if localDiskCount < concurrency {
					concurrency = localDiskCount
				}
			}

			// Any concurrency less than '4' just stick to '4' concurrent
			// operations for now to begin with.
			if concurrency < 4 {
				concurrency = 4
			}

			// if GOMAXPROCS is set to a lower value then choose to use
			// concurrency == GOMAXPROCS instead.
			if runtime.GOMAXPROCS(0) < concurrency {

	db.Mux.Unlock()

	// prepare completed
	defer close(cacheStmt.prepared)

	// Reason why cannot lock conn.PrepareContext
	// suppose the maxopen is 1, g1 is creating record and g2 is querying record.
	// 1. g1 begin tx, g1 is requeue because of waiting for the system call, now `db.ConnPool` db.numOpen == 1.
	// 2. g2 select lock `conn.PrepareContext(ctx, query)`, now db.numOpen == db.maxOpen , wait for release.

---

O ponto principal é que **nenhum** desses são **regras escritas em pedra** que você deve seguir cegamente. Você pode usar essas idéias para **avaliar seu próprio caso de uso** e decidir qual é a melhor abordagem para seu sistema, verificando como gerenciar os conceitos de:

* Segurança - HTTPS
* Executando na inicialização

  EXPECT_TF_META("v", list_size, TF_ATTR_INT, -1);
  TF_OperationGetAttrIntList(oper, "v", values, list_size, s_);
  EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_TRUE(std::equal(std::begin(list), std::end(list), std::begin(values)));
}

TEST_F(CApiAttributesTest, Float) {
  auto desc = init("float");
  TF_SetAttrFloat(desc, "v", 2.718);

  auto oper = TF_FinishOperation(desc, s_);

  /** Creates a new, empty {@link ExecutionList}. */
  public ExecutionList() {}

  /**
   * Adds the {@code Runnable} and accompanying {@code Executor} to the list of listeners to
   * execute. If execution has already begun, the listener is executed immediately.
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

## Vida útil (_Lifespan_)

Você pode definir essa lógica de *inicialização* e *encerramento* usando os parâmetros de `lifespan` da aplicação `FastAPI`, e um "gerenciador de contexto" (te mostrarei o que é isso a seguir).

Vamos iniciar com um exemplo e ver isso detalhadamente.

Nós criamos uma função assíncrona chamada `lifespan()` com `yield` como este:

```Python hl_lines="16  19"
{!../../../docs_src/events/tutorial003.py!}

   *
   * 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.
   *

type ListMultipartsInfo struct {
	// Together with upload-id-marker, this parameter specifies the multipart upload
	// after which listing should begin.
	KeyMarker string

	// Together with key-marker, specifies the multipart upload after which listing
	// should begin. If key-marker is not specified, the upload-id-marker parameter
	// is ignored.
	UploadIDMarker string

    pattern = pattern
        // > Put a backslash ("\") in front of the first "!" for patterns that
        // >   begin with a literal "!", for example, `"\!important!.txt"`.
        .replace(REGEX_REPLACE_LEADING_EXCAPED_EXCLAMATION, '!')
        // > Put a backslash ("\") in front of the first hash for patterns that
        // >   begin with a hash.
        .replace(REGEX_REPLACE_LEADING_EXCAPED_HASH, '#')

    /** Runnable is not running and not queued for execution */
    IDLE,
    /** Runnable is not running, but is being queued for execution */
    QUEUING,
    /** runnable has been submitted but has not yet begun execution */
    QUEUED,
    RUNNING,
  }

  /** Underlying executor that all submitted Runnable objects are run on. */
  private final Executor executor;

  @GuardedBy("queue")