SliTaz Repositories

     1.1 --- /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.2 +++ b/python-numpy/description.txt	Wed Jul 13 14:56:01 2022 +0100
     1.3 @@ -0,0 +1,12 @@
     1.4 +It provides:
     1.5 +
     1.6 +- a powerful N-dimensional array object
     1.7 +- sophisticated (broadcasting) functions
     1.8 +- tools for integrating C/C++ and Fortran code
     1.9 +- useful linear algebra, Fourier transform, and random number capabilities
    1.10 +- and much more
    1.11 +
    1.12 +Besides its obvious scientific uses, NumPy can also be used as an efficient
    1.13 +multi-dimensional container of generic data.
    1.14 +Arbitrary data-types can be defined. This allows NumPy to seamlessly and
    1.15 +speedily integrate with a wide variety of databases.

     2.1 --- a/python-numpy/receipt	Wed Jul 13 14:48:34 2022 +0100
     2.2 +++ b/python-numpy/receipt	Wed Jul 13 14:56:01 2022 +0100
     2.3 @@ -1,16 +1,17 @@
     2.4  # SliTaz package receipt.
     2.5  
     2.6  PACKAGE="python-numpy"
     2.7 -VERSION="1.16.4"	# last version fpr Python 2
     2.8 +VERSION="1.16.6"	# last version fpr Python 2
     2.9  CATEGORY="development"
    2.10  SHORT_DESC="Scientific computing library for the Python."
    2.11  MAINTAINER="pascal.bellard@slitaz.org"
    2.12  LICENSE="BSD"
    2.13  WEB_SITE="https://pypi.org/project/numpy/"
    2.14 +REPOLOGY="python:numpy"
    2.15  
    2.16  SOURCE="numpy"
    2.17 -TARBALL="$SOURCE-$VERSION.tar.gz"
    2.18 -WGET_URL="https://github.com/$SOURCE/$SOURCE/archive/v$VERSION.tar.gz"
    2.19 +TARBALL="$SOURCE-$VERSION.zip"
    2.20 +WGET_URL="https://files.pythonhosted.org/packages/source/${SOURCE:0:1}/$SOURCE/$TARBALL"
    2.21  
    2.22  DEPENDS="python"
    2.23  BUILD_DEPENDS="python python-cython python-dev python-setuptools"