resp, err := target.httpClient.Do(req)
	if err != nil {
		return err
	}
	xhttp.DrainBody(resp.Body)

	if resp.StatusCode >= 200 && resp.StatusCode <= 299 {
		// accepted HTTP status codes.
		return nil
	} else if resp.StatusCode == http.StatusForbidden {
		return fmt.Errorf("%s returned '%s', please check if your auth token is correctly set", target.args.Endpoint, resp.Status)
	}

func (c *connectReq) addToken(fn AuthFn) {
	c.Token = fn()
}

func (connectReq) Op() Op {
	return OpConnect
}

type connectResp struct {
	ID             [16]byte
	Accepted       bool
	RejectedReason string
}

func (connectResp) Op() Op {
	return OpConnectResponse
}

type muxConnectError struct {
	Error string
}

func (muxConnectError) Op() Op {

   *
   * @throws IOException if the request could not be executed due to cancellation, a connectivity
   *     problem or timeout. Because networks can fail during an exchange, it is possible that the
   *     remote server accepted the request before the failure.
   * @throws IllegalStateException when the call has already been executed.
   */
  @Throws(IOException::class)
  fun execute(): Response

  /**

이러한 작업에는 다음이 포함됩니다.

* 작업을 수행한 후 전송되는 이메일 알림
    * 이메일 서버에 연결하고 이메일을 전송하는 것은 (몇 초 정도) "느린" 경향이 있으므로, 응답은 즉시 반환하고 이메일 알림은 백그라운드에서 전송하는 게 가능합니다.
* 데이터 처리:
    * 예를 들어 처리에 오랜 시간이 걸리는 데이터를 받았을 때 "Accepted" (HTTP 202)을 반환하고, 백그라운드에서 데이터를 처리할 수 있습니다.

## `백그라운드 작업` 사용

먼저 아래와 같이 `BackgroundTasks`를 임포트하고, `BackgroundTasks`를 _경로 작동 함수_ 에서 매개변수로 가져오고 정의합니다.

{* ../../docs_src/background_tasks/tutorial001.py hl[1,13] *}

	writeErr := func(err error) {
		if err == nil {
			return
		}
		if errors.Is(err, io.EOF) {
			return
		}
		gridLogOnceIf(ctx, err, remoteAddr)
		resp := connectResp{
			ID:             m.ID,
			Accepted:       false,
			RejectedReason: err.Error(),
		}
		if b, err := resp.MarshalMsg(nil); err == nil {
			msg := message{
				Op:      OpConnectResponse,
				Payload: b,
			}

}

// Also unacceptable
String value = getSomeProperty().getOrElse("convention")

// This should be always:
String value = getSomeProperty().get()
```

## Status

ACCEPTED

## Consequences

# Maintenance Mode

**This project is currently under maintenance and is not accepting new changes.**

- The codebase is in a maintenance-only state
- No new features, enhancements, or pull requests will be accepted
- Critical security fixes may be evaluated on a case-by-case basis
- Existing issues and pull requests will not be actively reviewed
- Community support continues on a best-effort basis through [Slack](https://slack.min.io)

discussion, and please direct specific questions to
[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**

The TensorFlow project strives to abide by generally accepted best practices in
open-source software development.

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

      }
    }
  }

  @Throws(IOException::class)
  fun flush() {
    writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */

 * your server's TLS administrator!
 *
 * ### Note about self-signed certificates
 *
 * [CertificatePinner] can not be used to pin self-signed certificate if such certificate is not
 * accepted by [javax.net.ssl.TrustManager].
 *
 * See also [OWASP: Certificate and Public Key Pinning][owasp].
 *
 * [charles]: http://charlesproxy.com
 * [fiddler]: http://fiddlertool.com
 * [langley]: http://goo.gl/AIx3e5