%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 - 2022.5.5-1 - Package Spec generated