<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group distversion="openSUSE Tumbleweed">
    <repositories>
      <repository recommended="true">
        <name>home:lalala123:multi_architecture</name>
        <summary></summary>
        <description></description>
        <url>https://download.opensuse.org/repositories/home:/lalala123:/multi_architecture/ARM/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Factory:ARM</name>
        <summary>openSUSE Factory ARM</summary>
        <description>This is a project clone to build entire openSUSE:Factory for the ARM architecture.
</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Factory:/ARM/standard/</url>
      </repository>
      <repository recommended="false">
        <name>openSUSE:Factory</name>
        <summary>The next openSUSE distribution</summary>
        <description>openSUSE Tumbleweed: The Bleeding Edge, Perfected.
Tumbleweed is the ultimate rolling release distribution, providing the latest software as it’s released, built upon a foundation of world-class stability and testing.

* Always Current: Get the newest kernel, IDEs, desktops, and applications automatically.

* Powerfully Stable: Experience the velocity of a rolling release without sacrificing the reliability you depend on.

* Engineered for Professionals: The top choice for Developers, Power Users, and openSUSE Contributors who need the best tools for the job.

If you demand the latest stable software, your choice is Tumbleweed.

Staging dashboard is located at: https://build.opensuse.org/staging_workflows/openSUSE:Factory 

List of known devel projects: https://build.opensuse.org/package/view_file/openSUSE:Factory:Staging/dashboard/devel_projects

Have a look at http://en.opensuse.org/Portal:Factory for more details.</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Factory/ports/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>python-unyt</name>
        <summary>A package for handling numpy arrays with units</summary>
        <description>A package for handling numpy arrays with units.

Often writing code that deals with data that has units can be confusing. A
function might return an array but at least with plain NumPy arrays, there is no
way to easily tell what the units of the data are without somehow knowing *a
priori*.</description>
      </item>
    </software>
  </group>
</metapackage>
