Author: bugman Date: Thu Aug 21 09:57:23 2014 New Revision: 25144 URL: http://svn.gna.org/viewcvs/relax?rev=25144&view=rev Log: The specific_analyses.relax_disp.parameters.r1_setup() function is now being called. This happens before the R1 data is returned in the Disp_minimise_command class. Modified: trunk/specific_analyses/relax_disp/optimisation.py Modified: trunk/specific_analyses/relax_disp/optimisation.py URL: http://svn.gna.org/viewcvs/relax/trunk/specific_analyses/relax_disp/optimisation.py?rev=25144&r1=25143&r2=25144&view=diff ============================================================================== --- trunk/specific_analyses/relax_disp/optimisation.py (original) +++ trunk/specific_analyses/relax_disp/optimisation.py Thu Aug 21 09:57:23 2014 @@ -40,7 +40,7 @@ from pipe_control.mol_res_spin import spin_loop from specific_analyses.relax_disp.checks import check_disp_points, check_exp_type, check_exp_type_fixed_time from specific_analyses.relax_disp.data import average_intensity, count_spins, find_intensity_keys, has_exponential_exp_type, has_proton_mmq_cpmg, is_r1_optimised, loop_exp, loop_exp_frq_offset_point, loop_exp_frq_offset_point_time, loop_frq, loop_offset, loop_time, pack_back_calc_r2eff, return_cpmg_frqs, return_offset_data, return_param_key_from_data, return_r1_data, return_r2eff_arrays, return_spin_lock_nu1 -from specific_analyses.relax_disp.parameters import assemble_param_vector, disassemble_param_vector, linear_constraints, param_conversion, param_num +from specific_analyses.relax_disp.parameters import assemble_param_vector, disassemble_param_vector, linear_constraints, param_conversion, param_num, r1_setup from specific_analyses.relax_disp.variables import EXP_TYPE_LIST_CPMG, MODEL_CR72, MODEL_CR72_FULL, MODEL_LIST_MMQ, MODEL_LM63, MODEL_M61, MODEL_MP05, MODEL_TAP03, MODEL_TP02 from target_functions.relax_disp import Dispersion @@ -560,6 +560,7 @@ self.values, self.errors, self.missing, self.frqs, self.frqs_H, self.exp_types, self.relax_times = return_r2eff_arrays(spins=spins, spin_ids=spin_ids, fields=fields, field_count=len(fields), sim_index=sim_index) # The offset and R1 data. + r1_setup() self.offsets, spin_lock_fields_inter, self.chemical_shifts, self.tilt_angles, self.Delta_omega, self.w_eff = return_offset_data(spins=spins, spin_ids=spin_ids, field_count=len(fields)) self.r1 = return_r1_data(spins=spins, spin_ids=spin_ids, field_count=len(fields), sim_index=sim_index) self.r1_fit = is_r1_optimised(spins[0].model)