### `///` admonitions

- Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
- If a title is present, prefer these canonical titles:

- `/// note | Not`
- `/// note | Teknik Detaylar`
- `/// tip | İpucu`
- `/// warning | Uyarı`

### `///` admonitions

1) Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
2) Many Traditional Chinese docs currently omit titles in `///` blocks; that is OK.
3) If a generic title is present, prefer these canonical titles:

- `/// note | 注意`

     */
    @Nonnull
    String getClassifier();

    /**
     * {@return the specific version, range of versions, or meta-version of the artifact}.
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.
     */
    @Nonnull
    VersionConstraint getVersionConstraint();

    /**
     * Returns the file extension of the artifact.
     * The dot separator is not included in the returned string.
     *

            false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnName = cci("name", "name", null, null, String.class, "name", null, false, false, false, "keyword", 0,
            0, null, null, false, null, null, null, null, null, false);

    public ColumnInfo columnGidNumber() {
        return _columnGidNumber;
    }

    public ColumnInfo columnName() {

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        int | None,
        Doc(
            """

* mount (verb): монтировать
* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий
* Machine Learning: Машинное обучение

- AWS S3's [reserved keywords](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-keyword-list.html) list is not yet respected.

    }

    /**
     * Parses the given query string and returns an array of keywords.
     *
     * @param q the query string to be parsed
     * @param field the field to be used for keyword extraction
     * @return an array of keywords extracted from the query string, or an empty array if the number of keywords exceeds the maximum allowed or if any keyword exceeds the maximum length
     */

		statusCode: 400,
		cause:      err,
	}
}

func errParseExpectedKeyword(err error) *s3Error {
	return &s3Error{
		code:       "ParseExpectedKeyword",
		message:    "Did not find the expected keyword in the SQL expression.",
		statusCode: 400,
		cause:      err,
	}
}

func errParseExpectedTokenType(err error) *s3Error {
	return &s3Error{
		code:       "ParseExpectedTokenType",

So, we get a Pydantic model from the data in another Pydantic model.

#### Unpacking a `dict` and extra keywords { #unpacking-a-dict-and-extra-keywords }

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

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

...ends up being like: