import static com.google.common.base.Throwables.throwIfUnchecked;
import static com.google.common.truth.Truth.assertThat;

import com.google.common.base.MoreObjects;
import com.google.common.base.Objects;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Lists;
import java.io.Closeable;
import java.io.IOException;
import java.util.List;

```Python hl_lines="1  8-9"
{!../../docs_src/response_cookies/tutorial002.py!}
```

Anschließend können Sie wie gewohnt jedes gewünschte Objekt zurückgeben (ein `dict`, ein Datenbankmodell, usw.).

Und wenn Sie ein `response_model` deklariert haben, wird es weiterhin zum Filtern und Konvertieren des von Ihnen zurückgegebenen Objekts verwendet.

  // 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);

  /**

  private static final RangeMap<Comparable<?>, Object> EMPTY_SUB_RANGE_MAP =
      new RangeMap<Comparable<?>, Object>() {
        @Override
        @CheckForNull
        public Object get(Comparable<?> key) {
          return null;
        }

        @Override
        @CheckForNull
        public Entry<Range<Comparable<?>>, Object> getEntry(Comparable<?> key) {
          return null;
        }

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

	mlock sync.RWMutex // mutex for bucket measurement

	bucketsThrottle    map[BucketOptions]*bucketThrottle
	bucketsMeasurement map[BucketOptions]*bucketMeasurement // Buckets with objects in flight

	bucketMovingAvgTicker *time.Ticker    // Ticker for calculating moving averages
	ctx                   context.Context // Context for generate
	NodeCount             uint64
}

		}
		r.readerWg.Done()
	}

	// We cannot reuse as we are sending parsed objects elsewhere.
	simdjson.ParseNDStream(readCloser, r.input, nil)
	r.readerWg.Add(1)
	go r.startReader()
	return &r
}

// NewElementReader - creates new JSON reader using readCloser.
func NewElementReader(ch chan simdjson.Object, err *error, args *json.ReaderArgs) *Reader {
	return &Reader{
		args:       args,

@Immutable(containerOf = {"R", "C", "V"})
@ElementTypesAreNonnullByDefault
final class SparseImmutableTable<R, C, V> extends RegularImmutableTable<R, C, V> {
  static final ImmutableTable<Object, Object, Object> EMPTY =
      new SparseImmutableTable<>(
          ImmutableList.<Cell<Object, Object, Object>>of(), ImmutableSet.of(), ImmutableSet.of());

  private final ImmutableMap<R, ImmutableMap<C, V>> rowMap;
  private final ImmutableMap<C, ImmutableMap<R, V>> columnMap;

   *
   * @since 14.0
   */
  @SuppressWarnings("unchecked") // ImmediateCancelledFuture can work with any type
  public static <V extends @Nullable Object> ListenableFuture<V> immediateCancelledFuture() {
    ListenableFuture<Object> instance = ImmediateCancelledFuture.INSTANCE;
    if (instance != null) {
      return (ListenableFuture<V>) instance;
    }
    return new ImmediateCancelledFuture<>();
  }

import static com.google.common.collect.CollectPreconditions.checkNonnegative;
import static com.google.common.collect.CollectPreconditions.checkRemove;
import static com.google.common.collect.Maps.safeGet;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.primitives.Ints;