SuggestItem.Kind[] kinds1 = { SuggestItem.Kind.QUERY };
        SuggestItem.Kind[] kinds2 = { SuggestItem.Kind.DOCUMENT, SuggestItem.Kind.QUERY };

        SuggestItem.Kind[] result = SuggestItem.concatKinds(kinds1, kinds2);

        assertNotNull(result);
        assertEquals(2, result.length); // Should not have duplicates
        assertTrue(Arrays.asList(result).contains(SuggestItem.Kind.QUERY));

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.WildcardQuery;
import org.codelibs.fess.Constants;

        return df.format(target) + unit;
    }

    /**
     * Generates URL query parameters for pagination, excluding the specified query parameter.
     *
     * @param query the query parameter to exclude from paging
     * @return URL-encoded query string for pagination
     */
    public static String pagingQuery(final String query) {
        return LaRequestUtil.getOptionalRequest().map(req -> {

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

 */
package org.codelibs.fess.query;

import org.apache.lucene.index.Term;
import org.apache.lucene.search.PhraseQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.exception.InvalidQueryException;
import org.opensearch.index.query.MatchPhraseQueryBuilder;

        return BucketOrder.count(false);
    }

    /**
     * Adds a query facet to the existing query array.
     * If no queries exist, creates a new array with the provided query.
     *
     * @param s the query string to add as a facet
     */
    public void addQuery(final String s) {
        if (query == null) {
            query = new String[] { s };
        } else {

///

## Modellattribute deklarieren

Dann können Sie `Field` mit Modellattributen deklarieren:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` funktioniert genauso wie `Query`, `Path` und `Body`, es hat die gleichen Parameter, usw.

/// note | Technische Details

{* ../../docs_src/path_params_numeric_validations/tutorial006_an_py39.py hl[13] *}

## Pour résumer

Avec `Query`, `Path` (et d'autres que vous verrez plus tard) vous pouvez déclarer des métadonnées et des validations de chaînes de la même manière qu'avec les [Paramètres de requête et validations de chaînes](query-params-str-validations.md){.internal-link target=_blank}.

Et vous pouvez également déclarer des validations numériques :

		xhttp.AmzSignature,
	)

	// Add missing query parameters if any provided in the request URL
	for k, v := range req.Form {
		if !defaultSigParams.Contains(k) {
			query[k] = v
		}
	}

	// Get the encoded query.
	encodedQuery := query.Encode()

	// Verify if date query is same.
	if req.Form.Get(xhttp.AmzDate) != query.Get(xhttp.AmzDate) {
		return ErrSignatureDoesNotMatch
	}

///

## Declarar atributos del modelo

Después puedes utilizar `Field` con los atributos del modelo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` funciona de la misma manera que `Query`, `Path` y `Body`, tiene todos los mismos parámetros, etc.

/// note | Detalles técnicos