%global _empty_manifest_terminate_build 0 Name: python-alphatwirl Version: 0.30.0 Release: 1 Summary: A Python library for summarizing event data License: BSD License URL: https://github.com/alphatwirl/alphatwirl Source0: https://mirrors.nju.edu.cn/pypi/web/packages/af/ab/f12aeb7b1047d5edfca937668bb178f329c9f20bd5ce1b1b8015a716e224/alphatwirl-0.30.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-atpbar Requires: python3-mantichora %description A Python library for summarizing event data into multivariate categorical data ### Description _AlphaTwirl_ is a Python library that summarizes event data into multivariate categorical data as data frames. Event data, input to AlphaTwirl, are data with one entry (or row) for one event: for example, data in [ROOT](https://root.cern.ch/) [TTrees](https://root.cern.ch/doc/master/classTTree.html) with one entry per collision event of an [LHC](https://home.cern/topics/large-hadron-collider) experiment at [CERN](http://home.cern/). Event data are often large—too large to be loaded in memory—because they have as many entries as events. Multivariate categorical data, the output of AlphaTwirl, have one row for one category. They are usually small—small enough to be loaded in memory—because they only have as many rows as categories. Users can, for example, import them as data frames into [R](https://www.r-project.org/) and [pandas](http://pandas.pydata.org/), which usually load all data in memory, and can perform categorical data analyses with a rich set of data operations available in R and pandas. **** ### Quick start - Jupyter Notebook: [*Quick start of AlphaTwirl*](https://github.com/alphatwirl/notebook-tutorial-2019-02)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/alphatwirl/notebook-tutorial-2019-02/master?filepath=tutorial_01.ipynb) **** ### Publication - Tai Sakuma, *"AlphaTwirl: A Python library for summarizing event data into multivariate categorical data"*, EPJ Web of Conferences **214**, 02001 (2019), [doi:10.1051/epjconf/201921402001](https://doi.org/10.1051/epjconf/201921402001), [1905.06609](https://arxiv.org/abs/1905.06609) **** ### License - AlphaTwirl is licensed under the BSD license. ***** ### Contact - Tai Sakuma - tai.sakuma@gmail.com %package -n python3-alphatwirl Summary: A Python library for summarizing event data Provides: python-alphatwirl BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-alphatwirl A Python library for summarizing event data into multivariate categorical data ### Description _AlphaTwirl_ is a Python library that summarizes event data into multivariate categorical data as data frames. Event data, input to AlphaTwirl, are data with one entry (or row) for one event: for example, data in [ROOT](https://root.cern.ch/) [TTrees](https://root.cern.ch/doc/master/classTTree.html) with one entry per collision event of an [LHC](https://home.cern/topics/large-hadron-collider) experiment at [CERN](http://home.cern/). Event data are often large—too large to be loaded in memory—because they have as many entries as events. Multivariate categorical data, the output of AlphaTwirl, have one row for one category. They are usually small—small enough to be loaded in memory—because they only have as many rows as categories. Users can, for example, import them as data frames into [R](https://www.r-project.org/) and [pandas](http://pandas.pydata.org/), which usually load all data in memory, and can perform categorical data analyses with a rich set of data operations available in R and pandas. **** ### Quick start - Jupyter Notebook: [*Quick start of AlphaTwirl*](https://github.com/alphatwirl/notebook-tutorial-2019-02)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/alphatwirl/notebook-tutorial-2019-02/master?filepath=tutorial_01.ipynb) **** ### Publication - Tai Sakuma, *"AlphaTwirl: A Python library for summarizing event data into multivariate categorical data"*, EPJ Web of Conferences **214**, 02001 (2019), [doi:10.1051/epjconf/201921402001](https://doi.org/10.1051/epjconf/201921402001), [1905.06609](https://arxiv.org/abs/1905.06609) **** ### License - AlphaTwirl is licensed under the BSD license. ***** ### Contact - Tai Sakuma - tai.sakuma@gmail.com %package help Summary: Development documents and examples for alphatwirl Provides: python3-alphatwirl-doc %description help A Python library for summarizing event data into multivariate categorical data ### Description _AlphaTwirl_ is a Python library that summarizes event data into multivariate categorical data as data frames. Event data, input to AlphaTwirl, are data with one entry (or row) for one event: for example, data in [ROOT](https://root.cern.ch/) [TTrees](https://root.cern.ch/doc/master/classTTree.html) with one entry per collision event of an [LHC](https://home.cern/topics/large-hadron-collider) experiment at [CERN](http://home.cern/). Event data are often large—too large to be loaded in memory—because they have as many entries as events. Multivariate categorical data, the output of AlphaTwirl, have one row for one category. They are usually small—small enough to be loaded in memory—because they only have as many rows as categories. Users can, for example, import them as data frames into [R](https://www.r-project.org/) and [pandas](http://pandas.pydata.org/), which usually load all data in memory, and can perform categorical data analyses with a rich set of data operations available in R and pandas. **** ### Quick start - Jupyter Notebook: [*Quick start of AlphaTwirl*](https://github.com/alphatwirl/notebook-tutorial-2019-02)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/alphatwirl/notebook-tutorial-2019-02/master?filepath=tutorial_01.ipynb) **** ### Publication - Tai Sakuma, *"AlphaTwirl: A Python library for summarizing event data into multivariate categorical data"*, EPJ Web of Conferences **214**, 02001 (2019), [doi:10.1051/epjconf/201921402001](https://doi.org/10.1051/epjconf/201921402001), [1905.06609](https://arxiv.org/abs/1905.06609) **** ### License - AlphaTwirl is licensed under the BSD license. ***** ### Contact - Tai Sakuma - tai.sakuma@gmail.com %prep %autosetup -n alphatwirl-0.30.0 %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-alphatwirl -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.30.0-1 - Package Spec generated