private WorkerRunningState workerRunningState = IDLE;

  /**
   * This counter prevents an ABA issue where a thread may successfully schedule the worker, the
   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be

### Expanding existing distributed setup

MinIO supports expanding distributed erasure coded clusters by specifying new set of clusters on the command-line as shown below:

```sh
export MINIO_ROOT_USER=<ACCESS_KEY>
export MINIO_ROOT_PASSWORD=<SECRET_KEY>
minio server http://host{1...n}/export{1...m} http://host{o...z}/export{1...m}
```

	return json.Marshal(formatV3)
}

// countErrs - count a specific error.
func countErrs(errs []error, err error) int {
	i := 0
	for _, err1 := range errs {
		if err1 == err || errors.Is(err1, err) {
			i++
		}
	}
	return i
}

// Does all errors indicate we need to initialize all disks?.
func shouldInitErasureDisks(errs []error) bool {
	return countErrs(errs, errUnformattedDisk) == len(errs)
}

	// the server.
	if countErrs(errs, errUnsupportedDisk) == len(errs) {
		return errUnsupportedDisk
	}

	if countErrs(errs, errDiskAccessDenied) == len(errs) {
		return errDiskAccessDenied
	}

	if countErrs(errs, errFileAccessDenied) == len(errs) {
		return errFileAccessDenied
	}

	if countErrs(errs, errDiskNotDir) == len(errs) {
		return errDiskNotDir
	}

  }

  private static class Counter<N extends Number> {
    @Keep List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

        final AtomicInteger counter = new AtomicInteger(0);
        final ForkJoinPool pool = new ForkJoinPool(10);
        for (int i = 0; i < 1000; i++) {
            pool.execute(() -> {
                assertEquals(result, crawlingInfoHelper.generateId(dataMap));
                counter.incrementAndGet();
            });
        }
        pool.shutdown();

   * which the superconstructor calls.
   */

  /**
   * Contains the link pointers corresponding with the entries, in the range of [0, size()). The
   * high 32 bits of each long is the "prev" pointer, whereas the low 32 bits is the "succ" pointer
   * (pointing to the nextEntry entry in the linked list). The pointers in [size(), entries.length)
   * are all "null" (UNSET).
   *

(which implies that it may not return a string, slice, channel, and so
forth). A Go function called by C code may take C pointers as arguments,
and it may store non-pointer data, C pointers, or Go pointers to pinned
memory through those pointers. It may not store a Go pointer to unpinned
memory in memory pointed to by a C pointer (which again, implies that it

                    return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);

container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for...