CurlRequest.RequestProcessor processor1 = new CurlRequest.RequestProcessor("UTF-8", 1024);
        CurlRequest.RequestProcessor processor2 = new CurlRequest.RequestProcessor("ISO-8859-1", 2048);
        CurlRequest.RequestProcessor processor3 = new CurlRequest.RequestProcessor("UTF-16", 512);

        assertNotNull(processor1.getResponse());
        assertNotNull(processor2.getResponse());

	match     func(*DB) bool
	handler   func(*DB)
	processor *processor
}

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

   *     processor} throws an {@code IOException}
   * @since 16.0
   */
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  public <T extends @Nullable Object> T readLines(LineProcessor<T> processor) throws IOException {
    checkNotNull(processor);

    Closer closer = Closer.create();
    try {

   *
   * @param file the file to read
   * @param processor the object to which the bytes of the file are passed.
   * @return the result of the byte processor
   * @throws IOException if an I/O error occurs
   * @deprecated Prefer {@code asByteSource(file).read(processor)}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asByteSource(file).read(processor)",
      imports = "com.google.common.io.Files")

  /**
   * Process the bytes of the given input stream using the given processor.
   *
   * @param input the input stream to process
   * @param processor the object to which to pass the bytes of the stream
   * @return the result of the byte processor
   * @throws IOException if an I/O error occurs
   * @since 14.0
   */
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  @J2ktIncompatible

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.register(new TestSearcher(0)); // Empty searcher
            processor.register(new TestSearcher(50)); // Half-full searcher
            processor.init();

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.register(new NullDocumentSearcher());
            processor.init();

            // Should handle null documents gracefully
            final List<Map<String, Object>> results = processor.search("*", new TestSearchRequestParams(0, 10, 0), OptionalThing.empty());

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

        final CountDownLatch endLatch = new CountDownLatch(numThreads);
        final AtomicInteger registeredCount = new AtomicInteger(0);

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.init();

            final ExecutorService executor = Executors.newFixedThreadPool(numThreads);
            try {
                for (int i = 0; i < numThreads; i++) {

            this.modularJar = requireType(Type.MODULAR_JAR);
            this.processor = requireType(Type.PROCESSOR);
            this.classpathProcessor = requireType(Type.CLASSPATH_PROCESSOR);
            this.modularProcessor = requireType(Type.MODULAR_PROCESSOR);
            this.needsDerive = Set.of(Type.PROCESSOR, Type.CLASSPATH_PROCESSOR, Type.MODULAR_PROCESSOR);
            this.stack = new ArrayDeque<>();
        }