* ...
   * synchronized (table) {  // Synchronizing on table, not row!
   *   Iterator<Entry<C, V>> i = row.entrySet().iterator(); // Must be in synchronized block
   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *

                    boolean notified = false;
                    final Iterator<Entry<Long, Response>> iterator = this.response_map.entrySet().iterator();
                    while (iterator.hasNext()) {
                        final Response resp = iterator.next().getValue();
                        resp.exception(ex);
                        iterator.remove();
                        notified = true;

   * into 29 bits):
   *
   * <ul>
   *   <li>If the IPv6 address contains an embedded IPv4 address, the function hashes that.
   *   <li>Otherwise, it hashes the upper 64 bits of the IPv6 address.
   * </ul>
   *
   * <p>A "coerced" IPv4 address is equivalent to itself.
   *

  }

  @Override
  public @Nullable K lastKey() {
    return sortedDelegate.lastKey();
  }

  @Nullable K higher(K k) {
    Iterator<K> iterator = keySet().tailSet(k).iterator();
    while (iterator.hasNext()) {
      K tmp = iterator.next();
      if (comparator().compare(k, tmp) < 0) {
        return tmp;
      }
    }
    return null;
  }

  @Override

      exchange?.detachWithViolence()
    }

    interceptorScopedExchange = null
  }

  fun retryAfterFailure(): Boolean =
    exchange?.hasFailure == true &&
      exchangeFinder!!.routePlanner.hasNext(exchange?.connection)

  /**
   * Returns a string that describes this call. Doesn't include a full URL as that might contain
   * sensitive information.
   */
  private fun toLoggableString(): String =
    (

   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public void addAll(Iterator<? extends Number> values) {
    while (values.hasNext()) {
      add(values.next().doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *
   * @param values a series of values
   */
  public void addAll(double... values) {

import java.net.MalformedURLException;
import java.net.URL;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import java.util.function.UnaryOperator;
import java.util.stream.Collectors;

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import java.util.HashSet;
import java.util.Set;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Stream;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.unit.UnitFessTestCase;

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "s3a"

fs.s3a.access.key=minio

    tester.testAllPublicInstanceMethods(BloomFilter.create(Funnels.unencodedCharsFunnel(), 100));
    tester.testAllPublicStaticMethods(BloomFilter.class);
  }

  /** Tests that we never get an optimal hashes number of zero. */
  public void testOptimalHashes() {
    for (int n = 1; n < 1000; n++) {
      for (double p = 0.1; p > 1e-10; p /= 10) {
        assertThat(BloomFilter.optimalNumOfHashFunctions(p)).isGreaterThan(0);