MultiPar
ParPar
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MultiPar
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Red Dead Redemption 2 PEDS_10 and rdr3.resident.rpf corrupted files and mismatch
but... depending on how much effort you want to spend fixing it I might be able to fix your current corrupt files, especially if the corrupt files are only mildly corrupt I could create a '.par2' file from mine (assuming you are on build 1436.28), then you would use MultiPar (i.e. https://github.com/Yutaka-Sawada/MultiPar/releases ) to scan your files and it will tell me how many blocks you need to fix it and then I could create recovery data with MultiPar. doing this might dramatically lower the amount of data I would have to upload as then you could use MultiPar which will fix your current corrupt files so they match mine identically.
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WinRAR zero-day exploited since April to hack trading accounts
MultiPar is the continuation for Windows https://github.com/Yutaka-Sawada/MultiPar
And this for Linux https://github.com/animetosho/par2cmdline-turbo
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It‘s been more than 2 years that animetosho plead uploaders to stop RAR‘in their Usenet uploads. What are Your thoughts on this in 2023?
* MultiPar supports in-situ repair, which bypasses this problem entirely
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unRAID Under the premise of Parity Disk, how to specify to rebuild the specified directory or file?
To detect bitrot I use dynamix file integrity plugin, it compute Blake3 hash for each file, it is stored as extend attribute. You Can choose which share will be covered. For correction i then use par2 files using multipar https://hp.vector.co.jp/authors/VA021385/ https://github.com/Yutaka-Sawada/MultiPar (Windows only, par2cmdline for Linux. You could compile from source and add it to unraid if you want, i've done it for testing purpose)
- How does Multi Par works?
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How to ensure file integrity?
And last but not less important - make regular parity files of your healthy important data, and store them somewhere. MultiPar is your best friend. Even if your data gets corrupt, with parity files you can restore it to it's former glory. Some limitations will apply, read the manual.
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Is there a way to quickly create PAR2 files from the Windows context menu?
This is possible with MultiPar https://github.com/Yutaka-Sawada/MultiPar
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I need to store a 1MB file for 20 years, would making thousands of copies on a 4.7gb DVD be enough?
More sanely, perhaps, get some M-Disc DVDs (if you can find real ones - apparently they're becoming just normal DVDs) and put one file on each, and then run https://github.com/Yutaka-Sawada/MultiPar on it to create parity files. Then store the file, the parity files, and the software you need (MultiPar) on the disc. To be safe, you probably also need to store the DVD burner you used to make it, as those are getting thin on the ground these days.
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Best archival medium for 3-10 gig video files?
Note about par2: if one is using a windows system with a nvidia GPU this version of par2 is faster as it speaks CUDA.
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Usenet vs Torrents for more results
For any file repairs use multipar, it's still being updated and has gpu acceleration. https://github.com/Yutaka-Sawada/MultiPar/releases
ParPar
- Getting "checksum mismatch" too often when creating pars with latest version of MultiPar
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AVX-512 Performance Comparison: AMD Genoa vs. Intel Sapphire Rapids & Ice Lake Review
PAR2 creation (file-based error correction): the core routine here is GF(2^16) matrix multiplication. AVX512 has the GF2P8AFFINEQB instruction, which isn't present on any GPU that I know of, but massively accelerates GF multiplication. Without this instruction, you have to resort to emulating it via bitwise operations or lookup tables, which are much slower. I actually have an OpenCL implementation, but its performance is rather meh compared to CPU
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Optimal par2 Switches for Mixed Data . .
Did you tried to use parpar for creating par2 files? Supposed to be much faster. https://github.com/animetosho/ParPar
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AMD EPYC 9554 & EPYC 9654 Benchmarks
I've been developing a performance oriented PAR2 tool (used for generating file-based redundancy for error correction), but without access to a lot of hardware, I don't have that much ability to tune it to various microarchitectures. Currently there's no real benchmark setup defined/implemented (though it shouldn't be hard to come up with one), and it certainly isn't tuned for the number of cores on EPYC, but I've never really thought PAR2 benchmarks would interest that many people.
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Analysing the Effectiveness of WinRAR's RAR5 Recovery Records
QuickPar is ancient at this stage, however the PAR2 format hasn't changed since, so the concepts are still the same. For a more modern client, I generally recommend MultiPar. I've also written a PAR2 client, ParPar (CLI, or experimental GUI frontend), but it only supports creating PAR2s, not verify/repair.
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What is the best method for file integrity preservation?
Also this implementation of par is the fastest I've seen (for creation only thought) https://github.com/animetosho/ParPar
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Fastest Parity creator on Linux
For PAR2, I did a benchmark comparison here of every tool, which you can use to make up your mind. par2j (Multipar) and phpar2 are Windows only, but work via Wine. ParPar only supports create, so you'll need to use a different client for verify/repair.
What are some alternatives?
dvdisaster - A tool providing additional ECC protection for optical media (unofficial version)
UDPspeeder - A Tunnel which Improves your Network Quality on a High-latency Lossy Link by using Forward Error Correction, possible for All Traffics(TCP/UDP/ICMP)
snapraid - A backup program for disk arrays. It stores parity information of your data and it recovers from up to six disk failures
ParParGUI - GUI front-end to ParPar, a PAR2 creation tool
Nyuu - Flexible usenet binary posting tool
qr-asm - Generate a QR code from scratch with only ARM assembly.
par2cmdline - Official repo for par2cmdline and libpar2
FastHamming - Fast implementation for truncateable extended (127,120) Hamming codes
HBBatchBeast - A free GUI application for HandBrake and FFmpeg/FFprobe with an emphasis on batch conversion (including recursive folder scans and folder watching) -Windows, macOS, Linux & Docker
openbenchmarking