}

  /**
   * A callback to be invoked each time the dispatcher becomes idle (when the number of running
   * calls returns to zero).
   *
   * Note: The time at which a [call][Call] is considered idle is different depending on whether it
   * was run [asynchronously][Call.enqueue] or [synchronously][Call.execute]. Asynchronous calls
   * become idle after the [onResponse][Callback.onResponse] or [onFailure][Callback.onFailure]

	sysCPULoadPerc  = "load_perc"
	sysCPUNice      = "nice"
	sysCPUSteal     = "steal"
	sysCPUSystem    = "system"
	sysCPUUser      = "user"
)

var (
	sysCPUAvgIdleMD   = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time")
	sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time")
	sysCPULoadMD      = NewGaugeMD(sysCPULoad, "CPU load average 1min")

  /** Returns the number of idle connections in the pool. */
  fun idleConnectionCount(): Int = delegate.idleConnectionCount()

  /** Returns total number of connections in the pool. */
  fun connectionCount(): Int = delegate.connectionCount()

  internal val connectionListener: ConnectionListener
    get() = delegate.connectionListener

  /** Close and remove all idle connections in the pool. */
  fun evictAll() {

          block()
          return -1L
        }
      },
      delayNanos,
    )
  }

  /** Returns a latch that reaches 0 when the queue is next idle. */
  fun idleLatch(): CountDownLatch {
    taskRunner.withLock {
      // If the queue is already idle, that's easy.
      if (activeTask == null && futureTasks.isEmpty()) {
        return CountDownLatch(0)
      }

class AddressPolicy(
  /**
   * How many concurrent calls should be possible to make at any time.
   * The pool will routinely try to pre-emptively open connections to satisfy this minimum.
   * Connections will still be closed if they idle beyond the keep-alive but will be replaced.
   */
  @JvmField val minimumConcurrentCalls: Int = 0,
  /** How long to wait to retry pre-emptive connection attempts that fail. */
  @JvmField val backoffDelayMillis: Long = 60 * 1000,

			exit 1
		fi

		(cd "${MC_BUILD_DIR}" && go build -o "$C_PWD/mc")

		# remove mc source.
		purge "${MC_BUILD_DIR}"
	fi

	"${MINIO[@]}" --address ":$start_port" --read-header-timeout ${srv_hdr_timeout}s --idle-timeout ${srv_idle_timeout}s "${WORK_DIR}/disk/" >"${WORK_DIR}/server1.log" 2>&1 &
	pid=$!
	disown $pid
	sleep 1

	if ! ps -p ${pid} 1>&2 >/dev/null; then
		echo "server1 log:"
		cat "${WORK_DIR}/server1.log"

        switch (resourceType) {
        case FILE_HANDLE:
            return "Close unused file handles or increase the file handle limit";
        case CONNECTION:
            return "Close idle connections or increase the connection pool size";
        case MEMORY:
            return "Reduce buffer sizes or increase heap memory";
        case DISK_SPACE:

 * used. HTTP/1.x connections can carry either zero or one streams. HTTP/2 connections can carry any
 * number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing
 * connection is typically faster than establishing a new one.
 *
 * When a single logical call requires multiple streams due to redirects or authorization

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;