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How to use run_in_parallel_async method in lisa

Best Python code snippet using lisa_python

dpdkutil.py

Source:dpdkutil.py

...306        run_kit: Tuple[DpdkTestResources, str]307    ) -> Tuple[DpdkTestResources, str]:308        testkit, cmd = run_kit309        return (testkit, testkit.testpmd.run_for_n_seconds(cmd, seconds))310    task_manager = run_in_parallel_async(311        [partial(_run_command_with_testkit, x) for x in cmd_pairs_as_tuples],312        _collect_dict_result,313    )314    return task_manager315def init_nodes_concurrent(316    environment: Environment, log: Logger, variables: Dict[str, Any], pmd: str317) -> List[DpdkTestResources]:318    # Use threading module to parallelize the IO-bound node init.319    test_kits = run_in_parallel(320        [321            partial(initialize_node_resources, node, log, variables, pmd)322            for node in environment.nodes.list()323        ],324        log,...

parallel.py

Source:parallel.py

...126        _default_task_manager.cancel()127def check_cancelled() -> None:128    if _default_task_manager:129        _default_task_manager.check_cancelled()130def run_in_parallel_async(131    tasks: List[Callable[[], T_RESULT]],132    callback: Callable[[T_RESULT], None],133    log: Optional[Logger] = None,134) -> TaskManager[T_RESULT]:135    """136    For concurrent complex tasks, returns the task manager after submitting137    """138    task_manager = TaskManager(max_workers=len(tasks), callback=callback)139    for index, task in enumerate(tasks):140        task_manager.submit_task(Task(task_id=index, task=task, parent_logger=log))141    return task_manager142def run_in_parallel(143    tasks: List[Callable[[], T_RESULT]], log: Optional[Logger] = None144) -> List[T_RESULT]:145    """146    The simple version of concurrency task. It wait all task complete147    """148    results: List[T_RESULT] = []149    def simple_collect_result(result: T_RESULT) -> None:150        """151        Because the task is wait for all completed, and then call back the result, so152        the results are ordered.153        """154        results.append(result)155    task_manager = run_in_parallel_async(tasks, simple_collect_result, log)156    task_manager.wait_for_all_workers()...

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