}
	impersonateConfig := i.getImpersonateConfig()
	rawConfigContexts := maps.Keys(rawConfig.Contexts)
	for _, c := range contexts {
		if !slices.Contains(rawConfigContexts, c) {
			return nil, fmt.Errorf("context %q not found", c)
		}
	}
	var clients []kube.CLIClient
	for _, contextName := range contexts {
		if i.remoteClients[contextName] != nil {
			clients = append(clients, i.remoteClients[contextName])

        op_outputs_ = std::vector<TensorHandlePtr>();
        Execute(context_, operation_name_, std::move(op_inputs_), attributes_,
                expected_max_outputs_, &op_outputs_, status_.get());
        execution_state_ = ExecutionState::kHasResult;
      }
    }
    finished_execute_.notify_one();
  }
}

void DeviceThread::StartExecute(TFE_Context* context,
                                const char* operation_name,

}

namespace tensorflow {
namespace {
class CustomDeviceAPI : public tensorflow::CustomDevice {
 public:
  CustomDeviceAPI(TFE_Context* context, TFE_CustomDevice device, void* info,
                  string name)
      : context_(context), device_(device), info_(info), name_(name) {}

  ~CustomDeviceAPI() override { device_.delete_device(info_); }

  const string& name() override { return name_; }

  // Set up distributed execution environment on local and remote tasks.
  // When `reset_context` is true, initialize new cluster context state based
  // on cluster configurations provided in `server_def`; otherwise, update
  // existing context state with the provided `server_def`. Contexts created
  // on remote tasks will be considered stale and garbage collected after
  // `keep_alive_secs` of inactivity.

## Gerenciadores de contexto

### O que são gerenciadores de contexto

"Gerenciadores de Contexto" são qualquer um dos objetos Python que podem ser utilizados com a declaração `with`.

		return
	}

	// If a specific context was specified, use that. Otherwise, just use the current context from the kube config.
	selectedContext := config.CurrentContext
	if *r.configContext != "" {
		selectedContext = *r.configContext
	}

	// Use the namespace associated with the selected context as default, if the context has one
	context, ok := config.Contexts[selectedContext]
	if !ok {

  name: {cluster}
contexts:
- context:
    cluster: {cluster}
    user: {cluster}
  name: {cluster}
current-context: {cluster}
kind: Config
preferences: {}
users:
- name: {cluster}
  user:
    token: token
`, "{cluster}", fakeClusterName)

	cases := []struct {
		name               string
		clusterName        string
		context            string
		server             string

		"analyze a specific revision deployed.")
	analysisCmd.PersistentFlags().StringArrayVar(&remoteContexts, "remote-contexts", []string{},
		`Kubernetes configuration contexts for remote clusters to be used in multi-cluster analysis. Not to be confused with '--context'. `+
			"If unspecified, contexts are read from the remote secrets in the cluster.")
	return analysisCmd
}

	return val
}

func setCaller(ctx context.Context, cl *RemoteClient) context.Context {
	//nolint:staticcheck // SA1029 Staticcheck is drunk.
	return context.WithValue(ctx, ctxCallerKey{}, cl)
}

func setSubroute(ctx context.Context, s string) context.Context {
	//nolint:staticcheck // SA1029 Staticcheck is drunk.
	return context.WithValue(ctx, ctxSubrouteKey{}, s)
}

        // system and user properties
        context.systemProperties = populateSystemProperties(context);
        context.userProperties = populateUserProperties(context);

        // options: interpolate
        context.options = context.options.interpolate(
                Arrays.asList(context.extraInterpolationSource(), context.userProperties, context.systemProperties));

        // core extensions