automatic import of python-lifelines

3 files changed, 177 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/lifelines-0.27.4.tar.gz
diff --git a/python-lifelines.spec b/python-lifelines.spec
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+%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 <Python_Bot@openeuler.org> - 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