serviceAccountName: {{ .Values.serviceAccount.name }} {{- end }} containers: - name: {{ .Chart.Name }} image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}" imagePullPolicy: {{ .Values.image.pullPolicy }} command: - "/bin/sh" - "-ce" - "/usr/bin/docker-entrypoint.sh minio server {{ $bucketRoot }} -S {{ .Values.certsPath }} --address :{{ .Values.minioAPIPort }} --console-address :{{ .Values.minioConsolePort }} {{- template "minio.extraArgs" . }}" volumeMounts: - name: minio-user mountPath: "/tmp/credentials"...

 - Conformance image is now built with Distroless. Users running Conformance testing should rely on container entrypoint instead of manual invocation to `/run_e2e.sh` or `/gorunner`, as they are now deprecated and will be removed in 1.25 release. Invoking `ginkgo` and `e2e.test` are still supported through overriding entrypoint (docker) or defining container `spec.command` (kubernetes). ([#99178](https://github.com/kubernetes/kubernetes/pull/99178), [@wilsonehusin](...

from typing_extensions import deprecated

AppType = TypeVar("AppType", bound="FastAPI")


class FastAPI(Starlette):
    """
    `FastAPI` app class, the main entrypoint to use FastAPI.

    Read more in the
    [FastAPI docs for First Steps](https://fastapi.tiangolo.com/tutorial/first-steps/).

    ## Example

    ```python
    from fastapi import FastAPI

    private val ignorePackages: PackagePatterns,
    shadowPackage: String
) {

    private
    val classes: MutableMap<String, ClassDetails> = linkedMapOf()

    val entryPoints: MutableSet<ClassDetails> = linkedSetOf()

    val shadowPackagePrefix =
        shadowPackage.takeIf(String::isNotEmpty)
            ?.let { it.replace('.', '/') + "/" }
            ?: ""

Então, crie um arquivo `traefik.toml` com:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

Isso diz ao Traefik para escutar na porta 9999 e usar outro arquivo `routes.toml`.

Then create a file `traefik.toml` with:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

This tells Traefik to listen on port 9999 and to use another file `routes.toml`.

Затем создайте файл `traefik.toml` со следующим содержимым:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

Это говорит Traefik слушать порт 9999 и использовать другой файл `routes.toml`.

<a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">下载 Traefik</a>，这是一个二进制文件，需要解压文件，并在 Terminal 中直接运行。

然后创建包含如下内容的 `traefik.toml` 文件：

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

这个文件把 Traefik 监听端口设置为 `9999`，并设置要使用另一个文件 `routes.toml`。

/// tip | 提示

Luego crea un archivo `traefik.toml` con:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

Esto le dice a Traefik que escuche en el puerto 9999 y que use otro archivo `routes.toml`.

   */
  static <E extends @Nullable Object> void writeMultiset(
      Multiset<E> multiset, ObjectOutputStream stream) throws IOException {
    int entryCount = multiset.entrySet().size();
    stream.writeInt(entryCount);
    for (Multiset.Entry<E> entry : multiset.entrySet()) {
      stream.writeObject(entry.getElement());
      stream.writeInt(entry.getCount());
    }
  }

  /**