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diff --git a/python-d3m.spec b/python-d3m.spec new file mode 100644 index 0000000..82c11e9 --- /dev/null +++ b/python-d3m.spec @@ -0,0 +1,225 @@ +%global _empty_manifest_terminate_build 0 +Name: python-d3m +Version: 2022.5.5 +Release: 1 +Summary: project +License: Apache-2.0 +URL: https://gitlab.com/datadrivendiscovery/d3m +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a6/cf/a333098cb00a3add08198ce19c50593b1519c0482f5fb02d6a0a6b38bfdf/d3m-2022.5.5.tar.gz +BuildArch: noarch + + +%description +# Common code for D3M project + +This package provides a core package for D3M project with common code available. +It contains standard interfaces, reference implementations, and utility implementations. + +## Installation + +This package works with Python 3.6-3.8 and pip 19+. + +You can install latest stable version from [PyPI](https://pypi.org/): + +``` +$ pip3 install d3m +``` + +To install the latest development version: + +``` +$ pip3 install -e git+https://gitlab.com/datadrivendiscovery/d3m.git@devel#egg=d3m +``` + +When cloning the repository, clone it recursively to get also git submodules: + +``` +$ git clone --recursive https://gitlab.com/datadrivendiscovery/d3m.git +``` + +## Changelog + +See [HISTORY.md](./HISTORY.md) for a summary of changes between versions of this package. + +## Documentation + +The documentation for the package is available at [https://datadrivendiscovery.org/](https://datadrivendiscovery.org/). + +## Contributing + +See [CODE_STYLE.md](./CODE_STYLE.md) for our coding style and contribution guide. Please ensure any merge requests you open follow this guide. + +## Repository structure + +`master` branch contains latest stable release of the package. +`devel` branch is a staging branch for the next release. + +Releases are [tagged](https://gitlab.com/datadrivendiscovery/d3m/-/tags). + +## About the Data Driven Discovery of Models Program + +DARPA's Data Driven Discovery of Models (D3M) Program is researching ways to get machines to build +machine learning pipelines automatically. It is split into three layers: +TA1 (primitives), TA2 (systems which combine primitives automatically into pipelines +and executes them), and TA3 (end-users interfaces). + +%package -n python3-d3m +Summary: project +Provides: python-d3m +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-d3m +# Common code for D3M project + +This package provides a core package for D3M project with common code available. +It contains standard interfaces, reference implementations, and utility implementations. + +## Installation + +This package works with Python 3.6-3.8 and pip 19+. + +You can install latest stable version from [PyPI](https://pypi.org/): + +``` +$ pip3 install d3m +``` + +To install the latest development version: + +``` +$ pip3 install -e git+https://gitlab.com/datadrivendiscovery/d3m.git@devel#egg=d3m +``` + +When cloning the repository, clone it recursively to get also git submodules: + +``` +$ git clone --recursive https://gitlab.com/datadrivendiscovery/d3m.git +``` + +## Changelog + +See [HISTORY.md](./HISTORY.md) for a summary of changes between versions of this package. + +## Documentation + +The documentation for the package is available at [https://datadrivendiscovery.org/](https://datadrivendiscovery.org/). + +## Contributing + +See [CODE_STYLE.md](./CODE_STYLE.md) for our coding style and contribution guide. Please ensure any merge requests you open follow this guide. + +## Repository structure + +`master` branch contains latest stable release of the package. +`devel` branch is a staging branch for the next release. + +Releases are [tagged](https://gitlab.com/datadrivendiscovery/d3m/-/tags). + +## About the Data Driven Discovery of Models Program + +DARPA's Data Driven Discovery of Models (D3M) Program is researching ways to get machines to build +machine learning pipelines automatically. It is split into three layers: +TA1 (primitives), TA2 (systems which combine primitives automatically into pipelines +and executes them), and TA3 (end-users interfaces). + +%package help +Summary: Development documents and examples for d3m +Provides: python3-d3m-doc +%description help +# Common code for D3M project + +This package provides a core package for D3M project with common code available. +It contains standard interfaces, reference implementations, and utility implementations. + +## Installation + +This package works with Python 3.6-3.8 and pip 19+. + +You can install latest stable version from [PyPI](https://pypi.org/): + +``` +$ pip3 install d3m +``` + +To install the latest development version: + +``` +$ pip3 install -e git+https://gitlab.com/datadrivendiscovery/d3m.git@devel#egg=d3m +``` + +When cloning the repository, clone it recursively to get also git submodules: + +``` +$ git clone --recursive https://gitlab.com/datadrivendiscovery/d3m.git +``` + +## Changelog + +See [HISTORY.md](./HISTORY.md) for a summary of changes between versions of this package. + +## Documentation + +The documentation for the package is available at [https://datadrivendiscovery.org/](https://datadrivendiscovery.org/). + +## Contributing + +See [CODE_STYLE.md](./CODE_STYLE.md) for our coding style and contribution guide. Please ensure any merge requests you open follow this guide. + +## Repository structure + +`master` branch contains latest stable release of the package. +`devel` branch is a staging branch for the next release. + +Releases are [tagged](https://gitlab.com/datadrivendiscovery/d3m/-/tags). + +## About the Data Driven Discovery of Models Program + +DARPA's Data Driven Discovery of Models (D3M) Program is researching ways to get machines to build +machine learning pipelines automatically. It is split into three layers: +TA1 (primitives), TA2 (systems which combine primitives automatically into pipelines +and executes them), and TA3 (end-users interfaces). + +%prep +%autosetup -n d3m-2022.5.5 + +%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-d3m -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2022.5.5-1 +- Package Spec generated |