*
   * <p><b>{@code Stream} equivalent:</b> {@code stream.filter(predicate).findFirst()}.
   */
  public final Optional<@NonNull E> firstMatch(Predicate<? super E> predicate) {
    // Unsafe, but we can't do much about it now.
    return Iterables.<@NonNull E>tryFind((Iterable<@NonNull E>) getDelegate(), predicate);
  }

  /**
   * Returns a fluent iterable that applies {@code function} to each element of this fluent

   *
   * <p><b>{@code Stream} equivalent:</b> {@code stream.filter(predicate).findFirst()}.
   */
  public final Optional<@NonNull E> firstMatch(Predicate<? super E> predicate) {
    // Unsafe, but we can't do much about it now.
    return Iterables.<@NonNull E>tryFind((Iterable<@NonNull E>) getDelegate(), predicate);
  }

  /**
   * Returns a fluent iterable that applies {@code function} to each element of this fluent

You could also create a `JSONResponse` directly and return it.

/// tip

You will normally have much better performance using a [Response Model](../tutorial/response-model.md) than returning a `JSONResponse` directly, as that way it serializes the data using Pydantic, in Rust.

///

## Return a `Response` { #return-a-response }

import org.eclipse.aether.deployment.DeployRequest;
import org.eclipse.aether.installation.InstallRequest;

/**
 * Maven POM transformer.
 * TODO: rename this interface to "Transformer" as it can do much more than just transform POM.
 * @since TBD
 */
public interface PomArtifactTransformer {
    InstallRequest remapInstallArtifacts(RepositorySystemSession session, InstallRequest request);

### Summary { #summary }

I used to say I didn't like history that much... and look at me now giving "tech history" lessons. 😅

Having the return model ensure that a value is always available and always `int` (not `None`) is very useful for the API clients, they can write much simpler code having this certainty.

Also, **automatically generated clients** will have simpler interfaces, so that the developers communicating with your API can have a much better time working with your API. 😎

///

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

    assert response.status_code == 200, response.text
    assert response.json() == data


def test_model_with_tuple_invalid():
    data = {"items": [["foo", "bar"], ["baz", "whatelse", "too", "much"]]}
    response = client.post("/model-with-tuple/", json=data)
    assert response.status_code == 422, response.text

    data = {"items": [["foo", "bar"], ["baz"]]}
    response = client.post("/model-with-tuple/", json=data)

      if (useBarriers) {
        firstBarrier.await();
        secondBarrier.await();
      }
    }

    @Override
    protected ScheduledExecutorService executor() {
      // use a bunch of threads so that weird overlapping schedules are more likely to happen.
      return newScheduledThreadPool(10);
    }

    @Override
    protected Scheduler scheduler() {
      return new CustomScheduler() {

      if (useBarriers) {
        firstBarrier.await();
        secondBarrier.await();
      }
    }

    @Override
    protected ScheduledExecutorService executor() {
      // use a bunch of threads so that weird overlapping schedules are more likely to happen.
      return newScheduledThreadPool(10);
    }

    @Override
    protected Scheduler scheduler() {
      return new CustomScheduler() {