return false;
        }
        prev = next;
      }
    }
    return true;
  }

  /**
   * Returns a {@code Collector} that returns the {@code k} smallest (relative to the specified
   * {@code Comparator}) input elements, in ascending order, as an unmodifiable {@code List}. Ties
   * are broken arbitrarily.
   *
   * <p>For example:
   *
   * {@snippet :

  public static Closer create() {
    return new Closer(SUPPRESSING_SUPPRESSOR);
  }

  @VisibleForTesting final Suppressor suppressor;

  // only need space for 2 elements in most cases, so try to use the smallest array possible
  private final Deque<Closeable> stack = new ArrayDeque<>(4);
  private @Nullable Throwable thrown;

  @VisibleForTesting
  Closer(Suppressor suppressor) {

 * layer primitives: connections, requests, responses, and streams.
 *
 * This class supports [asynchronous canceling][cancel]. This is intended to have the smallest
 * blast radius possible. If an HTTP/2 stream is active, canceling will cancel that stream but not
 * the other streams sharing its connection. But if the TLS handshake is still in progress then

func getStorageInfo(disks []StorageAPI, endpoints []Endpoint, metrics bool) StorageInfo {
	disksInfo := getDisksInfo(disks, endpoints, metrics)

	// Sort so that the first element is the smallest.
	sort.Slice(disksInfo, func(i, j int) bool {
		return disksInfo[i].TotalSpace < disksInfo[j].TotalSpace
	})

	storageInfo := StorageInfo{
		Disks: disksInfo,
	}

          return false;
        }
        prev = next;
      }
    }
    return true;
  }

  /**
   * Returns a {@code Collector} that returns the {@code k} smallest (relative to the specified
   * {@code Comparator}) input elements, in ascending order, as an unmodifiable {@code List}. Ties
   * are broken arbitrarily.
   *
   * <p>For example:
   *
   * {@snippet :

      private val out: Buffer,
    ) {
      /**
       * In the scenario where the dynamic table size changes multiple times between transmission of
       * header blocks, we need to keep track of the smallest value in that interval.
       */
      private var smallestHeaderTableSizeSetting = Integer.MAX_VALUE
      private var emitDynamicTableSizeUpdate: Boolean = false

   *
   * @param keyOffset 1 if this is the reverse direction of a BiMap, 0 otherwise.
   * @return an {@code Object} that is a {@code byte[]}, {@code short[]}, or {@code int[]}, the
   *     smallest possible to fit {@code tableSize}; or an {@code Object[]} where [0] is one of
   *     these; [1] indicates how many element pairs in {@code alternatingKeysAndValues} are valid;

   *     {@link #length}
   */
  public long get(int index) {
    Preconditions.checkElementIndex(index, length());
    return array[start + index];
  }

  /**
   * Returns the smallest index for which {@link #get} returns {@code target}, or {@code -1} if no
   * such index exists. Equivalent to {@code asList().indexOf(target)}.
   */
  public int indexOf(long target) {

    return (delegate != null)
        ? delegate.toArray(a)
        : ObjectArrays.toArrayImpl(requireElements(), 0, size, a);
  }

  /**
   * Ensures that this {@code CompactHashSet} has the smallest representation in memory, given its
   * current size.
   */
  public void trimToSize() {
    if (needsAllocArrays()) {
      return;
    }
    Set<E> delegate = delegateOrNull();

   * #MANY_VALUES_COUNT} values. If all the values are finite then the mean is {@link
   * #MANY_VALUES_MEAN} and the sum-of-squares-of-deltas is {@link
   * #MANY_VALUES_SUM_OF_SQUARES_OF_DELTAS}. The smallest and largest finite values are always
   * {@link #MANY_VALUES_MIN} and {@link #MANY_VALUES_MAX}, although setting non-finite values will
   * change the true min and max.
   */
  static class ManyValues {