With 7.4.2, you can set COVERAGE_CORE=sysmon globally on your CI, and it'll only use it where available (Python 3.12 and 3.13 alpha), and use the default for 3.11 and older.
This means no new features are allowed in and it's now time to start testing your code. You might find things in your code to fix, or even better, you might find things to fix in Python itself!
The second and final Python 3.12 release candidate is out! 🎉
🚨 This means we have under a month before the big release on 2023-10-02 to test our packages and get them ready. And we might help iron out last-minute bugs in Python itself!
If you have experience maintaining a GitLab CI runner on macOS, and you wish to contribute to building and testing GLib and GTK on macOS, please join the GNOME Infrastructure channel to help maintaining the macOS server provided by the GNOME Foundation, otherwise we will have to retire it. More details on Discourse: https://discourse.gnome.org/t/potential-retirement-of-the-macos-ci-builder-for-glib-and-gtk/16198
Now that @github Actions supports macOS M1 runners, we've added them to the CPython CI, and have finally promoted aarch64-apple-darwin to the top support tier!
This means CI failures block releases, cannot be merged to main or must be fixed or reverted immediately, and the whole core dev team is responsible rather than one or two.
Using the Drush Behat Params library, you can quickly and easily configure Behat for Drupal testing. This library provides a drush command wrapper for 'bin/behat' with BEHAT_PARAMS already set, eliminating the need to specify the URL, path to code, and drush alias each time you run Behat.
Am Dienstag, 12. Februar, geht es um 19 Uhr um das Thema #TYPO3 Projektübernahmen und -updates. @danielsiepmann zeigt uns, wie eine Übernahme gelingt und wie man das Projekt anschließend aktualisiert. Dabei gehts dann auch um Themen wie #CI, Linting, Testing mit @phpunit und Tools wie @phpstan oder #Rector.
Je cherche à faire une validation W3C automatisée pour le boulot. Appeler l'API du validateur W3C n'est pas possible, nous avons une authentification. Compiler le site en fichiers html pour html-validate ou autre semble hors de portée (c'est un site en React)(patapé). Donc je me tourne vers Selenium : et à partir de là, je ne sais pas comment valider…
I've made a new #workflow which is tagging and releasing #cd built images automatically too. I can't wait for @nlnetlabs releasing a new #unbound version to watch the #magic. Or to watch it fail.
In my dev-env it works like a charm, though.
I don't want to seem arrogant but I guess this is one of the most feature-rich, secure and advanced image around. And always made with ❤️.
This is quite cool! If I understand correctly this is a custom #GitLab#CI runner that in addition to running your pipeline as expected gives you automated power reading of the execution so you can track regressions in power usage and make your #software more sustainable!
#BetterKernelIntegration: Following our blog post from earlier this month, we have now submitted a patch to introduce kci-gitlab, a GitLab-CI pipeline for kernel testing! More here: http://col.la/kcigl
Mam karte #CI do tv, od #Polsat.box #Czy jest sposób na podłączenie jej do laptopu? W tv jest miejsce, gdzie trzeba ją włożyć, ale na laptopie nie. Może się nie da? #pytanie#pomoc
The @thoughtworks#TechRadar for April 2024 is worth a read - covers the movement away from #OpenSource licenses (the @osi gets a mention for their stewardship of licenses to date, and flags challenges), the rise of #AI code generation and the impacts on #CI and #CD workflows (AI code generators change workflow patterns), and #architectures for #LLM creation - we're seeing distinct patterns emerge through #RAG.
I've always enjoyed the Tech Radar format - it simplifies the complexity of a fast-changing landscape and makes it tractable for decision makers.
debugging tests that fail only in #gitlab#ci is the worst... #sourcehut absolutely has it right by allowing you to SSH into a runner that failed a job.
Continuing our #EverythingOpen Schedule Highlights, we present Faisal Masood of #AWS who will talk about the #ML life-cycle of #data preparation, model #training, testing and deployment, and the role that #automation and #monitoring tools play.
Faisal shows you how to build a model workflow where all team members can collaborate to create a #CI and delivery pipeline for ML models.