},
	}

	DB.Create(&users)

	query := make([]string, 0)
	sess := DB.Session(&gorm.Session{Logger: Tracer{
		Logger: DB.Config.Logger,
		Test: func(ctx context.Context, begin time.Time, fc func() (sql string, rowsAffected int64), err error) {
			sql, _ := fc()
			query = append(query, sql)
		},
	}})

	var result []User
	err := sess.
		Joins("Manager").
		Preload("Manager.Tools").

  @GwtCompatible(serializable = true)
  public <S extends T> Ordering<S> reverse() {
    return new ReverseOrdering<>(this);
  }

  /**
   * Returns an ordering that treats {@code null} as less than all other values and uses {@code
   * this} to compare non-null values.
   *
   * <p>The returned object is serializable if this object is serializable.
   *

ENV_BLOCKLIST="${ENV_BLOCKLIST:-^_\|^PATH=\|^GOPATH=\|^GOROOT=\|^SHELL=\|^EDITOR=\|^TMUX=\|^USER=\|^HOME=\|^PWD=\|^TERM=\|^RUBY_\|^GEM_\|^rvm_\|^SSH=\|^TMPDIR=\|^CC=\|^CXX=\|^MAKEFILE_LIST=}"

# Remove functions from the list of exported variables, they mess up with the `env` command.
for f in $(declare -F -x | cut -d ' ' -f 3);
do
  unset -f "${f}"
done

# Set conditional host mounts
CONDITIONAL_HOST_MOUNTS="${CONDITIONAL_HOST_MOUNTS:-} "

   * any of the public methods of ListenableFuture.
   */
  interface Trusted<V extends @Nullable Object> extends ListenableFuture<V> {}

  /**
   * A less abstract subclass of AbstractFuture. This can be used to optimize setFuture by ensuring
   * that {@link #get} calls exactly the implementation of {@link AbstractFuture#get}.
   */

  @GwtIncompatible // NavigableMap
  private static class FilteredEntryNavigableMap<
          K extends @Nullable Object, V extends @Nullable Object>
      extends AbstractNavigableMap<K, V> {
    /*
     * It's less code to extend AbstractNavigableMap and forward the filtering logic to
     * FilteredEntryMap than to extend FilteredEntrySortedMap and reimplement all the NavigableMap
     * methods.
     */

Pydantic version 2 has the **core** re-written in **Rust** and includes a lot of improvements and features, for example:

* Improved **correctness** in corner cases.
* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀