@BeforeEach
    void setUp() throws CIFSException {
        // Setup multi-channel configuration
        Properties props = new Properties();
        props.setProperty("jcifs.smb.client.useMultiChannel", "true");
        props.setProperty("jcifs.smb.client.maxChannels", "4");
        props.setProperty("jcifs.smb.client.loadBalancingStrategy", "adaptive");
        props.setProperty("jcifs.smb.client.channelHealthCheckInterval", "5");

	printCLIAccessMsg(strippedAPIEndpoints[0], "myminio")

	// Prints documentation message.
	printObjectAPIMsg()
	if globalIsDistErasure {
		logger.Startup(color.Bold(banner))
	}
}

// Returns true if input is IPv6
func isIPv6(host string) bool {
	h, _, err := net.SplitHostPort(host)
	if err != nil {
		h = host
	}
	ip := net.ParseIP(h)
	return ip.To16() != nil && ip.To4() == nil
}

If you want to receive partial updates, it's very useful to use the parameter `exclude_unset` in Pydantic's model's `.model_dump()`.

Like `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

```Python
item: Item = Body(embed=True)
```

Voici un exemple complet :

{* ../../docs_src/body_multiple_params/tutorial005_an_py310.py hl[17] *}

Dans ce cas **FastAPI** attendra un body semblable à :

```JSON hl_lines="2"
{

        boolean foundTestMethod = false;
        for (StackTraceElement element : stackTrace) {
            if (element.getMethodName().equals("test_stackTrace")) {
                foundTestMethod = true;
                break;
            }
        }
        assertTrue(foundTestMethod);
    }

    public void test_nestedExceptions() {
        // Test nested exception handling

        boolean foundTestMethod = false;
        for (StackTraceElement element : exception.getStackTrace()) {
            if ("test_stackTrace".equals(element.getMethodName())) {
                foundTestMethod = true;
                break;
            }
        }
        assertTrue(foundTestMethod);
    }

    public void test_serialVersionUID() {
        // Test that the exception is serializable

    return columnMap().keySet();
  }

  @Override
  public boolean containsValue(@Nullable Object value) {
    for (Map<C, V> row : rowMap().values()) {
      if (row.containsValue(value)) {
        return true;
      }
    }
    return false;
  }

  @Override
  public boolean contains(@Nullable Object rowKey, @Nullable Object columnKey) {
    Map<C, V> row = safeGet(rowMap(), rowKey);

### Uso del parámetro `exclude_unset` de Pydantic

Si quieres recibir actualizaciones parciales, es muy útil usar el parámetro `exclude_unset` en el `.model_dump()` del modelo de Pydantic.

Como `item.model_dump(exclude_unset=True)`.

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

```Python
item: Item = Body(embed=True)
```

so wie in:

{* ../../docs_src/body_multiple_params/tutorial005_an_py310.py hl[17] *}

In diesem Fall erwartet **FastAPI** einen Body wie:

```JSON hl_lines="2"
{
    "item": {

Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich.

Wie in `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.