};

// Returns the number of elements in the gradient tensor.
int64_t TapeVSpace::NumElements(AbstractTensorHandle* tensor) const {
  // TODO(srbs): It seems like this is used only for performance optimization
  // and not for correctness. The only downside of keeping this 1 seems to be
  // that the gradient accumulation is unbounded and we will never
  // aggressively aggregate accumulated gradients to recover memory.

	// Distributed lock owner (constant per running instance).
	erasureLockOwner string

	// List of endpoints provided on the command line.
	endpoints PoolEndpoints

	// String version of all the endpoints, an optimization
	// to avoid url.String() conversion taking CPU on
	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int

 * may cause corruption or runtime errors if not. It may however be shared amongst multiple OkHttpClient
 * instances.
 *
 * ## Cache Optimization
 *
 * To measure cache effectiveness, this class tracks three statistics:
 *
 *  * **[Request Count:][requestCount]** the number of HTTP requests issued since this cache was
 *    created.

fs.s3a.socket.recv.buffer=65536 # Read socket buffer hint
fs.s3a.socket.send.buffer=65536 # Write socket buffer hint
fs.s3a.threads.max=2048 # Maximum number of threads for S3A
```

The rest of the other optimization options are discussed in the links below

- [https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html](https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html)

It determines this based on the Workload xDS configuration it receives.
When a new identity is discovered on the node, it will be enqueued for fetching at a low priority, as an optimization.
However, if a request needs a certain identity that we have not fetched yet, it will be immediately requested.

					_, err := api.DeleteObject(ctx, exp.Bucket, encodeDirObject(exp.Name), ObjectOptions{
						DeletePrefix:       true,
						DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
					})
					if err != nil {
						stopFn(exp, err)
						batchLogIf(ctx, fmt.Errorf("Failed to expire %s/%s due to %v (attempts=%d)", exp.Bucket, exp.Name, err, attempts))
					} else {

	// The following code is basically called in for.
	// In order to avoid the performance problems caused by repeated compilation of regular expressions,
	// it only needs to be done once outside, so optimization is done here.
	if idx != -1 && regEnLetterAndMidline.MatchString(str[0:idx]) {
		name = str[0:idx]
	} else {
		name = rel.Schema.namer.RelationshipFKName(*rel)
	}

	constraint := Constraint{

$(foreach bin,$(LINUX_AGENT_BINARIES),$(eval $(call build-linux,$(bin),$(AGENT_TAGS))))

# Create helper targets for each binary, like "pilot-discovery"
# As an optimization, these still build everything
$(foreach bin,$(BINARIES),$(shell basename $(bin))): build
ifneq ($(TARGET_OUT_LINUX),$(LOCAL_OUT))

}

// ReadAll is a raw call, reads content at any path and returns the buffer.
func (s *xlStorage) ReadAll(ctx context.Context, volume string, path string) (buf []byte, err error) {
	// Specific optimization to avoid re-read from the drives for `format.json`
	// in-case the caller is a network operation.
	if volume == minioMetaBucket && path == formatConfigFile {
		s.RLock()
		formatData := make([]byte, len(s.formatData))

    }
    Iterator<E> iterator = iterable.iterator();
    if (!iterator.hasNext()) {
      return Optional.absent();
    }

    /*
     * TODO(kevinb): consider whether this "optimization" is worthwhile. Users with SortedSets tend
     * to know they are SortedSets and probably would not call this method.
     */
    if (iterable instanceof SortedSet) {