*/
    private long cleanupAccessResults(final List<OpenSearchAccessResult> accessResultList) {
        if (!accessResultList.isEmpty()) {
            final long execTime = systemHelper.getCurrentTimeAsLong();
            final int size = accessResultList.size();
            dataService.update(accessResultList);
            accessResultList.clear();
            final long time = systemHelper.getCurrentTimeAsLong() - execTime;

      @Override public EventListener create(Call call) {
        long callId = nextCallId.getAndIncrement();
        System.out.printf("%04d %s%n", callId, call.request().url());
        return new PrintingEventListener(callId, System.nanoTime());
      }
    };

    final long callId;
    final long callStartNanos;

    PrintingEventListener(long callId, long callStartNanos) {
      this.callId = callId;

    /** createdTime */
    protected Long createdTime;

    /** permissions */
    protected String[] permissions;

    /** reading */
    protected String reading;

    /** suggestWord */
    protected String suggestWord;

    /** updatedBy */
    protected String updatedBy;

    /** updatedTime */
    protected Long updatedTime;

    // [Referrers] *comment only

   */
  public long sum() {
    return map.values().stream().mapToLong(Long::longValue).sum();
  }

  @LazyInit private transient @Nullable Map<K, Long> asMap;

  /** Returns a live, read-only view of the map backing this {@code AtomicLongMap}. */
  public Map<K, Long> asMap() {
    Map<K, Long> result = asMap;
    return (result == null) ? asMap = createAsMap() : result;

     */
    public long getProjectWeight(MavenProject project) {
        // First check if weight is already calculated
        Long existingWeight = projectWeights.get(project);
        if (existingWeight != null) {
            return existingWeight;
        }

        // Calculate weight without using computeIfAbsent to avoid recursive update issues
        long weight = calculateWeight(project);

        private final int attributes;
        private final long createTime;
        private final long lastWriteTime;
        private final long lastAccessTime;
        private final long size;

        TestInfo(int attributes, long createTime, long lastWriteTime, long lastAccessTime, long size) {
            this.attributes = attributes;
            this.createTime = createTime;

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).

To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.

## `async` and `await` { #async-and-await }

     */
    static class TestableTransport extends Transport {
        private long nextKey = 1;
        private Long peekedKey = null;
        private IOException sendException = null;
        private IOException recvException = null;
        private boolean connectFails = false;
        private boolean disconnectResult = false;

        @Override
        protected long makeKey(Request request) throws IOException {
            return nextKey++;

     */
    protected final long tookMs;

    /**
     * The list of popular words.
     */
    protected final List<String> words;

    /**
     * The number of popular words.
     */
    protected final int num;

    /**
     * The total number of words.
     */
    protected final long total;

    /**
     * The list of suggested items.
     */

            threads[ti].start();
        }

        while (t.numComplete < t.numThreads) {
            long delay;

            do {
                delay = 2L;

                synchronized (t) {
                    final long expire = t.ltime + t.delay;
                    final long ctime = System.currentTimeMillis();

                    if (expire > ctime) {