tools/syz-imagegen: rework ext4 flags

Transform the hard-coded list of feature combinations in to individual
groups of features.

1 files changed, 2 insertions, 2 deletions

diff --git a/sys/linux/test/syz_mount_image_ext4_2 b/sys/linux/test/syz_mount_image_ext4_2
index f205f6cde..7cdcbdf14 100644
--- a/sys/linux/test/syz_mount_image_ext4_2
+++ b/sys/linux/test/syz_mount_image_ext4_2
@@ -1,6 +1,6 @@
 # Code generated by tools/syz-imagegen. DO NOT EDIT.
 # requires: manual
 
-# #02: mkfs.ext4[512KB] [-L syzkaller -U clear -E test_fs -t ext2 -b 1024 -I 1024 -E lazy_itable_init=0 -E num_backup_sb=1 -E packed_meta_blocks=1 -O 64bit -O extents -O bigalloc -O ^dir_index -O ^dir_nlink -O ^ea_inode -O encrypt -O ext_attr -O ^extra_isize -O flex_bg -O ^huge_file -O inline_data -O large_dir -O ^metadata_csum -O meta_bg -O ^mmp -O quota -O ^resize_inode -O ^sparse_super -O uninit_bg -O ^verity -j -J size=1024]
+# #02: mkfs.ext4[256KB] [-L syzkaller -U clear -E test_fs -t ext2 -b 1024 -I 128 -E lazy_itable_init=0 -E packed_meta_blocks=0 -O ^64bit -E num_backup_sb=0 -O ^bigalloc -O ^dir_index -O ^dir_nlink -O ea_inode -O ^encrypt -O ^ext_attr -O ^extra_isize -O ^flex_bg -O huge_file -O inline_data -I 512 -O large_dir -O metadata_csum -O ^sparse_super -O ^meta_bg -O resize_inode -O sparse_super -O mmp -O quota -O ^uninit_bg -O ^verity -O ^has_journal]
 
-syz_mount_image$ext4(&AUTO='ext4\x00', &AUTO='./file0\x00', 0x0, &AUTO, 0x1, AUTO, &AUTO="$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")
+syz_mount_image$ext4(&AUTO='ext4\x00', &AUTO='./file0\x00', 0x0, &AUTO, 0x1, AUTO, &AUTO="$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")