%global _empty_manifest_terminate_build 0
Name: python-rpy2
Version: 3.5.11
Release: 1
Summary: Python interface to the R language (embedded R)
License: GPLv2+
URL: https://rpy2.github.io
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/21/83/58efe42e96397d441609e411d37392dc68198f1a2ff7663c21a1cb07e6a8/rpy2-3.5.11.tar.gz
BuildArch: noarch
%description
# Python -> R bridge
[](https://pypi.python.org/pypi/rpy2)
[](https://codecov.io/gh/rpy2/rpy2)
[](https://github.com/rpy2/rpy2/actions?query=workflow%3A%22Python+package%22)
The project's webpage is here: https://rpy2.github.io/
# Installation
`pip` should work out of the box:
```bash
pip install rpy2
```
The package has optional depencies providing
specific functionalities not otherwise required to use the rest of rpy2.
For example, to be able to run the unit tests:
```bash
pip install rpy2[test]
```
To install all optional dependencies (numpy, pandas, ipython), use:
```bash
pip install rpy2[all]
```
The package is known to compile on Linux, MacOSX
(provided that developper tools are installed, and you are ready
figure out how by yourself). The situation is currently a little
more complicated on Windows. Check the issue tracker.
In case you find yourself with this source without any idea
of what it takes to compile anything on your platform, try first
```bash
python setup.py install
```
## Issues loading shared C libraries
Whenever R is in not installed in a system location, the system might not
know where to find the R shared library.
If `R` is in the `PATH`, that is entering `R` on the command line successfully starts
an R terminal, but rpy2 does not work because of missing C libraries, try the following
before starting Python:
```bash
export LD_LIBRARY_PATH="$(python -m rpy2.situation LD_LIBRARY_PATH)":${LD_LIBRARY_PATH}
```
## Docker
To try `rpy2` in an `ipython` console:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04 ipython
```
To run a jupypter notebook on port 8888:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04
```
More information about Docker images can be found in the
[docker image repository](<https://github.com/rpy2/rpy2-docker>).
Images with jupyter are can be used with
[mybinder](https://github.com/rpy2/rpy2-mybinder).
# Documentation
Documentation is available either in the source tree (`doc/`),
or [online](https://rpy2.github.io/doc.html).
## Testing
`rpy2` uses `pytest`, with the plugin `pytest-cov` for code coverage. To
test the package from the source tree, either to check and installation
on your system or before submitting a pull request, do:
```bash
pytest tests/
```
For code coverage, do:
```bash
pytest --cov=rpy2.rinterface_lib \
--cov=rpy2.rinterface \
--cov=rpy2.ipython \
--cov=rpy2.robject \
tests
```
For more options, such as how to run specify tests, please refer to the `pytest`
documentation.
# License
RPy2 can be used under the terms of the GNU
General Public License Version 2 or later (see the file
gpl-2.0.txt). This is the very same license R itself is released under.
%package -n python3-rpy2
Summary: Python interface to the R language (embedded R)
Provides: python-rpy2
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-rpy2
# Python -> R bridge
[](https://pypi.python.org/pypi/rpy2)
[](https://codecov.io/gh/rpy2/rpy2)
[](https://github.com/rpy2/rpy2/actions?query=workflow%3A%22Python+package%22)
The project's webpage is here: https://rpy2.github.io/
# Installation
`pip` should work out of the box:
```bash
pip install rpy2
```
The package has optional depencies providing
specific functionalities not otherwise required to use the rest of rpy2.
For example, to be able to run the unit tests:
```bash
pip install rpy2[test]
```
To install all optional dependencies (numpy, pandas, ipython), use:
```bash
pip install rpy2[all]
```
The package is known to compile on Linux, MacOSX
(provided that developper tools are installed, and you are ready
figure out how by yourself). The situation is currently a little
more complicated on Windows. Check the issue tracker.
In case you find yourself with this source without any idea
of what it takes to compile anything on your platform, try first
```bash
python setup.py install
```
## Issues loading shared C libraries
Whenever R is in not installed in a system location, the system might not
know where to find the R shared library.
If `R` is in the `PATH`, that is entering `R` on the command line successfully starts
an R terminal, but rpy2 does not work because of missing C libraries, try the following
before starting Python:
```bash
export LD_LIBRARY_PATH="$(python -m rpy2.situation LD_LIBRARY_PATH)":${LD_LIBRARY_PATH}
```
## Docker
To try `rpy2` in an `ipython` console:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04 ipython
```
To run a jupypter notebook on port 8888:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04
```
More information about Docker images can be found in the
[docker image repository](<https://github.com/rpy2/rpy2-docker>).
Images with jupyter are can be used with
[mybinder](https://github.com/rpy2/rpy2-mybinder).
# Documentation
Documentation is available either in the source tree (`doc/`),
or [online](https://rpy2.github.io/doc.html).
## Testing
`rpy2` uses `pytest`, with the plugin `pytest-cov` for code coverage. To
test the package from the source tree, either to check and installation
on your system or before submitting a pull request, do:
```bash
pytest tests/
```
For code coverage, do:
```bash
pytest --cov=rpy2.rinterface_lib \
--cov=rpy2.rinterface \
--cov=rpy2.ipython \
--cov=rpy2.robject \
tests
```
For more options, such as how to run specify tests, please refer to the `pytest`
documentation.
# License
RPy2 can be used under the terms of the GNU
General Public License Version 2 or later (see the file
gpl-2.0.txt). This is the very same license R itself is released under.
%package help
Summary: Development documents and examples for rpy2
Provides: python3-rpy2-doc
%description help
# Python -> R bridge
[](https://pypi.python.org/pypi/rpy2)
[](https://codecov.io/gh/rpy2/rpy2)
[](https://github.com/rpy2/rpy2/actions?query=workflow%3A%22Python+package%22)
The project's webpage is here: https://rpy2.github.io/
# Installation
`pip` should work out of the box:
```bash
pip install rpy2
```
The package has optional depencies providing
specific functionalities not otherwise required to use the rest of rpy2.
For example, to be able to run the unit tests:
```bash
pip install rpy2[test]
```
To install all optional dependencies (numpy, pandas, ipython), use:
```bash
pip install rpy2[all]
```
The package is known to compile on Linux, MacOSX
(provided that developper tools are installed, and you are ready
figure out how by yourself). The situation is currently a little
more complicated on Windows. Check the issue tracker.
In case you find yourself with this source without any idea
of what it takes to compile anything on your platform, try first
```bash
python setup.py install
```
## Issues loading shared C libraries
Whenever R is in not installed in a system location, the system might not
know where to find the R shared library.
If `R` is in the `PATH`, that is entering `R` on the command line successfully starts
an R terminal, but rpy2 does not work because of missing C libraries, try the following
before starting Python:
```bash
export LD_LIBRARY_PATH="$(python -m rpy2.situation LD_LIBRARY_PATH)":${LD_LIBRARY_PATH}
```
## Docker
To try `rpy2` in an `ipython` console:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04 ipython
```
To run a jupypter notebook on port 8888:
```bash
docker run --rm -p 8888:8888 rpy2/jupyter-ubuntu:master-20.04
```
More information about Docker images can be found in the
[docker image repository](<https://github.com/rpy2/rpy2-docker>).
Images with jupyter are can be used with
[mybinder](https://github.com/rpy2/rpy2-mybinder).
# Documentation
Documentation is available either in the source tree (`doc/`),
or [online](https://rpy2.github.io/doc.html).
## Testing
`rpy2` uses `pytest`, with the plugin `pytest-cov` for code coverage. To
test the package from the source tree, either to check and installation
on your system or before submitting a pull request, do:
```bash
pytest tests/
```
For code coverage, do:
```bash
pytest --cov=rpy2.rinterface_lib \
--cov=rpy2.rinterface \
--cov=rpy2.ipython \
--cov=rpy2.robject \
tests
```
For more options, such as how to run specify tests, please refer to the `pytest`
documentation.
# License
RPy2 can be used under the terms of the GNU
General Public License Version 2 or later (see the file
gpl-2.0.txt). This is the very same license R itself is released under.
%prep
%autosetup -n rpy2-3.5.11
%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-rpy2 -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 3.5.11-1
- Package Spec generated