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%global _empty_manifest_terminate_build 0
Name: python-saspy
Version: 5.1.0
Release: 1
Summary: A Python interface to SAS
License: Apache Software License
URL: https://github.com/sassoftware/saspy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ae/a0/8ca89853dfc9c7669bce55592209e565aea3ef4e2d3a7b9863d1005f0e92/saspy-5.1.0.tar.gz
BuildArch: noarch
Requires: python3-pygments
Requires: python3-pypiwin32
%description
# Overview
This package provides interfaces between Python and SAS. This package enables a Python developer to create mixed Python/SAS workflows to leverage the
powers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code. The SAS code is
generated by the SASPy object and methods or explicitly user written. Results from SAS are returned as text, HTML5 documents (via SAS ODS), or as
Pandas Data Frames. This package supports running analytics and returning the resulting graphics and result data to the Python process. It can convert
data representations between SAS Data Sets and Pandas Data Frames.
This package has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows, Linux (Including Grid Manager),
or MVS, and local PC SAS. It can run within various Notebooks platforms, or IDE's/UI's or in interactive line mode Python or in Python batch scripts.
It is expected that the user community can, and will, contribute enhancements.
# Badges
[](https://bestpractices.coreinfrastructure.org/projects/6716)
# Prerequisites
- Python3.x or above
- SAS 9.4 or above
- SAS Viya 3 or above
# Connecting offering
- Linux SAS: local or remote, including Grid Manager
- Windows SAS: local or remote
- MVS SAS: remote
- Jupyter, Databricks and/or Zeppelin Notebooks
- Interactive Line mode, Python IDE's or other UI's
- Batch Python scripts
# Installation
This package can be installed via pip or Conda. This will pull down the latest PyPI package and install it.
pip install saspy
However, if that's too easy, you can also download a specific release from
[SASpy project releases page](https://github.com/sassoftware/saspy/releases), or just clone
the repo and and instll from that. To install a given release, use the following,
where the X.X.X is the release version you want.
pip install https://github.com/sassoftware/saspy/archive/vX.X.X.tar.gz
# Getting Started
All of the doc, including install and configuration information can be found at
[sassoftware.github.io/saspy](https://sassoftware.github.io/saspy/).
Also, example Notebooks and use cases can be found at
[sassoftware/saspy-examples](https://github.com/sassoftware/saspy-examples/).
# Contributing
The [Contributing](https://github.com/sassoftware/saspy/blob/main/CONTRIBUTING.md) file explains the rules and conventions to follow while
Contributing to this project. It also contains the **Contributor Agreement** instructions.
# Licensing
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of
the License at [LICENSE.txt](https://github.com/sassoftware/saspy/blob/main/LICENSE.md)
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
# Additional Resources
- [Python Website](http://www.python.org/)
- [SASPy Documentation](https://sassoftware.github.io/saspy/).
- [SASPy Examples](https://github.com/sassoftware/saspy-examples)
%package -n python3-saspy
Summary: A Python interface to SAS
Provides: python-saspy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-saspy
# Overview
This package provides interfaces between Python and SAS. This package enables a Python developer to create mixed Python/SAS workflows to leverage the
powers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code. The SAS code is
generated by the SASPy object and methods or explicitly user written. Results from SAS are returned as text, HTML5 documents (via SAS ODS), or as
Pandas Data Frames. This package supports running analytics and returning the resulting graphics and result data to the Python process. It can convert
data representations between SAS Data Sets and Pandas Data Frames.
This package has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows, Linux (Including Grid Manager),
or MVS, and local PC SAS. It can run within various Notebooks platforms, or IDE's/UI's or in interactive line mode Python or in Python batch scripts.
It is expected that the user community can, and will, contribute enhancements.
# Badges
[](https://bestpractices.coreinfrastructure.org/projects/6716)
# Prerequisites
- Python3.x or above
- SAS 9.4 or above
- SAS Viya 3 or above
# Connecting offering
- Linux SAS: local or remote, including Grid Manager
- Windows SAS: local or remote
- MVS SAS: remote
- Jupyter, Databricks and/or Zeppelin Notebooks
- Interactive Line mode, Python IDE's or other UI's
- Batch Python scripts
# Installation
This package can be installed via pip or Conda. This will pull down the latest PyPI package and install it.
pip install saspy
However, if that's too easy, you can also download a specific release from
[SASpy project releases page](https://github.com/sassoftware/saspy/releases), or just clone
the repo and and instll from that. To install a given release, use the following,
where the X.X.X is the release version you want.
pip install https://github.com/sassoftware/saspy/archive/vX.X.X.tar.gz
# Getting Started
All of the doc, including install and configuration information can be found at
[sassoftware.github.io/saspy](https://sassoftware.github.io/saspy/).
Also, example Notebooks and use cases can be found at
[sassoftware/saspy-examples](https://github.com/sassoftware/saspy-examples/).
# Contributing
The [Contributing](https://github.com/sassoftware/saspy/blob/main/CONTRIBUTING.md) file explains the rules and conventions to follow while
Contributing to this project. It also contains the **Contributor Agreement** instructions.
# Licensing
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of
the License at [LICENSE.txt](https://github.com/sassoftware/saspy/blob/main/LICENSE.md)
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
# Additional Resources
- [Python Website](http://www.python.org/)
- [SASPy Documentation](https://sassoftware.github.io/saspy/).
- [SASPy Examples](https://github.com/sassoftware/saspy-examples)
%package help
Summary: Development documents and examples for saspy
Provides: python3-saspy-doc
%description help
# Overview
This package provides interfaces between Python and SAS. This package enables a Python developer to create mixed Python/SAS workflows to leverage the
powers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code. The SAS code is
generated by the SASPy object and methods or explicitly user written. Results from SAS are returned as text, HTML5 documents (via SAS ODS), or as
Pandas Data Frames. This package supports running analytics and returning the resulting graphics and result data to the Python process. It can convert
data representations between SAS Data Sets and Pandas Data Frames.
This package has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows, Linux (Including Grid Manager),
or MVS, and local PC SAS. It can run within various Notebooks platforms, or IDE's/UI's or in interactive line mode Python or in Python batch scripts.
It is expected that the user community can, and will, contribute enhancements.
# Badges
[](https://bestpractices.coreinfrastructure.org/projects/6716)
# Prerequisites
- Python3.x or above
- SAS 9.4 or above
- SAS Viya 3 or above
# Connecting offering
- Linux SAS: local or remote, including Grid Manager
- Windows SAS: local or remote
- MVS SAS: remote
- Jupyter, Databricks and/or Zeppelin Notebooks
- Interactive Line mode, Python IDE's or other UI's
- Batch Python scripts
# Installation
This package can be installed via pip or Conda. This will pull down the latest PyPI package and install it.
pip install saspy
However, if that's too easy, you can also download a specific release from
[SASpy project releases page](https://github.com/sassoftware/saspy/releases), or just clone
the repo and and instll from that. To install a given release, use the following,
where the X.X.X is the release version you want.
pip install https://github.com/sassoftware/saspy/archive/vX.X.X.tar.gz
# Getting Started
All of the doc, including install and configuration information can be found at
[sassoftware.github.io/saspy](https://sassoftware.github.io/saspy/).
Also, example Notebooks and use cases can be found at
[sassoftware/saspy-examples](https://github.com/sassoftware/saspy-examples/).
# Contributing
The [Contributing](https://github.com/sassoftware/saspy/blob/main/CONTRIBUTING.md) file explains the rules and conventions to follow while
Contributing to this project. It also contains the **Contributor Agreement** instructions.
# Licensing
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of
the License at [LICENSE.txt](https://github.com/sassoftware/saspy/blob/main/LICENSE.md)
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
# Additional Resources
- [Python Website](http://www.python.org/)
- [SASPy Documentation](https://sassoftware.github.io/saspy/).
- [SASPy Examples](https://github.com/sassoftware/saspy-examples)
%prep
%autosetup -n saspy-5.1.0
%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-saspy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 5.1.0-1
- Package Spec generated
|
