* Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *

    for (int i = 0; i < numStripes; i++) {
      stripes[i] = i;
    }
    List<Integer> asList = Ints.asList(stripes);
    Collections.shuffle(asList, new Random(0xdeadbeef));

    // do bulk gets with exactly 10 keys (possibly <10 stripes) (or less if numStripes is smaller)
    bulkGetSet = ImmutableList.copyOf(limit(cycle(asList), 10));
  }

  @Footprint
  Object sizeOfStriped() {
    return impl.get(numStripes);
  }

func (s *Metadata) Set(k, v string) {
	for i, item := range s.Items {
		if item.Key == k {
			s.Items[i] = struct {
				Key   string
				Value string
			}{
				Key:   k,
				Value: v,
			}
			return
		}
	}
	s.Items = append(s.Items, struct {
		Key   string
		Value string
	}{
		Key:   k,
		Value: v,
	})
}

type xmlKeyEntry struct {
	XMLName xxml.Name

     * Constructs a new AbstractExtractor.
     */
    public AbstractExtractor() {
        // NOP
    }

    /**
     * Registers this extractor with the ExtractorFactory.
     * @param keyList The list of keys to register this extractor under.
     */
    public void register(final List<String> keyList) {
        if (keyList == null || keyList.isEmpty()) {

 * shared resources.
 *
 * @param <K> the most general type of keys this listener can listen for; for example {@code Object}
 *     if any key is acceptable
 * @param <V> the most general type of values this listener can listen for; for example {@code
 *     Object} if any key is acceptable
 * @author Charles Fry
 * @since 10.0
 */
@GwtCompatible
@FunctionalInterface

 * but can be extended by registering a {@code org.apache.maven.api.spi.LanguageProvider}.
 * <p>
 * Implementation must have {@code equals()} and {@code hashCode()} implemented, so implementations of this interface
 * can be used as keys.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
@SuppressWarnings("checkstyle:InterfaceIsType")
public interface Language extends ExtensibleEnum {

    /**

    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());
      assertWithMessage("Wrong keys from " + algorithm).that(quantiles.keySet()).isEqualTo(indexes);
      for (int i : indexes) {
        assertWithMessage("Mismatch between %s and %s at %s", algorithm, REFERENCE_ALGORITHM, i)
            .that(quantiles.get(i))

        ? new ImmutableSet.Builder<V>()
        : new ImmutableSortedSet.Builder<V>(valueComparator);
  }

  /**
   * @serialData number of distinct keys, and then for each distinct key: the key, the number of
   *     values for that key, and the key's values
   */
  @GwtIncompatible
  @J2ktIncompatible
    private void writeObject(ObjectOutputStream stream) throws IOException {
    stream.defaultWriteObject();

 *
 * See https://stackoverflow.com/questions/61929216/how-to-log-tlsv1-3-keys-in-jsse-for-wireshark-to-decode-traffic
 *
 * Steps to run in your own code
 *
 * 1. In your main method `WireSharkListenerFactory.register()`
 * 2. Create Listener factory `val eventListenerFactory = WireSharkListenerFactory(
logFile = File("/tmp/key.log"), tlsVersions = tlsVersions, launch = launch)`

}
```

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

So, continuing with the `user_dict` from above, writing:

```Python
UserInDB(**user_dict)
```

would result in something equivalent to:

```Python
UserInDB(