conda-forge / pysdl2-feedstock

A conda-smithy repository for pysdl2.

About pysdl2-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/marcusva/py-sdl2

Package license: CC0-1.0

Summary: A wrapper around the SDL2 library

Development: https://bitbucket.org/marcusva/py-sdl2

Documentation: https://pysdl2.readthedocs.io

PySDL2 is a wrapper around the SDL2 library and as such similar to the discontinued PySDL project. In contrast to PySDL, it has no licensing restrictions, nor does it rely on C code, but uses ctypes instead.

Current build status

Azure

Variant Status linux_64_numpy1.22python3.10.____cpythonpython_implcpython linux_64_numpy1.22python3.8.____cpythonpython_implcpython linux_64_numpy1.22python3.9.____73_pypypython_implpypy linux_64_numpy1.22python3.9.____cpythonpython_implcpython linux_64_numpy1.23python3.11.____cpythonpython_implcpython osx_64_numpy1.22python3.10.____cpythonpython_implcpython osx_64_numpy1.22python3.8.____cpythonpython_implcpython osx_64_numpy1.22python3.9.____73_pypypython_implpypy osx_64_numpy1.22python3.9.____cpythonpython_implcpython osx_64_numpy1.23python3.11.____cpythonpython_implcpython osx_arm64_numpy1.22python3.10.____cpython osx_arm64_numpy1.22python3.8.____cpython osx_arm64_numpy1.22python3.9.____cpython osx_arm64_numpy1.23python3.11.____cpython win_64_numpy1.22python3.10.____cpythonpython_implcpython win_64_numpy1.22python3.8.____cpythonpython_implcpython win_64_numpy1.22python3.9.____73_pypypython_implpypy win_64_numpy1.22python3.9.____cpythonpython_implcpython win_64_numpy1.23python3.11.____cpythonpython_implcpython

Current release info

Name	Downloads	Version	Platforms

Installing pysdl2

Installing pysdl2 from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, pysdl2 can be installed with conda:

conda install pysdl2

or with mamba:

mamba install pysdl2

It is possible to list all of the versions of pysdl2 available on your platform with conda:

conda search pysdl2 --channel conda-forge

or with mamba:

mamba search pysdl2 --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search pysdl2 --channel conda-forge

# List packages depending on `pysdl2`:
mamba repoquery whoneeds pysdl2 --channel conda-forge

# List dependencies of `pysdl2`:
mamba repoquery depends pysdl2 --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating pysdl2-feedstock

If you would like to improve the pysdl2 recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/pysdl2-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @a-hurst
• @dschreij

pysdl2-feedstock's Issues

Upgrade to PySDL2 0.9.6 for Python 3.6 support

I've been using 0.9.6 directly from PyPI, specifically for its Python 3.6 support. It would be nice if this recipe was updated to reflect that. As far as I can tell, it should just be a matter of updating the PyPI URL and MD5 hash. I don't have experience building things directly from Conda recipes, but if you'd prefer, I can try to make this change myself and send a PR.

sdl2path.patch causing CIs to fail: can I help?

Hi there,

I'm the current maintainer of the PySDL2 project and just noticed that it's also got its own Conda package. I had no idea!

However, I just look a look at the automatic PRs to update to the latest PySDl2 release and noticed they're failing: apparently I changed something upstream, and now your patch to make PySDL2 use Conda's SDL2 is broken. Is there anything I can do on my end to help? Ideally I'd be able to tweak things upstream so the next release is properly Conda-compatible without any patches. All I'd need to understand is where Conda stores the SDL2 binaries, and whether there's a reliable programmatic way to get that path.

Cheers,

• Austin

SDLError: b'No available video device' on init

Issue:

pysdl2 breaks with latest sdl2 (2.0.9) in the following way (but works with 2.0.8):

$ conda create -n sdl2 pysdl2
$ conda activate sdl2
$ python

>>> import sdl2.ext
>>> sdl2.ext.init()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/kai/miniconda/envs/sdl2/lib/python3.7/site-packages/sdl2/ext/common.py", line 44, in init
    raise SDLError()
sdl2.ext.common.SDLError: b'No available video device'

Environment (conda list):

$ conda list
# packages in environment at /home/kai/miniconda/envs/sdl2:
#
# Name                    Version                   Build  Channel
bzip2                     1.0.6             h14c3975_1002    conda-forge
ca-certificates           2019.3.9             hecc5488_0    conda-forge
certifi                   2019.3.9                 py37_0    conda-forge
libffi                    3.2.1             he1b5a44_1006    conda-forge
libgcc-ng                 8.2.0                hdf63c60_1    defaults
libstdcxx-ng              8.2.0                hdf63c60_1    defaults
libxcb                    1.13              h14c3975_1002    conda-forge
ncurses                   6.1               hf484d3e_1002    conda-forge
openssl                   1.1.1b               h14c3975_1    conda-forge
pip                       19.1                     py37_0    conda-forge
pthread-stubs             0.4               h14c3975_1001    conda-forge
pysdl2                    0.9.6                 py37_1002    conda-forge
python                    3.7.3                h5b0a415_0    conda-forge
readline                  7.0               hf8c457e_1001    conda-forge
sdl2                      2.0.9                he1b5a44_1    conda-forge
setuptools                41.0.1                   py37_0    conda-forge
sqlite                    3.26.0            h67949de_1001    conda-forge
tk                        8.6.9             h84994c4_1001    conda-forge
wheel                     0.33.1                   py37_0    conda-forge
xorg-kbproto              1.0.7             h14c3975_1002    conda-forge
xorg-libx11               1.6.7             h14c3975_1000    conda-forge
xorg-libxau               1.0.9                h14c3975_0    conda-forge
xorg-libxdmcp             1.1.3                h516909a_0    conda-forge
xorg-libxext              1.3.4                h516909a_0    conda-forge
xorg-xextproto            7.3.0             h14c3975_1002    conda-forge
xorg-xproto               7.0.31            h14c3975_1007    conda-forge
xz                        5.2.4             h14c3975_1001    conda-forge
zlib                      1.2.11            h14c3975_1004    conda-forge

Details about conda and system ( conda info ):

$ conda info

XRef: conda-forge/sdl2-feedstock#13
XRef2: vispy/vispy#1634

ping: @djhoese @larsoner