list = new ArrayList<>();
            fieldLogMap.put(field, list);
        }
        list.add(text);
    }

    /**
     * Gets the default field keywords from the field log.
     * @return List of keywords for the default field, or empty list if none.
     */
    public List<String> getDefaultKeyword() {
        if (fieldLogMap != null) {

 * including tracking information for optimistic locking and audit trails.
 * Elevate words are used to boost specific documents in search results when certain keywords are matched.
 *
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    /**

/**
 * Form class for creating new elevate word configuration entries.
 * This form handles the creation of elevate word rules that boost
 * specific documents in search results when certain keywords are matched.
 */
public class CreateForm {

    /**
     * Creates a new CreateForm instance.
     */
    public CreateForm() {
        // Default constructor
    }

 * including tracking information for optimistic locking and audit trails.
 * Key matches are used to promote specific documents when certain keywords are searched.
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    /**

#### CustomResourceDefinition Defaulting

CustomResourceDefinitions also have new support for defaulting, with defaults specified using the `default` keyword in the OpenAPI validation schema. Defaults are set for unspecified fields in an object sent to the API, and when reading from etcd.

Defaulting will be available as alpha in Kubernetes 1.15 and requires structural schemas.

   - Write clear messages: what changed and why (e.g., “Refactor S3 API handler to reduce latency so that requests process 20% faster”).
   - Rebase to tidy commits before submitting (e.g., `git rebase -i main` to squash typos or reword messages), unless multiple contributors worked on the branch.
   - Keep PRs focused—one feature or fix. Split large changes into multiple PRs.

3. **Testing**:
   - Include unit tests for new functionality or bug fixes.

  integrity sha512-F0SAmZ8iUtS//m8DmCTA0jlh6TDKkHQyK6xc6V4KDTyZKA9dnvX9/3sRTVQrWm79glUAZbnmmNcdYwUIHWVybw==

ajv-keywords@^3.5.2:
  version "3.5.2"
  resolved "https://registry.yarnpkg.com/ajv-keywords/-/ajv-keywords-3.5.2.tgz#31f29da5ab6e00d1c2d329acf7b5929614d5014d"
  integrity sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==

ajv@^6.12.5:

Así, obtenemos un modelo Pydantic a partir de los datos en otro modelo Pydantic.

#### Desempaquetando un `dict` y palabras clave adicionales { #unpacking-a-dict-and-extra-keywords }

Y luego agregando el argumento de palabra clave adicional `hashed_password=hashed_password`, como en:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

...termina siendo como:

Auf diese Weise erhalten wir ein Pydantic-Modell aus den Daten eines anderen Pydantic-Modells.

#### Ein `dict` entpacken und zusätzliche Schlüsselwort-Argumente { #unpacking-a-dict-and-extra-keywords }

Und dann fügen wir das zusätzliche Schlüsselwort-Argument `hashed_password=hashed_password` hinzu, wie in:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

Таким образом мы получаем Pydantic-модель на основе данных из другой Pydantic-модели.

#### Распаковка `dict` и дополнительные именованные аргументы { #unpacking-a-dict-and-extra-keywords }

И затем, если мы добавим дополнительный именованный аргумент `hashed_password=hashed_password` как здесь:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```