}
                    return transform(fromList, removeFirst);
                  }
                })
            .named("Lists.transform, sequential access, no nulls")
            .withFeatures(
                CollectionSize.ANY,
                ListFeature.REMOVE_OPERATIONS,
                CollectionFeature.SERIALIZABLE,

		name string
		args args
		want []string
	}{
		{
			name: "No duplicates",
			args: args{ports: []string{"1234", "2345"}},
			want: []string{"1234", "2345"},
		},
		{
			name: "Sequential Duplicates",
			args: args{ports: []string{"1234", "1234", "2345", "2345"}},
			want: []string{"1234", "2345"},
		},
		{
			name: "Mixed Duplicates",
			args: args{ports: []string{"1234", "2345", "1234", "2345"}},

“<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,

```

////

Agora o cliente irá receber a mesma resposta *HTTP 500 Internal Server Error*, mas o servidor terá nosso `InternalError` personalizado nos logs. 😎

## Execução de dependências com `yield`

A sequência de execução é mais ou menos como esse diagrama. O tempo passa do topo para baixo. E cada coluna é uma das partes interagindo ou executando código.

```mermaid
sequenceDiagram

participant client as Cliente

// large to fit in the [Scanner.Buffer]. When a scan stops, the reader may have
// advanced arbitrarily far past the last token. Programs that need more
// control over error handling or large tokens, or must run sequential scans
// on a reader, should use [bufio.Reader] instead.
type Scanner struct {
	r            io.Reader // The reader provided by the client.
	split        SplitFunc // The function to split the tokens.

      "FINE: Q10000 starting              : task",
      "FINE: Q10000 finished run in   0 µs: task",
    )
  }

  /** Inspect how many runnables have been enqueued. If none then we're truly sequential. */
  @Test fun singleQueueIsSerial() {
    redQueue.execute("task one", 100.µs) {
      log += "one:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    redQueue.execute("task two", 100.µs) {

пока компьютер / программа занимается другими важными вещами, с тем чтобы потом вернуться,
забрать результаты выполнения и начать их обрабатывать.

"Синхронное" исполнение (в противовес "асинхронному") также называют <abbr title="sequential">"последовательным"</abbr>,
потому что компьютер / программа последовательно выполняет все требуемые шаги перед тем, как перейти к следующей задаче,
даже если в процессе приходится ждать.

### Конкурентность и бургеры

 *
 * @since 21.0 (but only since 33.4.0 in the Android flavor)
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public final class Streams {
  /**
   * Returns a sequential {@link Stream} of the contents of {@code iterable}, delegating to {@link
   * Collection#stream} if possible.
   */
  public static <T extends @Nullable Object> Stream<T> stream(Iterable<T> iterable) {

- github.com/mitchellh/go-homedir: [v1.1.0](https://github.com/mitchellh/go-homedir/tree/v1.1.0)
- github.com/moby/sys/sequential: [v0.5.0](https://github.com/moby/sys/tree/sequential/v0.5.0)
- github.com/open-policy-agent/opa: [v0.67.1](https://github.com/open-policy-agent/opa/tree/v0.67.1)
- github.com/pelletier/go-toml: [v1.9.5](https://github.com/pelletier/go-toml/tree/v1.9.5)

## `async` ve `await`

Python'un modern sürümleri, asenkron kodu tanımlamanın çok sezgisel bir yoluna sahiptir. Bu, normal "sequentıal" (sıralı) kod gibi görünmesini ve doğru anlarda sizin için "awaıt" ile bekleme yapmasını sağlar.