{* ../../docs_src/response_directly/tutorial002_py39.py hl[1,18] *}

### `HTMLResponse` { #htmlresponse }

Usa algum texto ou sequência de bytes e retorna uma resposta HTML. Como você leu acima.

### `PlainTextResponse` { #plaintextresponse }

Usa algum texto ou sequência de bytes para retornar uma resposta de texto não formatado.

{* ../../docs_src/custom_response/tutorial005_py39.py hl[2,7,9] *}

server.

Historically everything to MinIO was provided via command arguments for the hostnames and the drives via an ellipses syntax such as `minio server http://host{1...4}/disk{1...4}` this requirement added an additional burden to have sequential hostnames for us to make sure that we can provide horizontal distribution, however we have come across situations where sometimes this is not feasible and there are no easier alternatives without modifying /etc/hosts on the host system as root user....

  val mappingsBuffer = StringBuilder()
  val sectionIndexBuffer = Buffer()

  var previousMappedRanges: List<MappedRange>? = null

  for ((section, sectionMappedRanges) in sections) {
    // Skip sequential ranges when they are equal.
    if (sectionMappedRanges == previousMappedRanges) continue
    previousMappedRanges = sectionMappedRanges

    val sectionOffset = rangesBuffer.size.toInt() / 4

    // Section prefix.

 * set with <code>-T</code> on the command-line) and the number of projects to build. As such, building a single project
 * will always result in a sequential build, regardless of the thread count.
 * </p>
 * <strong>NOTE:</strong> This class is not part of any public api and can be changed or deleted without prior notice.
 *
 * @since 3.0

This is necessary for bookkeeping when creating new streams. Correct framing requires that stream IDs are sequential on the socket, so we need to bundle assigning the ID with sending the `SYN_STREAM` frame.

## Connection Pool

   * same result.
   */
  enum CollectStrategy {
    /** Get one accumulator and accumulate the elements into it sequentially. */
    SEQUENTIAL {
      @Override
      final <T extends @Nullable Object, A extends @Nullable Object, R extends @Nullable Object>
          A result(Collector<T, A, R> collector, Iterable<T> inputs) {

“<a href="https://dl.acm.org/doi/10.1145/1375581.1375591">Foundations of the C++ Concurrency Memory Model</a>”,
published in PLDI 2008.
The definition of data-race-free programs and the guarantee of sequential consistency
for race-free programs are equivalent to the ones in that work.
</p>

<p>
The memory model describes the requirements on program executions,
which are made up of goroutine executions,

package okhttp3.internal.concurrent

import java.util.concurrent.CountDownLatch
import java.util.concurrent.RejectedExecutionException
import okhttp3.internal.okHttpName

/**
 * A set of tasks that are executed in sequential order.
 *
 * Work within queues is not concurrent. This is equivalent to each queue having a dedicated thread
 * for its work; in practice a set of queues may share a set of threads to save resources.
 */

{* ../../docs_src/background_tasks/tutorial001_py39.py hl[14] *}

O `.add_task()` recebe como argumentos:

* Uma função de tarefa a ser executada em segundo plano (`write_notification`).
* Qualquer sequência de argumentos que deve ser passada para a função de tarefa na ordem (`email`).
* Quaisquer argumentos nomeados que devem ser passados para a função de tarefa (`message="some notification"`).

   * same result.
   */
  @IgnoreJRERequirement // *should* be redundant with the one on CollectorTester
  enum CollectStrategy {
    /** Get one accumulator and accumulate the elements into it sequentially. */
    SEQUENTIAL {
      @Override
      final <T extends @Nullable Object, A extends @Nullable Object, R extends @Nullable Object>
          A result(Collector<T, A, R> collector, Iterable<T> inputs) {