Author: tlinnet Date: Wed Jun 18 19:32:18 2014 New Revision: 24134 URL: http://svn.gna.org/viewcvs/relax?rev=24134&view=rev Log: Implemented profiling script for NS CPMG 2site 3D. Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis. Modified: branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_cpmg_2site_3D.py Modified: branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_cpmg_2site_3D.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_cpmg_2site_3D.py?rev=24134&r1=24133&r2=24134&view=diff ============================================================================== --- branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_cpmg_2site_3D.py (original) +++ branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_cpmg_2site_3D.py Wed Jun 18 19:32:18 2014 @@ -400,11 +400,11 @@ """ # Return chi2 value. - chi2 = self.model.func_ns_cpmg_2site_3D_full(params) + chi2 = self.model.func_ns_cpmg_2site_3D(params) return chi2 -def single(num_spins=1, model=MODEL_NS_CPMG_2SITE_3D_FULL, iter=None): +def single(num_spins=1, model=MODEL_NS_CPMG_2SITE_3D, iter=None): """Calculate for a single spin. @keyword num_spins: Number of spins in the cluster. @@ -418,7 +418,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2a=5.0, r2b=10.0, dw=3.0, pA=0.9, kex=1000.0, spins_params=['r2a', 'r2b', 'dw', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'pA', 'kex']) # Loop 100 times for each spin in the clustered analysis (to make the timing numbers equivalent). for spin_index in xrange(100): @@ -428,7 +428,7 @@ print("chi2 single:", chi2) -def cluster(num_spins=100, model=MODEL_NS_CPMG_2SITE_3D_FULL, iter=None): +def cluster(num_spins=100, model=MODEL_NS_CPMG_2SITE_3D, iter=None): """Calculate for a number of clustered spins. @keyword num_spins: Number of spins in the cluster. @@ -442,7 +442,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2a=5.0, r2b=10.0, dw=3.0, pA=0.9, kex=1000.0, spins_params=['r2a', 'r2b', 'dw', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'pA', 'kex']) # Repeat the function call, to simulate minimisation. for i in xrange(iter):