*     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 {

  @ParametricNullness
  public <T extends @Nullable Object> T read(ByteProcessor<T> processor) throws IOException {
    checkNotNull(processor);

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.readBytes(in, processor);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {

Guillaume Nodet <******@****.***> 1725988727 +0200

  /**
   * 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

///

---

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).

        List<InterpolationPostProcessor> processors = new ArrayList<>(2);
        if (projectDir != null) {
            processors.add(new PathTranslatingPostProcessor(
                    getProjectPrefixes(config), TRANSLATED_PATH_EXPRESSIONS, projectDir, pathTranslator));
        }
        processors.add(new UrlNormalizingPostProcessor(urlNormalizer));
        return processors;
    }

            return processedBytes;
          }
        };

    source.read(processor);
    assertTrue(source.wasStreamOpened() && source.wasStreamClosed());

    assertArrayEquals(bytes, processedBytes);
  }

  public void testRead_withProcessor_stopsOnFalse() throws IOException {
    ByteProcessor<@Nullable Void> processor =
        new ByteProcessor<@Nullable Void>() {
          boolean firstCall = true;

            return processedBytes;
          }
        };

    source.read(processor);
    assertTrue(source.wasStreamOpened() && source.wasStreamClosed());

    assertArrayEquals(bytes, processedBytes);
  }

  public void testRead_withProcessor_stopsOnFalse() throws IOException {
    ByteProcessor<@Nullable Void> processor =
        new ByteProcessor<@Nullable Void>() {
          boolean firstCall = true;

E também depois que a `response` é gerada, antes de retorná-la.

Por exemplo, você pode adicionar um cabeçalho personalizado `X-Process-Time` contendo o tempo em segundos que levou para processar a solicitação e gerar uma resposta:

```Python hl_lines="10  12-13"
{!../../docs_src/middleware/tutorial001.py!}
```

## Outros middlewares

 */
@Deprecated(since = "4.0.0")
public interface ModelVersionProcessor {

    /**
     * @param property the property to check
     * @return <code>true</code> if this is a valid property for this processor
     */
    boolean isValidProperty(String property);

    /**
     * This method is responsible for examining the request and possibly overwrite of the valid properties in the model
     *