From 182220e9387145eb2aa1ae06d66212f7d695f1e4 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Wed, 31 May 2023 03:37:31 +0000
Subject: automatic import of python-pyacvd

---
 .gitignore         |  1 +
 python-pyacvd.spec | 77 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 sources            |  1 +
 3 files changed, 79 insertions(+)
 create mode 100644 python-pyacvd.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
index e69de29..ee039a1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/pyacvd-0.2.9.tar.gz
diff --git a/python-pyacvd.spec b/python-pyacvd.spec
new file mode 100644
index 0000000..a34fcf2
--- /dev/null
+++ b/python-pyacvd.spec
@@ -0,0 +1,77 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-pyacvd
+Version:	0.2.9
+Release:	1
+Summary:	Uniformly remeshes surface meshes
+License:	MIT
+URL:		https://github.com/pyvista/pyacvd
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d7/9d/1d10109cbd9409e0885d5a824ff2610d3adf2a2066a90abb66490ae9706a/pyacvd-0.2.9.tar.gz
+
+Requires:	python3-pyvista
+Requires:	python3-numpy
+Requires:	python3-scipy
+
+%description
+This module takes a surface mesh and returns a uniformly meshed surface using voronoi clustering.  This approach is loosely based on research by S. Valette, and J. M. Chassery in `ACVD <https://github.com/valette/ACVD>`_.
+
+%package -n python3-pyacvd
+Summary:	Uniformly remeshes surface meshes
+Provides:	python-pyacvd
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-pyacvd
+This module takes a surface mesh and returns a uniformly meshed surface using voronoi clustering.  This approach is loosely based on research by S. Valette, and J. M. Chassery in `ACVD <https://github.com/valette/ACVD>`_.
+
+%package help
+Summary:	Development documents and examples for pyacvd
+Provides:	python3-pyacvd-doc
+%description help
+This module takes a surface mesh and returns a uniformly meshed surface using voronoi clustering.  This approach is loosely based on research by S. Valette, and J. M. Chassery in `ACVD <https://github.com/valette/ACVD>`_.
+
+%prep
+%autosetup -n pyacvd-0.2.9
+
+%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-pyacvd -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.9-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d60dead
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+ea61d10f7fc85a62ad256cc1abef34c5  pyacvd-0.2.9.tar.gz
-- 
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