Object result = scriptEngine.evaluate(template, paramMap);
        assertEquals("Price: $100 (with 20% off)", result);
    }

    // Test evaluate method with nested expressions
    @Test
    public void test_evaluate_withNestedExpressions() {
        String template = "${level1.level2.value}";
        Map<String, Object> paramMap = new HashMap<>();

labels.name=Nombre
labels.numOfThread=Número de hilos
labels.duplicateHostName=Nombre duplicado
labels.pageNumber=Número de página
labels.password=Contraseña
labels.paths=Rutas
labels.port=Puerto
labels.regex=Expresión regular
labels.regularName=Nombre regular
labels.replacement=Reemplazo
labels.sessionId=ID de sesión
labels.sortOrder=Orden de clasificación
labels.updatedBy=Actualizado por
labels.updatedTime=Fecha de actualización

 *       create a "fake" converter for a unit test. It is unnecessary (and confusing) to <i>mock</i>
 *       the {@code Converter} type using a mocking framework.
 *   <li>Pass two lambda expressions or method references to the {@link #from from} factory method.
 *   <li>Extend this class and implement its {@link #doForward} and {@link #doBackward} methods.
 * </ul>
 *
 * <p>Using a converter:
 *
 * <ul>

     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.1.0.2.6.0.0-598
      /_/

Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_112)
Type in expressions to have them evaluated.
Type :help for more information.

scala>
```

- At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:

* el dict
* el diccionario
* la enumeración
* el enum
* el miembro del enum

* el codificador
* el decodificador
* codificar
* decodificar

* la excepción
* lanzar

* la expresión
* el statement

* el frontend
* el backend

* la discusión de GitHub
* el issue de GitHub

* el rendimiento
* la optimización de rendimiento

* el tipo de retorno

## Больше валидаций { #add-more-validations }

Можно также добавить параметр `min_length`:

{* ../../docs_src/query_params_str_validations/tutorial003_an_py310.py hl[10] *}

## Регулярные выражения { #add-regular-expressions }

Вы можете определить <dfn title="Регулярное выражение (regex, regexp) — это последовательность символов, задающая шаблон поиска для строк.">регулярное выражение</dfn> `pattern`, которому должен соответствовать параметр:

Sie können auch einen `min_length`-Parameter hinzufügen:

{* ../../docs_src/query_params_str_validations/tutorial003_an_py310.py hl[10] *}

## Reguläre Ausdrücke hinzufügen { #add-regular-expressions }

Você também pode adicionar um parâmetro `min_length`:

{* ../../docs_src/query_params_str_validations/tutorial003_an_py310.py hl[10] *}

## Adicione expressões regulares { #add-regular-expressions }

Você pode definir um `pattern` de <dfn title="Uma expressão regular (regex ou regexp) é uma sequência de caracteres que define um padrão de busca para strings.">expressão regular</dfn> que o parâmetro deve corresponder:

       * VarHandle in guava-android, even if they're unused under Android, we cause errors under
       * AGP: https://github.com/google/guava/issues/7769.
       *
       * My impression is that an AtomicReferenceFieldUpdater in a static field is similarly fast to
       * Unsafe on modern JVMs (if perhaps not quite as fast as VarHandle?). However, I'm not sure

   *     string} has a length of zero or cannot be parsed as a {@code float} value
   * @throws NullPointerException if {@code string} is {@code null}
   * @since 14.0
   */
  @GwtIncompatible // regular expressions
  public static @Nullable Float tryParse(String string) {
    if (Doubles.FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with
      // extensive testing