* 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://www.hpl.hp.com/techreports/2008/HPL-2008-56.pdf">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,

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....

import java.util.logging.Logger
import kotlin.concurrent.withLock
import okhttp3.OkHttpClient
import okhttp3.TestUtil.threadFactory

/**
 * Runs a [TaskRunner] in a controlled environment so that everything is sequential and
 * deterministic.
 *
 * This class ensures that at most one thread is running at a time. This is initially the JUnit test
 * thread, which yields its execution privilege while calling [runTasks], [runNextTask], or

import java.util.concurrent.locks.ReentrantLock
import kotlin.concurrent.withLock
import okhttp3.internal.assertNotHeld
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.
 */

  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.

```Python hl_lines="14"
{!../../docs_src/background_tasks/tutorial001.py!}
```

`.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 (`mensagem = "alguma notificação"`).

## Injeção de dependência

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

A queue is used to give a few properties:
* Ability to serially process updates received from a variety of different sources. This avoids need for other synchronization mechanisms like mutexes.
* Correctness at startup; with the sequencing above, items are only processed once all informers are synced. This means queries will not return stale data at startup.
* Deduping of identical events
* Automatic retrying of failed events (configurable)

For "synchronous" (contrary to "asynchronous") they commonly also use the term "sequential", because the computer / program follows all the steps in sequence before switching to a different task, even if those steps involve waiting.

### Concurrency and Burgers