to avoid data races.
In the absence of data races, Go programs behave as if all the goroutines
were multiplexed onto a single processor.
This property is sometimes referred to as DRF-SC: data-race-free programs
execute in a sequentially consistent manner.
</p>

<p>
While programmers should write Go programs without data races,

              }
            }
            return waitingThreads;
          }

          @Override
          @SuppressWarnings("ThreadPriorityCheck") // doing our best to test for races
          public Boolean get() {
            // Check that this method is called exactly once, by the first
            // thread to synchronize.
            long t0 = System.nanoTime();

							NoAuditLog:        true,
						})
					// This can happen when rebalance stop races with ongoing rebalance workers.
					// These rebalance failures can be ignored.
					if err != nil {
						// This can happen when rebalance stop races with ongoing rebalance workers.
						// These rebalance failures can be ignored.

        .Builder()
        .addTrustedCertificate(rootCa.certificate)
        .build()
    client =
      clientTestRule
        .newClientBuilder()
        .fastFallback(false) // Avoid data races.
        .dns(dns)
        .sslSocketFactory(
          handshakeCertificates.sslSocketFactory(),
          handshakeCertificates.trustManager,
        ).build()
    val serverHandshakeCertificates =

          }
        },
        directExecutor());
    manager.startAsync();
    afterStarted.countDown();
    // We do not call awaitHealthy because, due to races, that method may throw an exception.  But
    // we really just want to wait for the thread to be in the failure callback so we wait for that
    // explicitly instead.
    failEnter.await();

      new AtomicReference<>(immediateVoidFuture());

  @LazyInit private ThreadConfinedTaskQueue latestTaskQueue = new ThreadConfinedTaskQueue();

  /**
   * This object is unsafely published, but avoids problematic races by relying exclusively on the
   * identity equality of its Thread field so that the task field is only accessed by a single
   * thread.
   */
  private static final class ThreadConfinedTaskQueue {
    /**

    assertEquals(getKey + suffix, map.get(getKey));
    assertEquals(refreshKey + suffix, map.get(refreshKey));
  }

  @SuppressWarnings("ThreadPriorityCheck") // doing our best to test for races
  public void testExpandDuringLoading() throws InterruptedException {
    int count = 3;
    AtomicInteger callCount = new AtomicInteger();
    // tells the computing thread when to start computing

							SkipDecommissioned: true, // make sure we skip the decommissioned pool
							NoAuditLog:         true,
						})
					if err != nil {
						// This can happen when rebalance stop races with ongoing rebalance workers.
						// These rebalance failures can be ignored.
						if isErrObjectNotFound(err) || isErrVersionNotFound(err) || isDataMovementOverWriteErr(err) {
							ignore = true
							stopFn(0, nil)

   * listeners for future n may complete before some for future n-1.) However, it is possible, if
   * one input completes with result X and another later with result Y, for Y to come before X in
   * the output future list. (Such races are impossible to solve without global synchronization of
   * all future completions. And they should have little practical impact.)
   *

	// generate a random bucket name.
	bucketName := getRandomBucketName()
	// Block 1: Testing for racy access
	// The assertion is removed from this block since the purpose of this block is to find races
	// The purpose this block is not to check for correctness of functionality
	// Run the test with -race flag to utilize this
	var wg sync.WaitGroup
	for range testConcurrencyLevel {
		wg.Add(1)
		go func() {