Partial

class brainpy.math.Partial(fun, *args, child_objs=None, dyn_vars=None, **keywords)

A picklable, object-aware partial application of a function.

Partial behaves like functools.partial(): it binds positional and keyword arguments to fun so that the remaining arguments can be supplied later when the instance is called. Unlike functools.partial(), it is a BrainPyObject, so any Variable instances and child BrainPyObject objects used by fun are registered and tracked.

Parameters:

• fun (Callable) – The function to be partially applied.

• *args (Any) – Positional arguments bound ahead of the call-time positional arguments.

• child_objs (Union[Callable, BrainPyObject, Sequence[BrainPyObject], Dict[str, BrainPyObject]]) – The children objects used in fun.

• dyn_vars (Union[Variable, Sequence[Variable], Dict[str, Variable]]) – The Variable instances used in fun.

• **keywords (Any) – Keyword arguments bound to fun. Keywords supplied at call time take precedence over those bound here.

See also

to_object

Transform a Python function into a BrainPyObject.

Examples

>>> import brainpy.math as bm
>>> add = bm.Partial(lambda x, y: x + y, 1)
>>> add(2)
3