From 0c1e5320c61b4297724ec4a4df6ffee95b71d606 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 12 Apr 2023 00:13:36 +0000 Subject: automatic import of python-greykite --- .gitignore | 1 + python-greykite.spec | 119 +++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 121 insertions(+) create mode 100644 python-greykite.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..e7c6294 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/greykite-0.5.0.tar.gz diff --git a/python-greykite.spec b/python-greykite.spec new file mode 100644 index 0000000..aa3ed59 --- /dev/null +++ b/python-greykite.spec @@ -0,0 +1,119 @@ +%global _empty_manifest_terminate_build 0 +Name: python-greykite +Version: 0.5.0 +Release: 1 +Summary: A python package for flexible forecasting +License: BSD-2-CLAUSE +URL: https://github.com/linkedin/greykite +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4c/a9/2bcbcc31b4db440490d0be818fb0cc4b598a116bff1339f76b4eeed03264/greykite-0.5.0.tar.gz +BuildArch: noarch + +Requires: python3-cvxpy +Requires: python3-dill +Requires: python3-holidays-ext +Requires: python3-ipython +Requires: python3-matplotlib +Requires: python3-numpy +Requires: python3-osqp +Requires: python3-overrides +Requires: python3-pandas +Requires: python3-patsy +Requires: python3-plotly +Requires: python3-pmdarima +Requires: python3-pytest +Requires: python3-pytest-runner +Requires: python3-scipy +Requires: python3-six +Requires: python3-scikit-learn +Requires: python3-statsmodels +Requires: python3-testfixtures +Requires: python3-tqdm + +%description +The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite. +Silverkite algorithm works well on most time series, and is especially adept for those with changepoints in trend or seasonality, +event/holiday effects, and temporal dependencies. +Its forecasts are interpretable and therefore useful for trusted decision-making and insights. +The Greykite library provides a framework that makes it easy to develop a good forecast model, +with exploratory data analysis, outlier/anomaly preprocessing, feature extraction and engineering, grid search, +evaluation, benchmarking, and plotting. +Other open source algorithms can be supported through Greykite’s interface to take advantage of this framework, +as listed below. +For a demo, please see our `quickstart `_. + +%package -n python3-greykite +Summary: A python package for flexible forecasting +Provides: python-greykite +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-greykite +The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite. +Silverkite algorithm works well on most time series, and is especially adept for those with changepoints in trend or seasonality, +event/holiday effects, and temporal dependencies. +Its forecasts are interpretable and therefore useful for trusted decision-making and insights. +The Greykite library provides a framework that makes it easy to develop a good forecast model, +with exploratory data analysis, outlier/anomaly preprocessing, feature extraction and engineering, grid search, +evaluation, benchmarking, and plotting. +Other open source algorithms can be supported through Greykite’s interface to take advantage of this framework, +as listed below. +For a demo, please see our `quickstart `_. + +%package help +Summary: Development documents and examples for greykite +Provides: python3-greykite-doc +%description help +The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite. +Silverkite algorithm works well on most time series, and is especially adept for those with changepoints in trend or seasonality, +event/holiday effects, and temporal dependencies. +Its forecasts are interpretable and therefore useful for trusted decision-making and insights. +The Greykite library provides a framework that makes it easy to develop a good forecast model, +with exploratory data analysis, outlier/anomaly preprocessing, feature extraction and engineering, grid search, +evaluation, benchmarking, and plotting. +Other open source algorithms can be supported through Greykite’s interface to take advantage of this framework, +as listed below. +For a demo, please see our `quickstart `_. + +%prep +%autosetup -n greykite-0.5.0 + +%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-greykite -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot - 0.5.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..e0540ed --- /dev/null +++ b/sources @@ -0,0 +1 @@ +5704e3b3c8c2e825ae3dd49b931e0cd6 greykite-0.5.0.tar.gz -- cgit v1.2.3