labels.searchlog_log_type_search_count_hour=Liczba wyszukiwań/godzinę
labels.searchlog_log_type_search_count_day=Liczba wyszukiwań/dzień
labels.searchlog_log_type_search_user_hour=Liczba użytkowników/godzinę
labels.searchlog_log_type_search_user_day=Liczba użytkowników/dzień
labels.searchlog_log_type_search_reqtimeavg_hour=Średni czas żądania/godzinę
labels.searchlog_log_type_search_reqtimeavg_day=Średni czas żądania/dzień

public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {
        return DoubleMath.factorial(n);
      }

      @Override
      public int gcdInt(int a, int b) {
        return IntMath.gcd(a, b);
      }

      @Override
      public long gcdLong(long a, long b) {
        return LongMath.gcd(a, b);
      }

      @Override

        result = KuromojiCSVUtil.parse(value);
        assertEquals(4, result.length);
        assertEquals("John Doe", result[0]);
        assertEquals("Software Engineer", result[1]);
        assertEquals("******@****.***", result[2]);
        assertEquals("\"Loves \"\"coding\"\" and coffee\"", result[3]);

labels.purgeByBots=Elimina per Bot
labels.logLevel=Livello di log
labels.purgeSearchLogDay=Elimina log di ricerca
labels.query=Query
labels.queryId=ID query
labels.rt=rt
labels.searchLog=Log di ricerca
labels.sort=Ordina
labels.start=Posizione iniziale
labels.loginRequired=Login richiesto
labels.loginLink=Mostra link di login
labels.threadName=Nome thread
labels.url=URL
labels.userFavorite=Log preferiti

### Development Workflow
1. **Fork** the repository on GitHub
2. **Create** your feature branch: `git checkout -b feature/amazing-feature`
3. **Follow** the coding standards: `mvn formatter:format`
4. **Add** comprehensive tests for new functionality
5. **Commit** your changes: `git commit -m 'Add amazing feature'`
6. **Push** to the branch: `git push origin feature/amazing-feature`

   * is always detected before reusing an edge, so no special logic is required. In the undirected
   * case, we must take care not to "backtrack" over an edge (i.e. going from A to B and then going
   * from B to A).
   */
  private static boolean canTraverseWithoutReusingEdge(
      Graph<?> graph, Object nextNode, @Nullable Object previousNode) {

   * is always detected before reusing an edge, so no special logic is required. In the undirected
   * case, we must take care not to "backtrack" over an edge (i.e. going from A to B and then going
   * from B to A).
   */
  private static boolean canTraverseWithoutReusingEdge(
      Graph<?> graph, Object nextNode, @Nullable Object previousNode) {

    assumeNotWindows()
    enableProtocol(Protocol.HTTP_2)
    val body =
      MockSocketHandler()
        .exhaustResponse()
        .receiveRequest("hey\n")
        .receiveRequest("whats going on\n")
        .exhaustRequest()
    server.enqueue(
      MockResponse
        .Builder()
        .clearHeaders()
        .addHeader("h1", "v1")
        .addHeader("h2", "v2")
        .socketHandler(body)

   */
  private static TestCase generateGuardWithWrongMonitorTestCase(
      Method method, boolean fair1, boolean fair2) {
    boolean timed = isTimed(method); // Not going to bother with all timeouts, just 0ms.
    return new TestCase(method.getName() + (timed ? "(0ms)" : "()") + "/WrongMonitor->IMSE") {
      @Override
      protected void runTest() throws Throwable {

    extends AbstractMap<K, V> implements Serializable {
  /*
   * TODO: Make this a drop-in replacement for j.u. versions, actually drop them in, and test the
   * world. Figure out what sort of space-time tradeoff we're actually going to get here with the
   * *Map variants. This class is particularly hard to benchmark, because the benefit is not only in
   * less allocation, but also having the GC do less work to scan the heap because of fewer