nicolargo / glances

            return False

        return all_tag[0].lower() == 'true'

    @GlancesPluginModel._check_decorator

    @GlancesPluginModel._log_result_decorator

    def update(self) -> List[Dict]:

        """Update VMs stats using the input method."""

        # Connection should be ok

        if not self.watchers or self.input_method != 'local':

            return self.get_init_value()

        # Update stats

        stats = []

        for engine, watcher in iteritems(self.watchers):

            version, vms = watcher.update(all_tag=self._all_tag())

            for vm in vms:

                vm["engine"] = engine

                vm["engine_version"] = version

            stats.extend(vms)

        # Sort and update the stats

        # TODO: test

        self.sort_key, self.stats = sort_vm_stats(stats)

        return self.stats

    def update_views(self) -> bool:

        """Update stats views."""

            return False

        return all_tag[0].lower() == 'true'

    @GlancesPluginModel._check_decorator

    @GlancesPluginModel._log_result_decorator

    def update(self) -> List[Dict]:

        """Update Docker and podman stats using the input method."""

        # Connection should be ok

        if not self.watchers:

            return self.get_init_value()

        if self.input_method != 'local':

            return self.get_init_value()

        # Update stats

        stats = []

        for engine, watcher in iteritems(self.watchers):

            version, containers = watcher.update(all_tag=self._all_tag())

            for container in containers:

                container["engine"] = engine

            stats.extend(containers)

        # Sort and update the stats

        # @TODO: Have a look because sort did not work for the moment (need memory stats ?)

        self.sort_key, self.stats = sort_docker_stats(stats)

        return self.stats

    @staticmethod

    def memory_usage_no_cache(mem: Dict[str, float]) -> float: