ARG BASE_DISTRIBUTION=debug

# Version is the base image version from the TLD Makefile
ARG BASE_VERSION=latest
ARG ISTIO_BASE_REGISTRY=gcr.io/istio-release

# The following section is used as base image if BASE_DISTRIBUTION=debug
FROM ${ISTIO_BASE_REGISTRY}/base:${BASE_VERSION} as debug

# The following section is used as base image if BASE_DISTRIBUTION=distroless

  tag: latest

  # ImagePullSecrets for operator ServiceAccount, list of secrets in the same namespace
  # used to pull operator image. Must be set for any cluster configured with private docker registry.
  imagePullSecrets: []

  # Specify image pull policy if default behavior isn't desired.
  # Default behavior: latest images will be Always else IfNotPresent.
  imagePullPolicy: ""

### Docker

Nous fournissions des images docker sur [ghcr.io](https://github.com/orgs/codelibs/packages).
Nous proposons aussi un fichier Docker Compose (YAML) dans [ce repository](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaces Web

- Interface de recherche : http://localhost:8080/

![Interface de recherche](https://fess.codelibs.org/_images/fess_search_result1.png)

        // $(img).attr('src', contextPath + "/images/noimage.png");
        $(img)
          .parent()
          .parent()
          .css("display", "none");
      }
      imgData = null;
    });
    imgData.src = url;
  };

  $("img.thumbnail").each(function() {
    $(this).css(
      "background-image",
      'url("' + contextPath + '/images/loading.gif")'
    );

    s.parentNode.insertBefore(fess, s);
  })();
</script>
<fess:search></fess:search>
```

An example of Fess Site Search in use is below:

![Fess Site Search](https://fess.codelibs.org/_images/fess-ss-1.png "Fess Site Search")


### More Reading

#
# setup.python.sh: Install a specific Python version and packages for it.
# Usage: setup.python.sh <pyversion> <requirements.txt>

# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

  fun run() {
    // Use the imgur image upload API as documented at https://api.imgur.com/endpoints/image
    val requestBody =
      MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("title", "Square Logo")
        .addFormDataPart(
          "image",
          "logo-square.png",
          File("docs/images/logo-square.png").asRequestBody(MEDIA_TYPE_PNG),
        )

        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

!!! info
    请注意 `images` 键现在具有一组 image 对象是如何发生的。

## 深度嵌套模型

你可以定义任意深度的嵌套模型：

{!../../../docs_src/body_nested_models/tutorial007.py!}
```

!!! 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:

```Python hl_lines="15"
{!../../../docs_src/body_nested_models/tutorial008.py!}
```

    --build-arg REQUIREMENTS_FILE=jax.requirements.txt \
    --target=$target \
    --cache-from "$IMAGE" \
    -t "$IMAGE"  . && break
  done
  final=$?
  if [ $final -ne 0 ]; then
    exit $final
  fi
  set -e

  if [[ -n "$KOKORO_BUILD_ID" ]]; then
    gcloud auth configure-docker
    docker push "$IMAGE"
  fi