inet.test.task.MultipleTestTasks
================================

.. py:class:: inet.test.task.MultipleTestTasks(name='test', multiple_task_results_class=MultipleTestTaskResults, **kwargs)

   Bases: :py:obj:`inet.common.MultipleTasks`


   Represents multiple test tasks that can be run together.

   Initializes a new multiple tasks object.

   :param tasks: The list of individual tasks that are run when this multiple tasks is run.
   :type tasks: List of :py:class:`Task`
   :param name: A human readable short description of the multiple tasks, usually a noun.
   :type name: string
   :param concurrent: Specifies if the individual tasks are run sequentially or concurrently.
   :type concurrent: bool
   :param randomize: Specifies if the order of execution is random or follows the order of storage for the tasks.
   :type randomize: bool
   :param chunksize: The number of tasks that are run together in a single batch if the tasks are running concurrently.
   :type chunksize: integer
   :param scheduler: Specifies how the tasks are scheduled. Valid values are "process", "thread", and "cluster".
   :type scheduler: string
   :param multiple_task_results_class: The Python class name of the produced multiple task results object.
   :type multiple_task_results_class: string


   .. py:method:: rerun(**kwargs)

      Runs the tasks again.

      Returns (:py:class:`MultipleTaskResults`):
          The task results.



   .. py:method:: run(context=None, progress=None, index=0, count=1, **kwargs)

      Runs all tasks sequentially or concurrently.

      :param kwargs: Additional  parameters are inherited from :py:meth:`Task.run`.
      :type kwargs: dict

      Returns (:py:class:`MultipleTaskResults`):
          The task results.