Event     string
	APIName   string
	Status    string
	Bucket    string
	Object    string
	VersionID string
	Error     string
	Tags      map[string]string
}

// sends audit logs for internal subsystem activity
func auditLogInternal(ctx context.Context, opts AuditLogOptions) {
	if len(logger.AuditTargets()) == 0 {
		return
	}

	entry := audit.NewEntry(globalDeploymentID())

// Register a listener method that processes printed messages.
//
// If any listeners are registered, the print operator will call all listeners
// with the printed messages and immediately return without writing to the
// logs.
TF_CAPI_EXPORT extern void TF_RegisterLogListener(
    void (*listener)(const char*));

// Register a FileSystem plugin from filename `plugin_filename`.
//
// On success, place OK in status.

// "<>",            yielding (true,  obj.ABI0)
// "<ABI0>"         yielding (false, obj.ABI0)
// "<ABIInternal>"  yielding (false, obj.ABIInternal)
//
// Anything else beginning with "<" logs an error if issueError is
// true, otherwise returns (false, obj.ABI0).
func (p *Parser) symRefAttrs(name string, issueError bool) (bool, obj.ABI) {
	abi := obj.ABI0
	isStatic := false
	if p.peek() != '<' {

		if err != nil {
			peersLogIf(context.Background(), fmt.Errorf("Failed to reload remote tier config %s", err))
		}
	}()

	return
}

// ConsoleLogHandler sends console logs of this node back to peer rest client
func (s *peerRESTServer) ConsoleLogHandler(ctx context.Context, params *grid.MSS, out chan<- *grid.Bytes) *grid.RemoteErr {
	mask, err := strconv.Atoi(params.Get(peerRESTLogMask))

	return ctx, cred, opts, createReq, targetUser, APIError{}
}

// setReqInfoPolicyName will set the given policyName as a tag on the context's request info,
// so that it appears in audit logs.
func setReqInfoPolicyName(ctx context.Context, policyName string) {
	reqInfo := logger.GetReqInfo(ctx)
	reqInfo.SetTags("policyName", policyName)

        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`