connectors

Connectors

The Connectors package facilitates the writing of block-diagram-like processing networks. For this it provides decorators for the methods of processing classes, so they can be connected to each other. When a parameter in such a processing network is changed, the result values will also be updated automatically. This is similar to a pipes and filters architecture, the observer pattern or streams.

This short example demonstrates the core functionality of the Connectors package by implementing a processing network of two sequential blocks, which double their input value:

import connectors

class TimesTwo: ... def init(self, value=0): ... self.__value = value ... ... @connectors.Input("get_double") ... def set_value(self, value): ... self.__value = value ... ... @connectors.Output() ... def get_double(self): ... return 2 * self.__value

d1 = TimesTwo() # create an instance that doubles its input value d2 = TimesTwo().set_value.connect(d1.get_double) # create a second instance and connect it to the first d2.get_double() 0 d1.set_value(2) d2.get_double() # causes the new input value 2 to be processed by d1 and d2 8

Installation

The Connectors package requires Python version 3.6 or later. Python 3.5 might work, but this is not tested.

::

pip3 install connectors

Documentation

The documentation for the Connectors librariy can be found on Read the Docs <https://connectors.readthedocs.io/en/latest/>_.

License

The Connectors package is published under the terms and conditions of the GNU lesser general public license version 3 or later (LGPLv3+).