this.scheduler = Executors.newScheduledThreadPool(1, r -> {
            Thread t = new Thread(r, "PersistentHandleManager");
            t.setDaemon(true);
            return t;
        });

        // Create state directory for persistent storage
        String stateDir = System.getProperty("jcifs.smb.client.handleStateDirectory");
        if (stateDir == null) {
            String homeDir = System.getProperty("user.home");

        Smb2LeaseKey key2 = leaseManager.requestLease(path, requestedState);

        assertEquals(key1, key2);
    }

    @Test
    @DisplayName("Should update lease state")
    void testUpdateLease() {
        String path = "/share/file.txt";
        int requestedState = Smb2LeaseState.SMB2_LEASE_FULL;
        int grantedState = Smb2LeaseState.SMB2_LEASE_READ_WRITE;

	for i, format := range formats {
		drive := endpoints.GetString(i)
		state := madmin.DriveStateCorrupt
		switch {
		case format != nil:
			state = madmin.DriveStateOk
		case sErrs[i] == errUnformattedDisk:
			state = madmin.DriveStateMissing
		case sErrs[i] == errDiskNotFound:
			state = madmin.DriveStateOffline
		}
		beforeDrives[i] = madmin.HealDriveInfo{
			UUID: func() string {

 *   <li>It is easy for the user to ensure that listeners are never invoked while holding locks.
 * </ul>
 *
 * The last point is subtle. Often the observable object will be managing its own internal state
 * using a lock, however it is dangerous to dispatch listeners while holding a lock because they
 * might run on the {@code directExecutor()} or be otherwise re-entrant (call back into your

        "type" : "keyword"
      },
      "destinationIndicator" : {
        "type" : "keyword"
      },
      "internationaliSDNNumber" : {
        "type" : "keyword"
      },
      "state" : {
        "type" : "keyword"
      },
      "employeeType" : {
        "type" : "keyword"
      },
      "facsimileTelephoneNumber" : {
        "type" : "keyword"
      },
      "postOfficeBox" : {

     */
    public DataConfigPager() {
        // Default constructor with explicit documentation
    }

    /**
     * Clears all paging state and search/filter parameters.
     * Resets the pager to its initial state with default values.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;

    @BeforeEach
    public void setUp() throws IOException {
        MockitoAnnotations.openMocks(this);

        // Create temporary directory for test state
        tempDir = Files.createTempDirectory("jcifs-test-handles");

        // Set system property for handle state directory
        System.setProperty("jcifs.smb.client.handleStateDirectory", tempDir.toString());

        when(mockContext.getConfig()).thenReturn(mockConfig);

    private ByteArrayOutputStream testOutput;
    private PrintStream testStream;
    private int originalLevel;

    @BeforeEach
    void setUp() throws Exception {
        // Save original state
        originalErr = System.err;
        originalLevel = LogStream.level;

        // Create test stream
        testOutput = new ByteArrayOutputStream();
        testStream = new PrintStream(testOutput);

```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

dann haben wir jetzt in der Variable `user_dict` ein `dict` mit den gleichen Daten (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

```Python
{
    'username': 'john',
    'password': 'secret',

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }