If you do need to stabilise a test with Monte Carlo simulations, it can be broken into two. The first test checks the operation up to the MC sims (if required). Then the second test loads a saved state whereby all operations up to the simulations have been completed. I.e. the randomness of the Monte Carlo simulations is removed by storing and using the same random result each time.
Regards, Edward On 30 July 2014 12:01, Edward d'Auvergne <[email protected]> wrote: > Hi, > > I'd have to look at that. This sometimes happens if the base data are > exponential curves, as then the R2eff errors are determined by Monte > Carlo simulations which are random. And because it is a test the > number of simulations are low so the randomness is quite large. This > randomness will then be propagated into the higher models. Apart from > the unique case of Monte Carlo simulations (or the unit tests for a > few other functions which use the 'random' Python module), a test > should return the same result to machine precision every single time. > It must be identical. > > Regards, > > Edward > > > > > On 30 July 2014 11:47, Troels Emtekær Linnet <[email protected]> wrote: >> Hi Ed. >> >> I am using system test: >> Relax_disp.test_r1rho_kjaergaard_auto >> >> to check the outcome of the graphs i am aiming for. >> >> But the shape of the graphs are changing every time I run the test. >> >> The test is running fast by: >> OPT_FUNC_TOL = 1e-1 >> OPT_MAX_ITERATIONS = 1000 >> >> But I don't understand why it does not come to the same result everytime? >> >> Is there some "random" involved? >> >> best >> Troels >> >> >> Troels Emtekær Linnet >> >> _______________________________________________ >> relax (http://www.nmr-relax.com) >> >> This is the relax-devel mailing list >> [email protected] >> >> To unsubscribe from this list, get a password >> reminder, or change your subscription options, >> visit the list information page at >> https://mail.gna.org/listinfo/relax-devel _______________________________________________ relax (http://www.nmr-relax.com) This is the relax-devel mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-devel
