TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
    TF_Status* status) {
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  auto collective_executor_handle = context->GetCollectiveExecutorHandle();
  tensorflow::Notification done;
  collective_executor_handle->get()->remote_access()->CheckPeerHealth(
      task, timeout_in_ms, [&done, status](const Status& s) {

Starlette und **FastAPI** basieren auf <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, welches diese sowohl mit der Python-Standardbibliothek <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a>, als auch mit <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a> kompatibel macht.

  // chosen for the operation by the device placement logic in the
  // executor. After that, the value returned by DeviceName will be a full
  // device name such as "/job:localhost/replica:0/task:0/device:GPU:1".
  virtual const string& DeviceName() const = 0;

  // Sets the operation device name.
  //
  // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and

mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

///

## Hypercorn with Trio

Starlette 和 **FastAPI** 基于 <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>， 所以它们才能同时与 Python 的标准库 <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> 和<a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a> 兼容。

<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>keychain-access-groups</key>
	<array><string>` + appID + `</string></array>
	<key>get-task-allow</key>
	<true/>
	<key>application-identifier</key>
	<string>` + appID + `</string>
	<key>com.apple.developer.team-identifier</key>
	<string>` + teamID + `</string>
</dict>
</plist>
`
}

    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost:", port)});
    LOG(INFO) << "Picked test port: " << port << " for job: " << job_name
              << ", task: " << i;
  }
  return server_def;
}

tensorflow::ServerDef GetServerDef(int num_tasks) {
  return GetServerDef("localhost", num_tasks);
}

pkg runtime/trace, func NewTask(context.Context, string) (context.Context, *Task)
pkg runtime/trace, func StartRegion(context.Context, string) *Region
pkg runtime/trace, func WithRegion(context.Context, string, func())
pkg runtime/trace, method (*Region) End()
pkg runtime/trace, method (*Task) End()
pkg runtime/trace, type Region struct
pkg runtime/trace, type Task struct
pkg syscall (netbsd-386), func Accept4(int, int) (int, Sockaddr, error)

| append              | no        |
| rename              | no        |

MinIO supports following FTP/SFTP based protocols to access and manage data.

- Secure File Transfer Protocol (SFTP) – Defined by the Internet Engineering Task Force (IETF) as an
  extended version of SSH 2.0, allowing file transfer over SSH and for use with Transport Layer
  Security (TLS) and VPN applications.

    public void destroy() {
        shutdownHookList.forEach(action -> {
            try {
                action.run();
            } catch (final Exception e) {
                logger.warn("Failed to process shutdown task.", e);
            }
        });
    }

    public String getUsername() {
        final RequestManager requestManager = ComponentUtil.getRequestManager();