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_openmp_mutex-feedstock's Introduction

About _openmp_mutex

Home: https://github.com/conda-forge/openmp-feedstock

Package license: BSD-3-Clause

Feedstock license: BSD-3-Clause

Summary: OpenMP Implementation Mutex

Current build status

Travis linux
Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
linux_ppc64le variant

Current release info

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

Installing _openmp_mutex

Installing _openmp_mutex 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, _openmp_mutex can be installed with conda:

conda install _openmp_mutex

or with mamba:

mamba install _openmp_mutex

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

conda search _openmp_mutex --channel conda-forge

or with mamba:

mamba search _openmp_mutex --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

If you would like to improve the _openmp_mutex 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/_openmp_mutex-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

_openmp_mutex-feedstock's People

Contributors

beckermr avatar conda-forge-admin avatar conda-forge-curator[bot] avatar isuruf avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

_openmp_mutex-feedstock's Issues

Take into account intel-openmp for mutex?

I was wondering if intel-openmp (from here) also should be handled by this mutex?

A while ago, I got the following clobber-warning:

ClobberWarning: This transaction has incompatible packages due to a shared path.
  packages: conda-forge/win-64::intel-openmp-2020.3-h57928b3_311, conda-forge/win-64::llvm-openmp-11.0.0-h74a9793_1
  path: 'library/bin/libiomp5md.dll'

I then removed llvm-openmp for windows, but that drops the openmp-compliance in windows from 4.5 to 2.0, and I don't know how severe the performance impact of that is.

Unable to build the recipe

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

I encounter the following error while building the recipe:

BUILD START: ['_openmp_mutex-4.5-1_llvm.tar.bz2']
_openmp_mutex cannot depend on itself

The problem is not seen if I use llvm-openmp v12.0.1 at https://github.com/conda-forge/_openmp_mutex-feedstock/blob/main/recipe/meta.yaml#L31 and https://github.com/conda-forge/_openmp_mutex-feedstock/blob/main/recipe/meta.yaml#L33. However, with newer versions the build fails.

Installed packages

conda list
# packages in environment at /opt/conda:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main
_openmp_mutex             4.5                       1_gnu
beautifulsoup4            4.10.0             pyh06a4308_0
brotlipy                  0.7.0           py39h27cfd23_1003
bzip2                     1.0.8                h7b6447c_0
c-ares                    1.18.1               h7f8727e_0
ca-certificates           2022.2.1             h06a4308_0
certifi                   2021.10.8        py39h06a4308_2
cffi                      1.15.0           py39hd667e15_1
chardet                   4.0.0           py39h06a4308_1003
charset-normalizer        2.0.4              pyhd3eb1b0_0
conda                     4.11.0           py39h06a4308_0
conda-build               3.21.7           py39h06a4308_0
conda-content-trust       0.1.1              pyhd3eb1b0_0
conda-package-handling    1.7.3            py39h27cfd23_1
cryptography              36.0.0           py39h9ce1e76_0
curl                      7.80.0               h7f8727e_0
expat                     2.4.4                h295c915_0
filelock                  3.4.2              pyhd3eb1b0_0
gettext                   0.21.0               hf68c758_0
git                       2.34.1          pl5262hc120c5b_0
glob2                     0.7                pyhd3eb1b0_0
icu                       58.2                 he6710b0_3
idna                      3.3                pyhd3eb1b0_0
jinja2                    2.11.3             pyhd3eb1b0_0
junit-xml                 1.9                        py_0
krb5                      1.19.2               hac12032_0
ld_impl_linux-64          2.35.1               h7274673_9
libarchive                3.4.2                h62408e4_0
libcurl                   7.80.0               h0b77cf5_0
libedit                   3.1.20210910         h7f8727e_0
libev                     4.33                 h7f8727e_1
libffi                    3.3                  he6710b0_2
libgcc-ng                 9.3.0               h5101ec6_17
libgomp                   9.3.0               h5101ec6_17
liblief                   0.10.1               h2531618_1
libnghttp2                1.46.0               hce63b2e_0
libssh2                   1.9.0                h1ba5d50_1
libstdcxx-ng              9.3.0               hd4cf53a_17
libxml2                   2.9.12               h03d6c58_0
lz4-c                     1.9.3                h295c915_1
markupsafe                2.0.1            py39h27cfd23_0
ncurses                   6.3                  h7f8727e_2
networkx                  2.6.3              pyhd3eb1b0_0
openssl                   1.1.1m               h7f8727e_0
patch                     2.7.6             h7b6447c_1001
patchelf                  0.13                 h295c915_0
pcre2                     10.37                he7ceb23_1
perl                      5.26.2               h14c3975_0
pip                       21.2.4           py39h06a4308_0
pkginfo                   1.8.2              pyhd3eb1b0_0
psutil                    5.8.0            py39h27cfd23_1
py-lief                   0.10.1           py39h2531618_1
pycosat                   0.6.3            py39h27cfd23_0
pycparser                 2.21               pyhd3eb1b0_0
pyopenssl                 21.0.0             pyhd3eb1b0_1
pysocks                   1.7.1            py39h06a4308_0
python                    3.9.7                h12debd9_1
python-libarchive-c       2.9                pyhd3eb1b0_1
pytz                      2021.3             pyhd3eb1b0_0
pyyaml                    6.0              py39h7f8727e_1
readline                  8.1.2                h7f8727e_1
requests                  2.27.1             pyhd3eb1b0_0
ripgrep                   12.1.1                        0
ruamel_yaml               0.15.100         py39h27cfd23_0
setuptools                58.0.4           py39h06a4308_0
six                       1.16.0             pyhd3eb1b0_0
soupsieve                 2.3.1              pyhd3eb1b0_0
sqlite                    3.37.0               hc218d9a_0
tk                        8.6.11               h1ccaba5_0
tqdm                      4.62.3             pyhd3eb1b0_1
tzdata                    2021e                hda174b7_0
urllib3                   1.26.7             pyhd3eb1b0_0
wheel                     0.37.1             pyhd3eb1b0_0
xz                        5.2.5                h7b6447c_0
yaml                      0.2.5                h7b6447c_0
zlib                      1.2.11               h7f8727e_4
zstd                      1.4.9                haebb681_0

Environment info

active environment : base
    active env location : /opt/conda
            shell level : 1
       user config file : /root/.condarc
 populated config files : /opt/conda/.condarc
          conda version : 4.11.0
    conda-build version : 3.21.7
         python version : 3.9.7.final.0
       virtual packages : __cuda=11.2=0
                          __linux=3.10.0=0
                          __glibc=2.28=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /opt/conda  (writable)
      conda av data dir : /opt/conda/etc/conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /opt/conda/pkgs
       envs directories : /opt/conda/envs
                          /root/.conda/envs
               platform : linux-64
             user-agent : conda/4.11.0 requests/2.27.1 CPython/3.9.7 Linux/3.10.0-1160.15.2.el7.x86_64 rhel/8.4 glibc/2.28
                UID:GID : 0:0
             netrc file : None
           offline mode : False

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