import java.util.RandomAccess;
import java.util.Set;
import java.util.Vector;
import junit.framework.AssertionFailedError;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Unit test for {@code Iterators}.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible(emulated = true)

// initialized when the provided function returns nil.

// Init represents the structure.
type Init struct {
	done uint32
	m    sync.Mutex
}

// Do is similar to sync.Once.Do - makes one successful
// call to the function. ie, it invokes the function
// if it is not successful yet.
func (l *Init) Do(f func() error) error {
	if atomic.LoadUint32(&l.done) == 0 {
		return l.do(f)
	}

但在这种情况下，如果你能带上 8 名前收银员/厨师，现在是清洁工一起清扫，他们中的每一个人（加上你）都能占据房子的一个区域来清扫，你就可以在额外的帮助下并行的更快地完成所有工作。

在这个场景中，每个清洁工（包括您）都将是一个处理器，完成这个工作的一部分。

由于大多数执行时间是由实际工作（而不是等待）占用的，并且计算机中的工作是由 <abbr title="Central Processing Unit">CPU</abbr> 完成的，所以他们称这些问题为"CPU 密集型"。

---

CPU 密集型操作的常见示例是需要复杂的数学处理。

例如：

* **音频**或**图像**处理；
* **计算机视觉**: 一幅图像由数百万像素组成，每个像素有3种颜色值，处理通常需要同时对这些像素进行计算；

set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,(at.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=ce.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){ce.fx.step[e.prop]?ce.fx.step[e.prop](e):1!==e.elem.nodeType||!ce.cssHooks[e.prop]&&null==e.elem.style[Ze(e.prop)]?e.elem[e.prop]=e.now:ce.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=at.propHooks.scrollLeft={set:funct...

                buff.project("project");
                slf4jLogger.debug(buff.toString());
            }
        }
    }

    // Needed to make this method package visible to make writing a unit test possible
    // Maybe it's better to move some of those methods to separate class (SoC).
    void properties(CliRequest cliRequest) throws Exception {
        Properties paths = new Properties();

   */
  public <E extends T> List<E> greatestOf(Iterable<E> iterable, int k) {
    // TODO(kevinb): see if delegation is hurting performance noticeably
    // TODO(kevinb): if we change this implementation, add full unit tests.
    return this.<E>reverse().leastOf(iterable, k);
  }

  /**
   * Returns the {@code k} greatest elements from the given iterator according to this ordering, in

# limitations under the License.

# Init script downloads or updates envoy and the go dependencies. Called from Makefile, which sets
# the needed environment variables.

set -o errexit
set -o nounset
set -o pipefail

if [[ "${TARGET_OUT_LINUX:-}" == "" ]]; then
  echo "Environment variables not set. Make sure you run through the makefile (\`make init\`) rather than directly."
  exit 1
fi

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package init

import "os"

func init() {
	// All MinIO operations must be under UTC.
	os.Setenv("TZ", "UTC")

import static org.apache.maven.cling.invoker.mvnenc.DefaultEncryptInvoker.OK;

/**
 * The "init" goal.
 */
@Singleton
@Named("init")
public class Init extends GoalSupport {
    private static final String NONE = "__none__";

    @Inject
    public Init(MessageBuilderFactory messageBuilderFactory, SecDispatcher secDispatcher) {
        super(messageBuilderFactory, secDispatcher);
    }

import org.opensearch.common.document.DocumentField;
import org.opensearch.common.settings.Settings;
import org.opensearch.common.settings.Settings.Builder;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.action.ActionListener;
import org.opensearch.core.action.ActionResponse;
import org.opensearch.core.rest.RestStatus;