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+%global _empty_manifest_terminate_build 0
+Name: python-osqp
+Version: 0.6.2.post8
+Release: 1
+Summary: OSQP: The Operator Splitting QP Solver
+License: Apache 2.0
+URL: https://osqp.org/
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5a/61/7b94eb7de2b7c9d12d8757ef9d0f5dfe3c5dc0ba0e88f08d4ae929996a34/osqp-0.6.2.post8.tar.gz
+
+Requires: python3-numpy
+Requires: python3-scipy
+Requires: python3-qdldl
+
+%description
+Python wrapper for `OSQP <https://osqp.org/>`__: the Operator
+Splitting QP Solver.
+The OSQP (Operator Splitting Quadratic Program) solver is a numerical
+optimization package for solving problems in the form
+ minimize 0.5 x' P x + q' x
+ subject to l <= A x <= u
+where ``x in R^n`` is the optimization variable. The objective function
+is defined by a positive semidefinite matrix ``P in S^n_+`` and vector
+``q in R^n``. The linear constraints are defined by matrix
+``A in R^{m x n}`` and vectors ``l in R^m U {-inf}^m``,
+``u in R^m U {+inf}^m``.
+
+%package -n python3-osqp
+Summary: OSQP: The Operator Splitting QP Solver
+Provides: python-osqp
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+BuildRequires: python3-cffi
+BuildRequires: gcc
+BuildRequires: gdb
+%description -n python3-osqp
+Python wrapper for `OSQP <https://osqp.org/>`__: the Operator
+Splitting QP Solver.
+The OSQP (Operator Splitting Quadratic Program) solver is a numerical
+optimization package for solving problems in the form
+ minimize 0.5 x' P x + q' x
+ subject to l <= A x <= u
+where ``x in R^n`` is the optimization variable. The objective function
+is defined by a positive semidefinite matrix ``P in S^n_+`` and vector
+``q in R^n``. The linear constraints are defined by matrix
+``A in R^{m x n}`` and vectors ``l in R^m U {-inf}^m``,
+``u in R^m U {+inf}^m``.
+
+%package help
+Summary: Development documents and examples for osqp
+Provides: python3-osqp-doc
+%description help
+Python wrapper for `OSQP <https://osqp.org/>`__: the Operator
+Splitting QP Solver.
+The OSQP (Operator Splitting Quadratic Program) solver is a numerical
+optimization package for solving problems in the form
+ minimize 0.5 x' P x + q' x
+ subject to l <= A x <= u
+where ``x in R^n`` is the optimization variable. The objective function
+is defined by a positive semidefinite matrix ``P in S^n_+`` and vector
+``q in R^n``. The linear constraints are defined by matrix
+``A in R^{m x n}`` and vectors ``l in R^m U {-inf}^m``,
+``u in R^m U {+inf}^m``.
+
+%prep
+%autosetup -n osqp-0.6.2.post8
+
+%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-osqp -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2.post8-1
+- Package Spec generated