assertTrue(echoResponse.isError());
            assertTrue(echoResponse.isReceived());
            assertEquals(error, echoResponse.getException());
        }
    }

    // Helper methods to set protected fields via reflection
    private void setStatus(ServerMessageBlock2 smb, int status) throws Exception {
        Field statusField = ServerMessageBlock2.class.getDeclaredField("status");

 * It handles file access, directory listing, and access control entries (ACEs) processing.
 * </p>
 *
 * <p>
 * The class provides methods to:
 * </p>
 * <ul>
 *   <li>Initialize the client with SMB authentication details.</li>
 *   <li>Retrieve content and metadata from SMB files.</li>

 * <td>characters</td>
 * <td>&times;</td>
 * </tr>
 * </table>
 * <p>
 * Methods that take {@link InputStream}/{@link OutputStream}/{@link Reader}/{@link Writer} as arguments do not call {@link Closeable#close()} on the arguments. The caller is responsible for closing them.
 * </p>
 * <p>
 * Any {@link IOException} thrown by these methods is wrapped and thrown as an {@link IORuntimeException}.
 * </p>
 *
 * @author koichik

                channelExecutor.shutdownNow();
            }
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
        }
    }

    // Private helper methods

    private int getMaxChannelsFromConfig(Configuration config) {
        // In a real implementation, this would read from configuration
        return 4; // Default to 4 channels
    }

import java.util.HashMap;
import java.util.Map;

import jcifs.util.Encdec;
import jcifs.util.Strings;

/**
 * NDR (Network Data Representation) buffer for encoding and decoding DCE/RPC messages.
 * This class provides methods for reading and writing primitive types and strings
 * in NDR format for DCE/RPC communication.
 */
public class NdrBuffer {

    private int referent;
    private Map<Object, Entry> referents;

* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.

$ echo "Hello $Env:MY_NAME"

Hello Wade Wilson
```

</div>

////

### Umgebungsvariablen mit Python auslesen

Sie können Umgebungsvariablen auch außerhalb von Python im Terminal (oder mit einer anderen Methode) erstellen und diese dann mit Python auslesen.

Sie könnten zum Beispiel eine Datei `main.py` haben mit:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")

      this.join(10000);
      assertFalse(this.isAlive());
    }
  }

  public void testReentrantReadWriteLock_implDoesNotExposeShadowedLocks() {
    assertEquals(
        "Unexpected number of public methods in ReentrantReadWriteLock. "
            + "The correctness of CycleDetectingReentrantReadWriteLock depends on "
            + "the fact that the shadowed ReadLock and WriteLock are never used or "

      this.join(10000);
      assertFalse(this.isAlive());
    }
  }

  public void testReentrantReadWriteLock_implDoesNotExposeShadowedLocks() {
    assertEquals(
        "Unexpected number of public methods in ReentrantReadWriteLock. "
            + "The correctness of CycleDetectingReentrantReadWriteLock depends on "
            + "the fact that the shadowed ReadLock and WriteLock are never used or "

///

In Python, you can create Context Managers by <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">creating a class with two methods: `__enter__()` and `__exit__()`</a>.

You can also use them inside of **FastAPI** dependencies with `yield` by using
`with` or `async with` statements inside of the dependency function: