TF_DeleteCheckpointReader(reader);
    return nullptr;
  }
  const auto& m = reader->GetVariableToDataTypeMap();
  for (auto it = m.begin(); it != m.end(); ++it)
    reader->variable_list.push_back(it->first);
  std::sort(reader->variable_list.begin(), reader->variable_list.end());
  return reader;
}

void TF_DeleteCheckpointReader(TF_CheckpointReader* reader) { delete reader; }

// handlers:
//
// - updates request context with `logger.ReqInfo` and api name based on the
// name of the function handler passed (this handler must be a method of
// `adminAPIHandlers`).
//
// - sets up call to send AuditLog
//
// While this is a middleware function (i.e. it takes a handler function and
// returns one), due to flags being passed based on required conditions, it is
// done per-"handler function registration" in the router.

	for dID, v := range state.Peers {
		if v.DeploymentID == globalDeploymentID() {
			continue
		}
		// if individual deployment change like mode, endpoint, default bandwidth
		// send it to all sites. Else send the current node details to all sites
		// for ILM expiry flag update
		var p madmin.PeerInfo
		if peer.DeploymentID != "" {
			p = pi
		} else {
			p = v
		}
		wg.Add(1)

		reqInfo := (&logger.ReqInfo{}).AppendTags("peerAddress", thisAddr.String())
		ctx := logger.SetReqInfo(ctx, reqInfo)
		bugLogIf(ctx, err)
		return profilingDataFound
	}

	profilingDataFound = true

	// Send profiling data to zip as file
	for typ, data := range data {
		err := embedFileInZip(zipWriter, fmt.Sprintf("profile-%s-%s", thisAddr, typ), data, 0o600)
		internalLogIf(ctx, err)
	}

	return profilingDataFound

    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

/// info | 정보

클라이언트에 **하나의 응답** 만 전송됩니다. 이는 오류 응답 중 하나일 수도 있고,*경로 작업*에서 생성된 응답일 수도 있습니다.

이러한 응답 중 하나가 전송된 후에는 다른 응답을 보낼 수 없습니다.

///

	if hasSpaceBE(createReq.AccessKey) {
		return ctx, auth.Credentials{}, newServiceAccountOpts{}, madmin.AddServiceAccountReq{}, "", errorCodes.ToAPIErr(ErrAdminResourceInvalidArgument)
	}

	if err := createReq.Validate(); err != nil {
		// Since this validation would happen client side as well, we only send
		// a generic error message here.

			// itself will not leak.
			<-h.traverseAndHealDoneCh
		}()
	}
}

func (h *healSequence) queueHealTask(source healSource, healType madmin.HealItemType) error {
	// Send heal request
	task := healTask{
		bucket:    source.bucket,
		object:    source.object,
		versionID: source.versionID,
		opts:      h.settings,
	}
	if source.opts != nil {
		task.opts = *source.opts

			if errors.Is(err, io.EOF) {
				err = nil
			}
			break
		}

		stat = append(stat, st)
	}

	return stat, toStorageErr(err)
}

// ReadMultiple will read multiple files and send each back as response.
// Files are read and returned in the given order.
// The resp channel is closed before the call returns.
// Only a canceled context or network errors returns an error.

        } else {
          throw IllegalStateException()
        }
        if (name == "expect" && value.equals("100-continue", ignoreCase = true)) {
          // Don't read the body unless we've invited the client to send it.
          readBody = false
        }
      }
      val headers = httpHeaders.build()

      val peek = dispatcher.peek()
      for (response in peek.informationalResponses) {

This is the case for most of the web applications.

Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.

And then waiting 🕙 again for the responses to come back.

This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.

That's why it makes a lot of sense to use asynchronous ⏸🔀⏯ code for web APIs.