<artifactId>parent</artifactId>
    <version>11-SNAPSHOT</version>
  </parent>

  <groupId>inheritance</groupId>
  <artifactId>inheritance</artifactId>
  <version>11-SNAPSHOT</version>
  <name>Model urls inheritance test child</name>
  <description>MNG-5951 MNG-6059 child.x.y.inherit.append.path="false" for each url to avoid automatic path addition when inheriting</description>

  child.project.url.inherit.append.path="false">
  <modelVersion>4.0.0</modelVersion>

  <groupId>inheritance</groupId>
  <artifactId>parent</artifactId>
  <version>11-SNAPSHOT</version>

  <name>Model urls inheritance test parent</name>
  <description>MNG-5951 MNG-6059 child.x.y.inherit.append.path="false" for each url to avoid automatic path addition when inheriting</description>

  <modules>

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.docs.dsl.docbook;

import gradlebuild.docs.dsl.docbook.model.BlockDoc;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

public class BlockTableRenderer {
    public void renderTo(Iterable<BlockDoc> blocks, Element parent) {

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.docs.dsl.docbook;

import gradlebuild.docs.dsl.docbook.model.PropertyDoc;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

public class PropertyTableRenderer {
    public void renderTo(Iterable<PropertyDoc> properties, Element parent) {

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test

Hier sind mehrere Möglichkeiten, das zu tun.

## Zusätzliche JSON-Schemadaten in Pydantic-Modellen

Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.

//// tab | Python 3.10+ Pydantic v2

```Python hl_lines="13-24"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}
```

////

class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get("/items/{item_id}", response_model=Item, responses={404: {"model": Message}})
async def read_item(item_id: str):
    if item_id == "foo":
        return {"id": "foo", "value": "there goes my hero"}

	"gorm.io/gorm/utils/tests"
)

func TestFieldValuerAndSetter(t *testing.T) {
	var (
		userSchema, _ = schema.Parse(&tests.User{}, &sync.Map{}, schema.NamingStrategy{})
		user          = tests.User{
			Model: gorm.Model{
				ID:        10,
				CreatedAt: time.Now(),
				UpdatedAt: time.Now(),
				DeletedAt: gorm.DeletedAt{Time: time.Now(), Valid: true},
			},
			Name:     "valuer_and_setter",
			Age:      18,

</p>

<h2 id="model">Memory Model</h2>

<p>
The following formal definition of Go's memory model closely follows
the approach presented by Hans-J. Boehm and Sarita V. Adve in
“<a href="https://www.hpl.hp.com/techreports/2008/HPL-2008-56.pdf">Foundations of the C++ Concurrency Memory Model</a>”,
published in PLDI 2008.

 * implementations may store cookies in memory; sophisticated ones may use the file system or
 * database to hold accepted cookies. The [cookie storage model][rfc_6265_53] specifies policies for
 * updating and expiring cookies.
 *
 * [rfc_6265_53]: https://tools.ietf.org/html/rfc6265#section-5.3
 */
interface CookieJar {
  /**