* support concurrent multisets whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of distinct elements, the first element, its
   * count, the second element, its count, and so on.
   */
  static <E extends @Nullable Object> void writeMultiset(
      Multiset<E> multiset, ObjectOutputStream stream) throws IOException {

| *Type*        | *String*                                       |
| *Valid Range* | *Minimum length of 1. Maximum length of 2048.* |
| *Required*    | *No*                                           |

### Response Elements

XML response for this API is similar to [AWS STS AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#API_AssumeRole_ResponseElements)

### Errors

            final ObjectNode keywordsNode = ((ObjectNode) mapper.readTree(this.jsonKeywords));

            keywordsNode.fieldNames().forEachRemaining(eachLanguage -> {
                keywordsNode.get(eachLanguage).elements().forEachRemaining(e -> {
                    final String eachKeyword = e.textValue();
                    final Set<String> languages = languagesByKeyword.computeIfAbsent(eachKeyword, _keyword -> new HashSet<>());

			expectedErr: errors.New("expected element type <Status> but have <MyStatus>"),
			expectErr:   true,
		},
		// invalid XML attr
		{
			value:       `<?xml version="1.0" encoding="UTF-8"?><UnknownLegalHold xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><Status>ON</Status></UnknownLegalHold>`,
			expectedErr: errors.New("expected element type <LegalHold>/<ObjectLockLegalHold> but have <UnknownLegalHold>"),

      }

      checkEvictionQueues(map, segment, readOrder, writeOrder);
      checkExpirationTimes(map);
      assertThat(segment.recencyQueue.isEmpty()).isTrue();

      // access some of the elements
      Random random = new Random();
      List<ReferenceEntry<Object, Object>> reads = new ArrayList<>();
      Iterator<ReferenceEntry<Object, Object>> i = readOrder.iterator();
      while (i.hasNext()) {

      }

      checkEvictionQueues(map, segment, readOrder, writeOrder);
      checkExpirationTimes(map);
      assertThat(segment.recencyQueue.isEmpty()).isTrue();

      // access some of the elements
      Random random = new Random();
      List<ReferenceEntry<Object, Object>> reads = new ArrayList<>();
      Iterator<ReferenceEntry<Object, Object>> i = readOrder.iterator();
      while (i.hasNext()) {

	// Copy all immediate files and testdata directories between
	// the package being tested and the source root.
	pkgpath = ""
	for element := range strings.SplitSeq(finalPkgpath, string(filepath.Separator)) {
		if debug {
			log.Printf("copying %s", pkgpath)
		}
		pkgpath = filepath.Join(pkgpath, element)
		dst := filepath.Join(dstbase, pkgpath)
		src := filepath.Join(cwd, pkgpath)
		if err := copyLocalDir(dst, src); err != nil {

    private final Map<Object, TestDescriptorInternal> activeDescriptorsById = new HashMap<>();

    /**
     * gradle structures tests in a tree structure with the test task itself
     * being the root element. This is required to be tracked here to get the
     * structure right when rerunning a test task tests.
     * */
    private TestDescriptorInternal rootTestDescriptor;

Et plusieurs processus **ne partagent normalement pas de mémoire**. Cela signifie que chaque processus en cours a ses propres éléments, variables et mémoire. Et si vous consommez une grande quantité de mémoire dans votre code, **chaque processus** consommera une quantité équivalente de mémoire.

### Mémoire du serveur { #server-memory }

          + "aliquet pulvinar. Nam lorem nunc, ultrices at auctor non, scelerisque eget turpis. "
          + "Nullam eget varius erat. Sed a lorem id arcu dictum euismod. Fusce lectus odio, "
          + "elementum ullamcorper mattis viverra, dictum sit amet lacus.\n"
          + "\n"
          + "Nunc quis lacus est. Sed aliquam pretium cursus. Sed eu libero eros. In hac habitasse "