conda-forge / xorg-libxdmcp-feedstock

A conda-smithy repository for xorg-libxdmcp.

About xorg-libxdmcp

Home: https://www.x.org/

Package license: MIT

Feedstock license: BSD-3-Clause

Summary: The X-windows display manager client protocol library.

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 xorg-libxdmcp

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

conda config --add channels conda-forge

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

conda install xorg-libxdmcp

It is possible to list all of the versions of xorg-libxdmcp available on your platform with:

conda search xorg-libxdmcp --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 CircleCI, AppVeyor 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 xorg-libxdmcp-feedstock

If you would like to improve the xorg-libxdmcp 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/xorg-libxdmcp-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

• @pkgw

xorg-libxdmcp-feedstock's Issues

Checksum Mismatch Main Channel

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

ChecksumMismatchError: Conda detected a mismatch between the expected content and downloaded content
for url 'https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2'.
download saved to: x:\xxx\Miniconda3\v3_8_5_x64\Local\pkgs\xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2
expected sha256: f51205d33c07d744ec177243e5d9b874002910c731954f2c8da82459be462b93
actual sha256: e1bb8043d4dd8371f3d3e51dc1743da344ccae56f2619ff25ca589bfceb3598c (main channel)

Installed packages

# packages in environment at C:\Apps\Miniconda3\v3_8_5_x64\Local\envs\py:
#
# Name                    Version                   Build  Channel
bzip2                     1.0.8                hcfcfb64_5    conda-forge
ca-certificates           2024.2.2             h56e8100_0    conda-forge
libexpat                  2.6.1                h63175ca_0    conda-forge
libffi                    3.4.2                h8ffe710_5    conda-forge
libsqlite                 3.45.1               hcfcfb64_0    conda-forge
libzlib                   1.2.13               hcfcfb64_5    conda-forge
m2w64-gcc-libgfortran     5.3.0                         6    conda-forge
m2w64-gcc-libs            5.3.0                         7    conda-forge
m2w64-gcc-libs-core       5.3.0                         7    conda-forge
m2w64-gmp                 6.1.0                         2    conda-forge
m2w64-libwinpthread-git   5.0.0.4634.697f757               2    conda-forge
msys2-conda-epoch         20160418                      1    conda-forge
openssl                   3.2.1                hcfcfb64_0    conda-forge
pip                       24.0               pyhd8ed1ab_0    conda-forge
python                    3.12.2          h2628c8c_0_cpython    conda-forge
setuptools                69.1.1             pyhd8ed1ab_0    conda-forge
tk                        8.6.13               h5226925_1    conda-forge
tzdata                    2024a                h0c530f3_0    conda-forge
ucrt                      10.0.22621.0         h57928b3_0    conda-forge
vc                        14.3                hcf57466_18    conda-forge
vc14_runtime              14.38.33130         h82b7239_18    conda-forge
vs2015_runtime            14.38.33130         hcb4865c_18    conda-forge
wheel                     0.42.0             pyhd8ed1ab_0    conda-forge
xorg-libxdmcp             1.1.3                h301d43c_0    conda-forge/label/cf202003
xz                        5.2.6                h8d14728_0    conda-forge

Environment info

active environment : py
    active env location : x:\xxx\Miniconda3\v3_8_5_x64\Local\envs\py
            shell level : 2
       user config file : x:\xxx\.condarc
 populated config files : x:\xxx\Miniconda3\v3_8_5_x64\Local\.condarc
                          x:\xxx\.condarc
          conda version : 4.9.2
    conda-build version : not installed
         python version : 3.8.5.final.0
       virtual packages : __win=0=0
                          __archspec=1=x86_64
       base environment : C:\Apps\Miniconda3\v3_8_5_x64\Local  (writable)
           channel URLs : https://conda.anaconda.org/cantera/win-64
                          https://conda.anaconda.org/cantera/noarch
                          https://conda.anaconda.org/conda-forge/win-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.cloud/t/<TOKEN>/repo/main/win-64
                          https://repo.anaconda.cloud/t/<TOKEN>/repo/main/noarch
                          https://repo.anaconda.cloud/t/<TOKEN>/repo/msys2/win-64
                          https://repo.anaconda.cloud/t/<TOKEN>/repo/msys2/noarch
          package cache : x:\xxx\Miniconda3\v3_8_5_x64\Local\pkgs
                          x:\xxx\.conda\pkgs
                          x:\xxx\AppData\Local\conda\conda\pkgs
       envs directories : x:\xxx\Miniconda3\v3_8_5_x64\Local\envs
                          x:\xxx\.conda\envs
                          x:\xxx\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.9.2 requests/2.25.1 CPython/3.8.5 Windows/10 Windows/10.0.19041
          administrator : True
             netrc file : None
           offline mode : False