inet.common.task.MultipleTasks¶
- class inet.common.task.MultipleTasks(tasks=[], name='task', concurrent=True, pass_keyboard_interrupt=False, randomize=False, chunksize=1, scheduler='thread', cluster=None, multiple_task_results_class=MultipleTaskResults, **kwargs)¶
Represents multiple tasks that can be run together.
Initializes a new multiple tasks object.
- Parameters:
tasks (List of
Task) – The list of individual tasks that are run when this multiple tasks is run.name (string) – A human readable short description of the multiple tasks, usually a noun.
concurrent (bool) – Specifies if the individual tasks are run sequentially or concurrently.
randomize (bool) – Specifies if the order of execution is random or follows the order of storage for the tasks.
chunksize (integer) – The number of tasks that are run together in a single batch if the tasks are running concurrently.
scheduler (string) – Specifies how the tasks are scheduled. Valid values are “process”, “thread”, and “cluster”.
multiple_task_results_class (string) – The Python class name of the produced multiple task results object.
- rerun(**kwargs)¶
Runs the tasks again.
- Returns (
MultipleTaskResults): The task results.
- Returns (
- run(context=None, progress=None, index=0, count=1, **kwargs)¶
Runs all tasks sequentially or concurrently.
- Parameters:
kwargs (dict) – Additional parameters are inherited from
Task.run().
- Returns (
MultipleTaskResults): The task results.