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zimg-feedstock's Introduction

About zimg-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/sekrit-twc/zimg

Package license: WTFPL

Summary: Scaling, colorspace conversion, and dithering library

Development: https://github.com/sekrit-twc/zimg

The "z" library implements the commonly required image processing basics of scaling, colorspace conversion, and depth conversion. A simple API enables conversion between any supported formats to operate with minimal knowledge from the programmer. All library routines were designed from the ground-up with correctness, flexibility, and thread-safety as first priorities. Allocation, buffering, and I/O are cleanly separated from processing, allowing the programmer to adapt "z" to many scenarios.

Current build status

Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
linux_ppc64le variant
osx_64 variant
osx_arm64 variant
win_64 variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing zimg

Installing zimg 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, zimg can be installed with conda:

conda install zimg

or with mamba:

mamba install zimg

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

conda search zimg --channel conda-forge

or with mamba:

mamba search zimg --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

About conda-forge

Powered by NumFOCUS

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-Cloud 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 zimg-feedstock

If you would like to improve the zimg 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/zimg-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

zimg-feedstock's People

Contributors

conda-forge-admin avatar conda-forge-curator[bot] avatar regro-cf-autotick-bot avatar sshockwave avatar tongyuantongyu avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

zimg-feedstock's Issues

`zimg.lib` in Windows build contains wrong DLL name

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

The generated z_imp.lib contains the DLL name z.dll in its content, so the renaming here

mv %OUTPUT_DIR%\z.dll %LIBRARY_BIN%\zimg.dll
mv %OUTPUT_DIR%\z_imp.lib %LIBRARY_LIB%\zimg.lib
does not help, and executables compiled with zimg.lib still links to z.dll and will fail to load the library.

The easiest fix is changing the first line of zimg.def to LIBRARY zimg, and run LIB /machine:x64 /def:zimg.def to regenerate a zimg.lib that refers to zimg.dll.

Installed packages

# Name                    Version                   Build  Channel
bzip2                     1.0.8                h8ffe710_4    conda-forge
ca-certificates           2022.12.7            h5b45459_0    conda-forge
cython                    0.29.33         py311h12c1d0e_0    conda-forge
libffi                    3.4.2                h8ffe710_5    conda-forge
libsqlite                 3.40.0               hcfcfb64_0    conda-forge
libzlib                   1.2.13               hcfcfb64_4    conda-forge
openssl                   3.0.7                hcfcfb64_2    conda-forge
pip                       23.0               pyhd8ed1ab_0    conda-forge
python                    3.11.0          hcf16a7b_0_cpython    conda-forge
python_abi                3.11                    3_cp311    conda-forge
setuptools                66.1.1             pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h8ffe710_0    conda-forge
tzdata                    2022g                h191b570_0    conda-forge
ucrt                      10.0.22621.0         h57928b3_0    conda-forge
vc                        14.3                hb6edc58_10    conda-forge
vs2015_runtime            14.34.31931         h4c5c07a_10    conda-forge
wheel                     0.38.4             pyhd8ed1ab_0    conda-forge
xz                        5.2.6                h8d14728_0    conda-forge
zimg                      3.0.4                h2d88dce_3    conda-forge

Environment info

shell level : 1
       user config file : C:\Users\TYTY\.condarc
 populated config files : C:\Python\.condarc
                          C:\Users\TYTY\.condarc
          conda version : 22.11.1
    conda-build version : 3.23.3
         python version : 3.11.0.final.0
       virtual packages : __archspec=1=x86_64
                          __cuda=12.0=0
                          __win=0=0
       base environment : C:\Python  (writable)
      conda av data dir : C:\Python\etc\conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/win-64
                          https://conda.anaconda.org/conda-forge/noarch
          package cache : C:\PyEnv\pkgs
       envs directories : C:\PyEnv\envs
                          C:\Python\envs
                          C:\Users\TYTY\.conda\envs
                          C:\Users\TYTY\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/22.11.1 requests/2.28.2 CPython/3.11.0 Windows/10 Windows/10.0.22621
          administrator : False
             netrc file : None
           offline mode : False

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