Task

class PlasmaCalcs.tools.multiprocessing.Task(f, args=None, kw=None, *, i=None)

Bases: object

a single task, i.e. a function, args, & kwargs.

Calling self will perform the task, i.e. self.result=f(*args, **kw), and return result.

Alternatively, calling self.apply_async(pool) enables to perform task in parallel,

using the muliprocessing module.

f: callable

The function to be called during task evaluation.

if using ncpu > 1, f must be compatible with multiprocessing, i.e. it must be pickleable,

e.g. it should be defined at the top level of a module or as a class method.

args: iterable of args or non-iterable object.

if iterable, will be interpreted as the list of args.

if non-iterable, will use args = [args].

i: any object

optionally, index for this task.

Useful when task appears inside a TaskContainer.

Methods

__call__(**kw)	perform the task, i.e. return f(*args, **kw).
apply_async(pool, *[, kw])	perform the task asynchronously, i.e. pool.apply_async(...).
get_kw([kw])	gets self.kw, but updated with values from kw.
implied(task_info, *[, force_kw])	return the Task implied from task_info.
new_with([f, args, kw, i])	return a new Task, with the given inputs.

__call__(**kw)

perform the task, i.e. return f(*args, **kw).

kw: dict

kwargs for task will be task.kw, but updated with kw.

E.g. if task.kw = {‘x’: 1}, and kw = {‘y’: 2}, –> task called with x=1, y=2.

apply_async(pool, *, kw={})

perform the task asynchronously, i.e. pool.apply_async(…)

Equivalent to pool.apply_async(self.f, args=self.args, kwds=self.kw)

kw: dict

kwargs for task will be task.kw, but updated with kw.

E.g. if task.kw = {‘x’: 1}, and kw = {‘y’: 2}, –> task called with x=1, y=2.

get_kw(kw={})

gets self.kw, but updated with values from kw. (doesn’t alter self.kw)

[EFF] if kw is empty, return self.kw instead of making a copy.

classmethod implied(task_info, *, force_kw=True, **kw_init)

return the Task implied from task_info.

task_info: Task, iterable, or callable.

Task –> return task_info, unchanged (unless force_kw and len(kw_init)>0).

if task_info is not an instance of cls but it is a Task, raise TypeError.

iterable –> return Task(*task_info).

callable –> return Task(task_info).

force_kw: bool

applies if kw_init provided and task_info is a Task…

True –> return task_info.new_with(**kw_init)

False –> return task_info, unchanged.

kw_init: pass to Task(…, **kw_init) if task_info is not already a Task.

new_with(f=UNSET, args=UNSET, kw=UNSET, i=UNSET)

return a new Task, with the given inputs. Use value from self for UNSET inputs.

E.g. Task(f, [5,6]).new_with(f=g, kw=dict(y=7)) –> Task(g, [5,6], dict(y=7))