)
  }

  /**
   * We don't track the active task in scheduled tasks. This behavior might be a mistake, but it's
   * cumbersome to implement properly because the active task might be a cancel.
   */
  @Test fun scheduledTasksDoesNotIncludeRunningTask() {
    val task =
      object : Task("task one") {
        val schedules = mutableListOf(200.µs)

        override fun runOnce(): Long {

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

	if authn := newGlobalAuthNPluginFn(); authn != nil {
		maps.Copy(sys.rolesMap, authn.GetRoleInfo())
	}

	sys.printIAMRoles()
	sys.Unlock()

	retryCtx, cancel := context.WithCancel(ctx)

	// Indicate to our routine to exit cleanly upon return.
	defer cancel()

	// Migrate storage format if needed.
	for {
		// Migrate IAM configuration, if necessary.
		if err := saveIAMFormat(retryCtx, sys.store); err != nil {

	healthClient.NoMetrics = true

	// Construct a new health function.
	restClient.HealthCheckFn = func() bool {
		ctx, cancel := context.WithTimeout(context.Background(), restClient.HealthCheckTimeout)
		defer cancel()
		respBody, err := healthClient.Call(ctx, peerRESTMethodHealth, nil, nil, -1)
		xhttp.DrainBody(respBody)
		return !isNetworkError(err)
	}

///

## Reduzir duplicação

Reduzir a duplicação de código é uma das ideias principais no **FastAPI**.

A duplicação de código aumenta as chances de bugs, problemas de segurança, problemas de desincronização de código (quando você atualiza em um lugar, mas não em outros), etc.

E esses modelos estão compartilhando muitos dos dados e duplicando nomes e tipos de atributos.

			m.o[i].metadata = nil
		}
	}
	m.o = m.o[idx:]
}

// mergeEntryChannels will merge entries from in and return them sorted on out.
// To signify no more results are on an input channel, close it.
// The output channel will be closed when all inputs are emptied.
// If file names are equal, compareMeta is called to select which one to choose.
// The entry not chosen will be discarded.

        .build()
    val request = Request(server.url("/"))
    val response1 = client.newCall(request).execute()
    assertThat(response1.body.string()).isEqualTo("a")

    // Give the thread pool a chance to evict.
    Thread.sleep(500)
    val response2 = client.newCall(request).execute()
    assertThat(response2.body.string()).isEqualTo("b")
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)

    void tryClose() {
        synchronized (LOCK) {

            /* Yes, there is the potential to drop packets
             * because we might close the socket during a
             * request. However the chances are slim and the
             * retry code should ensure the overall request
             * is serviced. The alternative complicates things
             * more than I think is worth it.
             */

*   [Learn ML with TensorFlow](https://www.tensorflow.org/resources/learn-ml)
*   [TensorFlow Twitter](https://twitter.com/tensorflow)
*   [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
*   [TensorFlow model optimization roadmap](https://www.tensorflow.org/model_optimization/guide/roadmap)
*   [TensorFlow White Papers](https://www.tensorflow.org/about/bib)

				}
				return false
			case results <- result:
				bgSeq.countScanned(madmin.HealItemObject)
				return true
			}
		}

		// Note: updates from healEntry to tracker must be sent on results channel.
		healEntry := func(bucket string, entry metaCacheEntry) {
			defer jt.Give()

			if entry.name == "" && len(entry.metadata) == 0 {
				// ignore entries that don't have metadata.
				return
			}