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).

@kahlos - Not only these dependencies are required, there are actually more required dependencies in newer releases. The fact that MATLAB launched successfully on your minimal system doesn't mean that all the vast of MATLAB toolboxes will run successfully. Some toolboxes, like Image Acquisition, requre gstreamer (not gstreamer 0.10). Some functionality, like SDI or Add-on Manager, require libselinux. Some features may require ffmpeg. And it goes on. The wiki mentiones some of these caveates - but i just wanted to caution you that the fact that you have bare X running doesn't mean all aspects of MATLAB will work successfully.

@kahlos - thanks for the script. I haven't touched this package in a long time. daniel_shub is in charge as far as I know, have a look at his matlab-<YYYY[a|b]> packages, e.g. matlab-2015b.

With the latest versions of MATLAB this AUR package isn't working very well and I'm not sure all the dependencies are actually required any more. I'm running a fairly minimal system, where I installed MATLAB manually and it seems to be working fine. I created a script to silently install MATLAB packages, which might be useful to others: https://gist.github.com/kahlos/97c9371f7a5476678ef11c836c97a14f

The PKGBUILD is outdated for R2017a, you got to change the line 91 to remove libstdc++.so.6.0.17 to libstdc++.so.6.0.20 since this version uses the new library.

Please note that MATLAB does not run under GCC7 because of the ABI changes in libgfortran (major version number bumped from 3 to 4). Please install libgfortran6 in the AUR if you upgrade to GCC7.

I needed to install gsreamer0.10 from the aur to get image aquisition adapters working and so that matlab could see my webcam and video device on matlab2016b.

If someone else has trouble installing R2016b using the provided PKGBUILD, then they might find this modified PKGBUILD <https://gist.github.com/anonymous/dc16ef3218404a5e31dc69cfd5390898> useful. I had to provide the network licence file to get the build to proceed and update the list of libraries to be deleted at the end, as R2016b has been linked with gcc4.9. I have also changed optdepends to reflect that. I have further prefixed all matlab binaries other than matlab with matlab- in /usr/lib/. I won't be uploading my PKGBUILD as matlab-r2016b as I cannot be bothered to clean it up and maintain it. If you find it useful and can be bothered to make sure the dependencies are all declared, please go ahead and upload it to AUR once cleaned up.

gstreamer0.10-base is gone. can matlab work with an up-to-date gstreamer?

There's a pgp error, not sure how to solve it. guessing it's not a mitm on my side but just a different author. ==> Verifying source file signatures with gpg... ncurses-6.0-20161224.tgz ... FAILED (unknown public key 702353E0F7E48EDB) ==> ERROR: One or more PGP signatures could not be verified! The build failed. Dependencies for `matlab' are not met, not building...