name: Flaking Test
description: Report flaky tests or jobs in Kubernetes CI
labels: kind/flake
body:
  - type: textarea
    id: jobs
    attributes:
      label: Which jobs are flaking?
      description: |
        Please only use this template for submitting reports about flaky tests or jobs (pass or fail with no underlying change in code) in Kubernetes CI.
        Links to go.k8s.io/triage and/or links to specific failures in spyglass are appreciated.

      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)

   */
  private fun doReadTimeout() = !connection.client || sink.closed || sink.finished

  /**
   * A source that reads the incoming data frames of a stream. Although this class uses
   * synchronization to safely receive incoming data frames, it is not intended for use by multiple
   * readers.
   */
  inner class FramingSource internal constructor(

  /** 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

/// 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. 😎

///

    - [Node binaries](#node-binaries-4)
  - [Changelog since v1.18.15](#changelog-since-v11815)
  - [Changes by Kind](#changes-by-kind-4)
    - [Bug or Regression](#bug-or-regression-4)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake)
  - [Dependencies](#dependencies-4)
    - [Added](#added-4)
    - [Changed](#changed-4)
    - [Removed](#removed-4)
- [v1.18.15](#v11815)
  - [Downloads for v1.18.15](#downloads-for-v11815)

    close(ErrorCode.PROTOCOL_ERROR, ErrorCode.PROTOCOL_ERROR, e)
  }

  /**
   * Sends any initial frames and starts reading frames from the remote peer. This should be called
   * after [Builder.build] for all new connections.
   *
   * @param sendConnectionPreface true to send connection preface frames. This should always be true
   *     except for in tests that don't check for a connection preface.

  }

  @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()

    byteCount: Int,
  ) {
    withLock {
      if (closed) throw IOException("closed")
      var flags = FLAG_NONE
      if (outFinished) flags = flags or FLAG_END_STREAM
      dataFrame(streamId, flags, source, byteCount)
    }
  }

  @Throws(IOException::class)
  fun dataFrame(
    streamId: Int,
    flags: Int,
    buffer: Buffer?,
    byteCount: Int,
  ) {
    frameHeader(

En este caso, como los dos modelos son diferentes, si anotáramos el tipo de retorno de la función como `UserOut`, el editor y las herramientas se quejarían de que estamos devolviendo un tipo inválido, ya que son clases diferentes.

Por eso en este ejemplo tenemos que declararlo en el parámetro `response_model`.

...pero sigue leyendo abajo para ver cómo superar eso.