%global _empty_manifest_terminate_build 0 Name: python-abipy Version: 0.9.3 Release: 1 Summary: Python package to automate ABINIT calculations and analyze the results. License: GPL URL: https://github.com/abinit/abipy Source0: https://mirrors.aliyun.com/pypi/web/packages/cc/56/b230fcdb251fa2d8f57db5b73b1812aa1cfff62064359e78286c3134517a/abipy-0.9.3.tar.gz BuildArch: noarch Requires: python3-monty Requires: python3-tabulate Requires: python3-apscheduler Requires: python3-pydispatcher Requires: python3-tqdm Requires: python3-pyyaml Requires: python3-pandas Requires: python3-numpy Requires: python3-scipy Requires: python3-spglib Requires: python3-pymatgen Requires: python3-netCDF4 Requires: python3-matplotlib Requires: python3-seaborn Requires: python3-plotly Requires: python3-ipython Requires: python3-chart-studio %description AbiPy is a Python library to analyze the results produced by `ABINIT `_, an open-source program for the ab-initio calculations of the physical properties of materials within Density Functional Theory and Many-Body perturbation theory. AbiPy also provides tools to generate input files and workflows to automate ab-initio calculations and typical convergence studies. AbiPy is interfaced with `Pymatgen `_ allowing users to benefit from the different tools and python objects available in the pymatgen ecosystem. The official documentation is hosted on `github pages `_. AbiPy can be used in conjunction with `matplotlib `_, `pandas `_, `ipython `_ and `jupyter `_ thus providing a powerful and user-friendly environment for data analysis and visualization. Check out our `gallery of plotting scripts `_ and the `gallery of AbiPy workflows `_. To learn more about the integration between jupyter and AbiPy, visit our collection of `notebooks `_ and the `AbiPy lessons `_. The latest development version is always available from %package -n python3-abipy Summary: Python package to automate ABINIT calculations and analyze the results. Provides: python-abipy BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-abipy AbiPy is a Python library to analyze the results produced by `ABINIT `_, an open-source program for the ab-initio calculations of the physical properties of materials within Density Functional Theory and Many-Body perturbation theory. AbiPy also provides tools to generate input files and workflows to automate ab-initio calculations and typical convergence studies. AbiPy is interfaced with `Pymatgen `_ allowing users to benefit from the different tools and python objects available in the pymatgen ecosystem. The official documentation is hosted on `github pages `_. AbiPy can be used in conjunction with `matplotlib `_, `pandas `_, `ipython `_ and `jupyter `_ thus providing a powerful and user-friendly environment for data analysis and visualization. Check out our `gallery of plotting scripts `_ and the `gallery of AbiPy workflows `_. To learn more about the integration between jupyter and AbiPy, visit our collection of `notebooks `_ and the `AbiPy lessons `_. The latest development version is always available from %package help Summary: Development documents and examples for abipy Provides: python3-abipy-doc %description help AbiPy is a Python library to analyze the results produced by `ABINIT `_, an open-source program for the ab-initio calculations of the physical properties of materials within Density Functional Theory and Many-Body perturbation theory. AbiPy also provides tools to generate input files and workflows to automate ab-initio calculations and typical convergence studies. AbiPy is interfaced with `Pymatgen `_ allowing users to benefit from the different tools and python objects available in the pymatgen ecosystem. The official documentation is hosted on `github pages `_. AbiPy can be used in conjunction with `matplotlib `_, `pandas `_, `ipython `_ and `jupyter `_ thus providing a powerful and user-friendly environment for data analysis and visualization. Check out our `gallery of plotting scripts `_ and the `gallery of AbiPy workflows `_. To learn more about the integration between jupyter and AbiPy, visit our collection of `notebooks `_ and the `AbiPy lessons `_. The latest development version is always available from %prep %autosetup -n abipy-0.9.3 %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-abipy -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 0.9.3-1 - Package Spec generated