Arch Linux User Repository

Hi, I'm tackling the problem with the add-ons installation, where the installer can't write to /usr/local/MATLAB/R2022b. I think we should avoid manual chmods or chowns, as it would be easy to mess up with the permissions, so I created a matlab group with rwx permissions, which owns the tree starting at /usr/local/MATLAB/R2022b. The PKGBUILD sets up the correct permissions, so after installing MATLAB, you should just add yourself to that group, re-login and then you should be able to install add-ons. So far I'm able to start the installer, download the add-on archive, but when I get to Performing post-installation tasks. This may take a few minutes..., an error occurs, and the installer logs End - Unsuccessful Exception: java.lang.InterruptedException without further information.

If anyone wants to help me resolve this issue, here is the repo: https://github.com/Rubo3/matlab-aur/tree/addons.

I updated the PKGBUILD to MATLAB R2022b. Sorry it took so long. Here are the main changes:

• The dependencies have been updated according to namcap (thanks @sukanka), and are now managed via the matlab-meta meta package, now it's really easy to play around with them, as you don't have to rebuild the entire MATLAB package (thanks @bbaserdem). I still don't know the exact dependencies needed by MATLAB, as I don't use all its toolkits and whatnots. As always, please tell me if you find something.
• The MATLAB installer now outputs its logs in install.log, under the same directory of the PKGBUILD, so that you can check whether something went wrong even if it didn't fail (e.g. when you need a new license or installation key because the major version changed).
• I moved python-matlabengine to its own repo, which is built from upstream and works for the latest MATLAB versions. Currently it supports Python 3.9 and 3.10. If you have other needs, you can find the installation instructions here. Since the source files are still provided in your local MATLAB installation under $_instdir/extern/engines/python, building it and packaging it here was really just a convenience. I would like to know how many users of this PKGBUILD really need to spoof their Python version, so that we can reason about putting back that extra logic in the other PKGBUILD.
• I also removed the Mesa workaround and the optional compilers, are they still needed?

READ THE README FILE IN THE REPO. NO AUR HELPERS SUPPORTED. ONLY ARCHLINUX AS OS IS SUPPORTED. YOU SHOULD BE BUILDING THIS PACKAGE USING MAKEPKG, NOTHING ELSE WILL BE SUPPORTED. Please only post issues here AFTER you followed the README.md. located at the root of this repo: https://aur.archlinux.org/cgit/aur.git/tree/README.md?h=matlab Due to a lot of comments; my spam filter is removing AUR notifications which keeps me from responding timely to issues in packaging, please don't post if you don't do some troubleshooting yourself. If your skill level is not up to troubleshooting (or following simple instructions as laid out by the readme), just install matlab locally, without using this package.

• This PKGBUILD is NOT a minimal installation; as it has (hard) dependencies to gcc8 to force MATLAB to use system libraries. While generally not required; this PKGBUILD is trying to make MATLAB work with the system rather than with the mathworks-provided binaries. Currently it also does the python integration so that jupyter can be used with it.
• This will only work with 2020b version; and will not work with earlier (or later) versions.
• This PKGBUILD DOES NOT DOWNLOAD MATLAB FOR YOU. The EULA prevents redistribution of the software. Read the README.md file contained in the PKGBUILD repo. This is essentially a script to integrate an existing matlab installer with your archlinux system; it does NOT come with any software from Mathworks. You most likely cannot build this package using an AUR helper; you NEED to manually provide files; and to get the files you need a valid MATLAB licence. The process of fetching the files is described in detail in the README.md in the repo. (You can use any valid credentials to install the package using this PKGBUILD; including a licence file that does not match the machine; but you will need to reactivate matlab by using activate_matlab.sh with root privileges.)
• Current users; please help me test and trim the dependencies list, and submit your personal fixes for issues if you have them so they can be added to the PKGBUILD. (Cuda related contributions; if needed would be good as I don't have nvidia GPU's to test compatibility.)
• To use jupyter with matlab; you also need jupyter-matlab_kernel(-git).

@Ketchup901 @sukanka when makepkg extracts the contents of matlab.tar, it's normal that $srcdir contains only the matlab directory and a link to matlab.tar. Then, while the original installer is running, $srcdir/build is created with all the files which can be happily consumed by package_python-matlabengine and moved around by package_matlab. But I tried with a partial install, and I confirm $srcdir/build is empty. Maybe the Python engine creation needs be done after MATLAB is packaged.

@Ketchup901 I have the same problem, I noticed there is no such file or directory (${srcdir}/build/extern/engines/python) in the downloaded tarball, only ${srcdir}/build/extern/include. (I redownloaded for several times) So makepkg will give an error. But I also tried matlab installer script, after installation, there is extern/engines/python. I don't know the reason.

@Rubo I'm using the most recent PKGBUILD. Yes, the error occurs right after "Packaging Python API". FYI I'm trying to do a partial install with only MATLAB, don't know if that makes any difference. I've edited the PKGBUILD to say partialinstall=true and products=( "MATLAB" ).

@Ketchup901 it's the directory which contains the necessary files to build the Python engine. Please make sure that python-matlabengine comes before matlab in the PKGBUILD pkgname variable, as the package_matlab function moves files needed by package_python-matlabengine, so if that's not the case, that's likely why there is no such directory and it probably means you are using an old PKGBUILD. The current one should work, or at least it works for me. Did you get the error right after -> Packaging Python API...?

What is "${srcdir}/build/extern/engines/python" supposed to be? I followed the instructions for creating matlab.tar but there is no such directory.

@MoetaYuko https://github.com/Rubo3/matlab-aur/blob/Rubo3-patch-1/PKGBUILD Before pushing an update, can you please tell me if this works for you? It seems to work for me.

Edit: I see you have forked and updated VictriD's PKGBUILD here. I have integrated your changes, thank you.

1. MatLab won't start after overriding LD_LIBRARY_PATH with gcc9 lib, the hack should be dropped.
2. libfreetype.so should be removed in package_matlab() as well, in case the tar is not prepared by install.sh

@mys_721tx Thanks, fixed it.

@Rubo Step 4 should be MATLABROOT/install instead.

Hello, I just pushed an update to the 2022a release. Some things have changed:

• The PKGBUILD is based on the one VictriD kindly provided here, with some minor adjustments to make it work against the 2022a release. For more information on how it works and what has changed, read that comment. I put the files on a GitHub repo here: https://github.com/Rubo3/matlab-aur.
• I rewrote most of the README, in order to cover some installation issues, like the correct unzip flags so that the installer doesn't complain of files being shorted than expected; the new libxcrypt-compat dependency and the FreeType shared object renaming.
• I removed matlab.script, let me know if you want it back.
• I added an install script, which covers basic installation needs (i.e. the exact procedure listed in the README), so that you only have to interact with the on-line installer. Please remember to edit the PKGBUILD products variable beforehand if you want a partial install. The points listed by bbaserdem here still hold.

It runs, but there are many errors, most likely because the dependencies on the PKGBUILD do not reflect the current ones. If you'd like to help out, here are the MATLAB dependencies for the Docker container. In the Source Repository box you can find the link to the base-dependencies.txt mentioned in the Dockerfile. If you find something interesting, please leave a message!