// One of Never, PreemptLowerPriority.
  // Defaults to PreemptLowerPriority if unset.
  // +optional
  optional string preemptionPolicy = 5;
}

// PriorityClassList is a collection of priority classes.
message PriorityClassList {
  // Standard list metadata
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional

Primeiro, você precisa importar `BaseModel` do `pydantic`:

```Python hl_lines="4"
{!../../../docs_src/body/tutorial001.py!}
```

## Crie seu modelo de dados

Então você declara seu modelo de dados como uma classe que herda `BaseModel`.

Utilize os tipos Python padrão para todos os atributos:

```Python hl_lines="7-11"
{!../../../docs_src/body/tutorial001.py!}
```

    ```

=== "Python 3.8+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body/tutorial001.py!}
    ```

## Erstellen Sie Ihr Datenmodell

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

Verwenden Sie Standard-Python-Typen für die Klassenattribute:

=== "Python 3.10+"

    ```Python hl_lines="5-9"
    {!> ../../../docs_src/body/tutorial001_py310.py!}
    ```

!!! info
    À moins que vous ne spécifiiez explicitement un type de média différent dans votre paramètre `responses`, FastAPI supposera que la réponse a le même type de média que la classe de réponse principale (par défaut `application/json`).

    Mais si vous avez spécifié une classe de réponse personnalisée avec `None` comme type de média, FastAPI utilisera `application/json` pour toute réponse supplémentaire associée à un modèle.

## Combinaison d'informations

import java.io.IOException
import okhttp3.internal.and
import okio.BufferedSink
import okio.BufferedSource
import okio.ByteString

/**
 * This class was originally composed from the following classes in
 * [Twitter Hpack][twitter_hpack].
 *
 *  * `com.twitter.hpack.HuffmanEncoder`
 *  * `com.twitter.hpack.HuffmanDecoder`
 *  * `com.twitter.hpack.HpackUtil`
 *
 * [twitter_hpack]: https://github.com/twitter/hpack

                                    archiveDirs(stageId, ['core-it-suite-logs':'core-it-suite/target/test-classes',
                                                          'core-it-suite-reports':'core-it-suite/target/surefire-reports'])
                                }
                            }
                        } finally {

mkdir test-splits
del /f /q test-splits\include-test-classes.properties
del /f /q test-splits\exclude-test-classes.properties
(
$linesWithEcho
) > test-splits\$action-test-classes.properties
echo "Tests to be ${action}d in this build"
type test-splits\$action-test-classes.properties
"""

    return {
        script {
            name = "PREPARE_TEST_CLASSES"
            executionMode = BuildStep.ExecutionMode.ALWAYS

### Über `**user_in.dict()`

#### Pydantic's `.dict()`

`user_in` ist ein Pydantic-Modell der Klasse `UserIn`.

Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python

     * thereby avoiding lazy construction of the FIR class. The visibility rules are tailored specifically for Java classes accessed from
     * Kotlin. They cover the most popular visibilities `private`, `public`, and default (package) visibility for top-level and nested
     * classes.
     *
     * Returns `null` if visibility cannot be decided by the heuristic.
     */

/android.tests.dependencies
/dependencies/android.tests.dependencies
/dist
/local
/gh-pages
/ideaSDK
/clionSDK
/android-studio/sdk
out/
/tmp
/intellij
workspace.xml
*.versionsBackup
/idea/testData/debugger/tinyApp/classes*
/jps-plugin/testData/kannotator
/js/js.translator/testData/out/
/js/js.translator/testData/out-min/
/js/js.translator/testData/out-pir/
.gradle/
build/
!**/src/**/build
!**/test/**/build
*.iml