Author: bugman Date: Thu Jul 24 14:06:40 2014 New Revision: 24707 URL: http://svn.gna.org/viewcvs/relax?rev=24707&view=rev Log: Fixes for some relaxation dispersion system tests not converted to the new optimisation user functions. Minimisation is now via the minimise.execute user function, which used to be the minimise user function. Modified: trunk/test_suite/system_tests/relax_disp.py Modified: trunk/test_suite/system_tests/relax_disp.py URL: http://svn.gna.org/viewcvs/relax/trunk/test_suite/system_tests/relax_disp.py?rev=24707&r1=24706&r2=24707&view=diff ============================================================================== --- trunk/test_suite/system_tests/relax_disp.py (original) +++ trunk/test_suite/system_tests/relax_disp.py Thu Jul 24 14:06:40 2014 @@ -736,7 +736,7 @@ self.interpreter.relax_disp.cluster(cluster_id='all', spin_id=":1-100") # Low precision optimisation. - self.interpreter.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) + self.interpreter.minimise.execute(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) # Printout. print("\n\nOptimised parameters:\n") @@ -4806,7 +4806,7 @@ self.interpreter.relax_disp.select_model(model='R2eff') self.interpreter.minimise.grid_search(lower=None, upper=None, inc=GRID_INC, constraints=True, verbosity=1) - self.interpreter.minimise(min_algor='simplex', line_search=None, hessian_mod=None, hessian_type=None, func_tol=OPT_FUNC_TOL, grad_tol=None, max_iter=OPT_MAX_ITERATIONS, constraints=True, scaling=True, verbosity=1) + self.interpreter.minimise.execute(min_algor='simplex', line_search=None, hessian_mod=None, hessian_type=None, func_tol=OPT_FUNC_TOL, grad_tol=None, max_iter=OPT_MAX_ITERATIONS, constraints=True, scaling=True, verbosity=1) self.interpreter.eliminate(function=None, args=None) self.interpreter.monte_carlo.setup(number=MC_NUM) self.interpreter.monte_carlo.create_data(method='back_calc')