automatic import of python-pyneqsys

3 files changed, 143 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/pyneqsys-0.5.7.tar.gz
diff --git a/python-pyneqsys.spec b/python-pyneqsys.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pyneqsys
+Version:	0.5.7
+Release:	1
+Summary:	Package for numerically solving symbolically defined systems of non-linear equations.
+License:	BSD
+URL:		https://github.com/bjodah/pyneqsys
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/32/2e/e462e8565f1472cc46bebf7a0bca7dc8a452a29dc73c341e4b3f70eaea86/pyneqsys-0.5.7.tar.gz
+BuildArch:	noarch
+
+
+%description
+pyneqsys provides a convenience class for 
+representing and solving non-linear equation systems from symbolic expressions
+(provided e.g. with the help of SymPy_).
+The numerical root finding is perfomed using either:
+- scipy: `scipy.optimize.root <http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.root.html>`_
+- mpmath (arbitrary precision): `mpmath.calculus.optimization.MDNewton <http://mpmath.org/doc/1.0.0/calculus/optimization.html#mpmath.calculus.optimization.MDNewton>`_
+- kinsol (from SUNDIALS): `pykinsol.solve <http://bjodah.github.io/pykinsol/latest/pykinsol.html#pykinsol.solve>`_
+- nleq2 (ZIB library free for academic use): `pynleq2.solve <http://bjodah.github.io/pynleq2/pynleq2.html#pynleq2.solve>`_
+- levmar (Levenberg-Marquardt): `levmar.levmar <https://bjodah.github.io/levmar/latest/levmar.html#levmar.levmar>`_
+In addition to offering a unified interface to different solvers, pyneqsys
+can also derive the Jacobian analytically (when using ``pyneqsys.SymbolicSys``).
+This is useful since doing so manually is widely recognized as both tedious and error
+prone.
+The symbolic representation is usually in the form of SymPy_ expressions,
+but the user may choose another symbolic back-end (see `sym <https://github.com/bjodah/sym>`_).
+In addition to deriving the Jacobian analytically the symbolic representation can for
+example apply row-reduce. This is usful for when you have a overdetermined system (
+formed from e.g. applying conservation laws) and want to solve the system by
+root-finding rather than using a least-square optimization of e.g. Levenberg-Marquardt
+style.
+Last, but not the least having a symbolic representation of your system of equations
+allows you to generate publication quality latex representations of your equations (through
+SymPy's latex printer) from a **single** source‒no more error prone hand-rewriting of the same
+equations in another format for presentation!
+
+%package -n python3-pyneqsys
+Summary:	Package for numerically solving symbolically defined systems of non-linear equations.
+Provides:	python-pyneqsys
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pyneqsys
+pyneqsys provides a convenience class for 
+representing and solving non-linear equation systems from symbolic expressions
+(provided e.g. with the help of SymPy_).
+The numerical root finding is perfomed using either:
+- scipy: `scipy.optimize.root <http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.root.html>`_
+- mpmath (arbitrary precision): `mpmath.calculus.optimization.MDNewton <http://mpmath.org/doc/1.0.0/calculus/optimization.html#mpmath.calculus.optimization.MDNewton>`_
+- kinsol (from SUNDIALS): `pykinsol.solve <http://bjodah.github.io/pykinsol/latest/pykinsol.html#pykinsol.solve>`_
+- nleq2 (ZIB library free for academic use): `pynleq2.solve <http://bjodah.github.io/pynleq2/pynleq2.html#pynleq2.solve>`_
+- levmar (Levenberg-Marquardt): `levmar.levmar <https://bjodah.github.io/levmar/latest/levmar.html#levmar.levmar>`_
+In addition to offering a unified interface to different solvers, pyneqsys
+can also derive the Jacobian analytically (when using ``pyneqsys.SymbolicSys``).
+This is useful since doing so manually is widely recognized as both tedious and error
+prone.
+The symbolic representation is usually in the form of SymPy_ expressions,
+but the user may choose another symbolic back-end (see `sym <https://github.com/bjodah/sym>`_).
+In addition to deriving the Jacobian analytically the symbolic representation can for
+example apply row-reduce. This is usful for when you have a overdetermined system (
+formed from e.g. applying conservation laws) and want to solve the system by
+root-finding rather than using a least-square optimization of e.g. Levenberg-Marquardt
+style.
+Last, but not the least having a symbolic representation of your system of equations
+allows you to generate publication quality latex representations of your equations (through
+SymPy's latex printer) from a **single** source‒no more error prone hand-rewriting of the same
+equations in another format for presentation!
+
+%package help
+Summary:	Development documents and examples for pyneqsys
+Provides:	python3-pyneqsys-doc
+%description help
+pyneqsys provides a convenience class for 
+representing and solving non-linear equation systems from symbolic expressions
+(provided e.g. with the help of SymPy_).
+The numerical root finding is perfomed using either:
+- scipy: `scipy.optimize.root <http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.root.html>`_
+- mpmath (arbitrary precision): `mpmath.calculus.optimization.MDNewton <http://mpmath.org/doc/1.0.0/calculus/optimization.html#mpmath.calculus.optimization.MDNewton>`_
+- kinsol (from SUNDIALS): `pykinsol.solve <http://bjodah.github.io/pykinsol/latest/pykinsol.html#pykinsol.solve>`_
+- nleq2 (ZIB library free for academic use): `pynleq2.solve <http://bjodah.github.io/pynleq2/pynleq2.html#pynleq2.solve>`_
+- levmar (Levenberg-Marquardt): `levmar.levmar <https://bjodah.github.io/levmar/latest/levmar.html#levmar.levmar>`_
+In addition to offering a unified interface to different solvers, pyneqsys
+can also derive the Jacobian analytically (when using ``pyneqsys.SymbolicSys``).
+This is useful since doing so manually is widely recognized as both tedious and error
+prone.
+The symbolic representation is usually in the form of SymPy_ expressions,
+but the user may choose another symbolic back-end (see `sym <https://github.com/bjodah/sym>`_).
+In addition to deriving the Jacobian analytically the symbolic representation can for
+example apply row-reduce. This is usful for when you have a overdetermined system (
+formed from e.g. applying conservation laws) and want to solve the system by
+root-finding rather than using a least-square optimization of e.g. Levenberg-Marquardt
+style.
+Last, but not the least having a symbolic representation of your system of equations
+allows you to generate publication quality latex representations of your equations (through
+SymPy's latex printer) from a **single** source‒no more error prone hand-rewriting of the same
+equations in another format for presentation!
+
+%prep
+%autosetup -n pyneqsys-0.5.7
+
+%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-pyneqsys -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.7-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..9379e49
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+147ffe5e3f2822b138c049fa492ec39c  pyneqsys-0.5.7.tar.gz