<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group>
    <name>ohpc-numpy</name>
    <summary>ohpc-numpy</summary>
    <description>OpenHPC Numpy python module builds for various compiler combinations</description>
    <repositories>
      <repository recommended="true">
        <name>OpenHPC:1.1</name>
        <summary>1.1 - Base</summary>
        <description></description>
        <url>http://build.openhpc.community/OpenHPC:/1.1/SLE_12_SP1/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE.org:SUSE:SLE-12-SP1:GA</name>
        <url>http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP1:/GA/standard/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE.org:SUSE:SLE-12:GA:qemu</name>
        <url>http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/GA:/qemu/SLE_12/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE.org:SUSE:SLE-12:Update</name>
        <url>http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/standard/</url>
      </repository>
      <repository recommended="false">
        <name>openSUSE.org:SUSE:SLE-12:GA</name>
        <url>http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/GA/standard/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>python-numpy-gnu-ohpc</name>
        <summary>NumPy array processing for numbers, strings, records and objects</summary>
        <description>NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.</description>
      </item>
      <item>
        <name>python-numpy-intel-ohpc</name>
        <summary>NumPy array processing for numbers, strings, records and objects</summary>
        <description>NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.</description>
      </item>
    </software>
  </group>
</metapackage>
