Author: bugman Date: Fri Jun 7 18:04:01 2013 New Revision: 19956 URL: http://svn.gna.org/viewcvs/relax?rev=19956&view=rev Log: Speed up of the r1rho_on_res_m61.py system test script. The optimisation precision is now much lower. And the peak intensity errors now have been scaled by 1000 just as the base data was in the previous commit. Modified: branches/relax_disp/test_suite/system_tests/scripts/relax_disp/r1rho_on_res_m61.py Modified: branches/relax_disp/test_suite/system_tests/scripts/relax_disp/r1rho_on_res_m61.py URL: http://svn.gna.org/viewcvs/relax/branches/relax_disp/test_suite/system_tests/scripts/relax_disp/r1rho_on_res_m61.py?rev=19956&r1=19955&r2=19956&view=diff ============================================================================== --- branches/relax_disp/test_suite/system_tests/scripts/relax_disp/r1rho_on_res_m61.py (original) +++ branches/relax_disp/test_suite/system_tests/scripts/relax_disp/r1rho_on_res_m61.py Fri Jun 7 18:04:01 2013 @@ -65,7 +65,7 @@ spin_lock = [1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000, 5500, 6000] for spin_lock_index in range(len(spin_lock)): for time_index in range(len(times)): - data.append(["nu_%s_ncyc%s" % (spin_lock[spin_lock_index], ncyc[time_index]), "nu_%s_ncyc%s.list" % (spin_lock[spin_lock_index], ncyc[time_index]), spin_lock[spin_lock_index], times[time_index], 200.0]) + data.append(["nu_%s_ncyc%s" % (spin_lock[spin_lock_index], ncyc[time_index]), "nu_%s_ncyc%s.list" % (spin_lock[spin_lock_index], ncyc[time_index]), spin_lock[spin_lock_index], times[time_index], 200000.0]) # Load the reference spectrum. if ds.fixed: @@ -97,13 +97,17 @@ spectrometer.frequency(id=data[i][0], frq=800, units='MHz') # Clustering. -relax_disp.cluster(cluster_id='cluster', spin_id='@N,NE1') +#relax_disp.cluster(cluster_id='cluster', spin_id='@N,NE1') # Auto-analysis execution. ########################## +# Run faster. +Relax_disp.opt_func_tol = 1e-10 +Relax_disp.opt_max_iterations = 10000 + # Do not change! Relax_disp(pipe_name=pipe_name, pipe_bundle=pipe_bundle, results_dir=ds.tmpdir, models=MODELS, grid_inc=GRID_INC, mc_sim_num=MC_NUM)