7.2.8.20. SubDispatchFunction

class SubDispatchFunction(dsp=None, *args, **kwargs)[source]

It converts a Dispatcher into a function.

This function takes a sequence of arguments or a key values as input of the dispatch.

Returns

A function that executes the dispatch of the given dsp.

Return type

callable

See also

dispatch(), shrink_dsp()

Example:

A dispatcher with two functions max and min and an unresolved cycle (i.e., a –> max –> c –> min –> a):

Extract a static function node, i.e. the inputs a and b and the output a are fixed:

>>> fun = SubDispatchFunction(dsp, 'myF', ['a', 'b'], ['a'])
>>> fun.__name__
'myF'
>>> fun(b=1, a=2)
0.0

The created function raises a ValueError if un-valid inputs are provided:

>>> fun(1, 0)  
Traceback (most recent call last):
...
DispatcherError:
  Unreachable output-targets: ...
  Available outputs: ...

Methods

__init__

Initializes the Sub-dispatch Function.

blue

Constructs a Blueprint out of the current object.

copy

form

Creates a dispatcher Form Flask app.

get_node

Returns a sub node of a dispatcher.

plot

Plots the Dispatcher with a graph in the DOT language with Graphviz.

web

Creates a dispatcher Flask app.
__init__(dsp, function_id=None, inputs=None, outputs=None, cutoff=None, inputs_dist=None, shrink=True, wildcard=True)[source]

Initializes the Sub-dispatch Function.

Parameters

  • dsp (schedula.Dispatcher | schedula.utils.blue.BlueDispatcher) – A dispatcher that identifies the model adopted.

  • function_id (str, optional) – Function name.

  • inputs (list[str], iterable, optional) – Input data nodes.

  • outputs (list[str], iterable, optional) – Ending data nodes.

  • cutoff (float, int, optional) – Depth to stop the search.

  • inputs_dist (dict[str, int | float], optional) – Initial distances of input data nodes.

Attributes

var_keyword