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|
%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
|
