# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

# Tipos de Datos Extra

Hasta ahora, has estado usando tipos de datos comunes, como:

* `int`
* `float`
* `str`
* `bool`

Pero también puedes usar tipos de datos más complejos.

Y seguirás teniendo las mismas funcionalidades como hasta ahora:

* Gran soporte de editor.
* Conversión de datos de requests entrantes.
* Conversión de datos para datos de response.
* Validación de datos.
* Anotación y documentación automática.

    }

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Equal(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setBoost_Term(boost, opLambda);
    }

    public void setBoost_Term(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Term(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {

    }

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Equal(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setBoost_Term(boost, opLambda);
    }

    public void setBoost_Term(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Term(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {

        Term term = new Term("title", "fuzzy");
        FuzzyQuery fuzzyQuery = new FuzzyQuery(term);

        // Test with different boost values
        float[] boostValues = { 0.5f, 1.0f, 2.5f, 10.0f };
        for (float boost : boostValues) {
            QueryBuilder result = queryProcessor.execute(context, fuzzyQuery, boost);
            assertNotNull(result);

     * The method evaluates the boost expression and converts the result to a float value.
     * Supports Integer, Long, Float, Double, and String representations of numbers.
     *
     * @param map the document data as a map of field names to values
     * @return the calculated boost value as a float, or 0.0f if evaluation fails
     */
    public float getValue(final Map<String, Object> map) {
        if (map == null || map.isEmpty()) {

* Ontworpen op basis van deze standaarden, na zorgvuldig onderzoek. In plaats van achteraf deze laag er bovenop te bouwen.
* Dit maakt het ook mogelijk om automatisch **clientcode te genereren** in verschillende programmeertalen.

### Automatische documentatie

    @Override
    protected String getQueryClassName() {
        return TermQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final TermQuery termQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("{}:{}", query, boost);
            }

    Map<Float, String> m = ImmutableMap.of(4.0f, "A", 3.0f, "B", 2.0f, "C", 1.0f, "D");
    Predicate<? super Integer> h = Predicates.equalTo(42);
    Function<? super String, Integer> g = new HashCodeFunction();
    Function<Float, String> f = Functions.forMap(m, "F");

    Predicate<Float> p1 = Predicates.compose(Predicates.compose(h, g), f);
    Predicate<Float> p2 = Predicates.compose(h, Functions.compose(g, f));

# ➕ 💽 🆎

🆙 🔜, 👆 ✔️ ⚙️ ⚠ 📊 🆎, 💖:

* `int`
* `float`
* `str`
* `bool`

✋️ 👆 💪 ⚙️ 🌅 🏗 📊 🆎.

& 👆 🔜 ✔️ 🎏 ⚒ 👀 🆙 🔜:

* 👑 👨‍🎨 🐕‍🦺.
* 💽 🛠️ ⚪️➡️ 📨 📨.
* 💽 🛠️ 📨 💽.
* 💽 🔬.
* 🏧 ✍ & 🧾.

## 🎏 💽 🆎

📥 🌖 📊 🆎 👆 💪 ⚙️:

* `UUID`:
    * 🐩 "⭐ 😍 🆔", ⚠ 🆔 📚 💽 & ⚙️.
    * 📨 & 📨 🔜 🎨 `str`.
* `datetime.datetime`:
    * 🐍 `datetime.datetime`.