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|
%global _empty_manifest_terminate_build 0
Name: python-datalad-container
Version: 1.2.1
Release: 1
Summary: DataLad extension package for working with containerized environments
License: MIT
URL: https://github.com/datalad/datalad-container
Source0: https://mirrors.aliyun.com/pypi/web/packages/41/2a/2100036576154281057fb6e68f925a09b169456b030f4b6d963a94e3fbc4/datalad_container-1.2.1.tar.gz
BuildArch: noarch
Requires: python3-datalad
Requires: python3-requests
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-coverage
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
%description
____ _ _ _
| _ \ __ _ | |_ __ _ | | __ _ __| |
| | | | / _` || __| / _` || | / _` | / _` |
| |_| || (_| || |_ | (_| || |___ | (_| || (_| |
|____/ \__,_| \__| \__,_||_____| \__,_| \__,_|
Container
[](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [](https://travis-ci.org/datalad/datalad-container) [](https://codecov.io/github/datalad/datalad-container?branch=master) [](http://datalad-container.rtfd.org) [](https://opensource.org/licenses/MIT) [](https://GitHub.com/datalad/datalad-container/releases/) [](https://pypi.python.org/pypi/datalad-container/)
[](https://doi.org/10.5281/zenodo.3368666)
This extension enhances DataLad (http://datalad.org) for working with
computational containers. Please see the [extension
documentation](http://datalad-container.rtfd.org)
for a description on additional commands and functionality.
For general information on how to use or contribute to DataLad (and this
extension), please see the [DataLad website](http://datalad.org) or the
[main GitHub project page](http://datalad.org).
## Installation
Before you install this package, please make sure that you [install a recent
version of git-annex](https://git-annex.branchable.com/install). Afterwards,
install the latest version of `datalad-container` from
[PyPi](https://pypi.org/project/datalad-container). It is recommended to use
a dedicated [virtualenv](https://virtualenv.pypa.io):
# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# install from PyPi
pip install datalad_container
It is also available for conda package manager from conda-forge:
conda install -c conda-forge datalad-container
## Support
The documentation of this project is found here:
http://docs.datalad.org/projects/container
All bugs, concerns and enhancement requests for this software can be submitted here:
https://github.com/datalad/datalad-container/issues
If you have a problem or would like to ask a question about how to use DataLad,
please [submit a question to
NeuroStars.org](https://neurostars.org/tags/datalad) with a ``datalad`` tag.
NeuroStars.org is a platform similar to StackOverflow but dedicated to
neuroinformatics.
All previous DataLad questions are available here:
http://neurostars.org/tags/datalad/
## Acknowledgements
DataLad development is supported by a US-German collaboration in computational
neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and
deployment logistics into a federated 'data distribution'" (Halchenko/Hanke),
co-funded by the US National Science Foundation (NSF 1429999) and the German
Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support
is provided by the German federal state of Saxony-Anhalt and the European
Regional Development Fund (ERDF), Project: Center for Behavioral Brain
Sciences, Imaging Platform. This work is further facilitated by the ReproNim
project (NIH 1P41EB019936-01A1).
%package -n python3-datalad-container
Summary: DataLad extension package for working with containerized environments
Provides: python-datalad-container
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-datalad-container
____ _ _ _
| _ \ __ _ | |_ __ _ | | __ _ __| |
| | | | / _` || __| / _` || | / _` | / _` |
| |_| || (_| || |_ | (_| || |___ | (_| || (_| |
|____/ \__,_| \__| \__,_||_____| \__,_| \__,_|
Container
[](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [](https://travis-ci.org/datalad/datalad-container) [](https://codecov.io/github/datalad/datalad-container?branch=master) [](http://datalad-container.rtfd.org) [](https://opensource.org/licenses/MIT) [](https://GitHub.com/datalad/datalad-container/releases/) [](https://pypi.python.org/pypi/datalad-container/)
[](https://doi.org/10.5281/zenodo.3368666)
This extension enhances DataLad (http://datalad.org) for working with
computational containers. Please see the [extension
documentation](http://datalad-container.rtfd.org)
for a description on additional commands and functionality.
For general information on how to use or contribute to DataLad (and this
extension), please see the [DataLad website](http://datalad.org) or the
[main GitHub project page](http://datalad.org).
## Installation
Before you install this package, please make sure that you [install a recent
version of git-annex](https://git-annex.branchable.com/install). Afterwards,
install the latest version of `datalad-container` from
[PyPi](https://pypi.org/project/datalad-container). It is recommended to use
a dedicated [virtualenv](https://virtualenv.pypa.io):
# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# install from PyPi
pip install datalad_container
It is also available for conda package manager from conda-forge:
conda install -c conda-forge datalad-container
## Support
The documentation of this project is found here:
http://docs.datalad.org/projects/container
All bugs, concerns and enhancement requests for this software can be submitted here:
https://github.com/datalad/datalad-container/issues
If you have a problem or would like to ask a question about how to use DataLad,
please [submit a question to
NeuroStars.org](https://neurostars.org/tags/datalad) with a ``datalad`` tag.
NeuroStars.org is a platform similar to StackOverflow but dedicated to
neuroinformatics.
All previous DataLad questions are available here:
http://neurostars.org/tags/datalad/
## Acknowledgements
DataLad development is supported by a US-German collaboration in computational
neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and
deployment logistics into a federated 'data distribution'" (Halchenko/Hanke),
co-funded by the US National Science Foundation (NSF 1429999) and the German
Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support
is provided by the German federal state of Saxony-Anhalt and the European
Regional Development Fund (ERDF), Project: Center for Behavioral Brain
Sciences, Imaging Platform. This work is further facilitated by the ReproNim
project (NIH 1P41EB019936-01A1).
%package help
Summary: Development documents and examples for datalad-container
Provides: python3-datalad-container-doc
%description help
____ _ _ _
| _ \ __ _ | |_ __ _ | | __ _ __| |
| | | | / _` || __| / _` || | / _` | / _` |
| |_| || (_| || |_ | (_| || |___ | (_| || (_| |
|____/ \__,_| \__| \__,_||_____| \__,_| \__,_|
Container
[](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [](https://travis-ci.org/datalad/datalad-container) [](https://codecov.io/github/datalad/datalad-container?branch=master) [](http://datalad-container.rtfd.org) [](https://opensource.org/licenses/MIT) [](https://GitHub.com/datalad/datalad-container/releases/) [](https://pypi.python.org/pypi/datalad-container/)
[](https://doi.org/10.5281/zenodo.3368666)
This extension enhances DataLad (http://datalad.org) for working with
computational containers. Please see the [extension
documentation](http://datalad-container.rtfd.org)
for a description on additional commands and functionality.
For general information on how to use or contribute to DataLad (and this
extension), please see the [DataLad website](http://datalad.org) or the
[main GitHub project page](http://datalad.org).
## Installation
Before you install this package, please make sure that you [install a recent
version of git-annex](https://git-annex.branchable.com/install). Afterwards,
install the latest version of `datalad-container` from
[PyPi](https://pypi.org/project/datalad-container). It is recommended to use
a dedicated [virtualenv](https://virtualenv.pypa.io):
# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# install from PyPi
pip install datalad_container
It is also available for conda package manager from conda-forge:
conda install -c conda-forge datalad-container
## Support
The documentation of this project is found here:
http://docs.datalad.org/projects/container
All bugs, concerns and enhancement requests for this software can be submitted here:
https://github.com/datalad/datalad-container/issues
If you have a problem or would like to ask a question about how to use DataLad,
please [submit a question to
NeuroStars.org](https://neurostars.org/tags/datalad) with a ``datalad`` tag.
NeuroStars.org is a platform similar to StackOverflow but dedicated to
neuroinformatics.
All previous DataLad questions are available here:
http://neurostars.org/tags/datalad/
## Acknowledgements
DataLad development is supported by a US-German collaboration in computational
neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and
deployment logistics into a federated 'data distribution'" (Halchenko/Hanke),
co-funded by the US National Science Foundation (NSF 1429999) and the German
Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support
is provided by the German federal state of Saxony-Anhalt and the European
Regional Development Fund (ERDF), Project: Center for Behavioral Brain
Sciences, Imaging Platform. This work is further facilitated by the ReproNim
project (NIH 1P41EB019936-01A1).
%prep
%autosetup -n datalad_container-1.2.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-datalad-container -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.1-1
- Package Spec generated
|
