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diff --git a/python-dwavebinarycsp.spec b/python-dwavebinarycsp.spec new file mode 100644 index 0000000..7560b40 --- /dev/null +++ b/python-dwavebinarycsp.spec @@ -0,0 +1,102 @@ +%global _empty_manifest_terminate_build 0 +Name: python-dwavebinarycsp +Version: 0.2.0 +Release: 1 +Summary: Solves constraints satisfaction problems with binary quadratic model samplers +License: Apache 2.0 +URL: https://github.com/dwavesystems/dwavebinarycsp +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/62/f3/0b2dbce6ca7a99b02254ceb8135888c117ef80edcf7ca12b7063cd22c8a4/dwavebinarycsp-0.2.0.tar.gz +BuildArch: noarch + +Requires: python3-penaltymodel +Requires: python3-networkx +Requires: python3-dimod + +%description +Library to construct a binary quadratic model from a constraint satisfaction problem with +small constraints over binary variables. +Below is an example usage: + import dwavebinarycsp + import dimod + csp = dwavebinarycsp.factories.random_2in4sat(8, 4) # 8 variables, 4 clauses + bqm = dwavebinarycsp.stitch(csp) + resp = dimod.ExactSolver().sample(bqm) + for sample, energy in resp.data(['sample', 'energy']): + print(sample, csp.check(sample), energy) + +%package -n python3-dwavebinarycsp +Summary: Solves constraints satisfaction problems with binary quadratic model samplers +Provides: python-dwavebinarycsp +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-dwavebinarycsp +Library to construct a binary quadratic model from a constraint satisfaction problem with +small constraints over binary variables. +Below is an example usage: + import dwavebinarycsp + import dimod + csp = dwavebinarycsp.factories.random_2in4sat(8, 4) # 8 variables, 4 clauses + bqm = dwavebinarycsp.stitch(csp) + resp = dimod.ExactSolver().sample(bqm) + for sample, energy in resp.data(['sample', 'energy']): + print(sample, csp.check(sample), energy) + +%package help +Summary: Development documents and examples for dwavebinarycsp +Provides: python3-dwavebinarycsp-doc +%description help +Library to construct a binary quadratic model from a constraint satisfaction problem with +small constraints over binary variables. +Below is an example usage: + import dwavebinarycsp + import dimod + csp = dwavebinarycsp.factories.random_2in4sat(8, 4) # 8 variables, 4 clauses + bqm = dwavebinarycsp.stitch(csp) + resp = dimod.ExactSolver().sample(bqm) + for sample, energy in resp.data(['sample', 'energy']): + print(sample, csp.check(sample), energy) + +%prep +%autosetup -n dwavebinarycsp-0.2.0 + +%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-dwavebinarycsp -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1 +- Package Spec generated |