amfe.num_exp_toolbox module

Numerical Experiments Toolbox.

Example

amfe.num_exp_toolbox.apply_async(pool, fun, args)[source]

Run a function asynchrounously.

Parameters:
  • pool (instance of multiprocessing.Pool) – A pool for running stuff in parallel
  • fun (function) – function
  • args (list) – arguments of function gathered in a list without keywords.
Returns:

job_result – Return value of the apply_async method of the Pool-class
Return type:

multiprocessing.Pool.apply instance

Examples

>>> import multiprocessing
>>> pool = multiprocessing.Pool()
>>>
>>> def func(a,b):
>>>     return a + b
>>>
>>> job_result = amfe.apply_async(pool, func, [1, 2])
>>> job_result.get()
3

Note

The apply async stuff needs to pickle an object. As some nested functions used in amfe cannot be pickled, the dill module has to be used. This is done by the given method.