In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.

  `Yes, it IS his business!' said Five, `and I'll tell him--it
was for bringing the cook tulip-roots instead of onions.'

  Seven flung down his brush, and had just begun `Well, of all
the unjust things--' when his eye chanced to fall upon Alice, as
she stood watching them, and he checked himself suddenly:  the
others looked round also, and all of them bowed low.

  `Would you tell me,' said Alice, a little timidly, `why you are

func (t *transitionState) ActiveTasks() int64 {
	return t.activeTasks.Load()
}

// MissedImmediateTasks returns the number of tasks - deferred to scanner due
// to tasks channel being backlogged.
func (t *transitionState) MissedImmediateTasks() int64 {
	return t.missedImmediateTasks.Load()
}

// worker waits for transition tasks
func (t *transitionState) worker(objectAPI ObjectLayer) {

```console
$ pip install "harry==3"
```

</div>

E então você acabaria com `harry` versão `3` instalado em seu ambiente Python global.

E se você tentar executar `philosophers-stone` novamente, há uma chance de que **não funcione** porque ele precisa de `harry` versão `1`.

```mermaid
flowchart LR
    subgraph global[global env]
        harry-1[<strike>harry v1</strike>]

   * @IgnoreJRERequirement should be redundant with the one on Streams itself, but it's necessary as
   * of Animal Sniffer 1.24. Maybe Animal Sniffer processes this nested class before it processes
   * Streams and thus hasn't had a chance to see Streams's annotation?
   */
  @IgnoreJRERequirement
  private abstract static class MapWithIndexSpliterator<
          F extends Spliterator<?>,
          R extends @Nullable Object,

```console
$ pip install "harry==3"
```

</div>

And then you would end up with `harry` version `3` installed in your global Python environment.

And if you try to run `philosophers-stone` again, there's a chance it would **not work** because it needs `harry` version `1`.

```mermaid
flowchart LR
    subgraph global[global env]
        harry-1[<strike>harry v1</strike>]
        style harry-1 fill:#ccc,stroke-dasharray: 5 5

public final class okhttp3/CacheControl$Companion {
	public final fun parse (Lokhttp3/Headers;)Lokhttp3/CacheControl;
}

public abstract interface class okhttp3/Call : java/lang/Cloneable {
	public abstract fun cancel ()V
	public abstract fun clone ()Lokhttp3/Call;
	public abstract fun enqueue (Lokhttp3/Callback;)V
	public abstract fun execute ()Lokhttp3/Response;
	public abstract fun isCanceled ()Z
	public abstract fun isExecuted ()Z

	}
	store.runlock()

	if len(missingPolicies) > 0 {
		m := make(map[string]PolicyDoc)
		for _, policy := range missingPolicies {
			ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
			_ = store.loadPolicyDoc(ctx, policy, m)
			cancel()
		}

		cache := store.lock()
		maps.Copy(cache.iamPolicyDocsMap, m)
		store.unlock()

		for policy, p := range m {

Nesse caso, seria melhor obter **um servidor extra** e executar alguns processos nele para que todos tenham **RAM e tempo de CPU suficientes**.

Também há a chance de que, por algum motivo, você tenha um **pico** de uso da sua API. Talvez ela tenha se tornado viral, ou talvez alguns outros serviços ou bots comecem a usá-la. E você pode querer ter recursos extras para estar seguro nesses casos.

Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que "fichier-lent" 📝 se termine.

Ensuite l'ordinateur / le programme 🤖 reviendra à chaque fois qu'il en a la chance que ce soit parce qu'il attend à nouveau, ou car il 🤖 a fini tout le travail qu'il avait à faire. Il 🤖 regardera donc si les tâches qu'il attend ont terminé d'être effectuées.