* If the host platform is compromised or misconfigured this may contain untrustworthy root
     * certificates. Applications that connect to a known set of servers may be able to mitigate
     * this problem with [certificate pinning][CertificatePinner].
     */
    fun addPlatformTrustedCertificates() =
      apply {
        val platformTrustManager = Platform.get().platformTrustManager()

			srs.Latency.update(st.TransferSize, st.TransferDuration)
			srs.updateXferRate(st.TransferSize, st.TransferDuration)
		}
	case st.Failed:
		srs.Failed.addsize(st.TransferSize, st.Err)
	case st.Pending:
	}
	sr.M[dID] = srs
}

func (sr *SRStats) get() map[string]SRMetric {
	epMap := globalBucketTargetSys.healthStats()

	sr.lock.RLock()
	defer sr.lock.RUnlock()

   *
   * This method returns false unless it is overridden by a subclass.
   *
   * ### Duplex Transmission
   *
   * With regular HTTP calls the request always completes sending before the response may begin
   * receiving. With duplex the request and response may be interleaved! That is, request body bytes
   * may be sent after response headers or body bytes have been received.
   *

- Kube-scheduler: Fine-grained tracking of events (introduced in 1.28) suffered from a data race when binding fails. ([#119729](https://github.com/kubernetes/kubernetes/pull/119729), [@pohly](https://github.com/pohly)) [SIG Scheduling]

Network isolation between different models is also important not only to prevent
unauthorized access to data or models, but also to prevent malicious users or
tenants sending graphs to execute under another tenant’s identity.

The isolation mechanisms are the responsibility of the users to design and
implement, and therefore security issues deriving from their absence are not

   * we needn't create a separate loader.
   */
  static class SystemLoader implements FinalizerLoader {
    // This is used by the ClassLoader-leak test in FinalizableReferenceQueueTest to disable
    // finding Finalizer on the system class path even if it is there.
    @VisibleForTesting static boolean disabled;

    @Override
    @CheckForNull
    public Class<?> loadFinalizer() {
      if (disabled) {

    * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données.
* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.

type Target struct {
	status int32

	totalMessages  int64
	failedMessages int64

	wg sync.WaitGroup

	// Channel of log entries.
	// Reading logCh must hold read lock on logChMu (to avoid read race)
	// Sending a value on logCh must hold read lock on logChMu (to avoid closing)
	logCh   chan interface{}
	logChMu sync.RWMutex

	// store to persist and replay the logs to the target
	// to avoid missing events when the target is down.

    * به این دلیل که ساختار داده Pydantic فقط نمونه هایی از کلاس هایی هستند که شما تعریف میکنید، تکمیل خودکار، mypy، linting و مشاهده شما باید به درستی با داده های معتبر شما کار کنند.
* اعتبار سنجی **ساختارهای پیچیده**:
    * استفاده از مدل های سلسله مراتبی Pydantic, `List` و `Dict` کتابخانه `typing` پایتون و غیره.

    * Doordat pydantic's datastructuren enkel instanties zijn van klassen, die je definieert, werkt automatische aanvulling, linting, mypy en je intuïtie allemaal goed met je gevalideerde data.
* Valideer **complexe structuren**:
    * Gebruik van hiërarchische Pydantic modellen, Python `typing`'s `List` en `Dict`, enz.