From 2cdd81fc04851f2b38c3edf26dd90ad84e433cd9 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 12:55:43 +0000 Subject: automatic import of python-pyodesys --- python-pyodesys.spec | 132 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 python-pyodesys.spec (limited to 'python-pyodesys.spec') diff --git a/python-pyodesys.spec b/python-pyodesys.spec new file mode 100644 index 0000000..8bb4594 --- /dev/null +++ b/python-pyodesys.spec @@ -0,0 +1,132 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pyodesys +Version: 0.14.2 +Release: 1 +Summary: Straightforward numerical integration of ODE systems from Python. +License: BSD +URL: https://github.com/bjodah/pyodesys +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/dc/4e/227dbb03fa5c305ff18c8ce29cd12cbdca01ea786e218a33f8b59adda818/pyodesys-0.14.2.tar.gz +BuildArch: noarch + + +%description +``pyodesys`` provides a straightforward way +of numerically integrating systems of ordinary differential equations (initial value problems). +It unifies the interface of several libraries for performing the numerical integration as well as +several libraries for symbolic representation. It also provides a convenience class for +representing and integrating ODE systems defined by symbolic expressions, e.g. `SymPy `_ +expressions. This allows the user to write concise code and rely on ``pyodesys`` to handle the subtle differences +between libraries. +The numerical integration is performed using either: +- `scipy.integrate.ode `_ +- pygslodeiv2_ +- pyodeint_ +- pycvodes_ +Note that implicit steppers require a user supplied callback for calculating the Jacobian. +``pyodesys.SymbolicSys`` derives the Jacobian automatically. +The symbolic representation is usually in the form of SymPy expressions, but the user may +choose another symbolic back-end (see `sym `_). +When performance is of utmost importance, e.g. in model fitting where results are needed +for a large set of initial conditions and parameters, the user may transparently +rely on compiled native code (classes in ``pyodesys.native.native_sys`` can generate optimal C++ code). +The major benefit is that there is no need to manually rewrite the corresponding expressions in another +programming language. + +%package -n python3-pyodesys +Summary: Straightforward numerical integration of ODE systems from Python. +Provides: python-pyodesys +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pyodesys +``pyodesys`` provides a straightforward way +of numerically integrating systems of ordinary differential equations (initial value problems). +It unifies the interface of several libraries for performing the numerical integration as well as +several libraries for symbolic representation. It also provides a convenience class for +representing and integrating ODE systems defined by symbolic expressions, e.g. `SymPy `_ +expressions. This allows the user to write concise code and rely on ``pyodesys`` to handle the subtle differences +between libraries. +The numerical integration is performed using either: +- `scipy.integrate.ode `_ +- pygslodeiv2_ +- pyodeint_ +- pycvodes_ +Note that implicit steppers require a user supplied callback for calculating the Jacobian. +``pyodesys.SymbolicSys`` derives the Jacobian automatically. +The symbolic representation is usually in the form of SymPy expressions, but the user may +choose another symbolic back-end (see `sym `_). +When performance is of utmost importance, e.g. in model fitting where results are needed +for a large set of initial conditions and parameters, the user may transparently +rely on compiled native code (classes in ``pyodesys.native.native_sys`` can generate optimal C++ code). +The major benefit is that there is no need to manually rewrite the corresponding expressions in another +programming language. + +%package help +Summary: Development documents and examples for pyodesys +Provides: python3-pyodesys-doc +%description help +``pyodesys`` provides a straightforward way +of numerically integrating systems of ordinary differential equations (initial value problems). +It unifies the interface of several libraries for performing the numerical integration as well as +several libraries for symbolic representation. It also provides a convenience class for +representing and integrating ODE systems defined by symbolic expressions, e.g. `SymPy `_ +expressions. This allows the user to write concise code and rely on ``pyodesys`` to handle the subtle differences +between libraries. +The numerical integration is performed using either: +- `scipy.integrate.ode `_ +- pygslodeiv2_ +- pyodeint_ +- pycvodes_ +Note that implicit steppers require a user supplied callback for calculating the Jacobian. +``pyodesys.SymbolicSys`` derives the Jacobian automatically. +The symbolic representation is usually in the form of SymPy expressions, but the user may +choose another symbolic back-end (see `sym `_). +When performance is of utmost importance, e.g. in model fitting where results are needed +for a large set of initial conditions and parameters, the user may transparently +rely on compiled native code (classes in ``pyodesys.native.native_sys`` can generate optimal C++ code). +The major benefit is that there is no need to manually rewrite the corresponding expressions in another +programming language. + +%prep +%autosetup -n pyodesys-0.14.2 + +%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-pyodesys -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 0.14.2-1 +- Package Spec generated -- cgit v1.2.3