// (in startSignal.await()), and the others waiting for that thread's result.
      while (thread.isAlive() && thread.getState() != Thread.State.WAITING) {
        Thread.yield();
      }
    }
    gettersStartedSignal.countDown();
    gettersComplete.await();

    List<Object> resultList = Lists.newArrayListWithExpectedSize(nThreads);
    for (int i = 0; i < nThreads; i++) {

                                    </div>
                                </div>
                                <%-- Extra Fields --%>
                                <c:forEach var="fieldName" items="${extraFieldNames}">
                                    <div class="form-group row">

   * NullPointerException} on null input.
   *
   * <p><b>Warning:</b> The returned function may not be <i>consistent with equals</i> (as
   * documented at {@link Function#apply}). For example, this function yields different results for
   * the two equal instances {@code ImmutableSet.of(1, 2)} and {@code ImmutableSet.of(2, 1)}.
   *
   * <p><b>Warning:</b> as with all function types in this package, avoid depending on the specific

            final String fieldName = jsonParser.getCurrentName();
            if (fieldName != null) {
                jsonParser.nextToken(); // Move to the value of the current field

                if (jsonParser.getCurrentToken() == JsonToken.START_ARRAY) {
                    nestedMap.put(fieldName, parseArray(jsonParser));

              @SuppressWarnings("ThreadPriorityCheck") // doing our best to test for races
              public void realRun() {
                while (!a.compareAndSet(0, 2.0, 3.0)) {
                  Thread.yield();
                }
              }
            });

    assertTrue(a.compareAndSet(0, 1.0, 2.0));
    awaitTermination(t);
    assertBitEquals(3.0, a.get(0));
  }

Vous pouvez utiliser toutes les mêmes fonctionnalités et outils de validation que pour les modèles Pydantic, comme différents types de données et des validations supplémentaires avec `Field()`.

{* ../../docs_src/settings/tutorial001_py310.py hl[2,5:8,11] *}

/// tip | Astuce

Si vous voulez quelque chose à copier-coller rapidement, n'utilisez pas cet exemple, utilisez le dernier ci-dessous.

///

`Annotated` 안에서 [Pydantic의 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator)를 사용하면 이를 구현할 수 있습니다.

/// tip | 팁

Pydantic에는 [BeforeValidator](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator)와 같은 다른 것들도 있습니다. 🤓

///

`exclude_defaults` 및 `exclude_none`에 대해 [Pydantic 문서](https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict)에 설명된 대로 사용할 수 있습니다.

///

#### 기본값이 있는 필드에 값이 있는 데이터 { #data-with-values-for-fields-with-defaults }

하지만 ID가 `bar`인 항목처럼, 기본값이 있는 모델의 필드에 값이 있다면:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

        void testSetDcerpcSecurityProvider() {
            // When: Setting security provider
            handle.setDcerpcSecurityProvider(mockSecurityProvider);

            // Then: Should not throw exception (private field, no direct verification)
            assertDoesNotThrow(() -> handle.setDcerpcSecurityProvider(mockSecurityProvider));
        }

        @Test
        @DisplayName("Should handle close operation")

        CountDownLatch startLatch = new CountDownLatch(1);
        CountDownLatch endLatch = new CountDownLatch(threadCount);

        // Use AtomicLong to simulate the fixed bytesEncrypted field
        AtomicLong mockBytesEncrypted = new AtomicLong(0);
        AtomicLong totalTime = new AtomicLong(0);
        AtomicInteger operations = new AtomicInteger(0);

        long overallStart = System.nanoTime();