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author | CoprDistGit <infra@openeuler.org> | 2023-05-05 06:08:58 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-05-05 06:08:58 +0000 |
commit | 6315e249883d8168c5dabc788b4a305c7af30d2b (patch) | |
tree | f09001bc16db8e178cf42b89b0250f17315fad79 | |
parent | efe4a97c4ed65907d36131c5c6561df41d365217 (diff) |
automatic import of python-energyflowopeneuler20.03
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-energyflow.spec | 192 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 194 insertions, 0 deletions
@@ -0,0 +1 @@ +/EnergyFlow-1.3.2.tar.gz diff --git a/python-energyflow.spec b/python-energyflow.spec new file mode 100644 index 0000000..6323d5c --- /dev/null +++ b/python-energyflow.spec @@ -0,0 +1,192 @@ +%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 @@ -0,0 +1 @@ +2a3b334ac569c0dc86ff13d878e434ee EnergyFlow-1.3.2.tar.gz |