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%global _empty_manifest_terminate_build 0
Name: python-SQSnobFit
Version: 0.4.5
Release: 1
Summary: SnobFit - Stable Noisy Optimization by Branch and FIT
License: other
URL: http://scikit-quant.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5e/38/93f0258aaf46c273869407f18dc0335d4ffda5c2886fc86c16a008b2b225/SQSnobFit-0.4.5.tar.gz
BuildArch: noarch
%description
SnobFit is intended for optimizing on derivative-free, noisy, blackbox functions.
This modified version has preset defaults as intended for hybrid quantum-classical
algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.
This version of SNOBFIT was modified and redistributed with permission.
Copyright of original (v2.1):
A. Neumaier, University of Vienna
Copyright of modifications:
UC Regents, Berkeley
Official website:
https://www.mat.univie.ac.at/~neum/software/snobfit/
Reference:
W. Huyer and A. Neumaier, "Snobfit - Stable Noisy Optimization by Branch and Fit",
ACM Trans. Math. Software 35 (2008), Article 9.
https://www.mat.univie.ac.at/~neum/ms/snobfit.pdf
%package -n python3-SQSnobFit
Summary: SnobFit - Stable Noisy Optimization by Branch and FIT
Provides: python-SQSnobFit
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-SQSnobFit
SnobFit is intended for optimizing on derivative-free, noisy, blackbox functions.
This modified version has preset defaults as intended for hybrid quantum-classical
algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.
This version of SNOBFIT was modified and redistributed with permission.
Copyright of original (v2.1):
A. Neumaier, University of Vienna
Copyright of modifications:
UC Regents, Berkeley
Official website:
https://www.mat.univie.ac.at/~neum/software/snobfit/
Reference:
W. Huyer and A. Neumaier, "Snobfit - Stable Noisy Optimization by Branch and Fit",
ACM Trans. Math. Software 35 (2008), Article 9.
https://www.mat.univie.ac.at/~neum/ms/snobfit.pdf
%package help
Summary: Development documents and examples for SQSnobFit
Provides: python3-SQSnobFit-doc
%description help
SnobFit is intended for optimizing on derivative-free, noisy, blackbox functions.
This modified version has preset defaults as intended for hybrid quantum-classical
algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.
This version of SNOBFIT was modified and redistributed with permission.
Copyright of original (v2.1):
A. Neumaier, University of Vienna
Copyright of modifications:
UC Regents, Berkeley
Official website:
https://www.mat.univie.ac.at/~neum/software/snobfit/
Reference:
W. Huyer and A. Neumaier, "Snobfit - Stable Noisy Optimization by Branch and Fit",
ACM Trans. Math. Software 35 (2008), Article 9.
https://www.mat.univie.ac.at/~neum/ms/snobfit.pdf
%prep
%autosetup -n SQSnobFit-0.4.5
%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-SQSnobFit -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.5-1
- Package Spec generated
|
