<p>
A read <i>r</i> of a memory location <i>x</i>
holding a value
that is not larger than a machine word must observe
some write <i>w</i> such that <i>r</i> does not happen before <i>w</i>
and there is no write <i>w'</i> such that <i>w</i> happens before <i>w'</i>
and <i>w'</i> happens before <i>r</i>.
That is, each read must observe a value written by a preceding or concurrent write.
</p>

<p>

		return
	}

	if w != nil {
		// Increment the prometheus http request response histogram with API, Bucket
		bucketHTTPRequestsDuration.With(prometheus.Labels{
			"api":    api,
			"bucket": bucket,
		}).Observe(w.TTFB().Seconds())
	}

	bh.Lock()
	defer bh.Unlock()

	hstats, ok := bh.httpStats[bucket]
	if !ok {
		hstats = bucketHTTPAPIStats{
			currentS3Requests: &HTTPAPIStats{},

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* etc.

{* ../../docs_src/response_model/tutorial001_py310.py hl[17,22,24:27] *}

/// note | Nota

Observe que `response_model` é um parâmetro do método "decorator" (`get`, `post`, etc). Não da sua *função de operação de rota*, como todos os parâmetros e corpo.

///

Agora você pode importar e usar o código do cliente, ele poderia ser assim, observe que você obtém preenchimento automático para os métodos:

<img src="/img/tutorial/generate-clients/image02.png">

Você também obterá preenchimento automático para o corpo a ser enviado:

<img src="/img/tutorial/generate-clients/image03.png">

/// tip | Dica

   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be
   * scheduled again for future submissions.
   */
  @GuardedBy("queue")
  private long workerRunCount = 0;

		Buckets: []float64{0.01, 0.1, 1, 2, 5, 10, 60, 5 * 60, 15 * 60, 30 * 60},
	}, []string{"tier"}),
}

func (t *tierMetrics) Observe(tier string, dur time.Duration) {
	t.histogram.With(prometheus.Labels{"tier": tier}).Observe(dur.Seconds())
}

func (t *tierMetrics) logSuccess(tier string) {
	t.Lock()
	defer t.Unlock()

	stat := t.requestsCount[tier]
	stat.success++

   * be performed atomically on the returned map. Additionally, {@code size} and {@code
   * containsValue} are implemented as bulk read operations, and thus may fail to observe concurrent
   * writes.
   *
   * @return a serializable concurrent map having the requested features
   */
  public <K, V> ConcurrentMap<K, V> makeMap() {
    if (!useCustomMap) {

<img src="/img/tutorial/security/image07.png">

Autorize a aplicação da mesma maneira que antes.

Usando as credenciais:

Username: `johndoe`
Password: `secret`

/// check | Verifique

Observe que em nenhuma parte do código está a senha em texto puro "`secret`", nós temos apenas o hash.

///

<img src="/img/tutorial/security/image08.png">

Chame o endpoint `/users/me/`, você receberá o retorno como:

  /**
   * The HTTP <a href="https://patcg-individual-drafts.github.io/topics/">{@code
   * Observe-Browsing-Topics}</a> header field name.
   *
   * @since 32.0.0
   */
  public static final String OBSERVE_BROWSING_TOPICS = "Observe-Browsing-Topics";

  /**
   * The HTTP <a
   * href="https://wicg.github.io/turtledove/#handling-direct-from-seller-signals">{@code

 *
 * Every [edit] call must be matched by a call to [Editor.commit] or [Editor.abort]. Committing is
 * atomic: a read observes the full set of values as they were before or after the commit, but never
 * a mix of values.
 *
 * Clients call [get] to read a snapshot of an entry. The read will observe the value at the time
 * that [get] was called. Updates and removals after the call do not impact ongoing reads.
 *