#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

   * implement {@link #load load} instead.
   *
   * <p>The returned object is serializable if {@code supplier} is serializable.
   *
   * @param supplier the supplier to be used for loading values; must never return {@code null}
   * @return a cache loader that loads values by calling {@link Supplier#get}, irrespective of the
   *     key
   */

		),
		"before.\n.1.\n.2.\n.3.\n.after.\n",
	},
	{
		"LOAD macro",
		lines(
			"#define LOAD(off, reg) \\",
			"\tMOVBLZX	(off*4)(R12),	reg \\",
			"\tADDB	reg,		DX",
			"",
			"LOAD(8, AX)",
		),
		"\n.\n.MOVBLZX.(.8.*.4.).(.R12.).,.AX.\n.ADDB.AX.,.DX.\n",
	},
	{
		"nested multiline macro",
		lines(
			"#define KEYROUND(xmm, load, off, r1, r2, index) \\",
			"\tMOVBLZX	(BP)(DX*4),	R8 \\",

	for i := range numReaders {
		wg.Add(1)
		go func(readerID int) {
			defer wg.Done()
			for range opsPerGoroutine {
				_ = httpStats.toServerHTTPStats(false)
				_ = httpStats.totalS3Requests.Load(false)
				_ = httpStats.currentS3Requests.Load(false)
				time.Sleep(1 * time.Microsecond)
			}
		}(i)
	}
	wg.Wait()

	finalStats := httpStats.toServerHTTPStats(false)
	totalRequests := 0

   * {@link CacheLoader#load} calls to {@code loader}.
   */
  static <K, V> CacheLoader<K, V> bulkLoader(CacheLoader<K, V> loader) {
    checkNotNull(loader);
    return new CacheLoader<K, V>() {
      @Override
      public V load(K key) throws Exception {
        return loader.load(key);
      }

      @Override

	defer t.updating.Unlock()

	if time.Since(time.UnixMilli(t.lastUpdateMs.Load())) < ttl {
		// There is a new value, release lock and return it.
		if v = t.val.Load(); v != nil {
			return *v, nil
		}
	}

	if err := t.update(ctx); err != nil {
		var empty T
		return empty, err
	}

	return *t.val.Load(), nil
}

// Get will return a cached value or fetch a new one.

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

	sysCPULoad      = "load"
	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")

		}

		httpStats := globalBucketHTTPStats.load(bucket)
		for k, v := range httpStats.currentS3Requests.Load(false) {
			m.Set(apiRequestsInFlightTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

		for k, v := range httpStats.totalS3Requests.Load(false) {
			m.Set(apiRequestsTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

// Sets read deadline
func (c *DeadlineConn) setReadDeadline() {
	// Do not set a Read deadline, if upstream wants to cancel all reads.
	if c.readDeadline <= 0 || c.abortReads.Load() || c.infReads.Load() {
		return
	}

	c.mu.Lock()
	defer c.mu.Unlock()
	if c.abortReads.Load() {
		return
	}

	now := time.Now()
	if now.Sub(c.readSetAt) > updateInterval {
		c.Conn.SetReadDeadline(now.Add(c.readDeadline + updateInterval))