* `read(size)`: Lê `size` (`int`) bytes/caracteres do arquivo.
* `seek(offset)`: Vai para o byte na posição `offset` (`int`) no arquivo.
    * Por exemplo, `await myfile.seek(0)` irá para o início do arquivo.
    * Isso é especialmente útil se você executar `await myfile.read()` uma vez e precisar ler o conteúdo novamente.
* `close()`: Fecha o arquivo.

Como todos esses métodos são métodos `assíncronos`, você precisa "aguardar" por eles.

    CountDownLatch latch = new CountDownLatch(2);

    new Thread(
            new Runnable() {
              @Override
              public void run() {
                try {
                  barrier.await();
                } catch (Exception e) {
                  throw new AssertionError(e);
                }

                dispatcher.dispatch(2, integerSubscribers.iterator());
                latch.countDown();

    # o variousMap: (NotRequired - Default map:{})
    #  The various settings about JDBC task mainly.
    #
    ; variousMap = map:{
        # o objectTypeTargetList: (NotRequired - Default list:{TABLE;VIEW})
        #  If you want to include other object types in generating target,
        #  you should specify the list of included object types as adding.
        #    e.g. Synonym of Oracle --> list:{TABLE ; VIEW ; SYNONYM}

Ce découplage des parties, et le fait d'être un "micro-framework" qui puisse être étendu pour couvrir exactement ce
qui est nécessaire, était une caractéristique clé que je voulais conserver.

      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

{* ../../docs_src/async_tests/test_main.py hl[9:12] *}

Isso é equivalente a:

```Python
response = client.get('/')
```

...que nós utilizamos para fazer as nossas requisições utilizando o `TestClient`.

/// tip | Dica

Note que nós estamos utilizando async/await com o novo `AsyncClient` - a requisição é assíncrona.

///

And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇

You might want to try their services and follow their guides:

        // Start timing
        long overallStart = System.nanoTime();

        for (int t = 0; t < threadCount; t++) {
            executor.submit(() -> {
                try {
                    startLatch.await();

                    long threadStart = System.nanoTime();
                    for (int i = 0; i < operationsPerThread; i++) {
                        try {

		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>
		If you want to exclude the upper and lower bounds, use "{}".
	</dd>
	<dt>Boost</dt>
	<dd>

/// note | 📡 ℹ

👆 💪 ⚙️ `from starlette.websockets import WebSocket`.

**FastAPI** 🚚 🎏 `WebSocket` 🔗 🏪 👆, 👩‍💻. ✋️ ⚫️ 👟 🔗 ⚪️➡️ 💃.

///

## ⌛ 📧 & 📨 📧

👆 *️⃣ 🛣 👆 💪 `await` 📧 & 📨 📧.

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

👆 💪 📨 & 📨 💱, ✍, & 🎻 💽.

## 🔄 ⚫️

🚥 👆 📁 📛 `main.py`, 🏃 👆 🈸 ⏮️:

<div class="termy">

```console