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 getConfigId() {
        return ConfigType.WEB.getConfigId(getId());

	// Test on a copy
	// cleanup is the only one deleting caches.
	caches, _ := b.cloneCaches()

	for id, cache := range caches {
		if !cache.worthKeeping() {
			b.debugf("cache %s not worth keeping", id)
			remove[id] = struct{}{}
			continue
		}
		if cache.id != id {
			logger.Info("cache ID mismatch %s != %s", id, cache.id)
			remove[id] = struct{}{}
			continue
		}

            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 getConfigId() {
        return ConfigType.FILE.getConfigId(getId());

		p.actionsLatency[a].add(duration)
	}
}

type currentPathTracker struct {
	name *unsafe.Pointer // contains atomically accessed *string
}

// currentPathUpdater provides a lightweight update function for keeping track of
// current objects for each disk.
// Returns a function that can be used to update the current object
// and a function to call to when processing finished.

            sb.setLength(0); // Reset length
        }
        return sb;
    }

    private void returnStringBuilder(StringBuilder sb) {
        if (sb != null && sb.capacity() < 2048) { // Avoid keeping very large builders
            stringBuilderPool.offer(sb);
        }
    }

    private Map<String, Object> getContextMap() {
        HashMap<String, Object> map = mapPool.poll();
        if (map == null) {

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

        // 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");

            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

	opts.DeletePrefix = deletePrefix
	opts.Versioned = globalBucketVersioningSys.PrefixEnabled(bucket, object)
	// Objects matching prefixes should not leave delete markers,
	// dramatically reduces namespace pollution while keeping the
	// benefits of replication, make sure to apply version suspension
	// only at bucket level instead.
	opts.VersionSuspended = globalBucketVersioningSys.Suspended(bucket)

        }

        /**
         * 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>