"""
            ),
        ],
        scope: Annotated[
            str,
            Form(),
            Doc(
                """
                A single string with actually several scopes separated by spaces. Each
                scope is also a string.

                For example, a single string with:

                ```python

 *   <li>{@code GCS_CREDENTIALS_FILE}: Path to service account JSON file (optional).</li>
 * </ul>
 *
 * <p>
 * The {@link GcsURLConnection} class handles the actual connection and data retrieval from the storage service.
 * </p>
 */
public class Handler extends URLStreamHandler {

    /**
     * Constructs a new Handler.
     */
    public Handler() {

 *   <li>{@code S3_SECRET_KEY}: The secret key for authentication.</li>
 *   <li>{@code S3_REGION}: The region of the S3 service (default: us-east-1).</li>
 * </ul>
 *
 * <p>
 * The {@link S3URLConnection} class handles the actual connection and data retrieval from the S3 service.
 * </p>
 */
public class Handler extends URLStreamHandler {

    /**
     * Constructs a new Handler.
     */
    public Handler() {

to get the MojoDescriptor for the goal that needs to be run. In the MojoDescriptor we are interested in the <configuration/> element and <parameters/> element. From these elements we need to make a component configuration for the MojoExecution. The actual DOM like structure we create is of type PlexusConfiguration and is the type we use with the ComponentConfigurator to initialize fields in a Plexus component. Typically this is done within Plexus with the configuration supplied with component configuration,...

 * <tr><td><code>settings.*</code></td>        <td></td>               <td></td></tr>
 * <tr><td><code>mojo.*</code></td>            <td></td>               <td>the actual {@link MojoExecution}</td></tr>
 * <tr><td><code>*</code></td>                 <td></td>               <td>user properties</td></tr>
 * <tr><td><code>*</code></td>                 <td></td>               <td>system properties</td></tr>

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

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

So, you might still need to use Pydantic models.

```Python
from unicorn import UnicornMiddleware

app = SomeASGIApp()

new_app = UnicornMiddleware(app, some_config="rainbow")
```

But FastAPI (actually Starlette) provides a simpler way to do it that makes sure that the internal middlewares handle server errors and custom exception handlers work properly.

For that, you use `app.add_middleware()` (as in the example for CORS).

 *
 * <p>This class supports both GET and POST methods for token and login
 * requests. It also allows for the replacement of placeholders in URLs and
 * parameters with actual credentials.
 *
 * <p>Usage example:
 * <pre>
 * {@code
 * Map<String, String> params = new HashMap<>();
 * params.put("token_url", "http://example.com/token");
 * params.put("login_url", "http://example.com/login");

    assertEquals(Integer.MAX_VALUE, ms.tailMultiset("a", CLOSED).size());
  }

  @J2ktIncompatible
  @GwtIncompatible // reflection
  @AndroidIncompatible // Reflection bug, or actual binary compatibility problem?
  public void testElementSetBridgeMethods() {
    for (Method m : TreeMultiset.class.getMethods()) {
      if (m.getName().equals("elementSet") && m.getReturnType().equals(SortedSet.class)) {

   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}
   * values (i.e. it is the square root of the mean of the squares of the vertical distances between