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@@ -0,0 +1 @@ +/betacal-1.1.0.tar.gz diff --git a/python-betacal.spec b/python-betacal.spec new file mode 100644 index 0000000..5ca9556 --- /dev/null +++ b/python-betacal.spec @@ -0,0 +1,197 @@ +%global _empty_manifest_terminate_build 0 +Name: python-betacal +Version: 1.1.0 +Release: 1 +Summary: Beta calibration +License: MIT +URL: https://betacal.github.io/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f6/76/edaa7f9688a8a1458063ec2495ef552d99a9186b01bbbd752e61391d8f8d/betacal-1.1.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn + +%description +# Beta calibration - Python package + +This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check [https://betacal.github.io/](https://betacal.github.io/). + +## Dependencies + +* [Numpy] - NumPy is the fundamental package for scientific computing with + Python. +* [Scikit-learn] - Machine Learning in Python. + +## Usage + + - Install from pip using "pip install betacal" + - Alternatively, download from the repository, cd to the folder and use "pip install ." + - Once installed, import the package using "import betacal" + +## Unittest + +Create a virtual environment with the necessary dependencies + +``` +virtualenv venv +. ./venv/bin/activate +pip install -r requirements.txt +``` + +and then run the script runtests.sh + +``` +bash runtests.sh +``` + +## License + +MIT + +[//]: # (References) + [Numpy]: <http://www.numpy.org/> + [Scikit-learn]: <http://scikit-learn.org/> + + + + +%package -n python3-betacal +Summary: Beta calibration +Provides: python-betacal +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-betacal +# Beta calibration - Python package + +This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check [https://betacal.github.io/](https://betacal.github.io/). + +## Dependencies + +* [Numpy] - NumPy is the fundamental package for scientific computing with + Python. +* [Scikit-learn] - Machine Learning in Python. + +## Usage + + - Install from pip using "pip install betacal" + - Alternatively, download from the repository, cd to the folder and use "pip install ." + - Once installed, import the package using "import betacal" + +## Unittest + +Create a virtual environment with the necessary dependencies + +``` +virtualenv venv +. ./venv/bin/activate +pip install -r requirements.txt +``` + +and then run the script runtests.sh + +``` +bash runtests.sh +``` + +## License + +MIT + +[//]: # (References) + [Numpy]: <http://www.numpy.org/> + [Scikit-learn]: <http://scikit-learn.org/> + + + + +%package help +Summary: Development documents and examples for betacal +Provides: python3-betacal-doc +%description help +# Beta calibration - Python package + +This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check [https://betacal.github.io/](https://betacal.github.io/). + +## Dependencies + +* [Numpy] - NumPy is the fundamental package for scientific computing with + Python. +* [Scikit-learn] - Machine Learning in Python. + +## Usage + + - Install from pip using "pip install betacal" + - Alternatively, download from the repository, cd to the folder and use "pip install ." + - Once installed, import the package using "import betacal" + +## Unittest + +Create a virtual environment with the necessary dependencies + +``` +virtualenv venv +. ./venv/bin/activate +pip install -r requirements.txt +``` + +and then run the script runtests.sh + +``` +bash runtests.sh +``` + +## License + +MIT + +[//]: # (References) + [Numpy]: <http://www.numpy.org/> + [Scikit-learn]: <http://scikit-learn.org/> + + + + +%prep +%autosetup -n betacal-1.1.0 + +%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-betacal -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.0-1 +- Package Spec generated @@ -0,0 +1 @@ +f6004364e034b028b0603e003571f1d9 betacal-1.1.0.tar.gz |