def handle(self):
		run_root = self.__backend_mgr.get_run_root(self.__task.data['backend'], self.__task.data['id'])

		main_root = os.path.join(run_root, 'main')

		safe_rmdir(main_root)
		safe_mkdir(main_root)

		self.__create_input(main_root)
		self.__create_context(main_root)
		self.__create_action(main_root)
		self.__create_navigator(main_root)
		self.__create_bootstrap(main_root)

		launcher_param = self.__create_launcher(run_root)

		self.__submit(launcher_param)
def __calculate_initial_covariances(self, initial_clusters):
        covariances = []
        for initial_cluster in initial_clusters:
            if len(initial_cluster) > 1:
                cluster_sample = [self.__sample[index_point] for index_point in initial_cluster]
                covariances.append(numpy.cov(cluster_sample, rowvar=False))
            else:
                dimension = len(self.__sample[0])
                covariances.append(numpy.zeros((dimension, dimension)) + random.random() / 10.0)