speak = math.Max(math.Max(v[Small].Peak, speak), v[Small].Curr)
		if lpeak > 0 || speak > 0 {
			count++
		}
	}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{
			Avg:  savg / float64(count),
			Curr: scurr / float64(count),
			Peak: speak,
		}
		qs.XferStats[Large] = lrg
		qs.XferStats[Small] = sml

	sync.RWMutex
}

// Inc increments the api stats counter.
func (stats *HTTPAPIStats) Inc(api string) {
	if stats == nil {
		return
	}
	stats.Lock()
	defer stats.Unlock()
	if stats.apiStats == nil {
		stats.apiStats = make(map[string]int)
	}
	stats.apiStats[api]++
}

// Dec increments the api stats counter.
func (stats *HTTPAPIStats) Dec(api string) {
	if stats == nil {

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */

  @Override
  public int setCount(E element, int count) {
    checkIsE(element);
    checkNonnegative(count, "count");
    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;

{"attributes":{"fields":"[{\"name\":\"_id\",\"type\":\"string\",\"esTypes\":[\"_id\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_index\",\"type\":\"string\",\"esTypes\":[\"_index\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_score\",\"type\":\"number\",\"count\":0,\"scripted\":false,\"searchable\":false,\"aggregatable\":false,\"readFromDocValues\":fal...

     * Gets the total number of records in the search result set.
     *
     * @return the total record count
     */
    public long getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Gets the relation type for the total record count.
     *
     * @return the relation type (e.g., "eq" for exact count, "gte" for greater than or equal)
     */
    public String getAllRecordCountRelation() {

    /*
     * We keep an array of elements and counts.  Periodically -- when we need more room in the
     * array, or when we're building, or the like -- we sort, deduplicate, and combine the counts.
     * Negative counts indicate a setCount operation with ~counts[i].
     */

    private final Comparator<? super E> comparator;

    @VisibleForTesting E[] elements;
    private int[] counts;

    /*

context.setNumOfThread(10);       // Concurrent threads
```

### Accessing Results

```java
DataService ds = container.getComponent("dataService");

// Count
int count = ds.getCount(sessionId);

// Get by URL
AccessResult result = ds.getAccessResult(sessionId, url);

// Iterate all
ds.iterate(sessionId, accessResult -> {
    System.out.println(accessResult.getUrl());

app = FastAPI()

counter_holder = {"counter": 0}


async def dep_counter():
    counter_holder["counter"] += 1
    return counter_holder["counter"]


async def super_dep(count: int = Depends(dep_counter)):
    return count


@app.get("/counter/")
async def get_counter(count: int = Depends(dep_counter)):
    return {"counter": count}


@app.get("/sub-counter/")
async def get_sub_counter(

    /** Constructs an instance with all counts initialized to zero. */
    public SimpleStatsCounter() {}

    /**
     * @since 11.0
     */
    @Override
    public void recordHits(int count) {
      hitCount.add(count);
    }

    /**
     * @since 11.0
     */
    @Override
    public void recordMisses(int count) {
      missCount.add(count);
    }