final String key = ComponentUtil.getVirtualHostHelper().getVirtualHostKey();
        keywordList.stream().forEach(keyword -> {
            final List<Tuple3<String, QueryBuilder, ScoreFunctionBuilder<?>>> boostList = getQueryMap(key).get(toLowerCase(keyword));
            if (boostList != null) {
                boostList.forEach(pair -> list.add(new FilterFunctionBuilder(pair.getValue2(), pair.getValue3())));
            }
        });

            for (String keyword : query.split(" ")) {
                if (keyword.equals("AND")) {
                    continue;
                }
                assertTrue(
                        doc.entrySet()
                                .stream()
                                .anyMatch(entry -> entry.getValue().toString().toLowerCase().contains(keyword.toLowerCase())),

                .put("analysis.analyzer.test_reading_analyzer_ja.tokenizer", "keyword")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.tokenizer", "keyword")
                .build();

        CreateIndexResponse createIndexResponse =

///

## Recap { #recap }

You can use Pydantic's `Field` to declare extra validations and metadata for model attributes.

- 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.

...Python has a little special syntax for that.

Pass `*`, as the first parameter of the function.

Python won't do anything with that `*`, but it will know that all the following parameters should be called as keyword arguments (key-value pairs), also known as <abbr title="From: K-ey W-ord Arg-uments"><code>kwargs</code></abbr>. Even if they don't have a default value.

{* ../../docs_src/path_params_numeric_validations/tutorial003.py hl[7] *}

     *
     * @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
     */
    public static String[] parseQuery(final String q, final String field) {

`.add_task()` receives as arguments:

* A task function to be run in the background (`write_notification`).
* Any sequence of arguments that should be passed to the task function in order (`email`).
* Any keyword arguments that should be passed to the task function (`message="some notification"`).

## Dependency Injection { #dependency-injection }

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.dict(), hashed_password=hashed_password)
```

...ends up being like:

```Python
UserInDB(

    })
    .analyzerSettings(analyzerSettings -> {
        analyzerSettings.setReadingAnalyzer("kuromoji_reading");
        analyzerSettings.setNormalizeAnalyzer("keyword");
    })
    .badWordSettings(badWordSettings -> {
        badWordSettings.setList(new String[]{"blocked", "terms"});
    })
    .elevateWordSettings(elevateWordSettings -> {