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

        final String mimeType = responseData.getMimeType();
        if (mimeType == null) {
            return true;
        }

        return switch (mimeType) {
        case "image/png", "image/gif", "image/jpeg", "image/bmp" -> true;
        default -> false;
        };
    }

    protected Result saveImage(final ImageInputStream input, final File outputFile) throws IOException {

  mssql:
    image: '${MSSQL_IMAGE:-mcmoe/mssqldocker}:latest'
    ports:
      - "9930:1433"
    environment:
      - TZ=Asia/Shanghai
      - ACCEPT_EULA=Y
      - SA_PASSWORD=LoremIpsum86
      - MSSQL_DB=gorm
      - MSSQL_USER=gorm
      - MSSQL_PASSWORD=LoremIpsum86
  tidb:
    image: 'pingcap/tidb:v6.5.0'
    ports:
      - "9940:4000"

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

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

or in Python 3.9 and above:

```Python
images: list[Image]
```

as in:

=== "Python 3.9+"

        <img class="sponsor-image" src="/img/sponsors/platform-sh-banner.png" />
      </a>
    </div>
    <div class="item">
      <a title="Deploy FastAPI on AWS with a few clicks" style="display: block; position: relative;" href="https://www.porter.run" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/porter-banner.png" />
      </a>
    </div>

}

// ImageReviewContainerSpec is a description of a container within the pod creation request.
message ImageReviewContainerSpec {
  // This can be in the form image:tag or image@SHA:012345679abcdef.
  // +optional
  optional string image = 1;
}

// ImageReviewSpec is a description of the pod creation request.
message ImageReviewSpec {

    runs-on: ubuntu-latest

    services:
      openldap:
        image: quay.io/minio/openldap
        ports:
          - "389:389"
          - "636:636"
        env:
          LDAP_ORGANIZATION: "MinIO Inc"
          LDAP_DOMAIN: "min.io"
          LDAP_ADMIN_PASSWORD: "admin"
      etcd:
        image: "quay.io/coreos/etcd:v3.5.1"
        env:
          ETCD_LISTEN_CLIENT_URLS: "http://0.0.0.0:2379"

    Note como `Offer` tem uma lista de `Item`s, que por sua vez possui opcionalmente uma lista `Image`s

## Corpos de listas puras

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:


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

como em:

```Python hl_lines="15"

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

!!! info "정보"
    `Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요

## 순수 리스트의 본문

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

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

이를 아래처럼:

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

      serviceAccountName: {{ .Values.serviceAccount.name }}
      {{- end }}
      containers:
        - name: {{ .Chart.Name }}
          image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
          imagePullPolicy: {{ .Values.image.pullPolicy }}
          command:
            - "/bin/sh"
            - "-ce"