%global _empty_manifest_terminate_build 0 Name: python-EnergyFlow Version: 1.3.2 Release: 1 Summary: Python package for the Energy Flow suite of particle physics tools License: GPL-3.0 URL: https://energyflow.network Source0: https://mirrors.nju.edu.cn/pypi/web/packages/52/16/480dc9c3548b61781424b0f30fa4fd7b788a266b3dbb02ce6e925fd34f61/EnergyFlow-1.3.2.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-six Requires: python3-h5py Requires: python3-wasserstein Requires: python3-igraph Requires: python3-tensorflow Requires: python3-scikit-learn Requires: python3-tensorflow Requires: python3-scikit-learn Requires: python3-tensorflow Requires: python3-scikit-learn Requires: python3-matplotlib Requires: python3-igraph Requires: python3-pot Requires: python3-pytest Requires: python3-igraph Requires: python3-tensorflow Requires: python3-scikit-learn %description # EnergyFlow [![Build Status](https://travis-ci.com/pkomiske/EnergyFlow.svg?branch=master)](https://travis-ci.com/pkomiske/EnergyFlow) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pkomiske/EnergyFlow/master) EnergyFlow is a Python package that computes Energy Flow Polynomials (EFPs) as defined in Ref. [1], implements Energy Flow Networks (EFNs) and Particle Flow Networks (PFNs) as defined in Ref. [2], computes Energy Mover's Distances as defined in Ref. [3], and provides access to some particle physics [datasets hosted on Zenodo](https://zenodo.org/search?page=1&size=20&q=komiske&sort=title) including the jet datasets in MOD HDF5 format used in Ref. [4]. #### Installation To install EnergyFlow with pip, simply execute: ```sh pip3 install energyflow ``` #### Documentation The documentation is maintained at [https://energyflow.network](https://energyflow.network). ##### References [1] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Polynomials: A complete linear basis for jet substructure_, [JHEP __04__ (2018) 013](https://doi.org/10.1007/JHEP04(2018)013) [[1712.07124](https://arxiv.org/abs/1712.07124)]. [2] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Networks: Deep Sets for Particle Jets_, [JHEP __01__ (2019) 121](https://doi.org/10.1007/JHEP01(2019)121) [[1810.05165](https://arxiv.org/abs/1810.05165)]. [3] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Metric Space of Collider Events_, [Phys. Rev. Lett. __123__ (2019) 041801](https://doi.org/10.1103/PhysRevLett.123.041801) [[1902.02346](https://arxiv.org/abs/1902.02346)]. [4] P. T. Komiske, R. Mastandrea, E. M. Metodiev, P. Naik, and J. Thaler, _Exploring the Space of Jets with CMS Open Data_, [Phys. Rev. D **101** (2020) 034009](https://doi.org/10.1103/PhysRevD.101.034009) [[1908.08542](https://arxiv.org/abs/1908.08542)]. [5] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Cutting Multiparticle Correlators Down to Size_, [Phys. Rev. D **101** (2020) 036019](https://doi.org/10.1103/PhysRevD.101.036019) [[1911.04491](https://arxiv.org/abs/1911.04491)]. [6] A. Andreassen, P. T. Komiske, E. M. Metodiev, B. Nachman, and J. Thaler, _OmniFold: A Method to Simultaneously Unfold All Observables_, [Phys. Rev. Lett. __124__ (2020) 182001](https://doi.org/10.1103/PhysRevLett.124.182001) [[1911.09107](https://arxiv.org/abs/1911.09107)]. [7] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Hidden Geometry of Particle Collisions_, [JHEP __07__ (2020) 006](https://doi.org/10.1007/JHEP07(2020)006) [[2004.04159](https://arxiv.org/abs/2004.04159)]. %package -n python3-EnergyFlow Summary: Python package for the Energy Flow suite of particle physics tools Provides: python-EnergyFlow BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-EnergyFlow # EnergyFlow [![Build Status](https://travis-ci.com/pkomiske/EnergyFlow.svg?branch=master)](https://travis-ci.com/pkomiske/EnergyFlow) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pkomiske/EnergyFlow/master) EnergyFlow is a Python package that computes Energy Flow Polynomials (EFPs) as defined in Ref. [1], implements Energy Flow Networks (EFNs) and Particle Flow Networks (PFNs) as defined in Ref. [2], computes Energy Mover's Distances as defined in Ref. [3], and provides access to some particle physics [datasets hosted on Zenodo](https://zenodo.org/search?page=1&size=20&q=komiske&sort=title) including the jet datasets in MOD HDF5 format used in Ref. [4]. #### Installation To install EnergyFlow with pip, simply execute: ```sh pip3 install energyflow ``` #### Documentation The documentation is maintained at [https://energyflow.network](https://energyflow.network). ##### References [1] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Polynomials: A complete linear basis for jet substructure_, [JHEP __04__ (2018) 013](https://doi.org/10.1007/JHEP04(2018)013) [[1712.07124](https://arxiv.org/abs/1712.07124)]. [2] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Networks: Deep Sets for Particle Jets_, [JHEP __01__ (2019) 121](https://doi.org/10.1007/JHEP01(2019)121) [[1810.05165](https://arxiv.org/abs/1810.05165)]. [3] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Metric Space of Collider Events_, [Phys. Rev. Lett. __123__ (2019) 041801](https://doi.org/10.1103/PhysRevLett.123.041801) [[1902.02346](https://arxiv.org/abs/1902.02346)]. [4] P. T. Komiske, R. Mastandrea, E. M. Metodiev, P. Naik, and J. Thaler, _Exploring the Space of Jets with CMS Open Data_, [Phys. Rev. D **101** (2020) 034009](https://doi.org/10.1103/PhysRevD.101.034009) [[1908.08542](https://arxiv.org/abs/1908.08542)]. [5] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Cutting Multiparticle Correlators Down to Size_, [Phys. Rev. D **101** (2020) 036019](https://doi.org/10.1103/PhysRevD.101.036019) [[1911.04491](https://arxiv.org/abs/1911.04491)]. [6] A. Andreassen, P. T. Komiske, E. M. Metodiev, B. Nachman, and J. Thaler, _OmniFold: A Method to Simultaneously Unfold All Observables_, [Phys. Rev. Lett. __124__ (2020) 182001](https://doi.org/10.1103/PhysRevLett.124.182001) [[1911.09107](https://arxiv.org/abs/1911.09107)]. [7] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Hidden Geometry of Particle Collisions_, [JHEP __07__ (2020) 006](https://doi.org/10.1007/JHEP07(2020)006) [[2004.04159](https://arxiv.org/abs/2004.04159)]. %package help Summary: Development documents and examples for EnergyFlow Provides: python3-EnergyFlow-doc %description help # EnergyFlow [![Build Status](https://travis-ci.com/pkomiske/EnergyFlow.svg?branch=master)](https://travis-ci.com/pkomiske/EnergyFlow) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pkomiske/EnergyFlow/master) EnergyFlow is a Python package that computes Energy Flow Polynomials (EFPs) as defined in Ref. [1], implements Energy Flow Networks (EFNs) and Particle Flow Networks (PFNs) as defined in Ref. [2], computes Energy Mover's Distances as defined in Ref. [3], and provides access to some particle physics [datasets hosted on Zenodo](https://zenodo.org/search?page=1&size=20&q=komiske&sort=title) including the jet datasets in MOD HDF5 format used in Ref. [4]. #### Installation To install EnergyFlow with pip, simply execute: ```sh pip3 install energyflow ``` #### Documentation The documentation is maintained at [https://energyflow.network](https://energyflow.network). ##### References [1] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Polynomials: A complete linear basis for jet substructure_, [JHEP __04__ (2018) 013](https://doi.org/10.1007/JHEP04(2018)013) [[1712.07124](https://arxiv.org/abs/1712.07124)]. [2] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Energy Flow Networks: Deep Sets for Particle Jets_, [JHEP __01__ (2019) 121](https://doi.org/10.1007/JHEP01(2019)121) [[1810.05165](https://arxiv.org/abs/1810.05165)]. [3] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Metric Space of Collider Events_, [Phys. Rev. Lett. __123__ (2019) 041801](https://doi.org/10.1103/PhysRevLett.123.041801) [[1902.02346](https://arxiv.org/abs/1902.02346)]. [4] P. T. Komiske, R. Mastandrea, E. M. Metodiev, P. Naik, and J. Thaler, _Exploring the Space of Jets with CMS Open Data_, [Phys. Rev. D **101** (2020) 034009](https://doi.org/10.1103/PhysRevD.101.034009) [[1908.08542](https://arxiv.org/abs/1908.08542)]. [5] P. T. Komiske, E. M. Metodiev, and J. Thaler, _Cutting Multiparticle Correlators Down to Size_, [Phys. Rev. D **101** (2020) 036019](https://doi.org/10.1103/PhysRevD.101.036019) [[1911.04491](https://arxiv.org/abs/1911.04491)]. [6] A. Andreassen, P. T. Komiske, E. M. Metodiev, B. Nachman, and J. Thaler, _OmniFold: A Method to Simultaneously Unfold All Observables_, [Phys. Rev. Lett. __124__ (2020) 182001](https://doi.org/10.1103/PhysRevLett.124.182001) [[1911.09107](https://arxiv.org/abs/1911.09107)]. [7] P. T. Komiske, E. M. Metodiev, and J. Thaler, _The Hidden Geometry of Particle Collisions_, [JHEP __07__ (2020) 006](https://doi.org/10.1007/JHEP07(2020)006) [[2004.04159](https://arxiv.org/abs/2004.04159)]. %prep %autosetup -n EnergyFlow-1.3.2 %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-EnergyFlow -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.3.2-1 - Package Spec generated