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pynacl-feedstock's Introduction

About pynacl-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/pyca/pynacl

Package license: Apache-2.0

Summary: PyNaCl is a Python binding to the Networking and Cryptography library, a crypto library with the stated goal of improving usability, security and speed.

Development: https://github.com/pyca/pynacl

Documentation: https://pynacl.readthedocs.io/en/latest/

PyNaCl is a Python binding to the Networking and Cryptography library, a crypto library with the stated goal of improving usability, security and speed. It supports Python 2.7 and 3.3+ as well as PyPy 2.6+.

Current build status

Azure
VariantStatus
linux_64_python3.10.____cpython variant
linux_64_python3.11.____cpython variant
linux_64_python3.12.____cpython variant
linux_64_python3.8.____cpython variant
linux_64_python3.9.____73_pypy variant
linux_64_python3.9.____cpython variant
linux_aarch64_python3.10.____cpython variant
linux_aarch64_python3.11.____cpython variant
linux_aarch64_python3.12.____cpython variant
linux_aarch64_python3.8.____cpython variant
linux_aarch64_python3.9.____73_pypy variant
linux_aarch64_python3.9.____cpython variant
linux_ppc64le_python3.10.____cpython variant
linux_ppc64le_python3.11.____cpython variant
linux_ppc64le_python3.12.____cpython variant
linux_ppc64le_python3.8.____cpython variant
linux_ppc64le_python3.9.____73_pypy variant
linux_ppc64le_python3.9.____cpython variant
osx_64_python3.10.____cpython variant
osx_64_python3.11.____cpython variant
osx_64_python3.12.____cpython variant
osx_64_python3.8.____cpython variant
osx_64_python3.9.____73_pypy variant
osx_64_python3.9.____cpython variant
osx_arm64_python3.10.____cpython variant
osx_arm64_python3.11.____cpython variant
osx_arm64_python3.12.____cpython variant
osx_arm64_python3.8.____cpython variant
osx_arm64_python3.9.____cpython variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.8.____cpython variant
win_64_python3.9.____73_pypy variant
win_64_python3.9.____cpython variant

Current release info

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

Installing pynacl

Installing pynacl 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, pynacl can be installed with conda:

conda install pynacl

or with mamba:

mamba install pynacl

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

conda search pynacl --channel conda-forge

or with mamba:

mamba search pynacl --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

If you would like to improve the pynacl 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/pynacl-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

pynacl-feedstock's People

Contributors

beckermr avatar chrisburr avatar cj-wright avatar conda-forge-admin avatar conda-forge-curator[bot] avatar jjhelmus avatar mariusvniekerk avatar nehaljwani avatar regro-cf-autotick-bot avatar wolfv avatar xhochy avatar

Watchers

avatar avatar avatar avatar avatar

Forkers

conda-forge-admin cj-wright anacondarecipes regro-cf-autotick-bot mariusvniekerk conda-forge-linter teake tschoonj anaconda-community

pynacl-feedstock's Issues

1.3.0 clobbers a path

Issue: linux-64::pynacl-1.3.0-py38h516909a_1001 clobbers a path

The linux64 1001 build clobbers a path when installed in a Python 3.8 env. When executing

conda create -n testenv -c conda-forge pynacl

I get

[...]
ClobberError: This transaction has incompatible packages due to a shared path.
  packages: conda-forge/linux-64::python-3.8.3-cpython_he5300dc_0, conda-forge/linux-64::pynacl-1.3.0-py38h516909a_1001
  path: 'lib/python3.8/__pycache__/_sysconfigdata_x86_64_conda_cos6_linux_gnu.cpython-38.pyc'
If you'd like to proceed anyway, re-run the command with the `--clobber` flag.
.

The defaults 1.4.0 package (feedstock here) does not clobber a path.


Environment (conda list): 
$ conda list
# packages in environment at /opt/conda:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       0_gnu    conda-forge
beautifulsoup4            4.9.0            py37hc8dfbb8_0    conda-forge
brotlipy                  0.7.0           py37h8f50634_1000    conda-forge
bzip2                     1.0.8                h516909a_2    conda-forge
ca-certificates           2020.4.5.1           hecc5488_0    conda-forge
certifi                   2020.4.5.1       py37hc8dfbb8_0    conda-forge
cffi                      1.14.0           py37hd463f26_0    conda-forge
chardet                   3.0.4           py37hc8dfbb8_1006    conda-forge
click                     7.1.2              pyh9f0ad1d_0    conda-forge
conda                     4.8.3            py37hc8dfbb8_1    conda-forge
conda-build               3.19.2           py37hc8dfbb8_0    conda-forge
conda-package-handling    1.6.0            py37h8f50634_2    conda-forge
conda-verify              3.1.1           py37hc8dfbb8_1001    conda-forge
coverage                  5.1              py37h8f50634_0    conda-forge
coverage-fixpaths         1.0.2                      py_0    conda-forge
cryptography              2.9.2            py37hb09aad4_0    conda-forge
filelock                  3.0.10                     py_0    conda-forge
future                    0.18.2           py37hc8dfbb8_1    conda-forge
glob2                     0.7                        py_0    conda-forge
icu                       64.2                 he1b5a44_1    conda-forge
idna                      2.9                        py_1    conda-forge
jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
ld_impl_linux-64          2.34                 h53a641e_0    conda-forge
libarchive                3.3.3             h3a8160c_1008    conda-forge
libffi                    3.2.1             he1b5a44_1007    conda-forge
libgcc-ng                 9.2.0                h24d8f2e_2    conda-forge
libgomp                   9.2.0                h24d8f2e_2    conda-forge
libiconv                  1.15              h516909a_1006    conda-forge
liblief                   0.9.0                hf8a498c_1    conda-forge
libstdcxx-ng              9.2.0                hdf63c60_2    conda-forge
libxml2                   2.9.10               hee79883_0    conda-forge
lz4-c                     1.9.2                he1b5a44_0    conda-forge
lzo                       2.10              h14c3975_1000    conda-forge
markupsafe                1.1.1            py37h8f50634_1    conda-forge
ncurses                   6.1               hf484d3e_1002    conda-forge
openssl                   1.1.1g               h516909a_0    conda-forge
patchelf                  0.10                 he1b5a44_0    conda-forge
pip                       20.1               pyh9f0ad1d_0    conda-forge
pkginfo                   1.5.0.1                    py_0    conda-forge
psutil                    5.7.0            py37h8f50634_1    conda-forge
py-lief                   0.9.0            py37he1b5a44_1    conda-forge
pycosat                   0.6.3           py37h8f50634_1004    conda-forge
pycparser                 2.20                       py_0    conda-forge
pyopenssl                 19.1.0                     py_1    conda-forge
pysocks                   1.7.1            py37hc8dfbb8_1    conda-forge
python                    3.7.6           h8356626_5_cpython    conda-forge
python-libarchive-c       2.9                      py37_0    conda-forge
python_abi                3.7                     1_cp37m    conda-forge
pytz                      2020.1             pyh9f0ad1d_0    conda-forge
pyyaml                    5.3.1            py37h8f50634_0    conda-forge
readline                  8.0                  hf8c457e_0    conda-forge
requests                  2.23.0             pyh8c360ce_2    conda-forge
ripgrep                   12.0.1               h516909a_1    conda-forge
ruamel_yaml               0.15.80         py37h8f50634_1001    conda-forge
setuptools                46.1.3           py37hc8dfbb8_0    conda-forge
six                       1.14.0                     py_1    conda-forge
soupsieve                 1.9.4            py37hc8dfbb8_1    conda-forge
sqlite                    3.30.1               hcee41ef_0    conda-forge
tk                        8.6.10               hed695b0_0    conda-forge
tqdm                      4.45.0             pyh9f0ad1d_1    conda-forge
urllib3                   1.25.9                     py_0    conda-forge
wheel                     0.34.2                     py_1    conda-forge
xz                        5.2.5                h516909a_0    conda-forge
yaml                      0.2.4                h516909a_0    conda-forge
zlib                      1.2.11            h516909a_1006    conda-forge
zstd                      1.4.4                h6597ccf_3    conda-forge

Details about conda and system ( conda info ): 
$ conda info

     active environment : base
    active env location : /opt/conda
            shell level : 1
       user config file : /root/.condarc
 populated config files : /root/.condarc
          conda version : 4.8.3
    conda-build version : 3.19.2
         python version : 3.7.6.final.0
       virtual packages : __glibc=2.17
       base environment : /opt/conda  (writable)
           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
                          /root/.conda/pkgs
       envs directories : /opt/conda/envs
                          /root/.conda/envs
               platform : linux-64
             user-agent : conda/4.8.3 requests/2.23.0 CPython/3.7.6 Linux/4.19.76-linuxkit centos/7.8.2003 glibc/2.17
                UID:GID : 0:0
             netrc file : None
           offline mode : False

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