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authorCoprDistGit <infra@openeuler.org>2023-04-11 04:28:30 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-11 04:28:30 +0000
commit72e249ad5f53f2a14d34e733b78920a141cdc8ec (patch)
tree5ebcbd5e3706c66e42f682e3ec827e0bf8388a44
parentc732253ea701c161e3fe57935e04740cbc6caa82 (diff)
automatic import of python-dwave-neal
-rw-r--r--.gitignore1
-rw-r--r--python-dwave-neal.spec103
-rw-r--r--sources1
3 files changed, 105 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..90bf18a 100644
--- a/.gitignore
+++ b/.gitignore
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+/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
diff --git a/sources b/sources
new file mode 100644
index 0000000..686ca58
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2566e8ea06108de3d88ed4b670471def dwave-neal-0.6.0.tar.gz