}

  private fun response(
    url: String,
    bodyHex: ByteString,
    fn: Response.Builder.() -> Unit = {},
  ): Response {
    return Response.Builder()
      .body(bodyHex.toResponseBody("text/plain".toMediaType()))
      .code(200)
      .message("OK")
      .request(Request.Builder().url(url).build())
      .protocol(Protocol.HTTP_2)
      .apply(fn)
      .build()
  }

    public static final String MAVEN_RESOLVER_TRANSPORT = "maven.resolver.transport";

    /**
     * Plugin validation level.
     *
     * @since 3.9.2
     */
    @Config(defaultValue = "inline")
    public static final String MAVEN_PLUGIN_VALIDATION = "maven.plugin.validation";

    /**
     * Plugin validation exclusions.
     *
     * @since 3.9.6
     */
    @Config

pillow==11.0.0
# For image processing by Material for MkDocs
cairosvg==2.7.1
mkdocstrings[python]==0.26.1
griffe-typingdoc==0.2.7
# For griffe, it formats with black
black==24.3.0
mkdocs-macros-plugin==1.0.5

In these cases, it could make sense to store the tags in an `Enum`.

**FastAPI** supports that the same way as with plain strings:

```Python hl_lines="1  8-10  13  18"
{!../../docs_src/path_operation_configuration/tutorial002b.py!}
```

## Summary and description

You can add a `summary` and `description`:

import org.apache.maven.artifact.repository.metadata.Snapshot;
import org.apache.maven.artifact.repository.metadata.SnapshotArtifactRepositoryMetadata;
import org.apache.maven.artifact.repository.metadata.Versioning;
import org.apache.maven.plugin.LegacySupport;
import org.apache.maven.project.artifact.ProjectArtifactMetadata;
import org.codehaus.plexus.logging.AbstractLogEnabled;
import org.eclipse.aether.RepositorySystem;

// C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus
// to the macros in tensorflow/core/framework/op_requires.h. This is provided
// for plugin OpKernel developer's convenience.

#define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \
  do {                                                            \

INFO: Sending request http://www.publicobject.com/helloworld.txt on null
User-Agent: OkHttp Example

INFO: Received response for https://publicobject.com/helloworld.txt in 1179.7ms
Server: nginx/1.4.6 (Ubuntu)
Content-Type: text/plain
Content-Length: 1759
Connection: keep-alive
```

We can see that we were redirected because `response.request().url()` is different from `request.url()`. The two log statements log two different URLs.

    assert response.json() == [
        {
            "name": "Breaters",
            "items": [
                {
                    "name": "Island In The Moon",
                    "description": "A place to be playin' and havin' fun",
                },
                {"name": "Holy Buddies", "description": None},
            ],
        },
        {
            "name": "System of an Up",
            "items": [

/// tip | "Astuce"

Si vous utilisez <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> comme éditeur, vous pouvez utiliser le Plugin <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>.

Ce qui améliore le support pour les modèles Pydantic avec :

* de l'auto-complétion
* des vérifications de type

- The kube-scheduler added support for scheduling hints for the CSIStorageCapacity resource within the VolumeBinding plugin.