// like this:
//
// 	type MyAwesomeAPIObject struct {
// 	     runtime.TypeMeta    `json:",inline"`
// 	     ... // other fields
// 	}
//
// func (obj *MyAwesomeAPIObject) SetGroupVersionKind(gvk *metav1.GroupVersionKind) { metav1.UpdateTypeMeta(obj,gvk) }; GroupVersionKind() *GroupVersionKind
//
// TypeMeta is provided here for convenience. You may use it directly from this package or define
// your own with the same fields.

 * Such expressions definitely do not need any kind of imports.
 *
 * Examples:
 * - `pkg.foo()` - `true`
 * - `foo()` - `false`
 * - `Obj.foo()` - `false`
 * - `pkg.Obj.foo()` - `false`
 */
private val FirQualifiedAccessExpression.isQualifiedWithPackage: Boolean
    get() {
        val receiver = explicitReceiver

    ```Python hl_lines="26-33"
    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
    ```

!!! info
    In Pydantic version 1 the method to parse and validate an object was `Item.parse_obj()`, in Pydantic version 2, the method is called `Item.model_validate()`.

!!! tip
    Here we re-use the same Pydantic model.

    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
    ```

!!! info
    In Pydantic Version 1 war die Methode zum Parsen und Validieren eines Objekts `Item.parse_obj()`, in Pydantic Version 2 heißt die Methode `Item.model_validate()`.

!!! tip "Tipp"
    Hier verwenden wir dasselbe Pydantic-Modell wieder.

, 👆 🔜 ⏲ ⚫️ ⏮️:

```Python hl_lines="3-4"
async def reset_db_state():
    database.db.obj._state._state.set(db_state_default.copy())
    database.db.obj._state.reset()
```

### ✍ 👆 **FastAPI** *➡ 🛠️*

🔜, 😒, 📥 🐩 **FastAPI** *➡ 🛠️* 📟.