$ git diff --patch-with-stat --summary 2676cd176a41df366d5478dff0392c5b046b1e7e..9f39758b3fb925a5bb9f6d53eb5dae212b0819aa

 .abf.yml           |  3 +--
 check-update.sh    |  5 -----
 python-pyacvd.spec | 17 +++++++----------
 3 files changed, 8 insertions(+), 17 deletions(-)
 delete mode 100755 check-update.sh

diff --git a/.abf.yml b/.abf.yml
index 878ba51..9af039c 100644
--- a/.abf.yml
+++ b/.abf.yml
@@ -1,3 +1,2 @@
 sources:
-  python-pyacvd-0.2.8.tar.gz: 9b6cffc3fe0fce3c0495cb784c4f88cc31e49f98
-
+  python-pyacvd-0.2.9.tar.gz: a1edf95ae4820bdfc9a6a2f935c2381e78d997c8
diff --git a/check-update.sh b/check-update.sh
deleted file mode 100755
index a137658..0000000
--- a/check-update.sh
+++ /dev/null
@@ -1,5 +0,0 @@
-#!/bin/sh
-py_module=pyacvd
-curl https://pypi.org/project/${py_module}/ 2>/dev/null |grep -A1 "package-header__name" |sed -ne "s,.*${py_module} ,,p"
-
-
diff --git a/python-pyacvd.spec b/python-pyacvd.spec
index ca34a51..898a916 100644
--- a/python-pyacvd.spec
+++ b/python-pyacvd.spec
@@ -1,15 +1,12 @@
-%global module	pyacvd
-%global fname %(m=%{module}; echo ${m:0:1})
-
 Summary:	A Python implementation of surface mesh resampling algorithm ACVD
-Name:		python-%{module}
-Version:	0.2.8
+Name:		python-pyacvd
+Version:	0.2.9
 Release:	1
 Group:		Development/Python
 License:	MIT
 URL:		https://github.com/pyvista/pyacvd
-Source0:	https://github.com/pyvista/%{module}/archive/refs/tags/v%{version}/%{name}-%{version}.tar.gz
-#Source0:	https://pypi.io/packages/source/%{fname}/%{module}/%{module}-%{version}.tar.gz
+Source0:	https://github.com/pyvista/pyacvd/archive/refs/tags/v%{version}/%{name}-%{version}.tar.gz
+#Source0:	https://pypi.io/packages/source/p/pyacvd/pyacvd-%{version}.tar.gz
 
 BuildRequires:	pkgconfig(python)
 BuildRequires:	python3dist(cython)
@@ -21,8 +18,8 @@ BuildRequires:	python3dist(wheel)
 %files
 %license LICENSE
 %doc README.rst
-%{py_platsitedir}/%{module}/
-%{py_platsitedir}/%{module}-%{version}.dist-info/
+%{py_platsitedir}/pyacvd/
+%{py_platsitedir}/pyacvd-*.*-info/
 
 #----------------------------------------------------------------------------
 
@@ -32,7 +29,7 @@ voronoi clustering. This approach is loosely based on research by S. Valette,
 and J. M. Chassery in ACVD.
 
 %prep
-%autosetup -n %{module}-%{version}
+%autosetup -n pyacvd-%{version}
 
 %build
 %py_build