// These values are set in the constructor
        // maxParameterCount should be 6
        // maxDataCount should be 0
        // maxSetupCount should be 0

        // Since these are protected fields, we can't access them directly
        // But we can verify the object is created successfully with these values
        assertNotNull(trans2SetFileInfo);
    }

    @Test
    @DisplayName("Test concurrent access")

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a

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

            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));

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.

///

        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();

Pydantic model'lerinde kullandığınız aynı doğrulama özelliklerini ve araçlarını burada da kullanabilirsiniz; örneğin farklı veri tipleri ve `Field()` ile ek doğrulamalar.

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

/// tip | İpucu

Hızlıca kopyalayıp yapıştırmak istiyorsanız bu örneği kullanmayın; aşağıdaki son örneği kullanın.

///

///

#### Дані зі значеннями для полів із типовими значеннями { #data-with-values-for-fields-with-defaults }

Але якщо ваші дані мають значення для полів моделі з типовими значеннями, як у елемента з ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",

///

#### Данные со значениями для полей, имеющих значения по умолчанию { #data-with-values-for-fields-with-defaults }

Но если в ваших данных есть значения для полей модели, для которых указаны значения по умолчанию, как у элемента с ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",