%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 [![Build status](https://ci.appveyor.com/api/projects/status/k4eyq1yygcvwf7wk/branch/master?svg=true)](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [![Travis tests status](https://secure.travis-ci.org/datalad/datalad-container.png?branch=master)](https://travis-ci.org/datalad/datalad-container) [![codecov.io](https://codecov.io/github/datalad/datalad-container/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad-container?branch=master) [![Documentation](https://readthedocs.org/projects/datalad-container/badge/?version=latest)](http://datalad-container.rtfd.org) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![GitHub release](https://img.shields.io/github/release/datalad/datalad-container.svg)](https://GitHub.com/datalad/datalad-container/releases/) [![PyPI version fury.io](https://badge.fury.io/py/datalad-container.svg)](https://pypi.python.org/pypi/datalad-container/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3368666.svg)](https://doi.org/10.5281/zenodo.3368666) ![Conda](https://anaconda.org/conda-forge/datalad-container/badges/version.svg) 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 [![Build status](https://ci.appveyor.com/api/projects/status/k4eyq1yygcvwf7wk/branch/master?svg=true)](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [![Travis tests status](https://secure.travis-ci.org/datalad/datalad-container.png?branch=master)](https://travis-ci.org/datalad/datalad-container) [![codecov.io](https://codecov.io/github/datalad/datalad-container/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad-container?branch=master) [![Documentation](https://readthedocs.org/projects/datalad-container/badge/?version=latest)](http://datalad-container.rtfd.org) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![GitHub release](https://img.shields.io/github/release/datalad/datalad-container.svg)](https://GitHub.com/datalad/datalad-container/releases/) [![PyPI version fury.io](https://badge.fury.io/py/datalad-container.svg)](https://pypi.python.org/pypi/datalad-container/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3368666.svg)](https://doi.org/10.5281/zenodo.3368666) ![Conda](https://anaconda.org/conda-forge/datalad-container/badges/version.svg) 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 [![Build status](https://ci.appveyor.com/api/projects/status/k4eyq1yygcvwf7wk/branch/master?svg=true)](https://ci.appveyor.com/project/mih/datalad-container/branch/master) [![Travis tests status](https://secure.travis-ci.org/datalad/datalad-container.png?branch=master)](https://travis-ci.org/datalad/datalad-container) [![codecov.io](https://codecov.io/github/datalad/datalad-container/coverage.svg?branch=master)](https://codecov.io/github/datalad/datalad-container?branch=master) [![Documentation](https://readthedocs.org/projects/datalad-container/badge/?version=latest)](http://datalad-container.rtfd.org) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![GitHub release](https://img.shields.io/github/release/datalad/datalad-container.svg)](https://GitHub.com/datalad/datalad-container/releases/) [![PyPI version fury.io](https://badge.fury.io/py/datalad-container.svg)](https://pypi.python.org/pypi/datalad-container/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3368666.svg)](https://doi.org/10.5281/zenodo.3368666) ![Conda](https://anaconda.org/conda-forge/datalad-container/badges/version.svg) 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 - 1.2.1-1 - Package Spec generated