program:
r0 = socket(0x10, 0x3, 0x0)
r1 = geteuid()
syz_mount_image$bcachefs(&(0x7f000000f640), &(0x7f000000f680)='./file0\x00', 0x0, &(0x7f0000000240)={[{@compression={'compression', 0x3d, 'gzip'}}, {@degraded}, {@fsck}, {@read_only}, {@fix_errors={'fix_errors', 0x3d, 'yes'}}], [{@fowner_gt={'fowner>', r1}}]}, 0x0, 0xf631, 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VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV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qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqrCft2GVlUGcAB/zr13et3d7M4+eCuoDFJZbwuJoqAG1YjIVRj0AqJl1kD9IPbBIHAb2hZ+CSMIpFoEvSyiMEozEqHWh4LVJ6OgN78kRDCkjcoPxrZz5t3xnqZHVlC/HxyePc8593+et3t2DwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8L+3sFSbKj/btW2i+8LbP+/fOL7jjoNb+t48cPmR5/d3re1bffzEvTtHRw6+M9T2zZ5bbxv+4+6xHw8dPjln8Pbpoj2ulkOIxqMQdt68bmJg5Iulk21RCKEYVXtDaIuWjLRFqYSOP0MIj870c/bJD8dXPTZZ9u1eOKv9vFRIelyhUkz6M606u7/8t5TjfVZYdWjg6Ktd7+/r6pw4tm3fjb2nLokmrzkQ76cQFq9Pf77QIPeRDT3t7Zs2PvnKlcM/r/t1ac/wi3euWXn/A2+3LFr70jPb91z78uD39z18xXvNTSGERfExKdmtteTmcXlPCKG5Lv+GOcZ12RmO/+qM+iVxuSAuK3PkJOeXperpuUl/iRNNqbJ1jvudq0Zr1khWf89WyzzlzpWXjDN5jH0Ul+1nmV9MjigUolCaud3m6NQeCXXrFoVoai3LM/XCVL1Q19+m2f2PUvVCql5sSo1r6r7xRitG0ez25LpUezIPpbh9Wf2zvoE1Ge0XxGU5/qL+ntRD+o9pldP+mBnXlKRfY3/Tl39Coe4Z1Kh9ZuHjxajEbZVoyWmfOdlAcq50TcvegWqpu5rRj+jdKM6PcuUXFvz2yUOdl7bXsvLXF+L8Qq786x8ceOqJL3csz8x/Nskv5sr/6a3XjvbUBi/KnJ+xZH5KufJXXHfx0+XRWm1lVv5Qkl/Olb/8l9ePfzzafySz/x3J/CzKlb95rPXxLUNbv87MD0l+c678W3Yf6+l847vnMvMPJ/NTyZW/f2/3DwtXf/pBR1b+V0l+a678q/pXnOja1XVT5v7sTOanmiu/etfWDd9uKvZnPTuj3jP9DwtAI+fHv7EG43re99RzVfe+8EI1mv7N1xIf8/muNnmfxfOYDwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwL/jrwAAAP//KzMQRA==")
socketpair$unix(0x1, 0x1, 0x0, &(0x7f0000000080)={0xffffffffffffffff, <r2=>0xffffffffffffffff})
ioctl$sock_SIOCGIFINDEX(r2, 0x8933, &(0x7f0000000140)={'lo\x00', <r3=>0x0})
sendmsg$nl_route_sched(r0, &(0x7f0000000000)={0x0, 0x0, &(0x7f0000000040)={&(0x7f00000003c0)=@newqdisc={0x4c, 0x24, 0xd0f, 0x400000, 0x0, {0x60, 0x0, 0x0, r3, {}, {0xffff, 0xffff}, {0x8, 0x2}}, [@qdisc_kind_options=@q_netem={{0xa}, {0x1c, 0x2, {{0x4, 0x10, 0x81, 0x100000, 0x3f, 0x5}}}}]}, 0x4c}, 0x1, 0x0, 0x0, 0x44001}, 0x0)
syz_emit_ethernet(0x4a, &(0x7f0000000180)=ANY=[@ANYBLOB="aaaaaaaaaaaaffffffffffff86dd604dd30800140600fe8000000000000000000000000000aafe8000000000000000000000000000aa00004001", @ANYRES32=0x41424344, @ANYRES32=0x41424344, @ANYBLOB="b68336c50fefd7efbaf0e1a6c107255c6c32b296239396a924af3b5d77cfa3e58e79eca8011ee6220298e059bef9e2b9ed0cc83b8a88d1e60e6e2583c753b92affcbda7b52505043ca5fa7de42e5609fc7045ba7d726f051a2586fdc6aa958be4cef172c4531ac90c6465cac0681c0fa370ba3bc4d"], 0x0)

[  119.158963][ T4672] Bluetooth: hci0: command tx timeout
[  119.364570][ T5343] loop0: detected capacity change from 0 to 32768
[  119.467071][ T5343] bcachefs (loop0): starting version 1.7: mi_btree_bitmap opts=metadata_checksum=none,data_checksum=none,compression=gzip,metadata_target=/dev/loop0,noinodes_use_key_cache,degraded=yes,fsck,fix_errors=yes,nojournal_transaction_names
[  119.467084][ T5343]   allowing incompatible features above 0.0: (unknown version)
[  119.467088][ T5343]   features: lz4,new_siphash,inline_data,new_extent_overwrite,btree_ptr_v2,new_varint,journal_no_flush,alloc_v2,extents_across_btree_nodes
[  119.487079][ T5343] bcachefs (loop0): Using encoding defined by superblock: utf8-12.1.0
[  119.491028][ T5343] bcachefs (loop0): invalid bkey in superblock btree=snapshots level=0: u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq d771a06d670df06c written 16 min_key POS_MIN durability: 1 ptr: 0:32:0 gen 0
[  119.491057][ T5343]   invalid key type for btree snapshots (btree_ptr_v2), deleting
[  119.504867][ T5343] bcachefs (loop0): recovering from clean shutdown, journal seq 13
[  119.508098][ T5343] bcachefs (loop0): Version upgrade required:
[  119.508098][ T5343] Version upgrade from 0.32: (unknown version) to 1.7: mi_btree_bitmap incomplete
[  119.508098][ T5343] Doing incompatible version upgrade from 0.32: (unknown version) to 1.28: inode_has_case_insensitive
[  119.508098][ T5343]   running recovery passes: check_allocations,check_extents_to_backpointers,check_snapshots,check_subvols,check_inodes,check_dirents,set_fs_needs_rebalance
[  119.540420][ T5343] bcachefs (loop0): btree node read error at btree alloc level 0/0
[  119.540453][ T5343]   u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1818ce08861e3527 written 40 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0
[  119.540463][ T5343]   loop0 node offset 8/40 bset u64s 375: checksum error, type chacha20_poly1305_128: got a978e90f7b45eab5d7861433965d2830 should be 61ec379a8789477e76ff1a5280fd6dbd
[  119.540473][ T5343]   loop0 node offset 24/40 bset u64s 10: checksum error, type chacha20_poly1305_128: got faa1a153ba00f525ca6b204551f5191d should be eca0b87f8a1bd5d855d98c80b1d5305e
[  119.540490][ T5343]   repair success (rewriting node)
[  119.573954][ T5343] bcachefs (loop0): accounting_read... done
[  119.577872][ T5343] bcachefs (loop0): alloc_read... done
[  119.581021][ T5343] bcachefs (loop0): snapshots_read... done
[  119.584969][ T5343] bcachefs (loop0): check_allocations...
[  119.589302][ T5343] bcachefs (loop0): bucket 0:34 gen 0 different types of data in same bucket: journal, user
[  119.589328][ T5343]   while marking u64s 8 type extent 4099:8:U32_MAX len 8 ver 1: durability: 1 crc: c_size 8 size 8 offset 0 nonce 0 csum chacha20_poly1305_80 e371:ac69b75b10c57971  compress incompressible ptr: 0:34:0 gen 0, fixing
[  119.607489][ T5343] bcachefs (loop0): bucket 0:34 gen 0 different types of data in same bucket: journal, user
[  119.607504][ T5343]   while marking u64s 8 type extent 1073741825:24:U32_MAX len 24 ver 2: durability: 1 crc: c_size 8 size 24 offset 0 nonce 0 csum chacha20_poly1305_80 5c1d:75853c64f7009f9d  compress lz4 ptr: 0:34:8 gen 0, fixing
[  119.621340][ T5343] bcachefs (loop0): bucket 0:38 gen 0 different types of data in same bucket: journal, btree
[  119.621354][ T5343]   while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 2a20405ac3f40602 written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0, fixing
[  119.634024][ T5343] bcachefs (loop0): bucket 0:35 gen 0 different types of data in same bucket: journal, btree
[  119.634039][ T5343]   while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq d682cebdf2a7eb26 written 16 min_key POS_MIN durability: 1 ptr: 0:35:0 gen 0, fixing
[  119.647344][ T5343] bcachefs (loop0): bucket 0:36 gen 0 different types of data in same bucket: journal, btree
[  119.647360][ T5343]   while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 3b468546fb27822d written 24 min_key POS_MIN durability: 1 ptr: 0:36:0 gen 0, fixing
[  119.659177][ T5343] bcachefs (loop0): bucket 0:9 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.664699][ T5343] bcachefs (loop0): bucket 0:9 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.674291][ T5343] bcachefs (loop0): bucket 0:10 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.679555][ T5343] bcachefs (loop0): bucket 0:10 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.686491][ T5343] bcachefs (loop0): bucket 0:11 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.691175][ T5343] bcachefs (loop0): bucket 0:11 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.696679][ T5343] bcachefs (loop0): bucket 0:12 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.701922][ T5343] bcachefs (loop0): bucket 0:12 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.707452][ T5343] bcachefs (loop0): bucket 0:13 gen 0 has wrong data_type: got (invalid data type), should be need_discard, fixing
[  119.713794][ T5343] bcachefs (loop0): bucket 0:13 gen 0 data type need_discard has wrong dirty_sectors: got 402, should be 0, fixing
[  119.719187][ T5343] bcachefs (loop0): bucket 0:14 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.724726][ T5343] bcachefs (loop0): bucket 0:14 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.729890][ T5343] bcachefs (loop0): bucket 0:15 gen 0 has wrong data_type: got journal, should be need_discard, fixing
[  119.734647][ T5343] bcachefs (loop0): bucket 0:15 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing
[  119.740235][ T5343] bcachefs (loop0): bucket 0:32 gen 0 has wrong data_type: got btree, should be journal, fixing
[  119.746616][ T5343] bcachefs (loop0): bucket 0:33 gen 0 has wrong data_type: got free, should be journal, fixing
[  119.751049][ T5343] bcachefs (loop0): bucket 0:33 gen 0 data type journal has wrong dirty_sectors: got 0, should be 256, fixing
[  119.756879][ T5343] bcachefs (loop0): bucket 0:34 gen 0 has wrong data_type: got user, should be journal, fixing
[  119.761693][ T5343] bcachefs (loop0): bucket 0:34 gen 0 data type journal has wrong dirty_sectors: got 16, should be 256, fixing
[  119.768872][ T5343] bcachefs (loop0): bucket 0:37 gen 0 has wrong data_type: got free, should be journal, fixing
[  119.768887][ T5343]   Ratelimiting new instances of previous error
[  119.777048][ T5343] bcachefs (loop0): bucket 0:37 gen 0 data type journal has wrong dirty_sectors: got 0, should be 256, fixing
[  119.785490][ T5343]  done
[  119.788262][ T5343] bcachefs (loop0): going read-write
[  119.817263][ T5343] bcachefs (loop0): journal_replay...
[  119.831268][ T1038] bcachefs (loop0): u64s 13 type alloc_v4 0:33:0 len 0 ver 0: 
[  119.831295][ T1038]     gen 0 oldest_gen 0 data_type journal
[  119.831301][ T1038]     journal_seq_nonempty 0
[  119.831306][ T1038]     journal_seq_empty    0
[  119.831312][ T1038]     need_discard         0
[  119.831317][ T1038]     need_inc_gen         0
[  119.831322][ T1038]     dirty_sectors        256
[  119.831327][ T1038]     stripe_sectors       0
[  119.831332][ T1038]     cached_sectors       0
[  119.831338][ T1038]     stripe               0
[  119.831343][ T1038]     stripe_redundancy    0
[  119.831348][ T1038]     io_time[READ]        0
[  119.831352][ T1038]     io_time[WRITE]       0
[  119.831357][ T1038]     fragmentation     0
[  119.831361][ T1038]     bp_start          8
[  119.831366][ T1038]   
[  119.831371][ T1038]   incorrectly set at freespace:0:33:0 (free 0, genbits 0 should be 0), fixing
[  119.875127][ T1038] bcachefs (loop0): u64s 13 type alloc_v4 0:37:0 len 0 ver 0: 
[  119.875142][ T1038]     gen 0 oldest_gen 0 data_type journal
[  119.875148][ T1038]     journal_seq_nonempty 0
[  119.875153][ T1038]     journal_seq_empty    0
[  119.875159][ T1038]     need_discard         0
[  119.875165][ T1038]     need_inc_gen         0
[  119.875171][ T1038]     dirty_sectors        256
[  119.875177][ T1038]     stripe_sectors       0
[  119.875183][ T1038]     cached_sectors       0
[  119.875189][ T1038]     stripe               0
[  119.875195][ T1038]     stripe_redundancy    0
[  119.875201][ T1038]     io_time[READ]        0
[  119.875206][ T1038]     io_time[WRITE]       0
[  119.875212][ T1038]     fragmentation     0
[  119.875218][ T1038]     bp_start          8
[  119.875223][ T1038]   
[  119.875228][ T1038]   incorrectly set at freespace:0:37:0 (free 0, genbits 0 should be 0), fixing
[  119.918323][ T1038] ------------[ cut here ]------------
[  119.920714][ T1038] kernel BUG at fs/bcachefs/journal.h:245!
[  119.924274][ T1038] Oops: invalid opcode: 0000 [#1] SMP KASAN NOPTI
[  119.926893][ T1038] CPU: 0 UID: 0 PID: 1038 Comm: kworker/u4:6 Not tainted 6.16.0-rc3-syzkaller-00057-g92ca6c498a5e #0 PREEMPT(full) 
[  119.931795][ T1038] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.16.3-debian-1.16.3-2~bpo12+1 04/01/2014
[  119.936230][ T1038] Workqueue: btree_update btree_interior_update_work
[  119.938907][ T1038] RIP: 0010:__bch2_trans_commit+0x8700/0x8880
[  119.941368][ T1038] Code: 49 bd 00 00 00 00 00 fc ff df 4c 8b 64 24 40 e9 7a b0 ff ff e8 71 a9 97 fd 90 0f 0b e8 69 a9 97 fd 90 0f 0b e8 61 a9 97 fd 90 <0f> 0b f3 0f 1e fa 65 8b 1d 67 4c 74 0e bf 07 00 00 00 89 de e8 87
[  119.949042][ T1038] RSP: 0018:ffffc900025c7500 EFLAGS: 00010293
[  119.951320][ T1038] RAX: ffffffff8428a3bf RBX: 000000000000002f RCX: ffff888035904880
[  119.954318][ T1038] RDX: 0000000000000000 RSI: 000000000000002f RDI: 0000000000000038
[  119.957668][ T1038] RBP: ffffc900025c77f0 R08: 0000000000000000 R09: 0000000000000000
[  119.960438][ T1038] R10: 0000000000000000 R11: 000000000000001a R12: 1ffff1100ab2081d
[  119.963559][ T1038] R13: 0000000000000038 R14: ffff8880558d0e58 R15: 000000000000002f
[  119.966834][ T1038] FS:  0000000000000000(0000) GS:ffff88808d251000(0000) knlGS:0000000000000000
[  119.970416][ T1038] CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[  119.972832][ T1038] CR2: 000056046f90eb10 CR3: 000000001234e000 CR4: 0000000000352ef0
[  119.975811][ T1038] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000
[  119.978949][ T1038] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400
[  119.982281][ T1038] Call Trace:
[  119.983692][ T1038]  <TASK>
[  119.985010][ T1038]  ? btree_interior_update_work+0x1082/0x27d0
[  119.987552][ T1038]  ? __pfx___bch2_trans_commit+0x10/0x10
[  119.989745][ T1038]  ? btree_interior_update_work+0xe71/0x27d0
[  119.992174][ T1038]  btree_interior_update_work+0x1082/0x27d0
[  119.994545][ T1038]  ? __pfx_btree_interior_update_work+0x10/0x10
[  119.997106][ T1038]  ? _raw_spin_unlock_irq+0x23/0x50
[  119.999270][ T1038]  ? process_scheduled_works+0x9ef/0x17b0
[  120.001376][ T1038]  ? process_scheduled_works+0x9ef/0x17b0
[  120.003640][ T1038]  process_scheduled_works+0xae1/0x17b0
[  120.005833][ T1038]  ? __pfx_process_scheduled_works+0x10/0x10
[  120.008212][ T1038]  worker_thread+0x8a0/0xda0
[  120.010129][ T1038]  kthread+0x70e/0x8a0
[  120.011805][ T1038]  ? __pfx_worker_thread+0x10/0x10
[  120.013890][ T1038]  ? __pfx_kthread+0x10/0x10
[  120.015805][ T1038]  ? _raw_spin_unlock_irq+0x23/0x50
[  120.017892][ T1038]  ? lockdep_hardirqs_on+0x9c/0x150
[  120.020035][ T1038]  ? __pfx_kthread+0x10/0x10
[  120.021889][ T1038]  ret_from_fork+0x3fc/0x770
[  120.023810][ T1038]  ? __pfx_ret_from_fork+0x10/0x10
[  120.025925][ T1038]  ? __pfx_kthread+0x10/0x10
[  120.027925][ T1038]  ret_from_fork_asm+0x1a/0x30
[  120.029883][ T1038]  </TASK>
[  120.031178][ T1038] Modules linked in:
[  120.033475][ T1038] ---[ end trace 0000000000000000 ]---
[  120.039354][ T1038] RIP: 0010:__bch2_trans_commit+0x8700/0x8880
[  120.041948][ T1038] Code: 49 bd 00 00 00 00 00 fc ff df 4c 8b 64 24 40 e9 7a b0 ff ff e8 71 a9 97 fd 90 0f 0b e8 69 a9 97 fd 90 0f 0b e8 61 a9 97 fd 90 <0f> 0b f3 0f 1e fa 65 8b 1d 67 4c 74 0e bf 07 00 00 00 89 de e8 87
[  120.049846][ T1038] RSP: 0018:ffffc900025c7500 EFLAGS: 00010293
[  120.052663][ T1038] RAX: ffffffff8428a3bf RBX: 000000000000002f RCX: ffff888035904880
[  120.055888][ T1038] RDX: 0000000000000000 RSI: 000000000000002f RDI: 0000000000000038
[  120.059157][ T1038] RBP: ffffc900025c77f0 R08: 0000000000000000 R09: 0000000000000000
[  120.063096][ T1038] R10: 0000000000000000 R11: 000000000000001a R12: 1ffff1100ab2081d
[  120.066450][ T1038] R13: 0000000000000038 R14: ffff8880558d0e58 R15: 000000000000002f
[  120.069424][ T1038] FS:  0000000000000000(0000) GS:ffff88808d251000(0000) knlGS:0000000000000000
[  120.073414][ T1038] CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[  120.076561][ T1038] CR2: 000056046f90eb10 CR3: 0000000051569000 CR4: 0000000000352ef0
[  120.079646][ T1038] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000
[  120.083017][ T1038] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400
[  120.086380][ T1038] Kernel panic - not syncing: Fatal exception
[  120.089180][ T1038] Kernel Offset: disabled
[  120.090912][ T1038] Rebooting in 86400 seconds..