* read operations anyway:
     *
     * - All (unsynchronized) read operations must first read the "count" field, and should not
     * look at table entries if it is 0.
     *
     * - All (synchronized) write operations should write to the "count" field after structurally
     * changing any bin. The operations must not take any action that could even momentarily

		}
		rw.Unlock()
		if err == nil && (fi.InlineData() || len(fi.Data) > 0) {
			break
		}
	}

	if err != nil {
		// We can only look for dangling if we received all the responses, if we did
		// not we simply ignore it, since we can't tell for sure if its dangling object.
		if totalResp == er.setDriveCount && shouldCheckForDangling(err, errs, bucket) {

     * read operations anyway:
     *
     * - All (unsynchronized) read operations must first read the "count" field, and should not
     * look at table entries if it is 0.
     *
     * - All (synchronized) write operations should write to the "count" field after structurally
     * changing any bin. The operations must not take any action that could even momentarily

 different computation approaches and orders.
    *   To verify if oneDNN optimizations are on, look for a message with *"oneDNN custom operations are on"* in the log. If the exact phrase is not there, it means they are off.

* Making the `tf.function` type system fully available:

	}

	for id, job := range m.metrics {
		metrics.Jobs[id] = job.metric()
	}
	return metrics
}

// keep job metrics for some time after the job is completed
// in-case some one wants to look at the older results.
func (m *batchJobMetrics) purgeJobMetrics() {
	t := time.NewTicker(6 * time.Hour)
	defer t.Stop()

	for {
		select {
		case <-GlobalContext.Done():
			return

   *
   * (To "go out of its way," the method tracks a `set` bit so that it can distinguish "the final
   * split has a last element of null, so throw NPE" from "the final split was empty, so look for an
   * element in the prior one.")
   */
  public static <T> java.util.Optional<T> findLast(Stream<T> stream) {
    class OptionalState {
      boolean set = false;
      @CheckForNull T value = null;

			return z.serverPools[poolIdx].CopyObject(ctx, srcBucket, srcObject, dstBucket, dstObject, srcInfo, srcOpts, dstOpts)
		}
		// Destination is versioned, source is not destination version,
		// as a special case look for if the source object is not legacy
		// from older format, for older format we will rewrite them as
		// newer using PutObject() - this is an optimization to save space

                        log.debug("Server " + this + " returned zero credits for " + curReq);
                    }
                    else {
                        log.warn("Server " + this + " took away all our credits");
                    }
                }
                else if ( !curReq.isResponseAsync() ) {
                    if ( log.isTraceEnabled() ) {

   * the computation -- makes sense, and if we don't convert it, the user still has to write a
   * try-catch block.
   *
   * If you think you would use this method, let us know. You might also look into the
   * Fork-Join framework: http://docs.oracle.com/javase/tutorial/essential/concurrency/forkjoin.html
   */

supported,\n  //  we use `translate3d` to apply the position to the popper we\n  // automatically use the supported prefixed version if needed\n  const prefixedProperty = getSupportedPropertyName('transform');\n\n  // now, let's make a step back and look at this code closely (wtf?)\n  // If the content of the popper grows once it's been positioned, it\n  // may happen that the popper gets misplaced because of the new content\n  // overflowing its reference element\n  // To avoid this problem, we provide...