kotlin-stdlib = { module = "org.jetbrains.kotlin:kotlin-stdlib", version.ref = "org-jetbrains-kotlin" }
kotlin-stdlib-osgi = { module = "org.jetbrains.kotlin:kotlin-osgi-bundle", version.ref = "org-jetbrains-kotlin" }
kotlin-test-annotations = { module = "org.jetbrains.kotlin:kotlin-test-annotations-common", version.ref = "org-jetbrains-kotlin" }
kotlin-test-common = { module = "org.jetbrains.kotlin:kotlin-test-common", version.ref = "org-jetbrains-kotlin" }

Sebastián Ramírez <******@****.***> 1731896744 +0100

- Increase maximum IOPS of AWS EBS io1 volume to current maximum (64,000). ([#90014](https://github.com/kubernetes/kubernetes/pull/90014), [@jacobmarble](https://github.com/jacobmarble))
- Ipvs: ensure selected scheduler kernel modules are loaded ([#93040](https://github.com/kubernetes/kubernetes/pull/93040), [@cmluciano](https://github.com/cmluciano)) [SIG Network]

Justin Van Dort <******@****.***> 1739558135 -0500

from ...utils import needs_py310


@pytest.fixture(
    name="module",
    params=[
        pytest.param("tutorial008b_py39"),
        pytest.param("tutorial008b_py310", marks=needs_py310),
    ],
)
def get_module(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.python_types.{request.param}")
    return mod


def test_process_items(module: ModuleType):
    with patch("builtins.print") as mock_print:

        // ArtifactId may differ only for multi-module projects, in which case
        // it must match the module name from a source root in modular sources.
        boolean isMultiModule = false;
        boolean validArtifactId = Objects.equals(a1, a2);
        for (SourceRoot sr : getSourceRoots(project)) {
            Optional<String> moduleName = sr.module();
            if (moduleName.isPresent()) {

        <!--</module>-->

        <!-- Coding -->
        <module name="CovariantEquals"/>
        <module name="DefaultComesLast"/>
        <module name="EmptyStatement"/>
        <module name="EqualsHashCode"/>
        <module name="ExplicitInitialization"/>
        <module name="MultipleVariableDeclarations"/>
        <module name="NoClone"/>
        <module name="NoFinalizer"/>

Pydantic-Modelle haben eine `.model_dump()`-Methode, die ein <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> mit den Daten des Modells zurückgibt.

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

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und dann aufrufen:

```Python

Sebastián Ramírez <******@****.***> 1731896744 +0100

timothy <******@****.***> 1748612313 +0900