|| "error".equalsIgnoreCase(v.getValue3()) || "login".equalsIgnoreCase(v.getValue3())
                        || "profile".equalsIgnoreCase(v.getValue3())) {
                    return false;
                }
                return true;
            }).toArray(n -> new Tuple3[n]));
            propMap.put(VIRTUAL_HOST_HEADERS, hosts);

:"IAAfAODe0PBYnfSGB+dTdJejQYqqgMAsaTViEi/Paw==","X-Minio-Internal-Server-Side-Encryption-Seal-Algorithm":"DAREv2-HMAC-SHA256","content-type":"application/octet-stream"}},{"Bucket":"buck1","Name":"go_113/src/cmd/vendor/github.com/google/pprof/profile/profile.go","UserDef":{"X-Minio-Internal-Server-Side-Encryption-Iv":"qTI+/Styb4g0JL3shGdCv8KtE+PjAF1zDGHCK4=","X-Minio-Internal-Server-Side-Encryption-S3-Kms-Key-Id":"my-minio-key","X-Minio-Internal-Server-Side-Encryption-S3-Kms-Sealed-Key":"IAAfAMPu...

  - Kube-scheduler can run more than one scheduling profile. Given a pod, the profile is selected by using its `.spec.schedulerName`. ([#88285](https://github.com/kubernetes/kubernetes/pull/88285), [@alculquicondor](https://github.com/alculquicondor)) [SIG Apps, Scheduling and Testing]

- ValidatingAdmissionPolicy now exclude TokenReview, SelfSubjectReview, LocalSubjectAccessReview,...

Their values, defined in the standard <code>#include</code>  file <code>textflag.h</code>, are:
</p>

<ul>
<li>
<code>NOPROF</code> = 1
<br>
(For <code>TEXT</code> items.)
Don't profile the marked function.  This flag is deprecated.
</li>
<li>
<code>DUPOK</code> = 2
<br>
It is legal to have multiple instances of this symbol in a single binary.
The linker will choose one of the duplicates to use.

With cluster-wide seccomp defaults, the kubelet uses the `RuntimeDefault` seccomp profile by default, rather than than `Unconfined`. This allows enhancing the default cluster wide workload security of the Kubernetes deployment. Security administrators will now sleep better knowing there...

- Graduated seccomp profile defaulting to GA.
  
  Set the kubelet `--seccomp-default` flag or `seccompDefault` kubelet configuration field to `true` to make pods on that node default to using the `RuntimeDefault` seccomp profile.
  

    analyzing input pipeline performance with TF Profiler.

*   [`tf.distribute.TPUStrategy`](https://www.tensorflow.org/api_docs/python/tf/distribute/TPUStrategy)
    is now a stable API and no longer considered experimental for TensorFlow.
    (earlier `tf.distribute.experimental.TPUStrategy`).

*   [TF Profiler](https://www.tensorflow.org/guide/profiler) introduces two new
    tools: a memory profiler to visualize your model’s memory usage over time

    <magic priority="50">
      <match value="JAVA PROFILE \\d\\.\\d\\.\\d\\u0000" type="regex" offset="0"/>
    </magic>
    <glob pattern="*.hprof"/>
  </mime-type>
  <mime-type type="application/vnd.java.hprof.text">
    <_comment>Java hprof text file</_comment>
    <magic priority="50">
      <match value="JAVA PROFILE \\d\\.\\d\\.\\d," type="regex" offset="0"/>
    </magic>

- Users can traverse all the pods that are in the scheduler and waiting in the permit stage through method `IterateOverWaitingPods`. In other words,  all waitingPods in scheduler can be obtained from any profiles. Before this commit, each profile could only obtain waitingPods within that profile. ([#124926](https://github.com/kubernetes/kubernetes/pull/124926), [@kerthcet](https://github.com/kerthcet)) [SIG Scheduling]