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diff --git a/python-spacegrids.spec b/python-spacegrids.spec new file mode 100644 index 0000000..131f6b9 --- /dev/null +++ b/python-spacegrids.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-spacegrids +Version: 1.9 +Release: 1 +Summary: numpy array with grids and associated operations +License: BSD +URL: https://github.com/willo12/spacegrids +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/27/2f/ae92422f65f2c76c9c9a5fcdaff39df466b7d223f241eb6ddfda50ca2238/spacegrids-1.9.tar.gz +BuildArch: noarch + + +%description +Spacegrids is an open source library providing a Numpy array with grids, labelled axes and associated grid-related mathematical methods such as regridding and integration. Spacegrids provides an object data model of Netcdf data that ensures consistency between a Numpy data array and its grid under common operations (and so avoiding common pitfalls related to axis interpretation), and much more. It is a write less do more library for everyday use. +These `interactive plots from Netcdf data <https://willospace.pythonanywhere.com/>`_ are based on Spacegrids. +The Field, Gr (grid) and Coord objects make everyday use easy: + >>> import spacegrids as sg + >>> D = sg.info(nonick = True) + >>> P = sgPproject(D['my_project'] , nonick = True) + >>> P.load(['temperature','u']) + >>> # obtain the axes objects under their names T,X,Y,Z: + >>> for c in P['some_experiment'].axes: + >>> exec c.name + ' = c' # now we can refer to X,Y + >>> TEMP = P['some_experiment']['temperature'] + >>> U = P['some_experiment']['u'] # zonal velocity + >>> TEMP_sliced = TEMP[Y,:50] # slice. Note Y axis object + >>> m_TEMP = TEMP_sliced/(X*Y) # take hor. mean + >>> TEMP_regridded = TEMP.regrid(U.gr) # U grid differs + +%package -n python3-spacegrids +Summary: numpy array with grids and associated operations +Provides: python-spacegrids +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-spacegrids +Spacegrids is an open source library providing a Numpy array with grids, labelled axes and associated grid-related mathematical methods such as regridding and integration. Spacegrids provides an object data model of Netcdf data that ensures consistency between a Numpy data array and its grid under common operations (and so avoiding common pitfalls related to axis interpretation), and much more. It is a write less do more library for everyday use. +These `interactive plots from Netcdf data <https://willospace.pythonanywhere.com/>`_ are based on Spacegrids. +The Field, Gr (grid) and Coord objects make everyday use easy: + >>> import spacegrids as sg + >>> D = sg.info(nonick = True) + >>> P = sgPproject(D['my_project'] , nonick = True) + >>> P.load(['temperature','u']) + >>> # obtain the axes objects under their names T,X,Y,Z: + >>> for c in P['some_experiment'].axes: + >>> exec c.name + ' = c' # now we can refer to X,Y + >>> TEMP = P['some_experiment']['temperature'] + >>> U = P['some_experiment']['u'] # zonal velocity + >>> TEMP_sliced = TEMP[Y,:50] # slice. Note Y axis object + >>> m_TEMP = TEMP_sliced/(X*Y) # take hor. mean + >>> TEMP_regridded = TEMP.regrid(U.gr) # U grid differs + +%package help +Summary: Development documents and examples for spacegrids +Provides: python3-spacegrids-doc +%description help +Spacegrids is an open source library providing a Numpy array with grids, labelled axes and associated grid-related mathematical methods such as regridding and integration. Spacegrids provides an object data model of Netcdf data that ensures consistency between a Numpy data array and its grid under common operations (and so avoiding common pitfalls related to axis interpretation), and much more. It is a write less do more library for everyday use. +These `interactive plots from Netcdf data <https://willospace.pythonanywhere.com/>`_ are based on Spacegrids. +The Field, Gr (grid) and Coord objects make everyday use easy: + >>> import spacegrids as sg + >>> D = sg.info(nonick = True) + >>> P = sgPproject(D['my_project'] , nonick = True) + >>> P.load(['temperature','u']) + >>> # obtain the axes objects under their names T,X,Y,Z: + >>> for c in P['some_experiment'].axes: + >>> exec c.name + ' = c' # now we can refer to X,Y + >>> TEMP = P['some_experiment']['temperature'] + >>> U = P['some_experiment']['u'] # zonal velocity + >>> TEMP_sliced = TEMP[Y,:50] # slice. Note Y axis object + >>> m_TEMP = TEMP_sliced/(X*Y) # take hor. mean + >>> TEMP_regridded = TEMP.regrid(U.gr) # U grid differs + +%prep +%autosetup -n spacegrids-1.9 + +%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-spacegrids -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 1.9-1 +- Package Spec generated |