assertEquals(0x0001, decodedHeader.getFlags());
        assertEquals(testSessionId, decodedHeader.getSessionId());
    }

    // Duplicate testFlags method removed - keeping the first one

    @ParameterizedTest
    @ValueSource(ints = { 0, 1, 64, 1024, 4096, 65536 })
    @DisplayName("Should handle various message sizes")
    void testVariousMessageSizes(int messageSize) {

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

            try {
                boost = Float.parseFloat(value);
            } catch (final Exception e) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Invalid boost value, keeping current: value={}, error={}", value, e.getMessage());
                }
            }
        }
    }

    @Override
    public String getIndexingTarget(final String input) {
        // always return true

    //                                                                           Attribute
    //                                                                           =========
    // keeping parsed request parameters, normal texts or uploaded files
    // keys are requested parameter names (treated as field name here)
    protected Map<String, Object> elementsAll; // lazy-loaded, then after not null

        // Create multiple versions
        for (int i = 0; i < 5; i++) {
            keyManager.rotateSessionKey(sessionId);
        }

        // Clean up, keeping only 2 versions
        keyManager.cleanupArchivedKeys(2);

        // Verify only recent versions are kept
        assertTrue(keyManager.hasSessionKey(sessionId + ".v4"), "Version 4 should exist");

If you are building an application or a web API, it's rarely the case that you can put everything in a single file.

**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility.

/// info

If you come from Flask, this would be the equivalent of Flask's Blueprints.

///

## An example file structure { #an-example-file-structure }

     */
    private final Map<String, List<Method>> methodByNameMap = new Hashtable<>();

    /**
     * Add a method to a list of methods by name.
     * For a particular class we are keeping track
     * of all the methods with the same name.
     *
     * @param method The method
     */
    void add(Method method) {
        String methodName = method.getName();

   * reconstructed using public factory methods. This ensures that the implementation types remain
   * as implementation details.
   *
   * <p>Since the bimap is immutable, ImmutableBiMap doesn't require special logic for keeping the
   * bimap and its inverse in sync during serialization, the way AbstractBiMap does.
   */
  @J2ktIncompatible // serialization
  private static final class SerializedForm<K, V> extends ImmutableMap.SerializedForm<K, V> {

1F630..1F633  ; valid                  ;      ; NV8    # 6.0  FACE WITH OPEN MOUTH AND COLD SWEAT..FLUSHED FACE
1F634         ; valid                  ;      ; NV8    # 6.1  SLEEPING FACE
1F635..1F640  ; valid                  ;      ; NV8    # 6.0  DIZZY FACE..WEARY CAT FACE
1F641..1F642  ; valid                  ;      ; NV8    # 7.0  SLIGHTLY FROWNING FACE..SLIGHTLY SMILING FACE

        }

        /**
         * Deletes old documents from the search index.
         * This method removes documents that were indexed in previous
         * crawling sessions for the same data configuration, keeping
         * only the documents from the current session.
         *
         * <p>The deletion process:</p>
         * <ul>
         *   <li>Checks if old document deletion is enabled</li>