}

    @Override
    public boolean isEmpty() {
      return !Iterables.any(unfiltered, predicate);
    }

    @Override
    public Iterator<E> iterator() {
      return Iterators.filter(unfiltered.iterator(), predicate);
    }

    @Override
    public Spliterator<E> spliterator() {
      return CollectSpliterators.filter(unfiltered.spliterator(), predicate);
    }

// If the most recent read or write operation on the buffer was
// not a successful [Buffer.ReadRune], UnreadRune returns an error.  (In this regard
// it is stricter than [Buffer.UnreadByte], which will unread the last byte
// from any read operation.)
func (b *Buffer) UnreadRune() error {
	if b.lastRead <= opInvalid {
		return errors.New("bytes.Buffer: UnreadRune: previous operation was not a successful ReadRune")
	}

    return delegate.higher(checkValid(e));
  }

  @Override
  public boolean isEmpty() {
    return delegate.isEmpty();
  }

  @Override
  public Iterator<E> iterator() {
    return delegate.iterator();
  }

  @Override
  public E last() {
    return delegate.last();
  }

  @Override
  public @Nullable E lower(E e) {
    return delegate.lower(checkValid(e));
  }

max_sleep      (duration)  maximum sleep duration between objects to slow down heal operation. eg. 2s
max_io         (int)       maximum IO requests allowed between objects to slow down heal operation. eg. 3
drive_workers  (int)       the number of workers per drive to heal a new disk replacement.
```

not first set to `PENDING` state.

This is a slower operation that does not use replication queues and is designed to walk the namespace and replicate objects one at a time so as not to impede server load. Ideally, resync should not be initiated for multiple buckets simultaneously - progress of the syncing can be monitored by looking at `mc replicate resync status alias/bucket --remote-bucket <arn>`. In the event that resync operation failed to replicate some versions, they would be picked up...

    assertThrows(
        ConcurrentModificationException.class,
        () -> {
          Iterator<Entry<K, V>> iterator = getMap().entrySet().iterator();
          putAll(MinimalCollection.of(e3(), e0()));
          iterator.next();
        });
  }

  @MapFeature.Require(absent = SUPPORTS_PUT)
  @CollectionSize.Require(absent = ZERO)

            List<String> methods = getHeaderFields0().get(authHeader);
            if ( methods == null )
                return null;
            Iterator<String> iterator = methods.iterator();
            while ( iterator.hasNext() ) {
                String currentAuthMethod = iterator.next();
                if ( currentAuthMethod.startsWith("NTLM") ) {
                    if ( currentAuthMethod.length() == 4 ) {

    assertEqualInOrder(expected, multimap().values());
  }

  @CollectionFeature.Require(SUPPORTS_ITERATOR_REMOVE)
  @CollectionSize.Require(ONE)
  public void testValuesIteratorRemove() {
    Iterator<V> valuesItr = multimap().values().iterator();
    valuesItr.next();
    valuesItr.remove();
    assertTrue(multimap().isEmpty());
  }

# Body - Fields

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field`

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

    assertThrows(
        ConcurrentModificationException.class,
        () -> {
          Iterator<Entry<K, V>> iterator = getMap().entrySet().iterator();
          putAll(MinimalCollection.of(e3(), e0()));
          iterator.next();
        });
  }

  @MapFeature.Require(absent = SUPPORTS_PUT)
  @CollectionSize.Require(absent = ZERO)