# HG changeset patch
# User Hans-G?nter Theisgen
# Date 1657720561 -3600
# Node ID 5a69b27e347ac6c36810f27e675beec630f4b1f9
# Parent  0c663fa81568e72356d6004298cc4c19d67f0abe
updated python-numpy (1.16.4 -> 1.16.6)

diff -r 0c663fa81568 -r 5a69b27e347a python-numpy/description.txt
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/python-numpy/description.txt	Wed Jul 13 14:56:01 2022 +0100
@@ -0,0 +1,12 @@
+It provides:
+
+- a powerful N-dimensional array object
+- sophisticated (broadcasting) functions
+- tools for integrating C/C++ and Fortran code
+- useful linear algebra, Fourier transform, and random number capabilities
+- and much more
+
+Besides its obvious scientific uses, NumPy can also be used as an efficient
+multi-dimensional container of generic data.
+Arbitrary data-types can be defined. This allows NumPy to seamlessly and
+speedily integrate with a wide variety of databases.
diff -r 0c663fa81568 -r 5a69b27e347a python-numpy/receipt
--- a/python-numpy/receipt	Wed Jul 13 14:48:34 2022 +0100
+++ b/python-numpy/receipt	Wed Jul 13 14:56:01 2022 +0100
@@ -1,16 +1,17 @@
 # SliTaz package receipt.
 
 PACKAGE="python-numpy"
-VERSION="1.16.4"	# last version fpr Python 2
+VERSION="1.16.6"	# last version fpr Python 2
 CATEGORY="development"
 SHORT_DESC="Scientific computing library for the Python."
 MAINTAINER="pascal.bellard@slitaz.org"
 LICENSE="BSD"
 WEB_SITE="https://pypi.org/project/numpy/"
+REPOLOGY="python:numpy"
 
 SOURCE="numpy"
-TARBALL="$SOURCE-$VERSION.tar.gz"
-WGET_URL="https://github.com/$SOURCE/$SOURCE/archive/v$VERSION.tar.gz"
+TARBALL="$SOURCE-$VERSION.zip"
+WGET_URL="https://files.pythonhosted.org/packages/source/${SOURCE:0:1}/$SOURCE/$TARBALL"
 
 DEPENDS="python"
 BUILD_DEPENDS="python python-cython python-dev python-setuptools"