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|
%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
[](https://travis-ci.com/pkomiske/EnergyFlow)
[](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
[](https://travis-ci.com/pkomiske/EnergyFlow)
[](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
[](https://travis-ci.com/pkomiske/EnergyFlow)
[](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 <Python_Bot@openeuler.org> - 1.3.2-1
- Package Spec generated
|
