Author: tlinnet Date: Tue Jun 17 09:47:09 2014 New Revision: 24014 URL: http://svn.gna.org/viewcvs/relax?rev=24014&view=rev Log: Updated documentation on dimensionality of numpy array num_points. They are in dimension [NE][NS][[NM][NO], where oi gives the number of dispersion points at that offset. Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis. Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py?rev=24014&r1=24013&r2=24014&view=diff ============================================================================== --- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py (original) +++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py Tue Jun 17 09:47:09 2014 @@ -97,7 +97,7 @@ @keyword back_calc: The array for holding the back calculated R2eff values. Each element corresponds to one of the CPMG nu1 frequencies. @type back_calc: numpy float array of rank [NE][NS][[NM][NO][ND] @keyword num_points: The number of points on the dispersion curve, equal to the length of the tcp and back_calc arguments. - @type num_points: numpy int array of rank [NE][NS][[NM][NO][ND] + @type num_points: numpy int array of rank [NE][NS][[NM][NO] @keyword power: The matrix exponential power array. @type power: numpy int array of rank [NE][NS][[NM][NO][ND] """ Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py?rev=24014&r1=24013&r2=24014&view=diff ============================================================================== --- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py (original) +++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py Tue Jun 17 09:47:09 2014 @@ -100,7 +100,7 @@ @keyword back_calc: The array for holding the back calculated R2eff values. Each element corresponds to one of the CPMG nu1 frequencies. @type back_calc: numpy float array of rank [NE][NS][[NM][NO][ND] @keyword num_points: The number of points on the dispersion curve, equal to the length of the tcp and back_calc arguments. - @type num_points: numpy int array of rank [NE][NS][[NM][NO][ND] + @type num_points: numpy int array of rank [NE][NS][[NM][NO] @keyword power: The matrix exponential power array. @type power: numpy int array of rank [NE][NS][[NM][NO][ND] """ Modified: branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py?rev=24014&r1=24013&r2=24014&view=diff ============================================================================== --- branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py (original) +++ branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py Tue Jun 17 09:47:09 2014 @@ -276,7 +276,7 @@ @keyword back_calc: The array for holding the back calculated R2eff values. Each element corresponds to one of the CPMG nu1 frequencies. @type back_calc: numpy float array of rank [NS][[NM][NO][ND] @keyword num_points: The number of points on the dispersion curve, equal to the length of the tcp and back_calc arguments. - @type num_points: numpy int array of rank [NS][[NM][NO][ND] + @type num_points: numpy int array of rank [NS][[NM][NO] @keyword power: The matrix exponential power array. @type power: numpy int array of rank [NS][[NM][NO][ND] """