val headers: List<String>? by option("-H", "--header").help("Custom header to pass to server").multiple()

  val userAgent: String by option(
    "-A",
    "--user-agent",
  ).help(
    "User-Agent to send to server",
  ).default(NAME + "/" + versionString())

  val connectTimeout: Int by option(
    "--connect-timeout",
  ).help(
    "Maximum time allowed for connection (seconds)",
  ).int()

MinIO batch jobs framework also provides

- Retrying a failed job automatically driven by user input
- Monitoring job progress in real-time
- Send notifications upon completion or failure to user configured target

Following YAML describes the structure of a replication job, each value is documented and self-describing.

```yaml
replicate:
  apiVersion: v1

     * Used when authSchemeType is NTLM to configure the JCIFS engine.
     *
     * <p>Supported parameters include:</p>
     * <ul>
     * <li>jcifs.smb.client.SO_SNDBUF - TCP send buffer size</li>
     * <li>jcifs.smb.client.SO_RCVBUF - TCP receive buffer size</li>
     * <li>jcifs.smb.client.domain - Default domain</li>
     * <li>And other jcifs.* properties</li>
     * </ul>
     */

É isso que vamos resolver: vamos carregar o modelo antes de as requisições serem tratadas, mas apenas um pouco antes de a aplicação começar a receber requisições, não enquanto o código estiver sendo carregado.

## Lifespan { #lifespan }

 5. It sends the HTTP request and reads the response.

```
export MINIO_KMS_AUTO_ENCRYPTION=on
```

### Verify auto-encryption

> Note that auto-encryption only affects requests without S3 encryption headers. So, if a S3 client sends
> e.g. SSE-C headers, MinIO will encrypt the object with the key sent by the client and won't reach out to
> the configured KMS.

To verify auto-encryption, use the following `mc` command:

```

/// note | 技术细节

您也可以使用 `from starlette.websockets import WebSocket`。

**FastAPI** 直接提供了相同的 `WebSocket`，只是为了方便开发人员。但它直接来自 Starlette。

///

## 等待消息并发送消息 { #await-for-messages-and-send-messages }

在您的 WebSocket 路由中，您可以使用 `await` 等待消息并发送消息。

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下 { #try-it }

将代码放在 `main.py`，然后运行你的应用程序：

				// - practically speaking this never happens
				// and should never happen - however it has
				// been seen recently due to hardware issues
				// causes Reads() to go slower than Writes().
				//
				// Send such results anyways as this shall
				// expose a problem underneath.
				if totalPut > throughputHighestPut {
					throughputHighestResults = results
					throughputHighestPut = totalPut

/// note | 技術細節

你也可以使用 `from starlette.websockets import WebSocket`。

**FastAPI** 直接提供相同的 `WebSocket` 只是為了方便你這位開發者，但它其實是直接來自 Starlette。

///

## 等待與傳送訊息 { #await-for-messages-and-send-messages }

在你的 WebSocket 路由中，你可以 `await` 接收訊息並傳送訊息。

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

你可以接收與傳送二進位、文字與 JSON 資料。

## 試試看 { #try-it }

如果你的檔案名為 `main.py`，用以下指令執行應用：

# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.
# TODO(b/316932689): Avoid copying and replace with a local repository rule.
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then
  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr"