}
            return true; // Signature verification succeeded
        } finally {
            this.signingLock.unlock();
        }
    }

    /**
     * Securely wipe signing key from memory
     */
    public void secureWipeKey() {
        this.signingLock.lock();
        try {
            if (this.signingKey != null) {
                java.util.Arrays.fill(this.signingKey, (byte) 0);

 * concurrently.
 */
class Dispatcher() {
  /**
   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  @get:Synchronized

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

 * if any intersection is found. The sizes of both arguments are assumed to be so small, and the
 * likelihood of an intersection so great, that it is not worth the CPU cost of sorting or the
 * memory cost of hashing.
 */
internal fun Array<String>.hasIntersection(
  other: Array<String>?,
  comparator: Comparator<in String>,
): Boolean {
  if (isEmpty() || other == null || other.isEmpty()) {
    return false

    LockFreeBitArray(long bits) {
      checkArgument(bits > 0, "data length is zero!");
      // Avoid delegating to this(long[]), since AtomicLongArray(long[]) will clone its input and
      // thus double memory usage.
      this.data =
          new AtomicLongArray(Ints.checkedCast(LongMath.divide(bits, 64, RoundingMode.CEILING)));
      this.bitCount = new LongAdder();
    }

    // Used by serialization

						SRDeleteOp: getSRBucketDeleteOp(globalSiteReplicationSys.isEnabled()),
					})
					writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
					return
				}

				// Load updated bucket metadata into memory.
				globalNotificationSys.LoadBucketMetadata(GlobalContext, bucket)

				// Make sure to add Location information here only for bucket
				w.Header().Set(xhttp.Location, pathJoin(SlashSeparator, bucket))

 readOnlyRootFilesyst: false # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of policies to be created after minio install ## ## In addition to default policies [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## you can define additional policies with custom supported actions and resources policies: []...

            assertEquals(
                    "1 problem was encountered while building the effective toolchains" + LS
                            + "[FATAL] Non-parseable toolchains (memory): MESSAGE @ line 4, column 2" + LS,
                    e.getMessage());
        }
    }

    @Test
    void testIOException() throws Exception {
        Source src = mock(Source.class);

   * listeners, see {@link Futures}. For a simplified but general listener interface, see {@link
   * Futures#addCallback addCallback()}.
   *
   * <p>Memory consistency effects: Actions in a thread prior to adding a listener <a
   * href="https://docs.oracle.com/javase/specs/jls/se7/html/jls-17.html#jls-17.4.5">
   * <i>happen-before</i></a> its execution begins, perhaps in another thread.

         * It's very unlikely that any loaded Futures class will see getChecked called with more
         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *