*
 * The task runner is also responsible for releasing held threads when the library is unloaded.
 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) : Lockable {
  private var nextQueueName = 10000

   * The maximum number of requests for each host to execute concurrently. This limits requests by
   * the URL's host name. Note that concurrent requests to a single IP address may still exceed this
   * limit: multiple hostnames may share an IP address or be routed through the same HTTP proxy.
   *
   * If more than [maxRequestsPerHost] requests are in flight when this is invoked, those requests
   * will remain in flight.
   *

    public String getWriteableName() {
        return queryBuilder.getWriteableName();
    }

    /**
     * Creates a Lucene Query from this query builder.
     *
     * @param context the query shard context
     * @return the Lucene Query
     * @throws IOException if an I/O error occurs
     */
    @Override
    public Query toQuery(final QueryShardContext context) throws IOException {

   *
   * Once true this is always true. Guarded by this.
   */
  var noNewExchanges = false

  /**
   * If true, this connection may not be used for coalesced requests. These are requests that could
   * share the same connection without sharing the same hostname.
   */
  private var noCoalescedConnections = false

  /**
   * The number of times there was a problem establishing a stream that could be due to route

    // TODO check for Jvm or handle Long/long correctly
//    assertThat(request.tag(Long::class)).isSameAs(longTag)
  }

  /** Confirm that we don't accidentally share the backing map between objects. */
  @Test
  fun tagsAreImmutable() {
    val builder =
      Request
        .Builder()
        .url("https://square.com")

manche
manchem
manchen
mancher
manches
mein
meine
meinem
meinen
meiner
meines
mit
muss
musste
nach
nicht
nichts
noch
nun
nur
ob
oder
ohne
sehr
sein
seine
seinem
seinen
seiner
seines
selbst
sich
sie
ihnen
sind
so
solche
solchem
solchen
solcher
solches
soll
sollte
sondern
sonst

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

		<groupId>org.codelibs.fess</groupId>
		<artifactId>fess-parent</artifactId>
		<version>15.2.0</version>
		<relativePath />
	</parent>
	<properties>
		<!-- DEB & RPM build -->
		<packaging.fess.home.dir>/usr/share/fess</packaging.fess.home.dir>
		<packaging.fess.app.dir>${packaging.fess.home.dir}/app</packaging.fess.app.dir>
		<packaging.fess.bin.dir>${packaging.fess.home.dir}/bin</packaging.fess.bin.dir>

            }
            if (path == null) {
                path = System.getenv("path");
            }
            final List<String> pathList = new ArrayList<>();
            pathList.add("/usr/share/fess/bin");
            if (path != null) {
                stream(path.split(File.pathSeparator)).of(stream -> stream.map(String::trim).forEach(s -> pathList.add(s)));
            }
            if (logger.isDebugEnabled()) {

waited till she heard a little animal (she couldn't guess of what
sort it was) scratching and scrambling about in the chimney close
above her:  then, saying to herself `This is Bill,' she gave one
sharp kick, and waited to see what would happen next.

  The first thing she heard was a general chorus of `There goes
Bill!' then the Rabbit's voice along--`Catch him, you by the