// Then: Should return binding's string representation
            assertEquals("mockBindingString", result);
        }
    }

    @Nested
    @DisplayName("Edge Cases and Error Handling")
    class EdgeCaseTests {

        @Test
        @DisplayName("Should handle null binding toString")
        void testToStringWithNullBinding() {
            // Given: Handle with null binding

Vor FastAPI 0.106.0 war das Werfen von Exceptions nach `yield` nicht möglich, der Exit-Code in Abhängigkeiten mit `yield` wurde ausgeführt, nachdem die Response gesendet wurde, sodass [Exceptionhandler](../tutorial/handling-errors.md#install-custom-exception-handlers){.internal-link target=_blank} bereits ausgeführt worden wären.

With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

 * <li>Manages cleanup of processed crawler session data</li>
 * </ul>
 *
 * <p>The updater runs continuously until crawling is finished and all documents are processed.
 * It includes error handling, retry logic, and performance monitoring capabilities.
 *
 */
public class IndexUpdater extends Thread {
    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(IndexUpdater.class);

 *
 * <p>Features:
 * <ul>
 *   <li>Automatic initialization of GCS client</li>
 *   <li>Support for HEAD and GET operations</li>
 *   <li>Content length validation</li>
 *   <li>MIME type detection</li>
 *   <li>Handling of large files through temporary file storage</li>
 *   <li>Object metadata retrieval</li>
 *   <li>Directory listing capabilities</li>
 * </ul>
 *

 *   <li>Extracting child URLs and adding them to the queue using {@link #storeChildUrls(Set, String, int)}
 *       or {@link #storeChildUrl(String, String, float, int)}.</li>
 *   <li>Handling exceptions that may occur during the crawling process.</li>
 * </ol>
 *
 * <p>
 * The thread also manages the active thread count using {@code crawlerContext.activeThreadCountLock}

## Recap { #recap }

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

   * translates to "almost empty buffers", which can be filled immediately.
   *
   * On the other hand, past underutilization could mean that "the server responsible for handling
   * the request has become less ready for future requests", i.e. its caches become stale, and
   * requests become more likely to trigger expensive operations (a more extreme case of this

        response2.readParametersWireFormat(buffer, 0, 6);
        assertEquals(0xFFFF, response2.getAvailable());
    }

    @Test
    @DisplayName("Test large buffer handling")
    void testLargeBufferHandling() {
        // Arrange
        byte[] largeBuffer = new byte[65536]; // 64KB buffer

        // Act & Assert

 * Katakana string into a list of possible Alphabet readings. It uses a predefined mapping of Katakana
 * characters to their Alphabet equivalents, handling both single and double Katakana character combinations.
 * </p>
 *
 * <p>
 * The conversion process involves iterating through the input string, identifying Katakana characters,