-   Rarely, If the tests fail at this stage, we cannot merge the code.
-   If needed, we may come to you to make some changes. At times, it may not be
    you, it may be us who may have hit a snag. Please be patient while we work
    to fix this.
-   Once the internal tests pass, we go ahead and merge the code internally as
    well as externally on GitHub.

In a graphical form, the entire lifetime of a PR looks like

    *   reflector_list_duration_seconds
    *   reflector_lists_total
    *   reflector_short_watches_total
    *   reflector_watch_duration_seconds
    *   reflector_watches_total
    * While this is a backwards-incompatible change, it would have been impossible to setup reliable monitoring around these metrics since the labels were not stable. 



# v1.13.4

[Documentation](https://docs.k8s.io)

        if (file.isDirectory()) {
            try {
                SmbFile[] children = file.listFiles();
                if (children != null) {
                    for (SmbFile child : children) {
                        deleteRecursively(child);
                    }
                }
            } catch (SmbException e) {
                // Ignore listing errors during cleanup

*   Add `EXPAND_DIMS` support to NN API delegate TEST: expand_dims_test
*   `tf.cond` emits a StatelessIf op if the branch functions are stateless and
    do not touch any resources.
*   `tf.cond`, `tf.while` and `if` and `while` in AutoGraph now accept a
    nonscalar predicate if has a single element. This does not affect non-V2
    control flow.
*   `tf.while_loop` emits a StatelessWhile op if the cond and body functions are

/// tip

If you use Python 3.9 or above, you don't have to import `List` from `typing`, you can use the same regular `list` type instead.

///

By doing that, your editor can provide support even while processing items from the list:

<img src="/img/python-types/image05.png">

Without types, that's almost impossible to achieve.

Notice that the variable `item` is one of the elements in the list `items`.

          <name>name</name>
          <version>1.0.0+</version>
          <type>String</type>
          <required>true</required>
          <description>
            The name of the parameter, to be used while configuring this parameter from the Mojo's declared defaults
            or from the POM.
          </description>
        </field>
        <field>
          <name>alias</name>
          <version>1.0.0+</version>

//
// - updates request context with `logger.ReqInfo` and api name based on the
// name of the function handler passed (this handler must be a method of
// `adminAPIHandlers`).
//
// - sets up call to send AuditLog
//
// While this is a middleware function (i.e. it takes a handler function and
// returns one), due to flags being passed based on required conditions, it is
// done per-"handler function registration" in the router.
//

    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {
      next = (int) ((candidate + 1) / generator.nextDouble());
      if (next >= 0 && next < buckets) {
        candidate = next;
      } else {
        return candidate;
      }
    }
  }

  - Subtract DaemonSet pods' requests from node allocatable in the denominator while computing node utilization
  - Include taints by condition when determining if a node is unready/still starting
  - Fix `update-vendor.sh` to work on OSX and zsh
  - Add best-effort eviction for DaemonSet pods while scaling down non-empty nodes
  - Add build support for ARM64
  
  ### AliCloud

ScaleTargetRef which points just to the resource being scaled.
        * In extensions/v1beta1 if CPUUtilization in HorizontalPodAutoscalerSpec was not
specified it was set to 80 by default while in autoscaling/v1 HPA object
without TargetCPUUtilizationPercentage specified is a valid object. Pod
autoscaler controller will apply a default scaling policy in this case which is