* convenient shortcut methods defined directly on {@link HashFunction} to make this easier.
 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *

 * convenient shortcut methods defined directly on {@link HashFunction} to make this easier.
 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *

workloads typically interact with object stores in the same way they do with HDFS. These workloads rely on HDFS atomic rename functionality to complete writing data to the datastore. Object storage operations are atomic by nature and they do not require/implement rename API. The default S3A committer emulates renames through copy and delete APIs. This interaction pattern causes significant loss of performance because of the write amplification. _Netflix_, for example, developed two new staging committers...

			err := api.Walk(ctx, r.Bucket, prefix, prefixResultCh, WalkOptions{
				Marker:       lastObject,
				LatestOnly:   false, // we need to visit all versions of the object to implement purge: retainVersions
				VersionsSort: WalkVersionsSortDesc,
			})
			if err != nil {
				cancelCause(err)
				xioutil.SafeClose(results)
				return
			}
			for result := range prefixResultCh {

  }

  public static <K, V> ImmutableSortedMap<K, V> copyOfSorted(SortedMap<K, ? extends V> map) {
    // If map has a null comparator, the keys should have a natural ordering,
    // even though K doesn't explicitly implement Comparable.
    @SuppressWarnings("unchecked")
    Comparator<? super K> comparator =
        (map.comparator() == null) ? (Comparator<? super K>) NATURAL_ORDER : map.comparator();
    return copyOfInternal(map, comparator);

	case sqlFnLower:
		return lowerCase(argVals[0])

	case sqlFnUpper:
		return upperCase(argVals[0])

	case sqlFnUTCNow:
		return handleUTCNow()

	case sqlFnToString, sqlFnToTimestamp:
		// TODO: implement
		fallthrough

	default:
		return nil, errNotImplemented
	}
}

func coalesce(args []*Value) (res *Value, err error) {
	for _, arg := range args {
		if arg.IsNull() {
			continue
		}

   * from [Call.execute]. Response bodies must be [closed][ResponseBody] and may
   * be consumed only once.
   *
   * This always returns an unreadable [ResponseBody], which may implement [ResponseBody.contentType] and [ResponseBody.contentLength], on responses returned from [cacheResponse], [networkResponse],
   * and [priorResponse].
   */
  @get:JvmName("body") val body: ResponseBody,
  /**

 * {@linkplain #identity() identity equivalence} and the {@linkplain #equals "equals" equivalence}.
 *
 * <p><b>For users targeting Android API level 24 or higher:</b> This class will eventually
 * implement {@code BiPredicate<T, T>} (as it does in the main Guava artifact), but we currently
 * target a lower API level. In the meantime, if you have support for method references you can use

  /*
   * Order is maintained using a linked list containing all key-value pairs. In
   * addition, a series of disjoint linked lists of "siblings", each containing
   * the values for a specific key, is used to implement {@link
   * ValueForKeyIterator} in constant time.
   */

  static final class Node<K extends @Nullable Object, V extends @Nullable Object>
      extends AbstractMapEntry<K, V> {

   * Reader#skip(long) skip} to the end of the stream, and return the total number of chars that
   * were skipped.
   *
   * <p>Note that for sources that implement {@link #lengthIfKnown} to provide a more efficient
   * implementation, it is <i>possible</i> that this method will return a different number of chars
   * than would be returned by reading all of the chars.
   *