ScipySim 0.1.6 (experimental)

Simulation in Python.

Scipy Simulator provides a concurrent way of modelling and simulating heterogeneous systems in Python using scipy. You might find it most useful for tasks involving embedded systems or signal processing.

Scipysim models are created in pure Python code, by instantiating various actors representing different components of a systems, and connecting the actors to each other through channels. Here's a simple example of what a model looks like:

#!/usr/bin/env python

from scipysim.actors.signal import Ramp from scipysim.actors.display import Plotter from scipysim.actors import Channel, Model

class RampPlot( Model ): def __init__( self ): super( RampPlot, self ).__init__() connection = Channel() src = Ramp( connection ) dst = Plotter( connection ) self.components = [src, dst]

RampPlot().run()

You can find a number of other examples of models in the 'models' directory.

The scipysim project is inspired by the UC Berkeley Ptolemy project, but we are taking a slightly different approach to implementing the simulation engine. Our approach is based on implementing the simulator as a Kahn network of actors that communicate via tagged-signals. Each of these actors run in their own thread, and communicate via dedicated Channels - which are based on the thread safe FIFO queue implementation in the Python standard library. These base level actors can be composed together to create models, which are also actors in their own right - running in their own thread with all communication occurring through input and output channels.

Scipysim is still very much under active development, and contains a number of experimental or prototype components. The structure of the simulator is in a state of flux, so there are no guarantees that models developed to work with a particular release will still work with the next release.

./scipysim/test_scipysim.py