%global _empty_manifest_terminate_build 0
Name:		python-hipersim
Version:	0.0.25
Release:	1
Summary:	A collection of wind energy simulation tools
License:	MIT License
URL:		https://gitlab.windenergy.dtu.dk/HiperSim/hipersim
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b9/2a/24425ca430d6f3b5178c4e6d45de6dfd8b8b74abb098a7e1a3c91c615cbc/hipersim-0.0.25.tar.gz
BuildArch:	noarch


%description
# Hipersim

## Introduction
Hipersim is a collection of tools for computationally-efficient simulation of Wind Energy problems using statistical and machine learning methods. Currently, the package contains the following submodules:

- **turbgen**: 
    - Generation of 3D frozen turbulence fields ("turbulence boxes") with the Mann turbulence spectrum
    - Constrained turbulence field generation and application of constraints on pre-generated turbulence fields

- **surrogates**:
    - A feedforward neural network toolbox, training and evaluation of feedforward neural networks. 
	- A set of tools for surrogate-based modeling and analysis of wind farms

## Installation
Hipersim is registered as installable Python package in PyPi.org. Installation happens automatically with the following command:

pip install hipersim

## References

## License
Hipersim uses the MIT License.




%package -n python3-hipersim
Summary:	A collection of wind energy simulation tools
Provides:	python-hipersim
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-hipersim
# Hipersim

## Introduction
Hipersim is a collection of tools for computationally-efficient simulation of Wind Energy problems using statistical and machine learning methods. Currently, the package contains the following submodules:

- **turbgen**: 
    - Generation of 3D frozen turbulence fields ("turbulence boxes") with the Mann turbulence spectrum
    - Constrained turbulence field generation and application of constraints on pre-generated turbulence fields

- **surrogates**:
    - A feedforward neural network toolbox, training and evaluation of feedforward neural networks. 
	- A set of tools for surrogate-based modeling and analysis of wind farms

## Installation
Hipersim is registered as installable Python package in PyPi.org. Installation happens automatically with the following command:

pip install hipersim

## References

## License
Hipersim uses the MIT License.




%package help
Summary:	Development documents and examples for hipersim
Provides:	python3-hipersim-doc
%description help
# Hipersim

## Introduction
Hipersim is a collection of tools for computationally-efficient simulation of Wind Energy problems using statistical and machine learning methods. Currently, the package contains the following submodules:

- **turbgen**: 
    - Generation of 3D frozen turbulence fields ("turbulence boxes") with the Mann turbulence spectrum
    - Constrained turbulence field generation and application of constraints on pre-generated turbulence fields

- **surrogates**:
    - A feedforward neural network toolbox, training and evaluation of feedforward neural networks. 
	- A set of tools for surrogate-based modeling and analysis of wind farms

## Installation
Hipersim is registered as installable Python package in PyPi.org. Installation happens automatically with the following command:

pip install hipersim

## References

## License
Hipersim uses the MIT License.




%prep
%autosetup -n hipersim-0.0.25

%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-hipersim -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.25-1
- Package Spec generated