from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein str
# und bekommen Sie Editor-Unterstützung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que luego puede ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

 * under the License.
 */
package org.apache.maven.lifecycle;

import java.util.List;
import java.util.Set;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Plugin;
import org.apache.maven.plugin.InvalidPluginDescriptorException;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.MojoNotFoundException;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package gradlebuild.docs.dsl.source.model;

import org.gradle.api.Action;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.Objects;

/**

Importa `BaseSettings` de Pydantic y crea una sub-clase, muy similar a un modelo de Pydantic.

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.

Puedes usar todas las mismas funcionalidades de validación y herramientas que usas para los modelos de Pydantic, como diferentes tipos de datos y validaciones adicionales con `Field()`.

		// these dialects do not support the "returning" clause
		return
	default:
		// This user struct will leverage the existing users table, but override
		// the Name field to default to null.
		type user struct {
			gorm.Model
			Name string `gorm:"default:null"`
		}
		u1 := user{}

		if results := DB.Create(&u1); results.Error != nil {
			t.Fatalf("errors happened on create: %v", results.Error)
		} else if results.RowsAffected != 1 {

    DependencyResolutionResult getDependencyResolutionResult();

    // for each exception
    // - knowing what artifacts are missing
    // - project building exception
    // - invalid project model exception: list of markers
    // - xmlpull parser exception
    List<Throwable> getExceptions();

    MavenExecutionResult addException(Throwable e);

    boolean hasExceptions();

    /**

 * under the License.
 */
package org.apache.maven.project;

import java.io.File;
import java.util.Collections;
import java.util.List;

import org.apache.maven.model.building.ModelProblem;

/**
 * Collects the output of the project builder.
 *
 * @deprecated use {@code org.apache.maven.api.services.ProjectBuilder} instead
 */
@Deprecated(since = "4.0.0")

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.plugin;

import org.apache.maven.model.Plugin;
import org.apache.maven.plugin.descriptor.MojoDescriptor;
import org.codehaus.plexus.classworlds.realm.ClassRealm;
import org.codehaus.plexus.component.repository.exception.ComponentLookupException;

And then you can set cookies in that *temporal* response object.

{* ../../docs_src/response_cookies/tutorial002_py39.py hl[1, 8:9] *}

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.