}

footer {
	width: 100%;
	bottom: 0;
	height: 4em;
	position: absolute;
	border-top: 1px solid;
	padding-top: 1em;
}

h1,
h2,
h3 {
	line-height: 32px;
}

h1 {
	font-size: 30px;
}

h2 {
	font-size: 24px;
}

h3 {
	font-size: 18px;
}

.form-control {
	border-radius: 0px;
}

legend{
	display: none;
}

/* header */

#searchOptions {

# when using variables like `TFCI_OUTPUT_DIR` in `docker exec commands,
# requiring conditional path adjustments throughout the CI scripts.
# Note: This does not work for `docker cp` commands.
# For a little more detail, see:
# https://github.com/tensorflow/tensorflow/blob/cc3006af6fea8d2a1360b3b5e65f9d14bbdb7094/ci/devinfra/docker/windows2022/Dockerfile#L196
TFCI_OUTPUT_WIN_DOCKER_DIR='C:/drive_t'

        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            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

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

	config.Metadata.Retry.Backoff = (1 * time.Second)
	config.Metadata.RefreshFrequency = (15 * time.Minute)

	target.config = config

	brokers := []string{}
	for _, broker := range args.Brokers {
		brokers = append(brokers, broker.String())
	}

	client, err := sarama.NewClient(brokers, config)
	if err != nil {
		if !errors.Is(err, sarama.ErrOutOfBrokers) {

    groups:
      github-actions:
        patterns:
          - "*"

  - package-ecosystem: docker
    directory: /ci/devinfra/docker_windows
    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]

  - package-ecosystem: docker
    directory: /tensorflow/tools/gcs_test
    schedule:
      interval: monthly

</component>...

Weitere Informationen finden Sie im [Installationshandbuch](https://fess.codelibs.org/15.3/install/index.html).

### Docker

Wir bieten Docker-Images auf [ghcr.io](https://github.com/orgs/codelibs/packages) an. Wir stellen auch eine Docker Compose (YAML)-Datei in [diesem Repository](https://github.com/codelibs/docker-fess/tree/master/compose) bereit.

### Browser-Benutzeroberfläche

- Suchoberfläche: http://localhost:8080/

## 入门

您可以通过两种方式尝试 Fess。第一种是自行下载并安装，第二种是使用 [Docker](https://www.docker.com/products/docker-engine)。

### 下载并安装/运行

Fess 15.3 现已发布，可在 [发布页面](https://github.com/codelibs/fess/releases "download") 下载。提供三种下载形式：deb、rpm、zip。

以下命令展示了如何使用 zip 下载：

    $ unzip fess-15.3.x.zip
    $ cd fess-15.3.x
    $ ./bin/fess

更多详情请参阅 [安装指南](https://fess.codelibs.org/15.3/install/index.html)。

### Docker

	margin: 20px 0;
}

.notification {
	text-align: center;
}

ul.has-error {
	color: #dd4b39 !important;
	list-style-type: none;
	padding: 0;
}

.form-group .has-error + .form-control {
	border-color: #dd4b39 !important;
	box-shadow: none;
}

.sidebar-mini.sidebar-collapse .sidebar-search {
	display: none !important;
}

input[type="file"].form-control:not([type="file"]) {
	height: 0% !important;