import org.codelibs.core.misc.DynamicProperties;
import org.codelibs.core.timer.TimeoutManager;
import org.codelibs.core.timer.TimeoutTask;
import org.codelibs.fess.Constants;
import org.codelibs.fess.crawler.client.FesenClient;
import org.codelibs.fess.exception.ContainerNotAvailableException;
import org.codelibs.fess.opensearch.client.SearchEngineClient;
import org.codelibs.fess.timer.SystemMonitorTarget;
import org.codelibs.fess.util.ComponentUtil;

        BufferCacheImpl impl = new BufferCacheImpl(cfg);

        // Verify interactions happen exactly once during construction
        verify(cfg, times(1)).getBufferCacheSize();
        verify(cfg, times(1)).getMaximumBufferSize();
        verifyNoMoreInteractions(cfg);

        // When cache is empty, getBuffer allocates a new buffer with configured size
        byte[] buf = impl.getBuffer();

        setTree(c, tree);

        // Act: first acquire triggers tree.acquire()
        c.acquire();
        verify(tree, times(1)).acquire();

        // Act: second acquire does not call tree.acquire again
        c.acquire();
        verify(tree, times(1)).acquire();

        // Act: first release does not release yet (usage -> 1)
        c.release();
        verify(tree, never()).release();

import org.apache.commons.lang3.SystemUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.timer.TimeoutTask;
import org.codelibs.fess.Constants;
import org.codelibs.fess.exception.JobProcessingException;
import org.codelibs.fess.exec.Crawler;
import org.codelibs.fess.helper.ProcessHelper;

// ResourceMetric represents a single resource metric
// The metrics are collected from all servers periodically
// and stored in the resource metrics map.
// It also maintains the count of number of times this metric
// was collected since the server started, and the sum,
// average and max values across the same.
type ResourceMetric struct {
	Name   MetricName
	Labels map[string]string

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.timer;

/**
 * This is an interface for handling timeouts.
 *
 * @author higa
 *
 */
@FunctionalInterface
public interface TimeoutTarget {

    /**
     * Describes the processing for a timeout.

        // Verify interactions: one create, two additional directory queries (for fetchMore), one close
        verify(tree, times(1)).send(argThat((Request<?> r) -> r instanceof Smb2CreateRequest));
        verify(tree, times(2)).send(argThat((Request<?> r) -> r instanceof Smb2QueryDirectoryRequest));
        verify(tree, times(1)).send(argThat((Request<?> r) -> r instanceof Smb2CloseRequest));
    }

    @Test

				// let recently failed networks to reconnect
				// making MRF wait for 1s before retrying,
				// i.e 4 reconnect attempts.
				time.Sleep(time.Second)
			}

			// wait on timer per heal
			wait := healSleeper.Timer(context.Background())

			scan := madmin.HealNormalScan
			if u.BitrotScan {
				scan = madmin.HealDeepScan
			}

			if u.Object == "" {
				healBucket(u.Bucket, scan)
			} else {

// corresponding error value. NB When there is more than one error value that
// occurs maximum number of times, the error value returned depends on how
// golang's map orders keys. This doesn't affect correctness as long as quorum
// value is greater than or equal to simple majority, since none of the equally
// maximal values would occur quorum or more number of times.
func reduceErrs(errs []error, ignoredErrs []error) (maxCount int, maxErr error) {

   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
   * is not guaranteed to return zero when the dataset consists of the same value multiple times,
   * due to numerical errors. However, it is guaranteed never to return a negative result.
   *
   * <h3>Non-finite values</h3>
   *