automatic import of python-formulaeopeneuler20.03

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+/formulae-0.3.4.tar.gz
diff --git a/python-formulae.spec b/python-formulae.spec
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+%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
+<img src="docs/logo/formulae_large.png" width=250></img>
+
+[![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
+<img src="docs/logo/formulae_large.png" width=250></img>
+
+[![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
+<img src="docs/logo/formulae_large.png" width=250></img>
+
+[![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 <Python_Bot@openeuler.org> - 0.3.4-1
+- Package Spec generated
diff --git a/sources b/sources
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+++ b/sources
@@ -0,0 +1 @@
+93b26cd563c1cfc8ad72ee590fce5873  formulae-0.3.4.tar.gz