source: experiments/frams/multi-threading/data/scripts/test-mt.script @ 470

script:
name:Multithreading efficiency test
help:Multithreading efficiency test
code:~
function main_args(complexify_geno,timeinterval,intervals)
{
        // ExpParams.mix_period (percentage of the gene pool capacity) is kept at the default value (1000%)

        Math.randomize();
        //Simulator.expdef="standard-mt"; //set multithreaded experiment; this is done by the shell script
        
        ExpParams.initialgen="XX[|,1:1][N,1:1,2:1][T][G]";
        for(var i=0;i<complexify_geno;i++) //make a big genotype by doubling the simple one above. Note: exponential!
                ExpParams.initialgen=ExpParams.initialgen+ExpParams.initialgen;
        
        Simulator.init();
        //Simulator.print(GenePools[0][0].genotype); //ensure that the initialgen is in the gene pool - init() does this
                
        var t0=Math.time;
        var next_pause;
        Simulator.start();
        for(var iter=0;iter<intervals;iter++)
        {
                next_pause=Math.time+timeinterval;
                while (Math.time<next_pause && Simulator.running) Simulator.step(); 
                if (iter==(intervals-1))
                    Simulator.stop();
                Simulator.print("iter=%d, simsteps=%d, evals=%d, migrations=%d, gen_count=%d, avg_numparts=%g, fit_avg=%g, fit_max=%g, time=%f, migration_time=%f, T=%d, C=%d" % iter % Simulator.stepNumber % ExpState.totaltests % ExpState.migrations % stats.gen_count % stats.st_avg_numparts % stats.st_avg_fit % stats.st_max_fit % (Math.time-t0) % ExpState.migration_time % ExpParams.threads % ExpParams.capacity);
                Simulator.print(GenePools[0].best().genotype);
        }
}
~