val executableCalls = mutableListOf<AsyncCall>()
    val isRunning: Boolean
    synchronized(this) {
      val i = readyAsyncCalls.iterator()
      while (i.hasNext()) {
        val asyncCall = i.next()

        if (runningAsyncCalls.size >= this.maxRequests) break // Max capacity.
        if (asyncCall.callsPerHost.get() >= this.maxRequestsPerHost) continue // Host max capacity.

        i.remove()

  }

  private static final DiscreteDomain<Integer> UNBOUNDED_DOMAIN =
      new DiscreteDomain<Integer>() {
        @Override
        public Integer next(Integer value) {
          return integers().next(value);
        }

        @Override
        public Integer previous(Integer value) {
          return integers().previous(value);
        }

        @Override

                        for (Iterator<ConflictResolver> j = conflictResolvers.iterator();
                                resolved == null && j.hasNext(); ) {
                            ConflictResolver conflictResolver = j.next();

                            resolved = conflictResolver.resolveConflict(previous, node);
                        }

                        if (resolved == null) {

   * The pointer to a key is stored in hashTable[Hashing.smear(key.hashCode()) % table.length],
   * save that if that location is already full, we try the next index, and the next, until we
   * find an empty table position.  Since the table has a power-of-two size, we use
   * & (table.length - 1) instead of % table.length, though.
   */

  private final transient @Nullable Object hashTable;

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 org.apache.commons.text.StringEscapeUtils;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.net.URLUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.web.sso.SsoAction;
import org.codelibs.fess.entity.SearchRequestParams.SearchRequestType;

import java.io.InterruptedIOException
import java.net.HttpURLConnection.HTTP_CLIENT_TIMEOUT
import java.net.HttpURLConnection.HTTP_MOVED_PERM
import java.net.HttpURLConnection.HTTP_MOVED_TEMP
import java.net.HttpURLConnection.HTTP_MULT_CHOICE
import java.net.HttpURLConnection.HTTP_PROXY_AUTH
import java.net.HttpURLConnection.HTTP_SEE_OTHER
import java.net.HttpURLConnection.HTTP_UNAUTHORIZED
import java.net.HttpURLConnection.HTTP_UNAVAILABLE

                SmbConstants.ATTR_DIRECTORY | SmbConstants.ATTR_HIDDEN | SmbConstants.ATTR_SYSTEM, null, null)) {
            while (it.hasNext()) {
                try (SmbResource r = it.next()) {
                    try (SmbFile ndest = new SmbFile(dest, r.getLocator().getName(), true, r.getLocator().getType(), r.getAttributes(),
                            r.createTime(), r.lastModified(), r.lastAccess(), r.length())) {

        int bufferIndex = 0;
        int len = 6;

        // Set up buffer with test data
        // available = 0x1234 (4660 in decimal)
        SMBUtil.writeInt2(0x1234, buffer, bufferIndex);
        // next 2 bytes (ignored in implementation)
        SMBUtil.writeInt2(0xABCD, buffer, bufferIndex + 2);
        // status = STATUS_CONNECTION_OK (3)

  }

  private static final int ENDPOINT = -2;

  // TODO(user): predecessors and successors should be collocated (reducing cache misses).
  // Might also explore collocating all of [hash, next, predecessor, successor] fields of an
  // entry in a *single* long[], though that reduces the maximum size of the set by a factor of 2

  /**

pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the process....