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PAQ8PX - Experimental Lossless Data Compressor & Entropy Estimator

About

PAQ is a family of experimental, high-end lossless data compression programs. paq8px is one of the longest-running branches of PAQ, started by Jan Ondrus in 2009 with major contributions from Márcio Pais and Zoltán Gotthardt (see Contribution Timeline).

paq8px consistently achieves state-of-the-art compression ratios on various data compression benchmarks (see Benchmark Results). This performance comes at the cost of speed and memory usage, which makes it impractical for production use or long-term storage. However, it is particularly well-suited for file entropy estimation and as a reference for compression research.

For detailed history and ongoing development discussions, see the paq8px thread on encode.su.

Quick start

paq8px is portable software – no installation required.

Get the latest binary for Windows (x64) from the paq8px thread on encode.su, or build it from source for your platform - see below.

Command line interface

paq8px does not include a graphical user interface (GUI). All operations are performed from the command line.

Open a terminal and run paq8px with the desired options to compress your file (such as paq8px -8 file.txt).
Start with a small file - compression takes time.

Example output (on Windows):

c:\>paq8px.exe -8 file.txt
paq8px archiver v209 (c) 2025, Matt Mahoney et al.

Creating archive file.txt.paq8px209 in single file mode...

Filename: file.txt (111261 bytes)
Block segmentation:
 0           | text             |    111261 bytes [0 - 111260]
-----------------------
Total input size     : 111261
Total archive size   : 19595

Time 19.58 sec, used 2163 MB (2268982538 bytes) of memory

Note

The output archive extension is versioned (e.g., .paq8px209).

Note

You can place the binary anywhere and reference inputs/outputs by path.

Some examples

Compress a file at level 8 (balanced speed and compression ratio):

paq8px.exe -8 filename_to_compress 

Compress at the maximum level with LSTM modeling included (-12L):

paq8px.exe -12L filename_to_compress 

Warning

This mode is extremely slow and memory-intensive. Make sure you have 32 GB+ RAM.

Getting help

To view all available options, run paq8px without arguments:

Click to expand: full paq8px help
paq8px archiver v209 (c) 2025, Matt Mahoney et al.

Free under GPL, http://www.gnu.org/licenses/gpl.txt

To compress:

  paq8px -LEVEL[SWITCHES] INPUTSPEC [OUTPUTSPEC]

    Examples:
      paq8px -8 enwik8
      paq8px -8ba b64sample.xml
      paq8px -8 @myfolder/myfilelist.txt
      paq8px -8a benchmark/enwik8 results/enwik8_a_paq8px209


    -LEVEL:

      Specifies how much memory to use. Approximately the same amount of memory
      will be used for both compression and decompression.

      -0 = no compression, only transformations when applicable (uses 146 MB)
      -1 -2 -3 = compress using less memory (529, 543, 572 MB)
      -4 -5 -6 -7 -8 -9 = use more memory (630, 747, 980, 1446, 2377, 4241 MB)
      -10  -11  -12     = use even more memory (7968, 15421, 29305 MB)

      The above listed memory requirements are indicative, actual usage may vary
      depending on several factors including need for temporary files,
      temporary memory needs of some preprocessing (transformations),
      and whether special models (audio, image, jpeg, LSTM) are in use or not.
      Note: memory use of the LSTM model is not included/reported.


    Optional compression SWITCHES:

      b = Brute-force detection of DEFLATE streams
      e = Pre-train x86/x64 model
      t = Pre-train the Normal+Text+Word models with word and expression list
          (english.dic, english.exp)
      a = Use adaptive learning rate
      s = For 24/32 bit images skip the color transform, just reorder the RGB channels
      l = Use Long Short-Term Memory network as an additional model
      r = Use repository of pre-trained LSTM models (implies option -l)
          (english.rnn, x86_64.rnn)


    INPUTSPEC:

    The input may be a FILE or a PATH/FILE or a [PATH/]@FILELIST.

    Only file content and the file size is kept in the archive. Filename,
    path, date and any file attributes or permissions are not stored.
    When a @FILELIST is provided the FILELIST file will be considered
    implicitly as the very first input file. It will be compressed and upon
    decompression it will be extracted. The FILELIST is a tab separated text
    file where the first column contains the names and optionally the relative
    paths of the files to be compressed. The paths should be relative to the
    FILELIST file. In the other columns you may store any information you wish
    to keep about the files (timestamp, owner, attributes or your own remarks).
    These extra columns will be ignored by the compressor and the decompressor
    but you may restore full file information using them with a 3rd party
    utility. The FILELIST file must contain a header but will be ignored.


    OUTPUTSPEC:

    When omitted: the archive will be created in the current folder. The
    archive filename will be constructed from the input file name by
    appending .paq8px209 extension to it.
    When OUTPUTSPEC is a filename (with an optional path) it will be
    used as the archive filename.
    When OUTPUTSPEC is a folder the archive file will be generated from
    the input filename and will be created in the specified folder.
    If the archive file already exists it will be overwritten.


To extract (decompress contents):

  paq8px -d [INPUTPATH/]ARCHIVEFILE [[OUTPUTPATH/]OUTPUTFILE]

    If an output folder is not provided the output file will go to the input
    folder. If an output filename is not provided output filename will be the
    same as ARCHIVEFILE without the last extension (e.g. without .paq8px209)
    When OUTPUTPATH does not exist it will be created.
    When the archive contains multiple files, first the @LISTFILE is extracted
    then the rest of the files. Any required folders will be created.


To test:

  paq8px -t [INPUTPATH/]ARCHIVEFILE [[OUTPUTPATH/]OUTPUTFILE]

    Tests contents of the archive by decompressing it (to memory) and comparing
    the result to the original file(s). If a file fails the test, the first
    mismatched position will be printed to screen.


To list archive contents:

  paq8px -l [INPUTFOLDER/]ARCHIVEFILE

    Extracts @FILELIST from archive (to memory) and prints its content
    to screen. This command is only applicable to multi-file archives.


Additional optional switches:

    -forcebinary
    Skip block detection, use the DEFAULT (binary aka generic) model set only.
    It helps when block detection would find false positives in a file with purely binary content.


    -forcetext
    Skip block detection, use the TEXT model set only.
    It helps when block detection would detect the file as DEFAULT with text-like content.


    -v
    Print more detailed (verbose) information to screen.

    -log LOGFILE
    Logs (appends) compression results in the specified tab separated LOGFILE.
    Logging is only applicable for compression.

    -simd [NONE|SSE2|AVX2|AVX512|NEON]
    Overrides detected SIMD instruction set for neural network operations


Remark: the command line arguments may be used in any order except the input
and output: always the input comes first then output (which may be omitted).

    Example:
      paq8px -8 enwik8 outputfolder/ -v -log logfile.txt -simd sse2
    is equivalent to:
      paq8px -v -simd sse2 enwik8 -log logfile.txt outputfolder/ -8

Compatibility & archive basics

A paq8px archive stores one or more files in a highly compressed format.

Note

Files and archives larger than 2 GB are not supported.

Note

paq8px archives are not compatible across different paq8px releases (past or future).

Note

A paq8px archive may contain multiple files, but once created, you cannot add to or remove files from the archive.

How to recognize it

The file extension reflects the exact paq8px version that created it (e.g., .paq8px209).
You can also check the header: if the first bytes read "paq8px", it is likely a paq8px archive.
Exact version information cannot be inferred from the archive content: the archive header does not encode the specific paq8px version used. Only the file extension reflects the version.

Single file vs multiple file modes

In single-file mode, only file contents are stored - no paths, names, timestamps, attributes, permissions, or other metadata.

In multi-file mode, you may preserve such metadata via the @FILELIST mechanism (see the help screen for details).

Notes on pre-training

Warning

Archives made with pre-training-like options (-E, -T, -R) are fragile — decompression requires the same binary and/or external files.

  1. The exe pre-training (-E)
    This option pre-trains the EXE model using the paq8px.exe binary itself.
    Archives created with a different paq8px.exe binary (even when built from the same source and build options) will differ.
    To decompress an archive created with -E, you must use the exact same executable that created it.

  2. Text pre-training (-T)
    The word list (english.dic) and expression list (english.exp) are used only to pre-train models before compression and they are not stored in the archive.
    You must have these same files available to decompress archives created with -T.

  3. LSTM pre-trained weight repositories (-R)
    If you use pre-trained LSTM repositories, ensure the same RNN weight files (english.rnn, x86_64.rnn) are available during decompression.

How to compile

Building paq8px requires a C++17 capable C++ compiler:
https://en.cppreference.com/w/cpp/compiler_support#cpp17

Windows:
On Windows, you can download a prebuilt executable instead of compiling. Just grab the latest executable from the https://encode.su/threads/342-paq8px thread.
If you would like to build an executable yourself you may use the Visual Studio solution file or in case of Mingw-w64 see the build-mingw-w64-generic-publish.cmd batch file in the build subfolder.

Linux/macOS:
The ./build folder already contains helper scripts.
You may use the following commands to build with cmake:

sudo apt-get install build-essential zlib1g-dev cmake make
cd build
./build-linux-with-cmake.sh

Testing in a Linux VM

  • Get a Linux VM (such as Lubuntu 25.04 Plucky Puffin)
  • Install the required compilers and tools with the following commands:
sudo apt update
sudo apt install gcc clang gcc-aarch64-linux-gnu g++-aarch64-linux-gnu build-essential cmake zlib1g-dev

Sample build scripts are provided in the build/ folder:

  • build/build-linux-with-cmake.sh
  • build/build-linux-with-clang.sh
  • build/build-linux-cross-compile-aarch64.sh

Tested toolchains

The following compiler/OS combinations have been tested successfully:

Version OS Compiler/IDE
v209 Windows Visual Studio 2022 Community Edition 17.14.14
v209 Windows Microsoft (R) C/C++ Optimizing Compiler Version 19.44.35216
v209 Windows MinGW-w64 13.0.0 (gcc-15.2.0)
v209 Lubuntu 25.04 Plucky Puffin gcc (Ubuntu 14.2.0-19ubuntu2) 14.2.0
v209 Lubuntu 25.04 Plucky Puffin Ubuntu clang version 20.1.2 (0ubuntu1), Target: x86_64-pc-linux-gnu
v209 Lubuntu 25.04 Plucky Puffin aarch64-linux-gnu-gcc (Ubuntu 14.2.0-19ubuntu2) 14.2.0

Other modern C++17 compilers may also work but are not routinely tested.

Note

We build and test 64-bit releases. 32-bit releases are seldom built or tested.
A known limitation of 32-bit releases is the 2 GB memory barrier. As a consequence, compression and decompression with 32-bit releases may not work ("out of memory") on level 8 and above.

Release checklist

When you make a new release:

  • Please update the version number in the "Versioning" section in the paq8px.cpp source file.
  • Please append a short description of your modifications to the CHANGELOG file.
  • If you publish an executable for Windows, always publish a static build (link the required library files statically).
  • Always publish a build for the general public (e.g. don't use -march=native).
  • Before publishing your build, please carry out some basic tests. Run your tests with asserts on (remove the NDEBUG preprocessor directive).
  • Update README.md, especially the Benchmark results.

References

How it works

paq8px compresses files bit by bit using a technique called context mixing: multiple models make probabilistic predictions for the next bit, and a mixer combines them into a single, more accurate probability, which is then encoded with an arithmetic coder.

This approach is computationally intensive but highly adaptive, making paq8px especially effective for entropy estimation, compressibility testing and research purposes.

For an in-depth technical explanation, see the DOC file.

Benchmark results

Benchmark results are provided on various corpora for comparison with other compressors.
Rankings are based solely on compression ratio, not speed or memory usage to show reference compressed sizes achievable on these datasets.
Results are drawn from official listings where available, or from community testing when benchmarks are no longer maintained.
Results last verified: Sept 21, 2025.

Summary:

Corpus / Benchmark Version Rank
Calgary v209 #2
Canterbury v209 #2
Silesia v209 #1
Lossless Photo Compression Benchmark (LPCB) v206 #1
Large Text Compression Benchmark (LTCB) v206 #10
Darek's corpus (DBA) v207fix1 #1
Maximumcompression benchmark v207fix1 #1
fenwik9 benchmark by Sportman v206fix1 #1
World English Bible benchmark by Sportman v208fix1 #1

For the Calgary, Canterbury, Silesia and MaximumCompression benchmarks, see paq8px evolution up to paq8px_v207fix1, run by Darek in his post in the paq8px thread

Calgary corpus

The Calgary corpus does not have an official maintained ranking, and most published results do not include modern experimental compressors.

Below are compressed sizes for paq8px v209 under various options, compared with cmix v21.

File -8 -12L -12LT -12RT cmix v21 (reference)
bib 19595 19550 17505 17376 17180
book1 183318 182175 176322 163431 173709
book2 113979 113516 109153 106668 105918
geo 42476 42357 42367 42367 42760
news 83023 82813 78588 77166 76389
obj1 7063 7037 6892 6892 7053
obj2 40934 40258 39950 39950 40139
paper1 12360 12340 11060 10749 10831
paper2 19538 19515 17501 16589 17169
pic 19624 19678 19677 19677 21883
progc 8870 8851 8247 8189 8193
progl 9512 9479 8900 8864 8788
progp 6378 6343 6105 6097 6126
trans 10977 10956 10070 10045 9990
Total compressed size 577'647 574'868 552'337 534'060 546'128
Compression time (approx. sec) 310 1187 1562 1567 n/a

With fair options (-12LT), paq8px v209 achieves results close to cmix v21.
With unfair options (-12RT), results surpass cmix, but these should be excluded (see Benchmarking Notes).

At the time of writing, paq8px v209 likely ranks #2 on Calgary behind cmix v21.

Canterbury corpus

The same general notes apply to the Canterbury corpus as to the Calgary corpus.

Below are compressed sizes for paq8px v209 under various options, compared with cmix v21.

File -8 -12L -12LT -12RT cmix v21 (reference)
alice29.txt 33065 32979 31242 28317 31076
asyoulik.txt 31512 31476 29630 28062 29434
cp.html 5405 5397 4745 4720 4746
fields.c 2027 2026 1864 1848 1909
grammar.lsp 861 861 749 732 771
kennedy.xls 8137 7972 7972 7972 7955
lcet10.txt 79119 78972 74770 72594 73365
plrabn12.txt 117451 116808 112625 108648 112263
ptt5 19624 19678 19677 19677 21883
sum 6825 6822 6681 6679 6870
xargs.1 1295 1298 1099 1061 1123
Total compressed size 305'321 304'286 291'054 280'310 291'395
Compression time (approx. sec) 263 1070 1348 1352 n/a

At the time of writing, paq8px v209 likely ranks #2 on Canterbury behind cmix v21.

Silesia corpus

paq8px v209 ranked #1 in The Silesia Open Source Compression Benchmark at the time of writing.

Detailed results for paq8px v209 together with cmix v21 as a reference:

File -12L cmix v21 (reference)
dickens 1865439 1802071
mozilla 6165693 6634210
mr 1835756 1828423
nci 775907 781325
ooffice 1221715 1221977
osdb 1968064 1963597
reymont 699630 704817
samba 1593115 1588875
sao 3724799 3726502
webster 4416122 4271915
xml 245899 233696
x-ray 3513402 3503686
Total compressed size 28'025'541 28'261'094
Compression time (approx. sec) 105'424 n/a

Here paq8px outperformed cmix v21 overall, though performance varies per file.

Lossless Photo Compression Benchmark (LPCB)

paq8px v206 ranked #1 at Lossless Photo Compression Benchmark.

The benchmark has not been rerun for later versions.

Large Text Compression Benchmark (LTCB)

paq8px v206 ranked #10 at Large Text Compression Benchmark at the time of writing.
Note, that unlike paq8px, most higher-ranked compressors are tuned specifically for enwik8/enwik9, and often apply enwik-specific preprocessing (e.g., word replacement, article reordering).

The benchmark has not been rerun for later versions.

Darek's corpus (DBA)

Darek's benchmark is no longer actively maintained.
This is not an exhaustive benchmark - it targets only high-end compressors.

See the last results targeting only high-end compressors in Darek's post to the encode.su forum from 2022 including results for v207fix1.

paq8px v207fix1 ranked #1 at that time.

MaximumCompression benchmark

The MaximumCompression benchmark is no longer actively maintained and has no up-to-date official listing.
The official site was last updated in 2011. At that time paq8px was ranked #1.

See paq8px evolution on the MaximumCompression benchmark up until paq8px v207fix1 in Darek's post to the encode.su forum from 2022.

Compressed sizes for v209 with compression option -12L (-12Ls for rafale.bmp).

File -12L
A10.jpg 624039
acrord32.exe 788727
english_mc.dic 331499
FlashMX.pdf 1289611
fp.log 200031
mso97.dll 1125345
ohs.doc 452266
rafale.bmp 463612
vcfiu.hlp 246167
world95.txt 309748
Total compressed size 6'455'101
Compression time (sec) 30'074

To the best of our knowledge, paq8px's latest version, v209, would still rank #1 at the time of writing.

fenwik9 benchmark

paq8px v206fix1 ranked #1 in the fenwik9 benchmark.
This is a non-standard but exhaustive single-file benchmark maintained by Sportman.

World English Bible benchmark (WEB)

paq8px v208fix1 ranked #1 in the World English Bible benchmark.
This is a non-standard but exhaustive single-file benchmark maintained by Sportman.

Benchmarking Notes

Warning

  1. Using -R to load pre-trained LSTM weight repositories is unfair if the target file to be compressed was part of the training data.
  2. Benchmarks and leaderboards change over time - rankings may shift.
  3. Hardware does not affect compression ratio and memory use, but it does affect runtime; reported times are approximate and for context only.

PAQ8PX contribution timeline

paq8px is a branch of the PAQ compressor series, descended from earlier versions such as PAQ7 and the PAQ8 variants (e.g., PAQ8A-PAQ8P).

Development began in 2009 and remains active, supported by a global community of contributors.

Work has focused on expanding model coverage (images, audio, executables, text) with emphasis on compression ratio.

The table below highlights milestones, contributors, and notable changes over the years.

Year Versions Contributors & Highlights
Pre-2009 PAQ roots Matt Mahoney: Original PAQ author. Early branches (paq8hp*, paq8fthis*, paq8p3, lpaq1) introduced context maps with 16-bit checksums, probabilistic state tables, specialized models (JPEG, sparse, DMC, distance-based), exe model/filter. Added directory compression and drag-and-drop (PAQ8A), BMP/PGM/JPEG/WAV support, APM/StateMap optimizations.
2009 v0–v67 Jan Ondrus: Founded paq8px, adding TGA/TIFF/AIFF/MOD/S3M models, PPM/PBM compression, CD sector transform, exe filters, recursive sub-blocks, WAV-model improvements.
Simon Berger: TGA 24/8-bit, TIFF/AIFF improvements, MSVC fixes, compression pipeline rewrite.
LovePimple: Portability fixes.
2010 v68–v69 Jan Ondrus: Added -l listing option, fix for multi-path file compression.
2016 v70–v75 Jan Ondrus: Add zlib recompression (initially unstable), PDF image support, Base64 transform, GIF recompression, and paq8pxd model updates (incl. im8bitModel), plus multiple bugfixes (zlib header/progress display, Base64, GIF).
2017 v76–v127 Márcio Pais: JPEG upgrades (subsampling, thumbnails, MJPEG), record/BMP models, grayscale detection, XML model, x86/x64 pre-training, PNG recompression, DEFLATE MTF + brute force, dBASE parsing, adaptive learning rate, English stemmer.
Jan Ondrus: JPEG tweaks, PAM format detection, block handling, PDF 4-bit fix.
Zoltán Gotthardt: Fixes, MSVC/Array/ilog2 fixes, faster JPEG learning rate, IO improvements.
Mauro Vezzosi: Bug reports, dmcModel patch.
2018 v128–v173 Márcio Pais: Extended text modeling (English/French/German stemmers, language detection, SparseMatchModel, SSE refinements, RLE/EOL transforms), 8bpp/24–32bpp image model improvements, JPEG tweaks, pre-training refinements.
Zoltán Gotthardt: New CLI and file handling, DMC enhancements, hashing improvements, charGroupModel, compiler/portability fixes.
Andrew Epstein: AVX2 optimizations, macOS build fixes.
2019 v174–v183 Márcio Pais: Added linearPredictionModel, audio8bModel, audio16bModel, new image/GIF/TIFF handling, text model with word embeddings.
Zoltán Gotthardt: refactoring (global scope cleanup, model factory, Shared struct), improved WordModel (PDF text extraction, pre-training), enhancements to StateMap, ContextMap2, MatchModel, and NormalModel.
2020 v184–v200 Andrew Epstein: Code cleanup, modularization, Doxygen docs.
Moisés Cardona: ARM/NEON support, base64 fix, SIMD work.
Zoltán Gotthardt: Refactoring (predictor separation, RNG, ContextMap), Sparse/SparseBit/Indirect model improvements, fixes, cleanup.
Márcio Pais: LSTM model (pre-training, retraining, x86/64 optimizations), DEC Alpha transform/model, new SSE stages.
Surya Kandau: JPEG model refinements.
2021 v201–v206 Zoltán Gotthardt: Improved IndirectContext/MatchModel, added high-precision arithmetic encoder & APMPost, introduced ChartModel, MRB detection, metadata modeling, separate mixers per block type, refined text detection, and -skipdetection option.
2022 v207 Zoltán Gotthardt: PNG filtering moved to transform layer; DEC-Alpha detection via object signature; TAR detection/transform; base85 filter (from paq8pxd); structured-text WordModel (linemodel) enhancements; separate LSTM per main context.
2023 v208 Zoltán Gotthardt: TAR detection fixes; new -forcetext option; enhanced 1-bit image model; shifted contexts (fewer in IndirectModel, added to WordModel for TEXT); refactors; Pavel Rosický: AVX512 detection
2025 v209 Zoltán Gotthardt: Model tweaks (initialized mixer weights; corrected matchmodel context); TEXT detection fixes; build/toolchain updates

This timeline is not exhaustive, for details, see CHANGELOG.

Notable borrows

paq8px incorporates ideas and code from a range of sources, often adapted and extended to fit the project’s design:

  • UTF-8 detection - based on Bjoern Hoehrmann's UTF decoder DFA; integrated by Zoltán Gotthardt
  • Base64 transform - from paq8pxd by Kaido Orav; integrated by Jan Ondrus
  • Base85 transform - from paq8pxd by Kaido Orav; integrated by Zoltán Gotthardt
  • MRB detection - from paq8pxd by Kaido Orav; integrated with enhancements by Zoltán Gotthardt
  • zlib recompression - from AntiZ; integrated by Jan Ondrus
  • Text modeling with stemming - based on the Porter/Porter2 stemmers; integrated by Márcio Pais
  • Audio modeling ideas - based on 'An asymptotically Optimal Predictor for Stereo Lossless Audio Compression' by Florin Ghido; integrated with enhancements by Márcio Pais
  • Image modeling ideas - from Emma by Márcio Pais
  • EXE model - incorporates ideas from DisFilter by Fabian Giesen; integrated with enhancements by Márcio Pais
  • ChartModel - from paq8kx7; integrated with enhancements by Zoltán Gotthardt
  • MatchModel - ideas from Emma; integrated by Márcio Pais
  • MatchModel - improvements from paq8gen; integrated by Zoltán Gotthardt
  • LSTM model - adapted from cmix by Byron Knoll; integrated with enhancements by Márcio Pais
  • OLS predictor - by Sebastian Lehmann; integrated by Márcio Pais

Similar compressors

Copyright

Copyright (C) 2009-2025 Matt Mahoney, Serge Osnach, Alexander Ratushnyak, Bill Pettis, Przemyslaw Skibinski, Matthew Fite, wowtiger, Andrew Paterson, Jan Ondrus, Andreas Morphis, Pavel L. Holoborodko, Kaido Orav, Simon Berger, Neill Corlett, Márcio Pais, Andrew Epstein, Mauro Vezzosi, Zoltán Gotthardt, Moisés Cardona and others.

We would like to express our gratitude for the endless support of many contributors who encouraged paq8px development with ideas, testing, compiling, debugging: LovePimple, Skymmer, Darek, Stephan Busch, m^2, Christian Schneider, pat357, Rugxulo, Gonzalo, a902cd23, pinguin2, Luca Biondi, and the broader community at encode.su.

License

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

See the GNU General Public License for more details at http://www.gnu.org/copyleft/gpl.html.

A summary in plain language is available at https://tldrlegal.com/license/gnu-general-public-license-v2.

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