*/
    @Override
    public int read(final byte[] b) throws IOException {
        return inputStream.read(b);
    }

    /**
     * Repositions this stream to the position at the time the mark method was last called.
     *
     * @throws IOException if this stream has not been marked or if the mark has been invalidated
     */
    @Override
    public synchronized void reset() throws IOException {

        }
        return sb.toString();
      }
    },
    // It really seems like this should be faster than TO_BYTE_ARRAY_NEW_STRING.  But it just isn't
    // my best guess is that the jdk authors have spent more time optimizing that callpath than this
    // one. (StringCoding$StringDecoder vs. StreamDecoder).  StringCoding has a ton of special cases
    // theoretically we could duplicate all that logic here to try to beat 'new String' or at least

 - End-to-end testing has been migrated from Ginkgo v1 to v2.

  When running test/e2e via the Ginkgo CLI, the v2 CLI must be used and `-timeout=24h` (or some other, suitable value) must be passed because the default timeout was reduced from 24h to 1h. When running it via `go test`, the corresponding `-args` parameter is `-ginkgo.timeout=24h`. To build the CLI in the Kubernetes repo, use `make all WHAT=github.com/onsi/ginkgo/v2/ginkgo`.

- Update to use golang 1.13.8 ([#87648](https://github.com/kubernetes/kubernetes/pull/87648), [@ialidzhikov](https://github.com/ialidzhikov)) [SIG Release and Testing]
- Validate kube-proxy flags --ipvs-tcp-timeout, --ipvs-tcpfin-timeout, --ipvs-udp-timeout ([#88657](https://github.com/kubernetes/kubernetes/pull/88657), [@chendotjs](https://github.com/chendotjs)) [SIG Network]

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

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.AccessTokenDbm;

/**

    * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all in your code).

   * addition, a series of disjoint linked lists of "siblings", each containing
   * the values for a specific key, is used to implement {@link
   * ValueForKeyIterator} in constant time.
   */

  static final class Node<K extends @Nullable Object, V extends @Nullable Object>
      extends SimpleEntry<K, V> {
    @Nullable Node<K, V> next; // the next node (with any key)

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

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.RelatedContentDbm;

/**

   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.
   * @param comparator the comparator by which the list is ordered.

         */
        protected boolean partial;
        /**
         * The time taken for the search query in milliseconds.
         */
        protected long queryTime;
        /**
         * The search query string.
         */
        protected String searchQuery;
        /**
         * The time when the search request was made.
         */
        protected long requestedTime;
        /**