conda-forge / sdl2_image-feedstock

A conda-smithy repository for sdl2_image.

About sdl2_image-feedstock

Feedstock license: BSD-3-Clause

Home: https://www.libsdl.org/projects/SDL_image/

Package license: Zlib

Summary: Library for loading images as SDL surfaces and textures

Development: https://github.com/libsdl-org/SDL_image

Documentation: https://wiki.libsdl.org/SDL_image

Simple DirectMedia Layer is a cross-platform development library designed to provide low level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D.

Current build status

Azure

Variant Status linux_64 linux_aarch64 linux_ppc64le osx_64 osx_arm64 win_64

Current release info

Name	Downloads	Version	Platforms

Installing sdl2_image

Installing sdl2_image 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, sdl2_image can be installed with conda:

conda install sdl2_image

or with mamba:

mamba install sdl2_image

It is possible to list all of the versions of sdl2_image available on your platform with conda:

conda search sdl2_image --channel conda-forge

or with mamba:

mamba search sdl2_image --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search sdl2_image --channel conda-forge

# List packages depending on `sdl2_image`:
mamba repoquery whoneeds sdl2_image --channel conda-forge

# List dependencies of `sdl2_image`:
mamba repoquery depends sdl2_image --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 sdl2_image-feedstock

If you would like to improve the sdl2_image 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/sdl2_image-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
• @h-vetinari

sdl2_image-feedstock's Issues

SVG and XCF support missing from Windows binaries

• I read the conda-forge documentation and could not find the solution for my problem there.

Issue:

In adding unit tests back to the CI for the PySDL2 conda feedstock, I noticed some unexpected test failures for the Windows binaries. Specifically, all the tests related to XCF or SVG identification/import failed despite working fine with the Linux/macOS runners:

______________________ TestSDLImage.test_IMG_LoadSVG_RW _______________________

self = <sdl2.test.sdlimage_test.TestSDLImage object at 0x000002589C77CD60>

    @pytest.mark.skipif(sdlimage.dll.version < 2002, reason="Added in 2.0.2")
    def test_IMG_LoadSVG_RW(self):
        fp = open(_get_image_path("svg"), "rb")
        sf = sdlimage.IMG_LoadSVG_RW(rwops.rw_from_object(fp))
        fp.close()
>       assert isinstance(sf.contents, surface.SDL_Surface)
E       ValueError: NULL pointer access

fp         = <_io.BufferedReader name='D:\\bld\\pysdl2_1642551982139\\_test_env\\lib\\site-packages\\sdl2\\test\\resources\\surfacetest.svg'>
self       = <sdl2.test.sdlimage_test.TestSDLImage object at 0x000002589C77CD60>
sf         = <sdl2.surface.LP_SDL_Surface object at 0x000002589CBEE8C0>

..\_test_env\lib\site-packages\sdl2\test\sdlimage_test.py:261: ValueError
______________________ TestSDLImage.test_IMG_LoadXCF_RW _______________________

self = <sdl2.test.sdlimage_test.TestSDLImage object at 0x000002589D202850>

    @pytest.mark.xfail(is32bit or ismacos, reason="XCF currently broken on 32-bit and macOS")
    def test_IMG_LoadXCF_RW(self):
        fp = open(_get_image_path("xcf"), "rb")
        sf = sdlimage.IMG_LoadXCF_RW(rwops.rw_from_object(fp))
        fp.close()
>       assert isinstance(sf.contents, surface.SDL_Surface)
E       ValueError: NULL pointer access

self       = <sdl2.test.sdlimage_test.TestSDLImage object at 0x000002589D202850>
sf         = <sdl2.surface.LP_SDL_Surface object at 0x000002589CBF80C0>

..\_test_env\lib\site-packages\sdl2\test\sdlimage_test.py:291: ValueError

Looking at the build setup here, it looks like this is because the XCF and SVG formats were never added to this section of the CMake build file:

sdl2_image-feedstock/recipe/CMakeLists.txt

Lines 50 to 57 in d4d283e

	set(SDLIMAGE_SUPPORT_BMP ON CACHE BOOL "Support for BMP file format")
	set(SDLIMAGE_SUPPORT_GIF ON CACHE BOOL "Support for GIF file format")
	set(SDLIMAGE_SUPPORT_LBM ON CACHE BOOL "Support for LBM file format")
	set(SDLIMAGE_SUPPORT_PCX ON CACHE BOOL "Support for PCX file format")
	set(SDLIMAGE_SUPPORT_PNM ON CACHE BOOL "Support for PNM file format")
	set(SDLIMAGE_SUPPORT_TGA ON CACHE BOOL "Support for TGA file format")
	set(SDLIMAGE_SUPPORT_XPM ON CACHE BOOL "Support for XPM file format")
	set(SDLIMAGE_SUPPORT_XV ON CACHE BOOL "Support for XV file format")

Neither format has any external dependencies, so adding:

set(SDLIMAGE_SUPPORT_SVG ON CACHE BOOL "Support for SVG file format")
set(SDLIMAGE_SUPPORT_XCF ON CACHE BOOL "Support for XCF file format")

...

if(SDLIMAGE_SUPPORT_SVG)
  add_definitions(-DLOAD_SVG)
endif()
if(SDLIMAGE_SUPPORT_XCF)
  add_definitions(-DLOAD_XCF)
endif()

to the file should fix it!

Cheers,

Austin

Update to libavif 0.11.1

Additional comment:

@conda-forge-admin please rerender