<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:arm64_succeed_pro</name>
        <summary></summary>
        <description></description>
        <url>https://download.opensuse.org/repositories/home:/lalala123:/arm64_succeed_pro/x86/</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/tumbleweed/repo/oss/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>python-backoff</name>
        <summary>Function decoration for backoff and retry</summary>
        <description>This module provides function decorators which can be used to wrap a
function such that it will be retried until some condition is met. It
is meant to be of use when accessing unreliable resources with the
potential for intermittent failures i.e. network resources and external
APIs. Somewhat more generally, it may also be of use for dynamically
polling resources for externally generated content.

Decorators support both regular functions for synchronous code and
`asyncio &lt;https://docs.python.org/3/library/asyncio.html&gt;`_'s coroutines
for asynchronous code.</description>
      </item>
    </software>
  </group>
</metapackage>
