From 28fc6275930e32428c7305362be88eab23f9ecdc Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 10 Apr 2023 13:38:03 +0000 Subject: automatic import of python-lifelines --- .gitignore | 1 + python-lifelines.spec | 175 ++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 177 insertions(+) create mode 100644 python-lifelines.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..7871d26 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/lifelines-0.27.4.tar.gz diff --git a/python-lifelines.spec b/python-lifelines.spec new file mode 100644 index 0000000..99e3c13 --- /dev/null +++ b/python-lifelines.spec @@ -0,0 +1,175 @@ +%global _empty_manifest_terminate_build 0 +Name: python-lifelines +Version: 0.27.4 +Release: 1 +Summary: Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression +License: MIT +URL: https://github.com/CamDavidsonPilon/lifelines +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c8/c4/0b6a0d2d72a26a65e14a088e8f5f35efcbcf0589310b75f5abd63b7c0a97/lifelines-0.27.4.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-autograd +Requires: python3-autograd-gamma +Requires: python3-formulaic + +%description +![](http://i.imgur.com/EOowdSD.png) + +[![PyPI version](https://badge.fury.io/py/lifelines.svg)](https://badge.fury.io/py/lifelines) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lifelines/badges/version.svg +)](https://conda.anaconda.org/conda-forge) +[![DOI](https://zenodo.org/badge/12420595.svg)](https://zenodo.org/badge/latestdoi/12420595) + + +[What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html) + Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?* + +But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example: +- SaaS providers are interested in measuring subscriber lifetimes, or time to some first action +- inventory stock out is a censoring event for true "demand" of a good. +- sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages +- A/B tests to determine how long it takes different groups to perform an action. + +*lifelines* is a pure Python implementation of the best parts of survival analysis. + + +## Documentation and intro to survival analysis + +If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html) + +## Contact + - Start a conversation in our [Discussions room](https://github.com/CamDavidsonPilon/lifelines/discussions). + - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion) + - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines). + +## Development + +See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/.github/CONTRIBUTING.md) guidelines. + + +%package -n python3-lifelines +Summary: Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression +Provides: python-lifelines +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-lifelines +![](http://i.imgur.com/EOowdSD.png) + +[![PyPI version](https://badge.fury.io/py/lifelines.svg)](https://badge.fury.io/py/lifelines) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lifelines/badges/version.svg +)](https://conda.anaconda.org/conda-forge) +[![DOI](https://zenodo.org/badge/12420595.svg)](https://zenodo.org/badge/latestdoi/12420595) + + +[What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html) + Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?* + +But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example: +- SaaS providers are interested in measuring subscriber lifetimes, or time to some first action +- inventory stock out is a censoring event for true "demand" of a good. +- sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages +- A/B tests to determine how long it takes different groups to perform an action. + +*lifelines* is a pure Python implementation of the best parts of survival analysis. + + +## Documentation and intro to survival analysis + +If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html) + +## Contact + - Start a conversation in our [Discussions room](https://github.com/CamDavidsonPilon/lifelines/discussions). + - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion) + - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines). + +## Development + +See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/.github/CONTRIBUTING.md) guidelines. + + +%package help +Summary: Development documents and examples for lifelines +Provides: python3-lifelines-doc +%description help +![](http://i.imgur.com/EOowdSD.png) + +[![PyPI version](https://badge.fury.io/py/lifelines.svg)](https://badge.fury.io/py/lifelines) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/lifelines/badges/version.svg +)](https://conda.anaconda.org/conda-forge) +[![DOI](https://zenodo.org/badge/12420595.svg)](https://zenodo.org/badge/latestdoi/12420595) + + +[What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html) + Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?* + +But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example: +- SaaS providers are interested in measuring subscriber lifetimes, or time to some first action +- inventory stock out is a censoring event for true "demand" of a good. +- sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages +- A/B tests to determine how long it takes different groups to perform an action. + +*lifelines* is a pure Python implementation of the best parts of survival analysis. + + +## Documentation and intro to survival analysis + +If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html) + +## Contact + - Start a conversation in our [Discussions room](https://github.com/CamDavidsonPilon/lifelines/discussions). + - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion) + - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines). + +## Development + +See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/.github/CONTRIBUTING.md) guidelines. + + +%prep +%autosetup -n lifelines-0.27.4 + +%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-lifelines -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot - 0.27.4-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..4a0acba --- /dev/null +++ b/sources @@ -0,0 +1 @@ +7181120ad5ae164f3e5943d977dd5060 lifelines-0.27.4.tar.gz -- cgit v1.2.3