Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:

* for **input** the `description` will **not be required**
* for **output** it will be **required** (and possibly `None`, or in JSON terms, `null`)

### Model for Output in Docs

You can check the output model in the docs too, **both** `name` and `description` are marked as **required** with a **red asterisk**:

   * that this always returns {@code false} when {@code target} is {@code NaN}.
   *
   * @param array an array of {@code double} values, possibly empty
   * @param target a primitive {@code double} value
   * @return {@code true} if {@code array[i] == target} for some value of {@code i}
   */
  public static boolean contains(double[] array, double target) {

/**
 * Unit test for {@link FinalizableReferenceQueue}.
 *
 * @author Bob Lee
 */
// - depends on details of GC and classloading
// - .class files aren't available
// - possibly no real concept of separate ClassLoaders?
@AndroidIncompatible
@GwtIncompatible
public class FinalizableReferenceQueueTest extends TestCase {

  private @Nullable FinalizableReferenceQueue frq;

  @Override

   * that this always returns {@code false} when {@code target} is {@code NaN}.
   *
   * @param array an array of {@code float} values, possibly empty
   * @param target a primitive {@code float} value
   * @return {@code true} if {@code array[i] == target} for some value of {@code i}
   */
  public static boolean contains(float[] array, float target) {

   * that this always returns {@code false} when {@code target} is {@code NaN}.
   *
   * @param array an array of {@code float} values, possibly empty
   * @param target a primitive {@code float} value
   * @return {@code true} if {@code array[i] == target} for some value of {@code i}
   */
  public static boolean contains(float[] array, float target) {

    if (sawReturn || line.length() > 0) {
      finishLine(false);
    }
  }

  /**
   * Called for each line found in the character data passed to {@link #add}.
   *
   * @param line a line of text (possibly empty), without any line separators
   * @param end the line separator; one of {@code "\r"}, {@code "\n"}, {@code "\r\n"}, or {@code ""}
   * @throws IOException if an I/O error occurs
   */

    if (sawReturn || line.length() > 0) {
      finishLine(false);
    }
  }

  /**
   * Called for each line found in the character data passed to {@link #add}.
   *
   * @param line a line of text (possibly empty), without any line separators
   * @param end the line separator; one of {@code "\r"}, {@code "\n"}, {@code "\r\n"}, or {@code ""}
   * @throws IOException if an I/O error occurs
   */

   * that this always returns {@code false} when {@code target} is {@code NaN}.
   *
   * @param array an array of {@code double} values, possibly empty
   * @param target a primitive {@code double} value
   * @return {@code true} if {@code array[i] == target} for some value of {@code i}
   */
  public static boolean contains(double[] array, double target) {

### Create the `Settings` object

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

//// tab | Pydantic v2

    public DefaultProfileManager(PlexusContainer container) {
        this(container, null);
    }

    /**
     * the properties passed to the profile manager are the props that
     * are passed to maven, possibly containing profile activator properties
     *
     */
    public DefaultProfileManager(PlexusContainer container, Properties props) {
        try {
            this.profileSelector = container.lookup(ProfileSelector.class);