From b34f69b40df4777e2cc3eec985f3aae1968644d0 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 10 May 2023 08:05:35 +0000 Subject: automatic import of python-formulae --- python-formulae.spec | 177 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 177 insertions(+) create mode 100644 python-formulae.spec (limited to 'python-formulae.spec') diff --git a/python-formulae.spec b/python-formulae.spec new file mode 100644 index 0000000..5d826c4 --- /dev/null +++ b/python-formulae.spec @@ -0,0 +1,177 @@ +%global _empty_manifest_terminate_build 0 +Name: python-formulae +Version: 0.3.4 +Release: 1 +Summary: Formulas for mixed-effects models in Python +License: MIT +URL: https://github.com/bambinos/formulae +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/43/a7/4a3043b24f76d318eb6f12464aca4daef39c23630803eeb6acbae8a78fc3/formulae-0.3.4.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-scipy + +%description + + +[![PyPI version](https://badge.fury.io/py/formulae.svg)](https://badge.fury.io/py/formulae) +[![codecov](https://codecov.io/gh/bambinos/formulae/branch/master/graph/badge.svg)](https://codecov.io/gh/bambinos/formulae) +[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) + +# formulae + +formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations like [Patsy](https://github.com/pydata/patsy) or [formulaic](https://github.com/matthewwardrop/formulaic) is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively). + +This package has been written to make it easier to specify models with group effects in [Bambi](https://github.com/bambinos/bambi), a package that makes it easy to work with Bayesian GLMMs in Python, but it could be used independently as a backend for another library. The approach in this library is to extend classical statistical formulas in a similar way than in R package [lme4](https://CRAN.R-project.org/package=lme4). + +## Installation + +formulae requires a working Python interpreter (3.7+) and the libraries numpy, scipy and pandas with versions specified in the [requirements.txt](https://github.com/bambinos/formulae/blob/master/requirements.txt) file. + +Assuming a standard Python environment is installed on your machine (including pip), the latest release of formulae can be installed in one line using pip: + +`pip install formulae` + +Alternatively, if you want the development version of the package you can install from GitHub: + +`pip install git+https://github.com/bambinos/formulae.git` + +## Documentation + +The official documentation can be found [here](https://bambinos.github.io/formulae) + +## Notes + +- The `data` argument only accepts objects of class `pandas.DataFrame`. +- `y ~ .` is not implemented and won't be implemented in a first version. However, it is planned to be included in the future. + + + + +%package -n python3-formulae +Summary: Formulas for mixed-effects models in Python +Provides: python-formulae +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-formulae + + +[![PyPI version](https://badge.fury.io/py/formulae.svg)](https://badge.fury.io/py/formulae) +[![codecov](https://codecov.io/gh/bambinos/formulae/branch/master/graph/badge.svg)](https://codecov.io/gh/bambinos/formulae) +[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) + +# formulae + +formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations like [Patsy](https://github.com/pydata/patsy) or [formulaic](https://github.com/matthewwardrop/formulaic) is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively). + +This package has been written to make it easier to specify models with group effects in [Bambi](https://github.com/bambinos/bambi), a package that makes it easy to work with Bayesian GLMMs in Python, but it could be used independently as a backend for another library. The approach in this library is to extend classical statistical formulas in a similar way than in R package [lme4](https://CRAN.R-project.org/package=lme4). + +## Installation + +formulae requires a working Python interpreter (3.7+) and the libraries numpy, scipy and pandas with versions specified in the [requirements.txt](https://github.com/bambinos/formulae/blob/master/requirements.txt) file. + +Assuming a standard Python environment is installed on your machine (including pip), the latest release of formulae can be installed in one line using pip: + +`pip install formulae` + +Alternatively, if you want the development version of the package you can install from GitHub: + +`pip install git+https://github.com/bambinos/formulae.git` + +## Documentation + +The official documentation can be found [here](https://bambinos.github.io/formulae) + +## Notes + +- The `data` argument only accepts objects of class `pandas.DataFrame`. +- `y ~ .` is not implemented and won't be implemented in a first version. However, it is planned to be included in the future. + + + + +%package help +Summary: Development documents and examples for formulae +Provides: python3-formulae-doc +%description help + + +[![PyPI version](https://badge.fury.io/py/formulae.svg)](https://badge.fury.io/py/formulae) +[![codecov](https://codecov.io/gh/bambinos/formulae/branch/master/graph/badge.svg)](https://codecov.io/gh/bambinos/formulae) +[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) + +# formulae + +formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations like [Patsy](https://github.com/pydata/patsy) or [formulaic](https://github.com/matthewwardrop/formulaic) is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively). + +This package has been written to make it easier to specify models with group effects in [Bambi](https://github.com/bambinos/bambi), a package that makes it easy to work with Bayesian GLMMs in Python, but it could be used independently as a backend for another library. The approach in this library is to extend classical statistical formulas in a similar way than in R package [lme4](https://CRAN.R-project.org/package=lme4). + +## Installation + +formulae requires a working Python interpreter (3.7+) and the libraries numpy, scipy and pandas with versions specified in the [requirements.txt](https://github.com/bambinos/formulae/blob/master/requirements.txt) file. + +Assuming a standard Python environment is installed on your machine (including pip), the latest release of formulae can be installed in one line using pip: + +`pip install formulae` + +Alternatively, if you want the development version of the package you can install from GitHub: + +`pip install git+https://github.com/bambinos/formulae.git` + +## Documentation + +The official documentation can be found [here](https://bambinos.github.io/formulae) + +## Notes + +- The `data` argument only accepts objects of class `pandas.DataFrame`. +- `y ~ .` is not implemented and won't be implemented in a first version. However, it is planned to be included in the future. + + + + +%prep +%autosetup -n formulae-0.3.4 + +%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-formulae -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot - 0.3.4-1 +- Package Spec generated -- cgit v1.2.3