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A python binding of C++ package for stochastic simulations of spatially extended systems

Project description


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A Python binding of a C++ software package for stochastic simulations of spatially extended systems, StoSpa2. Code-base has been completely refactored since the previous version of StoSpa. Python bindings have also been included.


Easy way

pip install pystospa

Hard way

After cloning the following repository

git clone --recursive

do the following

cd StoSpa2
python install

This way of installing pystospa assumes the following packages are installed are met

  • scikit-build
  • setuptools
  • wheel
  • cmake


Let's consider the following chemical reaction

A \rightarrow \emptyset

happening at rate k. The python code for this simulation is as follows

import pystospa as ss

v = ss.Voxel([100], 1.0)
r = ss.Reaction(1.0, lambda x, y : x[0], [-1])

s = ss.Simulator([v])"example.dat", 0.01, 500)

After importing pystospa, we create the voxel and reaction objects with

v = ss.Voxel([100], 1.0)
r = ss.Reaction(1.0, lambda x, y : x[0], [-1])

and then we add the reaction object to the voxel object.


And finally, we pass the voxel objects, contained in a list, to a simulator object

s = ss.Simulator([v])"example.dat", 0.01, 500)

and we invoke the run function of the Simulator class, to run a stochastic simulation saving the state every 0.01 seconds for 500 steps.

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