}

  @SuppressLint("NewApi")
  private fun ExtensionContext.isFlaky(): Boolean =
    (testMethod.orElseGet { null }?.isAnnotationPresent(Flaky::class.java) == true) ||
      (testClass.orElseGet { null }?.isAnnotationPresent(Flaky::class.java) == true)

  @Synchronized private fun logEvents() {
    // Will be ineffective if test overrides the listener
    synchronized(clientEventsList) {

        .addEqualityGroup(Range.all(), Range.all())
        .addEqualityGroup("Phil")
        .testEquals();
  }

  @GwtIncompatible // TODO(b/148207871): Restore once Eclipse compiler no longer flakes for this.
  @J2ktIncompatible // TODO(b/148207871): Likewise, or once J2KT uses javac instead of Eclipse.
  public void testLegacyComparable() {

        .addEqualityGroup(Range.all(), Range.all())
        .addEqualityGroup("Phil")
        .testEquals();
  }

  @GwtIncompatible // TODO(b/148207871): Restore once Eclipse compiler no longer flakes for this.
  @J2ktIncompatible // TODO(b/148207871): Likewise, or once J2KT uses javac instead of Eclipse.
  public void testLegacyComparable() {

Para definir un `dict`, pasas 2 parámetros de tipo, separados por comas.

El primer parámetro de tipo es para las claves del `dict`.

El segundo parámetro de tipo es para los valores del `dict`:

{* ../../docs_src/python_types/tutorial008_py39.py hl[1] *}

Esto significa:

* La variable `prices` es un `dict`:
    * Las claves de este `dict` son del tipo `str` (digamos, el nombre de cada ítem).

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Información

`**second_user_data` significa:

Pasa las claves y valores del dict `second_user_data` directamente como argumentos de clave-valor, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Soporte del editor { #editor-support }

    opcode = b0 and B0_MASK_OPCODE
    isFinalFrame = b0 and B0_FLAG_FIN != 0
    isControlFrame = b0 and OPCODE_FLAG_CONTROL != 0

    // Control frames must be final frames (cannot contain continuations).
    if (isControlFrame && !isFinalFrame) {
      throw ProtocolException("Control frames must be final.")
    }

    val reservedFlag1 = b0 and B0_FLAG_RSV1 != 0
    when (opcode) {
      OPCODE_TEXT, OPCODE_BINARY -> {

      TYPE_DATA -> readData(handler, length, flags, streamId)
      TYPE_HEADERS -> readHeaders(handler, length, flags, streamId)
      TYPE_PRIORITY -> readPriority(handler, length, flags, streamId)
      TYPE_RST_STREAM -> readRstStream(handler, length, flags, streamId)
      TYPE_SETTINGS -> readSettings(handler, length, flags, streamId)
      TYPE_PUSH_PROMISE -> readPushPromise(handler, length, flags, streamId)

/// tip | Consejo

Puedes usar cualquier otro paquete de bases de datos SQL o NoSQL que quieras (en algunos casos llamadas <abbr title="Object Relational Mapper – Mapeador Objeto-Relacional: un término elegante para un paquete donde algunas clases representan tablas SQL y las instances representan filas en esas tablas">"ORMs"</abbr>), FastAPI no te obliga a usar nada. 😎

///

  /** Outgoing messages and close frames in the order they should be written. */
  private val messageAndCloseQueue = ArrayDeque<Any>()

  /** The total size in bytes of enqueued but not yet transmitted messages. */
  private var queueSize = 0L

  /** True if we've enqueued a close frame. No further message frames will be enqueued. */
  private var enqueuedClose = false

  }

  @Test
  fun clientCloseCancelsConnectionAfterTimeout() {
    client.webSocket!!.close(1000, "Hello!")
    taskFaker.runTasks()
    // Note: we don't process server frames so our client 'close' doesn't receive a server 'close'.
    assertThat(client.canceled).isFalse()

    taskFaker.advanceUntil(ns(RealWebSocket.CANCEL_AFTER_CLOSE_MILLIS - 1))
    assertThat(client.canceled).isFalse()