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

    val gradleIdeStarterScenarios = "org.gradle.buildtool.internal:gradle-ide-starter-scenarios:$gradleIdeStarterVersion"
    val gradleProfiler = "org.gradle.profiler:gradle-profiler"
    val groovy = "org.apache.groovy:groovy"
    val groovyAnt = "org.apache.groovy:groovy-ant"
    val groovyAstbuilder = "org.apache.groovy:groovy-astbuilder"
    val groovyConsole = "org.apache.groovy:groovy-console"

  existingClientSecretName: ""
  existingClientIdKey: ""
  existingClientSecretKey: ""
  claimName: "policy"
  scopes: "openid,profile,email"
  redirectUri: "https://console-endpoint-url/oauth_callback"
  # Can leave empty
  claimPrefix: ""
  comment: ""
  displayName: ""

networkPolicy:
  enabled: false

[GC guide](/doc/gc-guide#Linux_transparent_huge_pages), or switch to a Linux
distribution that disables transparent huge pages altogether.

Go 1.22 added contention on runtime-internal locks to the [`mutex`
profile](/pkg/runtime/pprof#Profile). Contention on these locks is always
reported at `runtime._LostContendedRuntimeLock`. Complete stack traces of
runtime locks can be enabled with the [`runtimecontentionstacks`

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

export MINIO_IDENTITY_OPENID_CLIENT_ID="843351d4-1080-11ea-aa20-271ecba3924a"
# Optional: Allow to specify the requested OpenID scopes (OpenID only requires the `openid` scope)
#export MINIO_IDENTITY_OPENID_SCOPES="openid,profile,email"
minio server /mnt/export
```

or using `mc`

```
mc admin config get myminio identity_openid

            <option value="$PROJECT_DIR$/platforms/core-runtime/build-process-services" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/build-profile" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/build-state" />
            <option value="$PROJECT_DIR$/platforms/core-runtime/classloaders" />

		// Profiling operations
		adminRouter.Methods(http.MethodPost).Path(adminVersion + "/profile").HandlerFunc(adminMiddleware(adminAPI.ProfileHandler, traceHdrsS3HFlag, noObjLayerFlag))

		// Config KV operations.
		if enableConfigOps {

}

func TestGenericsAssociationSlice(t *testing.T) {
	// Test that a slice of Association can be used
	associations := []clause.Association{
		{Association: "Orders", Type: clause.OpDelete},
		{Association: "Profiles", Type: clause.OpUpdate},
	}

	// In practice, each Association would be processed individually
	// since []clause.Association doesn't implement AssociationAssigner directly
	for i, assoc := range associations {

  - 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]