%global _empty_manifest_terminate_build 0 Name: python-phasespace Version: 1.8.0 Release: 1 Summary: TensorFlow implementation of the Raubold and Lynch method for n-body events License: BSD-3-Clause URL: https://github.com/zfit/phasespace Source0: https://mirrors.aliyun.com/pypi/web/packages/a5/e6/3e733d43d3eb7a37c14ec987dc51bf81cf4e9d71e30fa811e35308af23af/phasespace-1.8.0.tar.gz BuildArch: noarch Requires: python3-tensorflow Requires: python3-tensorflow-probability Requires: python3-importlib-metadata Requires: python3-particle Requires: python3-zfit Requires: python3-zfit-physics Requires: python3-decaylanguage Requires: python3-graphviz Requires: python3-Sphinx Requires: python3-myst-nb Requires: python3-sphinx-bootstrap-theme Requires: python3-jupyter-sphinx Requires: python3-sphinx-math-dollar Requires: python3-awkward Requires: python3-coverage Requires: python3-flaky Requires: python3-matplotlib Requires: python3-nbval Requires: python3-numpy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-xdist Requires: python3-scipy Requires: python3-uproot Requires: python3-wget Requires: python3-bumpversion Requires: python3-pre-commit Requires: python3-twine Requires: python3-watchdog Requires: python3-particle Requires: python3-zfit Requires: python3-zfit-physics Requires: python3-decaylanguage Requires: python3-graphviz Requires: python3-Sphinx Requires: python3-myst-nb Requires: python3-sphinx-bootstrap-theme Requires: python3-jupyter-sphinx Requires: python3-sphinx-math-dollar Requires: python3-particle Requires: python3-zfit Requires: python3-zfit-physics Requires: python3-decaylanguage Requires: python3-tensorflow Requires: python3-tensorflow-probability Requires: python3-particle Requires: python3-zfit Requires: python3-zfit-physics Requires: python3-decaylanguage Requires: python3-awkward Requires: python3-coverage Requires: python3-flaky Requires: python3-matplotlib Requires: python3-nbval Requires: python3-numpy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-xdist Requires: python3-scipy Requires: python3-uproot Requires: python3-wget Requires: python3-tensorflow Requires: python3-tensorflow-probability %description Lately, data analysis in High Energy Physics (HEP), traditionally performed within the `ROOT`_ ecosystem, has been moving more and more towards Python. The possibility of carrying out purely Python-based analyses has become real thanks to the development of many open source Python packages, which have allowed to replace most ROOT functionality with Python-based packages. One of the aspects where this is still not possible is in the random generation of `n`-body phase space events, which are widely used in the field, for example to study kinematics of the particle decays of interest, or to perform importance sampling in the case of complex amplitude models. This has been traditionally done with the `TGenPhaseSpace`_ class, which is based of the GENBOD function of the CERNLIB FORTRAN libraries and which requires a full working ROOT installation. This package aims to address this issue by providing a TensorFlow-based implementation of such a function to generate `n`-body decays without requiring a ROOT installation. Additionally, an oft-needed functionality to generate complex decay chains, not included in ``TGenPhaseSpace``, is also offered, leaving room for decaying resonances (which don't have a fixed mass, but can be seen as a broad peak). %package -n python3-phasespace Summary: TensorFlow implementation of the Raubold and Lynch method for n-body events Provides: python-phasespace BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-phasespace Lately, data analysis in High Energy Physics (HEP), traditionally performed within the `ROOT`_ ecosystem, has been moving more and more towards Python. The possibility of carrying out purely Python-based analyses has become real thanks to the development of many open source Python packages, which have allowed to replace most ROOT functionality with Python-based packages. One of the aspects where this is still not possible is in the random generation of `n`-body phase space events, which are widely used in the field, for example to study kinematics of the particle decays of interest, or to perform importance sampling in the case of complex amplitude models. This has been traditionally done with the `TGenPhaseSpace`_ class, which is based of the GENBOD function of the CERNLIB FORTRAN libraries and which requires a full working ROOT installation. This package aims to address this issue by providing a TensorFlow-based implementation of such a function to generate `n`-body decays without requiring a ROOT installation. Additionally, an oft-needed functionality to generate complex decay chains, not included in ``TGenPhaseSpace``, is also offered, leaving room for decaying resonances (which don't have a fixed mass, but can be seen as a broad peak). %package help Summary: Development documents and examples for phasespace Provides: python3-phasespace-doc %description help Lately, data analysis in High Energy Physics (HEP), traditionally performed within the `ROOT`_ ecosystem, has been moving more and more towards Python. The possibility of carrying out purely Python-based analyses has become real thanks to the development of many open source Python packages, which have allowed to replace most ROOT functionality with Python-based packages. One of the aspects where this is still not possible is in the random generation of `n`-body phase space events, which are widely used in the field, for example to study kinematics of the particle decays of interest, or to perform importance sampling in the case of complex amplitude models. This has been traditionally done with the `TGenPhaseSpace`_ class, which is based of the GENBOD function of the CERNLIB FORTRAN libraries and which requires a full working ROOT installation. This package aims to address this issue by providing a TensorFlow-based implementation of such a function to generate `n`-body decays without requiring a ROOT installation. Additionally, an oft-needed functionality to generate complex decay chains, not included in ``TGenPhaseSpace``, is also offered, leaving room for decaying resonances (which don't have a fixed mass, but can be seen as a broad peak). %prep %autosetup -n phasespace-1.8.0 %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-phasespace -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 1.8.0-1 - Package Spec generated