Author: bugman Date: Thu Jun 6 14:28:58 2013 New Revision: 19890 URL: http://svn.gna.org/viewcvs/relax?rev=19890&view=rev Log: Reverted r19888 as the auto-analysis with just this model catches a bug users might encounter. The command used was: svn merge -r19888:r19887 . The bug caught was fixed in r19889, but this system test now checks that it doesn't return. ..... Fix for the Relax_disp.test_exp_fit system test. Now this checks the fitting of exponential curves without using the auto-analysis - the auto-analysis is an overkill. ..... Modified: branches/relax_disp/test_suite/system_tests/scripts/relax_disp/exp_fit.py Modified: branches/relax_disp/test_suite/system_tests/scripts/relax_disp/exp_fit.py URL: http://svn.gna.org/viewcvs/relax/branches/relax_disp/test_suite/system_tests/scripts/relax_disp/exp_fit.py?rev=19890&r1=19889&r2=19890&view=diff ============================================================================== --- branches/relax_disp/test_suite/system_tests/scripts/relax_disp/exp_fit.py (original) +++ branches/relax_disp/test_suite/system_tests/scripts/relax_disp/exp_fit.py Thu Jun 6 14:28:58 2013 @@ -80,22 +80,13 @@ relax_disp.cluster(cluster_id='test', spin_id=':1') relax_disp.cluster(cluster_id='cluster', spin_id=':1,3@N') -# Error analysis. -spectrum.error_analysis(subset=['nu_1kHz_relaxT_0.01', 'nu_1kHz_relaxT_0.02', 'nu_1kHz_relaxT_0.04', 'nu_1kHz_relaxT_0.06', 'nu_1kHz_relaxT_0.08', 'nu_1kHz_relaxT_0.10', 'nu_1kHz_relaxT_0.12', 'nu_2kHz_relaxT_0.01', 'nu_2kHz_relaxT_0.02', 'nu_2kHz_relaxT_0.04', 'nu_2kHz_relaxT_0.06', 'nu_2kHz_relaxT_0.08', 'nu_2kHz_relaxT_0.10', 'nu_2kHz_relaxT_0.12']) -# Set the model. -relax_disp.select_model(model='R2eff') -# Low precision optimisation. -grid_search(inc=3, constraints=True, verbosity=1) -minimise(min_algor='simplex', line_search=None, hessian_mod=None, hessian_type=None, func_tol=1e-05, grad_tol=None, max_iter=1000, constraints=True, scaling=True, verbosity=1) +# Auto-analysis execution. +########################## -# Monte Carlo simulations. -monte_carlo.setup(number=3) -monte_carlo.create_data(method='back_calc') -monte_carlo.initial_values() -minimise(min_algor='simplex', func_tol=1e-25, grad_tol=None, max_iter=10000000, constraints=True, scaling=True, verbosity=1) -monte_carlo.error_analysis() +# 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) # Save the program state. state.save('devnull', force=True)