Author: tlinnet Date: Tue Jun 24 14:46:29 2014 New Revision: 24278 URL: http://svn.gna.org/viewcvs/relax?rev=24278&view=rev Log: Implemented profiling script for ns mmq 3site and 3site linear. 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_mmq_3site.py branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site_linear.py Modified: branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site.py?rev=24278&r1=24277&r2=24278&view=diff ============================================================================== --- branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site.py (original) +++ branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site.py Tue Jun 24 14:46:29 2014 @@ -53,14 +53,14 @@ # relax module imports. from lib.physical_constants import g1H, g15N from target_functions.relax_disp import Dispersion -from specific_analyses.relax_disp.variables import MODEL_MMQ_CR72, EXP_TYPE_CPMG_SQ, EXP_TYPE_CPMG_PROTON_SQ, EXP_TYPE_CPMG_DQ, EXP_TYPE_CPMG_ZQ, EXP_TYPE_CPMG_MQ, EXP_TYPE_CPMG_PROTON_MQ +from specific_analyses.relax_disp.variables import MODEL_NS_MMQ_3SITE, EXP_TYPE_CPMG_SQ, EXP_TYPE_CPMG_PROTON_SQ, EXP_TYPE_CPMG_DQ, EXP_TYPE_CPMG_ZQ, EXP_TYPE_CPMG_MQ, EXP_TYPE_CPMG_PROTON_MQ # Alter setup. def main(): if True: # Nr of iterations. - nr_iter = 100 + nr_iter = 10 # Print statistics. verbose = True @@ -337,9 +337,9 @@ elif param_name == 'dwH': value = dwH + spin_index elif param_name == 'dwH_AB': - value = dw_AB + spin_index + value = dwH_AB + spin_index elif param_name == 'dwH_BC': - value = dw_BC + spin_index + value = dwH_BC + spin_index elif param_name == 'pA': value = pA elif param_name == 'kex': @@ -439,11 +439,11 @@ """ # Return chi2 value. - chi2 = self.model.func_mmq_CR72(params) + chi2 = self.model.func_ns_mmq_3site(params) return chi2 -def single(num_spins=1, model=MODEL_MMQ_CR72, iter=None): +def single(num_spins=1, model=MODEL_NS_MMQ_3SITE, iter=None): """Calculate for a single spin. @keyword num_spins: Number of spins in the cluster. @@ -457,7 +457,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, dwH=0.03, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'dwH', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw_AB=1.0, dw_BC=2.0, dwH_AB=0.01, dwH_BC=0.02, pA=0.8, kex_AB=5000.0, pB=0.1, kex_BC=3000.0, kex_AC=1000.0, spins_params=['r2', 'dw_AB', 'dw_BC', 'dwH_AB', 'dwH_BC', 'pA', 'kex_AB', 'pB', 'kex_BC', 'kex_AC']) # Loop 100 times for each spin in the clustered analysis (to make the timing numbers equivalent). for spin_index in xrange(100): @@ -467,7 +467,7 @@ print("chi2 single:", chi2) -def cluster(num_spins=100, model=MODEL_MMQ_CR72, iter=None): +def cluster(num_spins=100, model=MODEL_NS_MMQ_3SITE, iter=None): """Calculate for a number of clustered spins. @keyword num_spins: Number of spins in the cluster. @@ -481,7 +481,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, dwH=0.03, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'dwH', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw_AB=1.0, dw_BC=2.0, dwH_AB=0.01, dwH_BC=0.02, pA=0.8, kex_AB=5000.0, pB=0.1, kex_BC=3000.0, kex_AC=1000.0, spins_params=['r2', 'dw_AB', 'dw_BC', 'dwH_AB', 'dwH_BC', 'pA', 'kex_AB', 'pB', 'kex_BC', 'kex_AC']) # Repeat the function call, to simulate minimisation. for i in xrange(iter): Modified: branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site_linear.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site_linear.py?rev=24278&r1=24277&r2=24278&view=diff ============================================================================== --- branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site_linear.py (original) +++ branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_ns_mmq_3site_linear.py Tue Jun 24 14:46:29 2014 @@ -53,14 +53,14 @@ # relax module imports. from lib.physical_constants import g1H, g15N from target_functions.relax_disp import Dispersion -from specific_analyses.relax_disp.variables import MODEL_MMQ_CR72, EXP_TYPE_CPMG_SQ, EXP_TYPE_CPMG_PROTON_SQ, EXP_TYPE_CPMG_DQ, EXP_TYPE_CPMG_ZQ, EXP_TYPE_CPMG_MQ, EXP_TYPE_CPMG_PROTON_MQ +from specific_analyses.relax_disp.variables import MODEL_NS_MMQ_3SITE_LINEAR, EXP_TYPE_CPMG_SQ, EXP_TYPE_CPMG_PROTON_SQ, EXP_TYPE_CPMG_DQ, EXP_TYPE_CPMG_ZQ, EXP_TYPE_CPMG_MQ, EXP_TYPE_CPMG_PROTON_MQ # Alter setup. def main(): if True: # Nr of iterations. - nr_iter = 100 + nr_iter = 10 # Print statistics. verbose = True @@ -337,9 +337,9 @@ elif param_name == 'dwH': value = dwH + spin_index elif param_name == 'dwH_AB': - value = dw_AB + spin_index + value = dwH_AB + spin_index elif param_name == 'dwH_BC': - value = dw_BC + spin_index + value = dwH_BC + spin_index elif param_name == 'pA': value = pA elif param_name == 'kex': @@ -439,11 +439,11 @@ """ # Return chi2 value. - chi2 = self.model.func_mmq_CR72(params) + chi2 = self.model.func_ns_mmq_3site_linear(params) return chi2 -def single(num_spins=1, model=MODEL_MMQ_CR72, iter=None): +def single(num_spins=1, model=MODEL_NS_MMQ_3SITE_LINEAR, iter=None): """Calculate for a single spin. @keyword num_spins: Number of spins in the cluster. @@ -457,7 +457,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, dwH=0.03, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'dwH', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw_AB=1.0, dw_BC=2.0, dwH_AB=0.01, dwH_BC=0.02, pA=0.8, kex_AB=5000.0, pB=0.1, kex_BC=3000.0, spins_params=['r2', 'dw_AB', 'dw_BC', 'dwH_AB', 'dwH_BC', 'pA', 'kex_AB', 'pB', 'kex_BC']) # Loop 100 times for each spin in the clustered analysis (to make the timing numbers equivalent). for spin_index in xrange(100): @@ -467,7 +467,7 @@ print("chi2 single:", chi2) -def cluster(num_spins=100, model=MODEL_MMQ_CR72, iter=None): +def cluster(num_spins=100, model=MODEL_NS_MMQ_3SITE_LINEAR, iter=None): """Calculate for a number of clustered spins. @keyword num_spins: Number of spins in the cluster. @@ -481,7 +481,7 @@ """ # Instantiate class - C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=3.0, dwH=0.03, pA=0.9, kex=1000.0, spins_params=['r2', 'dw', 'dwH', 'pA', 'kex']) + C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw_AB=1.0, dw_BC=2.0, dwH_AB=0.01, dwH_BC=0.02, pA=0.8, kex_AB=5000.0, pB=0.1, kex_BC=3000.0, kex_AC=1000.0, spins_params=['r2', 'dw_AB', 'dw_BC', 'dwH_AB', 'dwH_BC', 'pA', 'kex_AB', 'pB', 'kex_BC']) # Repeat the function call, to simulate minimisation. for i in xrange(iter):