ist.interrupt();
            } catch (final Exception e) {
                logger.warn("Could not interrupt a thread of an input stream.", e);
            }

            final CountDownLatch latch = new CountDownLatch(3);
            final Process process = jobProcess.getProcess();
            new Thread(() -> {
                try {
                    CloseableUtil.closeQuietly(process.getInputStream());

   * The particular nature and strength of the guarantees made by the proxy is
   * implementation-dependent. However, it is important that each of the methods on the target
   * object behaves appropriately when its thread is interrupted.
   *
   * <p>For example, to return the value of {@code target.someMethod()}, but substitute {@code
   * DEFAULT_VALUE} if this method call takes over 50 ms, you can use this code:
   *
   * <pre>

    List<Thread> threads = new ArrayList<>(numThreads);
    List<Throwable> exceptions = new ArrayList<>(numThreads);
    for (int i = 0; i < numThreads; i++) {
      Thread thread = new Thread(task);
      thread.setUncaughtExceptionHandler(
          new UncaughtExceptionHandler() {
            @Override
            public void uncaughtException(Thread t, Throwable e) {
              exceptions.add(e);

        @Test
        @DisplayName("Should handle received notification")
        void testReceived() throws InterruptedException {
            CountDownLatch latch = new CountDownLatch(1);

            Thread waiter = new Thread(() -> {
                synchronized (response) {
                    try {
                        if (!response.isReceived()) {
                            response.wait(1000);
                        }

            // Create multiple threads to call size()
            Thread[] threads = new Thread[10];
            for (int i = 0; i < threads.length; i++) {
                threads[i] = new Thread(() -> {
                    for (int j = 0; j < 1000; j++) {
                        assertEquals(expectedSize, buffer.size());
                    }
                });
                threads[i].start();
            }

   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.
   */
  private transient volatile @Nullable Entry<K, V> cacheEntry;

                    success[index] = false;
                }
            });
            threads[i].start();
        }

        // Wait for all threads to complete
        for (Thread thread : threads) {
            thread.join();
        }

        // All threads should complete successfully
        for (boolean s : success) {
            assertTrue(s);
        }
    }

                    success[index] = false;
                }
            });
            threads[i].start();
        }

        // Wait for all threads to complete
        for (Thread thread : threads) {
            thread.join();
        }

        // All threads should complete successfully
        for (boolean s : success) {
            assertTrue(s);
        }
    }

import org.apache.logging.log4j.Logger;

/**
 * A thread that reads from an input stream line by line and maintains a buffer of recent lines.
 * This class provides functionality to read input stream data asynchronously,
 * optionally process each line with a callback function, and maintain a circular buffer
 * of recent lines for retrieval.
 */
public class InputStreamThread extends Thread {
    /** Logger instance for this class */

    Thread.currentThread().interrupt();
    try {
      getChecked(future, TwoArgConstructorException.class);
      fail();
    } catch (TwoArgConstructorException expected) {
      assertThat(expected).hasCauseThat().isInstanceOf(InterruptedException.class);
      assertTrue(Thread.currentThread().isInterrupted());
    } finally {
      Thread.interrupted();
    }
  }