pkg image, type Gray struct, Rect Rectangle
pkg image, type Gray struct, Stride int
pkg image, type Gray16 struct
pkg image, type Gray16 struct, Pix []uint8
pkg image, type Gray16 struct, Rect Rectangle
pkg image, type Gray16 struct, Stride int
pkg image, type Image interface { At, Bounds, ColorModel }
pkg image, type Image interface, At(int, int) color.Color
pkg image, type Image interface, Bounds() Rectangle

* Update amd64 kube-proxy base image to debian-iptables-amd64:v5 ([#39725](https://github.com/kubernetes/kubernetes/pull/39725), [@ixdy](https://github.com/ixdy))
* Update kube-proxy image to be based off of Debian 8.6 base image. ([#39695](https://github.com/kubernetes/kubernetes/pull/39695), [@ixdy](https://github.com/ixdy))

 * public class CustomTypeProvider implements TypeProvider {
 *     public Collection<Type> provides() {
 *         return Arrays.asList(
 *             type("kotlin-library", "jar", "kotlin"),
 *             type("docker-image", "tar.gz", null)
 *         );
 *     }
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Type
 * @see org.apache.maven.api.spi.ExtensibleEnumProvider
 * @since 4.0.0
 */
@Experimental
@Consumer

    - name: Update the RBE Configs
      run: |
        function map() {
          # The "digest" that allows us to pull an image is not the digest as
          # returned by the API, but a sha256sum of the entire chunk of image
          # metadata. gcr.io helpfully includes it in the header of the response
          # as docker-content-digest: sha256:[digest]. Note we use egrep to

            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true

For example, you can add an additional media type of `image/png`, declaring that your *path operation* can return a JSON object (with media type `application/json`) or a PNG image:

{* ../../docs_src/additional_responses/tutorial002.py hl[19:24,28] *}

/// note

Notice that you have to return the image using a `FileResponse` directly.

///

/// info

  }

  public void testWithoutParameters() {
    assertSame(MediaType.parse("image/gif"), MediaType.parse("image/gif").withoutParameters());
    assertEquals(
        MediaType.parse("image/gif"), MediaType.parse("image/gif; foo=bar").withoutParameters());
  }

  public void testWithParameters() {
    assertEquals(

{* ../../docs_src/body_nested_models/tutorial007.py hl[9,14,20,23,27] *}

/// info | 情報

`Offer`は`Item`のリストであり、オプションの`Image`のリストを持っていることに注目してください。

///

## 純粋なリストのボディ

期待するJSONボディのトップレベルの値がJSON`array`（Pythonの`list`）であれば、Pydanticモデルと同じように、関数のパラメータで型を宣言することができます:

```Python
images: List[Image]
```

以下のように:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## あらゆる場所でのエディタサポート

  }

  val javaVersionSetting =
    if (testJavaVersion > 8 && (project.name == "okcurl" || project.name == "native-image-tests")) {
      // Depends on native-image-tools which is 17+, but avoids on Java 8 tests
      "17"
    } else {
      "1.8"
    }

  val projectJvmTarget = JvmTarget.fromTarget(javaVersionSetting)

            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true