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# simul_AB.py #import everuthing from reatcion.py to use it # reaction.py must be in the same folder from reaction import * # define the duplication reaction A -> 2A at rate gamma A_dup = Reaction( Let us look at simul_AB.py for example, adding commentaries Repeat a species mutliple times if it is consumed multiple times. Repeat a species multiple times if it is consumed multiple times. This is achived by the Reaction class in reaction.py. only species that may be consumed or produced are ever kept track on, and those are found automagically). The species are taken from the reactions (i.e.
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The first step is to write the reactions that take place in the SCNs. In this explaination, we will use simul_AB.py as an example Step 1 - Stochastic Chemical Network definition Step 1.1 - Reactions and species
WHAT IS SCN CODING HOW TO
Since the definition of the SCNs are programmatically distinc from the running of SCN, it is easy to use a single definiton shared between 10,000 of SCNs: they have the same reactions and starting species counts, but run independently How to use -Detailed Explanation This is achieved by the two classes Reaction and SCNBuilder define how the SCN works: what species, which reaction (with which rates), the initial counts of each species.To fullfil those, the workflow is done in two main steps: distribution functions of properties, expected values etc. easily simulate a large number of identical SCNs to obtain average information on the scn, e.g.The file reaction.py allows to do two important things that explain how it was design: It can serves as an example on how to use reaction.py simul_AB.py this files simulate the AB competing system.Those are expressed in 3 classes, Reaction, SCNBuilder, and SCN reaction.py provides all the utilities.This folder provides utilities for creating and running Stochastic Reaction Networks (SCNs) Files