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author | CoprDistGit <infra@openeuler.org> | 2023-04-11 04:28:30 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-04-11 04:28:30 +0000 |
commit | 72e249ad5f53f2a14d34e733b78920a141cdc8ec (patch) | |
tree | 5ebcbd5e3706c66e42f682e3ec827e0bf8388a44 | |
parent | c732253ea701c161e3fe57935e04740cbc6caa82 (diff) |
automatic import of python-dwave-neal
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-dwave-neal.spec | 103 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 105 insertions, 0 deletions
@@ -0,0 +1 @@ +/dwave-neal-0.6.0.tar.gz diff --git a/python-dwave-neal.spec b/python-dwave-neal.spec new file mode 100644 index 0000000..32def97 --- /dev/null +++ b/python-dwave-neal.spec @@ -0,0 +1,103 @@ +%global _empty_manifest_terminate_build 0 +Name: python-dwave-neal +Version: 0.6.0 +Release: 1 +Summary: General Ising graph simulated annealing solver +License: Apache 2.0 +URL: https://github.com/dwavesystems/dwave-neal +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/84/7c/e368bbddb111958f64d4fdd58d4a0e01f8dc16d56fe89c7abdb028fbb029/dwave-neal-0.6.0.tar.gz +BuildArch: noarch + +Requires: python3-dwave-samplers + +%description +An implementation of a simulated annealing sampler. +A simulated annealing sampler can be used for approximate Boltzmann sampling or +heuristic optimization. This implementation approaches the equilibrium +distribution by performing updates at a sequence of increasing beta values, +``beta_schedule``, terminating at the target beta. Each spin is updated once +in a fixed order per point in the beta_schedule according to a Metropolis- +Hastings update. When beta is large the target distribution concentrates, at +equilibrium, over ground states of the model. Samples are guaranteed to match +the equilibrium for long 'smooth' beta schedules. +For more information, see Kirkpatrick, S.; Gelatt Jr, C. D.; Vecchi, M. P. +(1983). "Optimization by Simulated Annealing". Science. 220 (4598): 671–680 + +%package -n python3-dwave-neal +Summary: General Ising graph simulated annealing solver +Provides: python-dwave-neal +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-dwave-neal +An implementation of a simulated annealing sampler. +A simulated annealing sampler can be used for approximate Boltzmann sampling or +heuristic optimization. This implementation approaches the equilibrium +distribution by performing updates at a sequence of increasing beta values, +``beta_schedule``, terminating at the target beta. Each spin is updated once +in a fixed order per point in the beta_schedule according to a Metropolis- +Hastings update. When beta is large the target distribution concentrates, at +equilibrium, over ground states of the model. Samples are guaranteed to match +the equilibrium for long 'smooth' beta schedules. +For more information, see Kirkpatrick, S.; Gelatt Jr, C. D.; Vecchi, M. P. +(1983). "Optimization by Simulated Annealing". Science. 220 (4598): 671–680 + +%package help +Summary: Development documents and examples for dwave-neal +Provides: python3-dwave-neal-doc +%description help +An implementation of a simulated annealing sampler. +A simulated annealing sampler can be used for approximate Boltzmann sampling or +heuristic optimization. This implementation approaches the equilibrium +distribution by performing updates at a sequence of increasing beta values, +``beta_schedule``, terminating at the target beta. Each spin is updated once +in a fixed order per point in the beta_schedule according to a Metropolis- +Hastings update. When beta is large the target distribution concentrates, at +equilibrium, over ground states of the model. Samples are guaranteed to match +the equilibrium for long 'smooth' beta schedules. +For more information, see Kirkpatrick, S.; Gelatt Jr, C. D.; Vecchi, M. P. +(1983). "Optimization by Simulated Annealing". Science. 220 (4598): 671–680 + +%prep +%autosetup -n dwave-neal-0.6.0 + +%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-dwave-neal -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.0-1 +- Package Spec generated @@ -0,0 +1 @@ +2566e8ea06108de3d88ed4b670471def dwave-neal-0.6.0.tar.gz |