/** Confirm that [MultipartBody] and [MultipartReader] can work together. */
  @Test fun `multipart round trip`() {
    val body =
      MultipartBody
        .Builder("boundary")
        .setType(MultipartBody.PARALLEL)
        .addPart("Quick".toRequestBody("text/plain".toMediaType()))
        .addFormDataPart("color", "Brown")
        .addFormDataPart("animal", "fox.txt", "Fox".toRequestBody())
        .build()

        }
        final Deque<ActivationFrame> stk = new LinkedList<>();

        final Supplier<String> pathSupplier = () -> {
            final boolean parallel = false;
            return StreamSupport.stream(((Iterable<ActivationFrame>) stk::descendingIterator).spliterator(), parallel)
                    .map(f -> f.location)
                    .collect(Collectors.joining("."));
        };

### The abbr gives a full phrase { #the-abbr-gives-a-full-phrase }

* <abbr title="Getting Things Done">GTD</abbr>
* <abbr title="less than"><code>lt</code></abbr>
* <abbr title="XML Web Token">XWT</abbr>
* <abbr title="Parallel Server Gateway Interface">PSGI</abbr>

### The abbr gives an explanation { #the-abbr-gives-an-explanation }

   *
   * <p><b>Performance note:</b> The resulting stream is not <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
   * This may harm parallel performance.
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object, R extends @Nullable Object>
      Stream<R> zip(

único proceso ejecutando esos pasos previos incluso si después, inicias **múltiples procesos** (múltiples workers) para la propia aplicación. Si esos pasos fueran ejecutados por **múltiples procesos**, **duplicarían** el trabajo al ejecutarlo en **paralelo**, y si los pasos fueran algo delicado como una migración de base de datos, podrían causar conflictos entre sí.

Por supuesto, hay algunos casos en los que no hay problema en ejecutar los pasos previos múltiples veces, en ese caso, es mucho...

    }

    /**
     * Executes the actual crawling operations based on the provided options.
     * This method coordinates web/file system crawling and data store crawling,
     * running them in parallel threads when multiple types are requested.
     *
     * @param options crawling configuration options
     * @return exit code (Constants.EXIT_OK for success, Constants.EXIT_FAIL for failure)
     */

Vorab-Schritte ausführt, *auch* wenn Sie anschließend **mehrere Prozesse** (mehrere Worker) für die Anwendung selbst starten. Wenn diese Schritte von **mehreren Prozessen** ausgeführt würden, würden diese die Arbeit **verdoppeln**, indem sie sie **parallel** ausführen, und wenn es sich bei den Schritten um etwas Delikates wie eine Datenbankmigration handelt, könnte das miteinander Konflikte verursachen.

Natürlich gibt es Fälle, in denen es kein Problem darstellt, die Vorab-Schritte mehrmals...

single process running those previous steps *even* if afterwards, you start **multiple processes** (multiple workers) for the application itself. If those steps were run by **multiple processes**, they would **duplicate** the work by running it in **parallel**, and if the steps were something delicate like a database migration, they could cause conflicts with each other.

Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's...

        }
        return availableSearchers;
    }

    /**
     * Performs concurrent searches using multiple searchers and fuses the results.
     * Executes searches in parallel across all provided searchers, then combines the results
     * using rank fusion algorithms to produce a unified result set.
     *
     * @param searchers array of searchers to use for concurrent searching

    ChannelManager channelManager = session.getChannelManager();
    List<ChannelInfo> channels = channelManager.getHealthyChannels();
    int channelCount = Math.min(channels.size(), 4);  // Max 4 parallel reads
    
    int chunkSize = length / channelCount;
    List<CompletableFuture<Void>> futures = new ArrayList<>();
    
    for (int i = 0; i < channelCount; i++) {
        final int chunkOffset = i * chunkSize;