From a7e7157e3ca9a13d97c43bb2df7dc5731f4818c0 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Wed, 31 May 2023 04:13:35 +0000
Subject: automatic import of python-loess

---
 python-loess.spec | 87 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 python-loess.spec

(limited to 'python-loess.spec')

diff --git a/python-loess.spec b/python-loess.spec
new file mode 100644
index 0000000..2d8fdd1
--- /dev/null
+++ b/python-loess.spec
@@ -0,0 +1,87 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-loess
+Version:	2.1.2
+Release:	1
+Summary:	LOESS: smoothing via robust locally-weighted regression in one or two dimensions
+License:	Other/Proprietary License
+URL:		https://purl.org/cappellari/software
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/0f/18/2daac4f54c05aead16729a3e505e227fbedd140746c04eaeecd5e33f6c53/loess-2.1.2.tar.gz
+BuildArch:	noarch
+
+
+%description
+**Smoothing via robust locally-weighted regression in one or two dimensions**
+LOESS is the Python implementation by `Cappellari et al. (2013)
+<https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.1862C>`_ of the
+algorithm by `Cleveland (1979) <https://doi.org/10.2307/2286407>`_
+for the one-dimensional case and `Cleveland & Devlin (1988)
+<https://doi.org/10.2307/2289282>`_ for the two-dimensional case.
+
+%package -n python3-loess
+Summary:	LOESS: smoothing via robust locally-weighted regression in one or two dimensions
+Provides:	python-loess
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-loess
+**Smoothing via robust locally-weighted regression in one or two dimensions**
+LOESS is the Python implementation by `Cappellari et al. (2013)
+<https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.1862C>`_ of the
+algorithm by `Cleveland (1979) <https://doi.org/10.2307/2286407>`_
+for the one-dimensional case and `Cleveland & Devlin (1988)
+<https://doi.org/10.2307/2289282>`_ for the two-dimensional case.
+
+%package help
+Summary:	Development documents and examples for loess
+Provides:	python3-loess-doc
+%description help
+**Smoothing via robust locally-weighted regression in one or two dimensions**
+LOESS is the Python implementation by `Cappellari et al. (2013)
+<https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.1862C>`_ of the
+algorithm by `Cleveland (1979) <https://doi.org/10.2307/2286407>`_
+for the one-dimensional case and `Cleveland & Devlin (1988)
+<https://doi.org/10.2307/2289282>`_ for the two-dimensional case.
+
+%prep
+%autosetup -n loess-2.1.2
+
+%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-loess -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.2-1
+- Package Spec generated
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