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.model_dump()
```

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)
```

        }
    }

    @Nested
    @DisplayName("Combine Tests")
    class CombineTests {

        @Test
        @DisplayName("Should combine two referral data objects")
        void testCombine() {
            // Setup first referral
            DfsReferralDataImpl first = new DfsReferralDataImpl();
            when(mockReferral.getTtl()).thenReturn(300);

     * @param root not null object
     * @param trimRootToken trim root token yes/no.
     * @return the object defined by the expression
     * @throws IntrospectionException if any
     */
    public static Object evaluate(@Nonnull String expression, @Nullable Object root, boolean trimRootToken)
            throws IntrospectionException {
        Object value = root;

					var kvs jstream.KVS
					if mv.ValueType == jstream.Object {
						// This is a JSON object type (that preserves key
						// order)
						kvs, _ = mv.Value.(jstream.KVS)
					} else {
						// To be AWS S3 compatible Select for JSON needs to
						// output non-object JSON as single column value
						// i.e. a map with `_1` as key and value as the
						// non-object.
						kvs = jstream.KVS{jstream.KV{Key: "_1", Value: mv.Value}}

#### Registering test clusters

When using the elasticsearch test cluster plugin we want to use (similar to the task avoidance API) a Gradle API to create domain objects lazy or only if required by the build.
Therefore we register test cluster by using the following syntax:

    def someClusterProvider = testClusters.register('someCluster') { ... }

    QUEUING,
    /** runnable has been submitted but has not yet begun execution */
    QUEUED,
    RUNNING,
  }

  /** Underlying executor that all submitted Runnable objects are run on. */
  private final Executor executor;

  @GuardedBy("queue")
  private final Deque<Runnable> queue = new ArrayDeque<>();

  /** see {@link WorkerRunningState} */
  @LazyInit
  @GuardedBy("queue")

              @Override
              public SortedMultiset<E> create(Object... entries) {
                @SuppressWarnings("unchecked")
                // we dangerously assume E is a string
                List<E> extremeValues = (List<E>) getExtremeValues();
                @SuppressWarnings("unchecked")
                // map generators must past entry objects
                List<E> normalValues = (List<E>) asList(entries);

	debugGoCollectorPath collectorPath = "/debug/go"

	clusterHealthCollectorPath       collectorPath = "/cluster/health"
	clusterUsageObjectsCollectorPath collectorPath = "/cluster/usage/objects"
	clusterUsageBucketsCollectorPath collectorPath = "/cluster/usage/buckets"
	clusterErasureSetCollectorPath   collectorPath = "/cluster/erasure-set"
	clusterIAMCollectorPath          collectorPath = "/cluster/iam"

    private final Object keys;
    private final Object values;

    SerializedForm(ImmutableMap<K, V> map) {
      if (USE_LEGACY_SERIALIZATION) {
        Object[] keys = new Object[map.size()];
        Object[] values = new Object[map.size()];
        int i = 0;
        // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013

}

func (gcs *warmBackendGCS) getDest(object string) string {
	destObj := object
	if gcs.Prefix != "" {
		destObj = fmt.Sprintf("%s/%s", gcs.Prefix, object)
	}
	return destObj
}

func (gcs *warmBackendGCS) PutWithMeta(ctx context.Context, key string, data io.Reader, length int64, meta map[string]string) (remoteVersionID, error) {
	object := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key))
	w := object.NewWriter(ctx)