assertEquals(FuzzyQuery.class, query.getClass());
        assertEquals("_default:fess", ((FuzzyQuery) query).getTerm().toString());

        query = queryParser.createDefaultFilterChain().parse("fess^10");
        assertEquals(BoostQuery.class, query.getClass());
        assertEquals("_default:fess", ((BoostQuery) query).getQuery().toString());

    return item_id


@app.get("/query")
def get_query(query):
    return f"foo bar {query}"


@app.get("/query/optional")
def get_query_optional(query=None):
    if query is None:
        return "foo bar"
    return f"foo bar {query}"


@app.get("/query/int")
def get_query_type(query: int):
    return f"foo bar {query}"


@app.get("/query/int/optional")

/** File generated by Grunt -- do not modify
 *  JQUERY-FORM-VALIDATOR
 *
 *  @version 2.3.77
 *  @website http://formvalidator.net/
 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

        facetInfo.query = new String[] { "query1", "query2" };
        facetInfo.addQuery("query3");
        assertNotNull(facetInfo.query);
        assertEquals(3, facetInfo.query.length);
        assertEquals("query1", facetInfo.query[0]);
        assertEquals("query2", facetInfo.query[1]);
        assertEquals("query3", facetInfo.query[2]);
    }

    // Test addQuery multiple times
    @Test

{* ../../docs_src/background_tasks/tutorial002_an_py310.py hl[13,15,22,25] *}


In this example, the messages will be written to the `log.txt` file *after* the response is sent.

If there was a query in the request, it will be written to the log in a background task.

And then another background task generated at the *path operation function* will write a message using the `email` path parameter.

                "ratio of equals/hashCode/compareTo operations to query %s with %s entries versus"
                    + " %s entries",
                query, largeSize, smallSize)
            .that(ratio)
            .isAtMost(
                2 * query.expectedAsymptotic(largeSize) / query.expectedAsymptotic(smallSize));
        // allow up to 2x wobble in the constant factors
      }
    }
  }

  private long getWorstCaseOps(

{* ../../docs_src/path_params_numeric_validations/tutorial006_an_py310.py hl[13] *}

## Pour résumer { #recap }

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).

Et vous pouvez également déclarer des validations numériques :

* `gt` : `g`reater `t`han

Beachten Sie, dass `Field` direkt von `pydantic` importiert wird, nicht von `fastapi`, wie die anderen (`Query`, `Path`, `Body`, usw.)

///

## Modellattribute deklarieren { #declare-model-attributes }

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

	stmt, err := db.prepare(ctx, db.ConnPool, false, query)
	if err == nil {
		rows, err = stmt.QueryContext(ctx, args...)
		if errors.Is(err, driver.ErrBadConn) {
			db.Stmts.Delete(query)
		}
	}
	return rows, err
}

func (db *PreparedStmtDB) QueryRowContext(ctx context.Context, query string, args ...interface{}) *sql.Row {

        - name: facet.field
          in: query
          description: Facet field name
          required: false
          style: form
          explode: true
          schema:
            type: array
            items:
              type: string
            example: [label]
        - name: facet.query
          in: query
          description: Facet query
          required: false
          style: form