/roBegnfBJhmpl+ SHGhQWOSIGChkR1G/qQkdotIPZsWk6rnNAvRQj/p54GjK3bc1dJZMY8sgkc8W9SPWvaZXTiJiRNX SYTrgvGdRl+KbYu/XRt1PEjYDFHUqC4VtN8CEGdpnUFgsc7SxsE3Rrw183M4qDiHcZ7AeX4OKs5g nNs19cwc9DMRlv/TMF7ecb7qHeflffhzJ37Z2Q939str3hdf857O8n46m/KEzrlW5rN5cTzz/5ff bn7iaezHEy5PaFE+hf12vmX9XJbbZjV965Z7rr/P7ApokT/WX4uL9HP2v1BLAwQUAAIACADGkmRc oRhh7n0BAADyAgAAEQAAAE9FQlBTL2NvbnRlbnQub3BmjZLBbtswDIbveQpB18KWnXRtZ9juocCe ILvspkl0IkySVYlqkrefLNtJ010GGIYo8v9I/nb7ejaafIAParQdrcuKErBilMoeOvpz/6N4oa/9 pnVc/OEHIKnaho4eEV3D2Ol0KpV0Qzn6A9tW1TMb3UBvuN2Ei1a9RyiUBItqUOA7GpWk/YaQ1gBy yZHP3EaKK9pFrzNWCgYaTBIHVpc1y8IklaK5IYmSCzV628R0aurt7vHb0/NLMR2+vKb77/y3aNkd 5UZGhRr6t1FHY8nbGC2SPQTM9XPuWqq5PcRkTQ82p6/xXDFtSJwfHXi8dFQKBG9CY5LDqWUaeFtt n4pqV1SP+6pq8vOrZZMsO8RWi2a/uFVDGmSBKwSTVxdH7hK4puToYbjF5fmIRlNiQCpe4MVBR7lz WgmO6QuxnH5I5lP2FRnwomHl5aAUIdyjEM7Iptt/1JZ/rNp0/P8xVqsUhBnCFhc+Ld4Gpyx86pja pKZ3i6+6pbRlyw/cb/4CUEsDBBQAAgAIAE6UZFwyPV56MQAAAEUAAAAPAAAAT0VCUFMvc3R5bGUu Y3NzS8pPqVSo5lJQSM7PKc3N003OL80rsVIwtOaq5eLSS87PK0nNK9EtL0osKEgtwqUQAFBLAQIe AwoAAAAAAMWSZFxvYassFAAAABQAAAAIAAAAAAAAAAAAAACkgQAAAABtaW1ldHlwZVBLAQIeAwoA AAAAAMWSZFwAAAAAAAAAAAAAAAAJAAAAAAAAAAAAEADtQToAAABNRVRBLUlORi9QSwECHgMUAAIA CADFkmRcFrWz3K4AAAD8AAAAFgAAAAAAAAABAAAApIFhAAAATUVUQS1JTkYvY29udGFpbmVyLnht bFBLAQIeAwoAAAAAAE6UZFwAAAAAAAAAAAAAAAAGAAAAAAAAAAAAEADtQUMBAABPRUJQUy9QSwEC HgMUAAIACADGkmRcw6krhNQAAAApAQAADwAAAAAAAAABAAAApIFnAQAAT0VCUFMvbmF2LnhodG1s UEsBAh4DFAACAAgATpRkXPGk1Yl4BAAABhcAABQAAAAAAAAAAQAAAKSBaAIAAE9FQlBTL2NoYXB0 ZXIxLnhodG1sUEsBAh4DFAACAAgAxpJkXKEYYe59AQAA8gIAABEAAAAAAAAAAQAAAKSBEgcAAE9F QlBTL2NvbnRlbnQub3BmUEsBAh4DFAACAAgATpRkXDI9XnoxAAAARQAAAA8AAAAAAAAAAQAAAKSB vggAAE9FQlBTL3N0eWxlLmNzc1BLBQYAAAAACAAIAOABAAAcCQAAAAA=