}
              });
      thread.start();
      // we want to wait until each thread is WAITING - one thread waiting inside CacheLoader.load
      // (in startSignal.await()), and the others waiting for that thread's result.
      while (thread.isAlive() && thread.getState() != Thread.State.WAITING) {
        Thread.yield();
      }
    }
    gettersStartedSignal.countDown();

                }
              });
      thread.start();
      // we want to wait until each thread is WAITING - one thread waiting inside CacheLoader.load
      // (in startSignal.await()), and the others waiting for that thread's result.
      while (thread.isAlive() && thread.getState() != Thread.State.WAITING) {
        Thread.yield();
      }
    }
    gettersStartedSignal.countDown();

                if (attempt < 10) {
                    Thread.sleep(500); // First 10 attempts: 0.5 second intervals
                } else if (attempt < 30) {
                    Thread.sleep(1000); // Next 20 attempts: 1 second intervals
                } else {
                    Thread.sleep(2000); // Remaining attempts: 2 second intervals
                }
            }
        }

            this.threads = 1;
            this.executor = null;
            this.plan = null;
        }

        public BuildPlan buildInitialPlan(List<TaskSegment> taskSegments) {
            int nThreads = Math.min(
                    session.getRequest().getDegreeOfConcurrency(),
                    session.getProjects().size());
            boolean parallel = nThreads > 1;

crawler.system.monitor.interval=60
# Whether to ignore idle threads in hot thread monitoring.
crawler.hotthread.ignore_idle_threads=true
# Interval for hot thread monitoring (e.g., 500ms).
crawler.hotthread.interval=500ms
# Number of snapshots for hot thread monitoring.
crawler.hotthread.snapshots=10
# Number of threads for hot thread monitoring.
crawler.hotthread.threads=3
# Timeout for hot thread monitoring (e.g., 30s).
crawler.hotthread.timeout=30s

                    throw new IllegalArgumentException("Invalid threads core multiplier value: '" + threadConfiguration
                            + "'. Value must be positive.");
                }

                int procs = Runtime.getRuntime().availableProcessors();
                int threads = (int) (coreMultiplier * procs);
                return threads == 0 ? 1 : threads;
            } else {

            ClassLoader oldContextClassLoader = Thread.currentThread().getContextClassLoader();
            try {
                return pomFiles.stream()
                        .map(pomFile -> build(pomFile, recursive))
                        .flatMap(List::stream)
                        .collect(Collectors.toList());
            } finally {
                Thread.currentThread().setContextClassLoader(oldContextClassLoader);

   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache

    override fun writeTo(sink: BufferedSink) {
      try {
        var i = 0
        while (i < contentLength()) {
          sink.write(chunk!!)
          sink.flush()
          Thread.sleep(100)
          i += chunk.size
        }
      } catch (e: IOException) {
        ioe = e
      } catch (e: InterruptedException) {
        throw RuntimeException(e)
      }
    }
  }

    for (Map.Entry<? extends V, ? extends K> entry : source.entries()) {
      dest.put(entry.getValue(), entry.getKey());
    }
    return dest;
  }

  /**
   * Returns a synchronized (thread-safe) multimap backed by the specified multimap. In order to
   * guarantee serial access, it is critical that <b>all</b> access to the backing multimap is
   * accomplished through the returned multimap.
   *