%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