%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 [![pypi](https://img.shields.io/pypi/v/rpy2.svg?style=flat-square)](https://pypi.python.org/pypi/rpy2) [![Codecov](https://codecov.io/gh/rpy2/rpy2/branch/master/graph/badge.svg)](https://codecov.io/gh/rpy2/rpy2) [![GH Actions](https://github.com/rpy2/rpy2/workflows/Python%20package/badge.svg)](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](). 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 [![pypi](https://img.shields.io/pypi/v/rpy2.svg?style=flat-square)](https://pypi.python.org/pypi/rpy2) [![Codecov](https://codecov.io/gh/rpy2/rpy2/branch/master/graph/badge.svg)](https://codecov.io/gh/rpy2/rpy2) [![GH Actions](https://github.com/rpy2/rpy2/workflows/Python%20package/badge.svg)](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](). 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 [![pypi](https://img.shields.io/pypi/v/rpy2.svg?style=flat-square)](https://pypi.python.org/pypi/rpy2) [![Codecov](https://codecov.io/gh/rpy2/rpy2/branch/master/graph/badge.svg)](https://codecov.io/gh/rpy2/rpy2) [![GH Actions](https://github.com/rpy2/rpy2/workflows/Python%20package/badge.svg)](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](). 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 - 3.5.11-1 - Package Spec generated