home:lalala123:ARM_architecture

https://download.opensuse.org/repositories/home:/lalala123:/ARM_architecture/ARM/ openSUSE:Factory:ARM

openSUSE Factory ARM

This is a project clone to build entire openSUSE:Factory for the ARM architecture. https://download.opensuse.org/repositories/openSUSE:/Factory:/ARM/standard/ openSUSE:Factory

The next openSUSE distribution

openSUSE Tumbleweed: The Bleeding Edge, Perfected. Tumbleweed is the ultimate rolling release distribution, providing the latest software as it’s released, built upon a foundation of world-class stability and testing. * Always Current: Get the newest kernel, IDEs, desktops, and applications automatically. * Powerfully Stable: Experience the velocity of a rolling release without sacrificing the reliability you depend on. * Engineered for Professionals: The top choice for Developers, Power Users, and openSUSE Contributors who need the best tools for the job. If you demand the latest stable software, your choice is Tumbleweed. Staging dashboard is located at: https://build.opensuse.org/staging_workflows/openSUSE:Factory List of known devel projects: https://build.opensuse.org/package/view_file/openSUSE:Factory:Staging/dashboard/devel_projects Have a look at http://en.opensuse.org/Portal:Factory for more details. https://download.opensuse.org/repositories/openSUSE:/Factory/ports/ python-pytest-xdist

Distributed testing and loop-on-failing for py.test

The `pytest-xdist`_ plugin extends py.test with some unique test execution modes: * test run parallelization_: if you have multiple CPUs or hosts you can use those for a combined test run. This allows to speed up development or to use special resources of `remote machines`_. * ``--boxed``: (not available on Windows) run each test in a boxed_ subprocess to survive ``SEGFAULTS`` or otherwise dying processes * ``--looponfail``: run your tests repeatedly in a subprocess. After each run py.test waits until a file in your project changes and then re-runs the previously failing tests. This is repeated until all tests pass after which again a full run is performed. * `Multi-Platform`_ coverage: you can specify different Python interpreters or different platforms and run tests in parallel on all of them. Before running tests remotely, ``py.test`` efficiently "rsyncs" your program source code to the remote place. All test results are reported back and displayed to your local terminal. You may specify different Python versions and interpreters.