ImmutableMap<R, ImmutableMap<C, V>> rowMap = this.rowMap;
    return ImmutableMap.<R, Map<C, V>>copyOf(rowMap);
  }

  @Override
  @CheckForNull
  public V get(@CheckForNull Object rowKey, @CheckForNull Object columnKey) {
    Integer rowIndex = rowKeyToIndex.get(rowKey);
    Integer columnIndex = columnKeyToIndex.get(columnKey);

		for i, disk := range disks {
			if disk == OfflineDisk {
				continue
			}
			disk.Delete(context.Background(), "testbucket", "object", DeleteOptions{
				Recursive: false,
				Immediate: false,
			})
			writers[i] = newBitrotWriter(disk, "", "testbucket", "object", erasure.ShardFileSize(size), DefaultBitrotAlgorithm, erasure.ShardSize())
		}

   *
   * @throws UnsupportedOperationException always
   * @deprecated <b>Pass keys of type {@code Comparable} to use {@link
   *     ImmutableSortedMap#of(Comparable, Object, Comparable, Object, Comparable, Object,
   *     Comparable, Object, Comparable, Object)}.</b>
   */
  @DoNotCall("Pass keys of type Comparable")
  @Deprecated
  public static <K, V> ImmutableSortedMap<K, V> of(

    EntrySet(ImmutableSetMultimap<K, V> multimap) {
      this.multimap = multimap;
    }

    @Override
    public boolean contains(@CheckForNull Object object) {
      if (object instanceof Entry) {
        Entry<?, ?> entry = (Entry<?, ?>) object;
        return multimap.containsEntry(entry.getKey(), entry.getValue());
      }
      return false;
    }

    @Override
    public int size() {

    if (keyCount < 0) {
      throw new InvalidObjectException("Invalid key count " + keyCount);
    }
    ImmutableMap.Builder<Object, ImmutableList<Object>> builder = ImmutableMap.builder();
    int tmpSize = 0;

    for (int i = 0; i < keyCount; i++) {
      Object key = requireNonNull(stream.readObject());
      int valueCount = stream.readInt();
      if (valueCount <= 0) {

Inclus des librairies externes basées, aussi, sur Pydantic, servent d'<abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s pour les bases de données.

    }

    @Override
    @CheckForNull
    protected Object handleInvocation(Object proxy, Method method, @Nullable Object[] args) {
      return interfaceMethodCalled(interfaceType, method);
    }

    @Override
    public int hashCode() {
      return identity;
    }

    @Override
    public boolean equals(@Nullable Object obj) {
      if (obj instanceof FreshInvocationHandler) {

  // Comparison and hashing

  /**
   * Compares the specified object with this multiset for equality. Returns {@code true} if the
   * given object is also a multiset and contains equal elements with equal counts, regardless of
   * order.
   */
  @Override
  // TODO(kevinb): caveats about equivalence-relation?
  boolean equals(@CheckForNull Object object);

  /**

		Object:    object,
		VersionID: versionID,
		DiskCount: len(storageDisks),
	}

	if !opts.NoLock {
		lk := er.NewNSLock(bucket, object)
		lkctx, err := lk.GetLock(ctx, globalOperationTimeout)
		if err != nil {
			return result, err
		}
		ctx = lkctx.Context()
		defer lk.Unlock(lkctx)
	}

	// Re-read when we have lock...

title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random...