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@@ -0,0 +1 @@ +/ARCCSSive-0.3.3.tar.gz diff --git a/python-arccssive.spec b/python-arccssive.spec new file mode 100644 index 0000000..f4a98c9 --- /dev/null +++ b/python-arccssive.spec @@ -0,0 +1,151 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ARCCSSive +Version: 0.3.3 +Release: 1 +Summary: ARCCSS Data Archive Tools +License: Apache Software License +URL: https://pypi.org/project/ARCCSSive/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/17/66/ee85c8036b9bbb55a0658a665c66ff365c25181364f640bc51effee77240/ARCCSSive-0.3.3.tar.gz +BuildArch: noarch + +Requires: python3-SQLAlchemy +Requires: python3-esgf-pyclient +Requires: python3-six +Requires: python3-mock +Requires: python3-pytest +Requires: python3-recommonmark +Requires: python3-sphinx + +%description +### Raijin +The stable version of ARCCSSive is available on Rajin in the `analysis27` Anaconda environment: + raijin $ module use /g/data3/hh5/public/modules + raijin $ module load conda/analysis27 +and is also available as a module: + raijin $ module use ~access/modules + raijin $ module load pythonlib/ARCCSSive +### NCI Virtual Desktops +NCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. For +details on how to use virtual desktops see http://vdi.nci.org.au/help +ARCCSSive can be accessed on VDI using the Anaconda environments: + vdi $ module use /g/data3/hh5/public/modules + vdi $ module load conda/analysis27 +### Local Install +You can install ARCCSSive locally using either Anaconda or Pip. You will need +to copy the database file from Raijin + $ pip install ARCCSSive + # or + $ conda install -c coecms arccssive + $ scp raijin:/g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db $PWD/cmip5.db + $ export CMIP5_DB=sqlite:///$PWD/cmip5.db +### Development Version +To install the current development version with a test database: + $ pip install --user git+https://github.com/coecms/ARCCSSive.git + $ export CMIP5_DB=sqlite:///$HOME/cmip5.db + +%package -n python3-ARCCSSive +Summary: ARCCSS Data Archive Tools +Provides: python-ARCCSSive +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-ARCCSSive +### Raijin +The stable version of ARCCSSive is available on Rajin in the `analysis27` Anaconda environment: + raijin $ module use /g/data3/hh5/public/modules + raijin $ module load conda/analysis27 +and is also available as a module: + raijin $ module use ~access/modules + raijin $ module load pythonlib/ARCCSSive +### NCI Virtual Desktops +NCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. For +details on how to use virtual desktops see http://vdi.nci.org.au/help +ARCCSSive can be accessed on VDI using the Anaconda environments: + vdi $ module use /g/data3/hh5/public/modules + vdi $ module load conda/analysis27 +### Local Install +You can install ARCCSSive locally using either Anaconda or Pip. You will need +to copy the database file from Raijin + $ pip install ARCCSSive + # or + $ conda install -c coecms arccssive + $ scp raijin:/g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db $PWD/cmip5.db + $ export CMIP5_DB=sqlite:///$PWD/cmip5.db +### Development Version +To install the current development version with a test database: + $ pip install --user git+https://github.com/coecms/ARCCSSive.git + $ export CMIP5_DB=sqlite:///$HOME/cmip5.db + +%package help +Summary: Development documents and examples for ARCCSSive +Provides: python3-ARCCSSive-doc +%description help +### Raijin +The stable version of ARCCSSive is available on Rajin in the `analysis27` Anaconda environment: + raijin $ module use /g/data3/hh5/public/modules + raijin $ module load conda/analysis27 +and is also available as a module: + raijin $ module use ~access/modules + raijin $ module load pythonlib/ARCCSSive +### NCI Virtual Desktops +NCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. For +details on how to use virtual desktops see http://vdi.nci.org.au/help +ARCCSSive can be accessed on VDI using the Anaconda environments: + vdi $ module use /g/data3/hh5/public/modules + vdi $ module load conda/analysis27 +### Local Install +You can install ARCCSSive locally using either Anaconda or Pip. You will need +to copy the database file from Raijin + $ pip install ARCCSSive + # or + $ conda install -c coecms arccssive + $ scp raijin:/g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db $PWD/cmip5.db + $ export CMIP5_DB=sqlite:///$PWD/cmip5.db +### Development Version +To install the current development version with a test database: + $ pip install --user git+https://github.com/coecms/ARCCSSive.git + $ export CMIP5_DB=sqlite:///$HOME/cmip5.db + +%prep +%autosetup -n ARCCSSive-0.3.3 + +%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-ARCCSSive -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.3-1 +- Package Spec generated @@ -0,0 +1 @@ +41cd3c126fbcba57b79df061b1fde4b5 ARCCSSive-0.3.3.tar.gz |