<K extends T, V> Map<K, V> createMap(int expectedSize) {
    switch (type) {
      case UNORDERED:
        return Maps.newHashMapWithExpectedSize(expectedSize);
      case INSERTION:
      case STABLE:
        return Maps.newLinkedHashMapWithExpectedSize(expectedSize);
      case SORTED:
        return Maps.newTreeMap(comparator());
    }
    throw new AssertionError();
  }

  @SuppressWarnings("unchecked")

 *
 * @author Bob Lee
 * @since 2.0
 * @deprecated This exception is no longer thrown by {@code com.google.common}. Previously, it was
 *     thrown by {@link MapMaker} computing maps. When support for computing maps was removed from
 *     {@code MapMaker}, it was added to {@code CacheBuilder}, which throws {@code
 *     ExecutionException}, {@code UncheckedExecutionException}, and {@code ExecutionError}. Any

   * {@code put()} or {@code putAll()}, or {@code setValue()} on its entries.
   *
   * <p>In contrast, the maps returned by {@code rowMap().get()} have the same behavior as those
   * returned by {@link #row}. Those maps may support {@code setValue()}, {@code put()}, and {@code
   * putAll()}.
   *
   * @return a map view from each row key to a secondary map from column keys to values

	API := "SYSTEM"
	switch {
	case req.API != "":
		API = req.API
	case subsystem != "":
		API += "." + subsystem
	}

	// Copy tags. We hold read lock already.
	tags := make(map[string]interface{}, len(req.tags))
	for _, entry := range req.tags {
		tags[entry.Key] = entry.Val
	}

	// Get the cause for the Error
	deploymentID := req.DeploymentID
	if req.DeploymentID == "" {

void TapeVSpace::DeleteGradient(AbstractTensorHandle* gradient) const {
  gradient->Unref();
}

void Tape::Watch(const AbstractTensorHandle* t) {
  GradientTape::Watch(ToId(t));
}
void Tape::RecordOperation(absl::Span<AbstractTensorHandle* const> inputs,
                           absl::Span<AbstractTensorHandle* const> outputs,

{!> ../../docs_src/body_nested_models/tutorial002.py!}
```

////

## Set types

But then we think about it, and realize that tags shouldn't repeat, they would probably be unique strings.

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial003_py310.py!}

        private final HttpServletRequest request;

        private final String[] tags;

        protected RequestParameter(final HttpServletRequest request, final String query, final String[] tags, final String[] fields,
                final int num) {
            this.query = query;
            this.tags = tags;
            this.fields = fields;
            this.num = num;
            this.request = request;

#      createdAfter: "date" # match objects created after "date"
#      createdBefore: "date" # match objects created before "date"

      ## NOTE: tags are not supported when "source" is remote.
      tags:
         - key: "name"
           value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

      metadata:
         - key: "content-type"

			return true
		}

		if hasTags {
			// Only parse object tags if tags filter is specified.
			tagMap := map[string]string{}
			tagStr := oi.UserTags
			if len(tagStr) != 0 {
				t, err := tags.ParseObjectTags(tagStr)
				if err != nil {
					return false
				}
				tagMap = t.ToMap()
			}
			for _, kv := range r.Flags.Filter.Tags {
				for t, v := range tagMap {

        new Supplier<TreeMap<Integer, Character>>() {
          @Override
          public TreeMap<Integer, Character> get() {
            return Maps.newTreeMap();
          }
        };
    Map<String, Map<Integer, Character>> backingMap = Maps.newLinkedHashMap();
    Table<String, Integer, Character> table = newCustomTable(backingMap, factory);
    populate(table, data);
    return table;
  }