labels.facet_filetype_mp4a=MP4A Audio
labels.facet_filetype_oga=OGA Audio
labels.facet_filetype_wepb=WEBP Image
labels.facet_filetype_bmp=BMP Image
labels.facet_filetype_ico=ICO Image
labels.facet_filetype_png=PNG Image
labels.facet_filetype_svg=SVG Image
labels.facet_filetype_tiff=TIFF Image
labels.facet_filetype_jpg=JPEG Image
labels.facet_filetype_archive=Archive
labels.facet_filetype_bat=Batch File
labels.facet_filetype_c=C

a.inArray("jpg",c)>-1&&a.inArray("jpeg",c)===-1?c.push("jpeg"):a.inArray("jpeg",c)>-1&&a.inArray("jpg",c)===-1&&c.push("jpg"),c},e=function(a,b,c,d){var e=d[b]||"";a.errorMessageKey="",a.errorMessage=e.replace("%s",c)},f=function(c,d,e){var f=new FileReader,g=new Image;f.readAsDataURL(c),f.onload=function(c){g.onload=function(){a(b).trigger("imageValidation",[this]),d(this)},g.onerror=function(){e()},g.src=c.target.result}};a.formUtils.addValidator({name:"mime",validatorFunction:function(b,f,g,h){if(c){var i=!0,...

            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

		// If server is in shutdown.
		if atomic.LoadUint32(&srv.inShutdown) != 0 {
			// To indicate disable keep-alive, server is shutting down.
			w.Header().Set("Connection", "close")

			// Add 1 minute retry header, incase-client wants to honor it
			w.Header().Set(RetryAfter, "60")

			w.WriteHeader(http.StatusServiceUnavailable)
			w.Write([]byte(http.ErrServerClosed.Error()))
			return
		}

  1. Populate new `RuntimeHandler` field in CRI's `ImageSpec` struct during image pulls from container runtimes.
  2. Pass `runtimeHandler` field in `RemoveImage()` call to container runtime in `kubelet`'s image garbage collection. ([#121456](https://github.com/kubernetes/kubernetes/pull/121456), [@kiashok](https://github.com/kiashok))

 * or response body.
 *
 * [rfc_2045]: http://tools.ietf.org/html/rfc2045
 */
class MediaType internal constructor(
  internal val mediaType: String,
  /**
   * Returns the high-level media type, such as "text", "image", "audio", "video", or "application".
   */
  @get:JvmName("type") val type: String,
  /**
   * Returns a specific media subtype, such as "plain" or "png", "mpeg", "mp4" or "xml".
   */

fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS --config=cuda_wheel //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;
tfrun mkdir ./dist
tfrun cp $TFCI_OUTPUT_DIR/*.whl ./dist
tfrun ./ci/official/utilities/rename_and_verify_wheels.sh

if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then

  }

  private static final CharMatcher DASH_MATCHER = CharMatcher.anyOf("-_");

  private static final CharMatcher DIGIT_MATCHER = CharMatcher.inRange('0', '9');

  private static final CharMatcher LETTER_MATCHER =
      CharMatcher.inRange('a', 'z').or(CharMatcher.inRange('A', 'Z'));

  private static final CharMatcher PART_CHAR_MATCHER =
      DIGIT_MATCHER.or(LETTER_MATCHER).or(DASH_MATCHER);

  /**

docker-hotfix: hotfix-push checks ## builds minio docker container with hotfix tags
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile

```bash
helm get values my-release > old_values.yaml
```

Then change the field `image.tag` in `old_values.yaml` file with MinIO image tag you want to use. Now update the chart using

```bash
helm upgrade -f old_values.yaml my-release minio/minio
```