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%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.aliyun.com/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
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.25-1
- Package Spec generated
|
