doColumn("labeledURI");
        }

        public void columnMail() {
            doColumn("mail");
        }

        public void columnMobile() {
            doColumn("mobile");
        }

        public void columnName() {
            doColumn("name");
        }

        public void columnPager() {
            doColumn("pager");
        }

    public void test_exceptionChaining() {
        // Test exception chaining with multiple levels
        Exception rootCause = new Exception("Root cause");
        RuntimeException middleCause = new RuntimeException("Middle cause", rootCause);
        FessSystemException topException = new FessSystemException("Top level", middleCause);

        assertEquals("Top level", topException.getMessage());

        assertEquals(withCauseException.getCause(), withCauseException.getRootCause());

        // Test with nested causes
        RuntimeException middleCause = new RuntimeException("Middle", rootCause);
        TransportException nestedCauseException = new TransportException("Nested", middleCause);
        assertEquals(middleCause, nestedCauseException.getRootCause());

    public void test_constructor_withNestedCause() {
        // Test with nested exception causes
        Exception rootCause = new IllegalArgumentException("Root cause");
        Exception middleCause = new IllegalStateException("Middle cause", rootCause);
        DataStoreException exception = new DataStoreException("Top level error", middleCause);

        assertNotNull(exception);
        assertEquals("Top level error", exception.getMessage());

* Walidacja **złożonych struktur**:
    * Wykorzystanie hierarchicznych modeli Pydantic, Pythonowego modułu `typing` zawierającego `List`, `Dict`, itp.
    * Walidatory umożliwiają jasne i łatwe definiowanie, sprawdzanie złożonych struktur danych oraz dokumentowanie ich jako JSON Schema.

            EndpointPair.unordered(1, 1),
            EndpointPair.unordered(1, 3))
        .inOrder();
  }

  /**
   * Populates the graph with nodes and edges in a star shape with node `1` in the middle.
   *
   * <p>Note that the edges are added in a shuffled order to properly test the effect of the
   * insertion order.
   */
  private void populateTShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);

    // Test that listeners added both before and after the value is available
    // get called correctly.
    for (int i = 0; i < 20; i++) {

      // Right in the middle start up a thread to close the latch.
      if (i == 10) {
        new Thread(() -> latch.countDown()).start();
      }

      future.addListener(listenerLatch::countDown, exec);
    }

Importieren Sie `BaseSettings` aus Pydantic und erstellen Sie eine Unterklasse, ganz ähnlich wie bei einem Pydantic-Modell.

Auf die gleiche Weise wie bei Pydantic-Modellen deklarieren Sie Klassenattribute mit Typannotationen und möglicherweise Defaultwerten.

Sie können dieselben Validierungs-Funktionen und -Tools verwenden, die Sie für Pydantic-Modelle verwenden, z. B. verschiedene Datentypen und zusätzliche Validierungen mit `Field()`.

    public void test_exceptionChaining() {
        // Test exception chaining with multiple levels
        Exception rootCause = new Exception("Root cause");
        RuntimeException middleCause = new RuntimeException("Middle cause", rootCause);
        ContainerNotAvailableException topException = new ContainerNotAvailableException("dbConnection", middleCause);

        assertEquals("dbConnection is not available.", topException.getMessage());

        int result1 = response.readDataWireFormat(buffer, 0, sourceData.length);
        assertEquals(sourceData.length, result1);

        // Test with offset in middle
        byte[] outputBuffer2 = new byte[1024];
        TransCallNamedPipeResponse response2 = new TransCallNamedPipeResponse(mockConfig, outputBuffer2);
        System.arraycopy(sourceData, 0, buffer, 20, sourceData.length);