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Posted by tlinnet on May 28, 2014 - 19:17:
Author: tlinnet
Date: Wed May 28 19:17:11 2014
New Revision: 23564

URL: http://svn.gna.org/viewcvs/relax?rev=23564&view=rev
Log:
Converting back to having back_calc as a function argument to model CR72:

This is to clean up the API.
There can be bo no partial measures/implementations in the relax trunk.

The problem is, that many numerical models can't be optimised further, since 
they
evolve the spin-magnetisation in a matrix.  That spin evolvement can't be put 
into
a larger numpy array.

This is related to: task #7793: (https://gna.org/task/?7793) Speed-up of 
dispersion models.

Modified:
    branches/disp_speed/lib/dispersion/cr72.py
    branches/disp_speed/target_functions/relax_disp.py
    branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_cr72.py

Modified: branches/disp_speed/lib/dispersion/cr72.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_speed/lib/dispersion/cr72.py?rev=23564&r1=23563&r2=23564&view=diff
==============================================================================
--- branches/disp_speed/lib/dispersion/cr72.py  (original)
+++ branches/disp_speed/lib/dispersion/cr72.py  Wed May 28 19:17:11 2014
@@ -97,7 +97,7 @@
 # Repetitive calculations (to speed up calculations).
 eta_scale = 2.0**(-3.0/2.0)
 
-def r2eff_CR72(r20a=None, r20b=None, pA=None, dw=None, kex=None, 
cpmg_frqs=None, num_points=None):
+def r2eff_CR72(r20a=None, r20b=None, pA=None, dw=None, kex=None, 
cpmg_frqs=None, back_calc=None, num_points=None):
     """Calculate the R2eff values for the CR72 model.
 
     See the module docstring for details.
@@ -115,9 +115,16 @@
     @type kex:              float
     @keyword cpmg_frqs:     The CPMG nu1 frequencies.
     @type cpmg_frqs:        numpy rank-1 float array
-    @keyword num_points:    The number of points on the dispersion curve, 
equal to the length of the cpmg_frqs.
+    @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 rank-1 float array
+    @keyword num_points:    The number of points on the dispersion curve, 
equal to the length of the cpmg_frqs and back_calc arguments.
     @type num_points:       int
     """
+
+    # Catch parameter values that will result in no exchange, returning flat 
R2eff = R20 lines (when kex = 0.0, k_AB = 0.0).
+    if dw == 0.0 or pA == 1.0 or kex == 0.0:
+        back_calc[:] = array([r20a]*num_points)
+        return
 
     # The B population.
     pB = 1.0 - pA
@@ -127,10 +134,6 @@
     r20_kex = (r20a + r20b + kex) / 2.0
     k_BA = pA * kex
     k_AB = pB * kex
-
-    # Catch parameter values that will result in no exchange, returning flat 
R2eff = R20 lines (when kex = 0.0, k_AB = 0.0).
-    if dw == 0.0 or pA == 1.0 or k_AB == 0.0:
-        return array([r20a]*num_points)
 
     # The Psi and zeta values.
     if r20a != r20b:
@@ -156,12 +159,14 @@
     # Catch math domain error of cosh(val > 710).
     # This is when etapos > 710.
     if max(etapos) > 700:
-        return array([r20a]*num_points)
+        back_calc[:] = array([r20a]*num_points)
+        return
 
     # The arccosh argument - catch invalid values.
     fact = Dpos * cosh(etapos) - Dneg * cos(etaneg)
     if min(fact) < 1.0:
-        return array([r20_kex]*num_points)
+        back_calc[:] = array([r20_kex]*num_points)
+        return
 
     # Calculate R2eff.
     R2eff = r20_kex - cpmg_frqs * arccosh( fact )
@@ -171,4 +176,4 @@
     if not isfinite(sum(R2eff)):
         R2eff = array([1e100]*num_points)
 
-    return R2eff
+    back_calc[:] = R2eff

Modified: branches/disp_speed/target_functions/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_speed/target_functions/relax_disp.py?rev=23564&r1=23563&r2=23564&view=diff
==============================================================================
--- branches/disp_speed/target_functions/relax_disp.py  (original)
+++ branches/disp_speed/target_functions/relax_disp.py  Wed May 28 19:17:11 
2014
@@ -484,7 +484,7 @@
                 dw_frq = dw[si] * self.frqs[0][si][mi]
 
                 # Back calculate the R2eff values.
-                self.back_calc[0][si][mi][0] = 
r2eff_CR72(r20a=R20A[r20_index], r20b=R20B[r20_index], pA=pA, dw=dw_frq, 
kex=kex, cpmg_frqs=self.cpmg_frqs[0][mi][0], 
num_points=self.num_disp_points[0][si][mi][0])
+                r2eff_CR72(r20a=R20A[r20_index], r20b=R20B[r20_index], 
pA=pA, dw=dw_frq, kex=kex, cpmg_frqs=self.cpmg_frqs[0][mi][0], back_calc = 
self.back_calc[0][si][mi][0], num_points=self.num_disp_points[0][si][mi][0])
 
                 # For all missing data points, set the back-calculated value 
to the measured values so that it has no effect on the chi-squared value.
                 for di in range(self.num_disp_points[0][si][mi][0]):

Modified: 
branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_cr72.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_cr72.py?rev=23564&r1=23563&r2=23564&view=diff
==============================================================================
--- branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_cr72.py   
  (original)
+++ branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_cr72.py   
  Wed May 28 19:17:11 2014
@@ -45,6 +45,7 @@
         self.ncyc = array([2, 4, 8, 10, 20, 40, 500])
         relax_times = 0.04
         self.cpmg_frqs = self.ncyc / relax_times
+        self.R2eff = zeros(self.num_points, float64)
 
         # The spin Larmor frequencies.
         self.sfrq = 200. * 1E6
@@ -57,11 +58,11 @@
         k_AB, k_BA, pB, dw_frq = self.param_conversion(pA=self.pA, 
kex=self.kex, dw=self.dw, sfrq=self.sfrq)
 
         # Calculate the R2eff values.
-        R2eff = r2eff_CR72(r20a=self.r20a, r20b=self.r20b, pA=self.pA, 
dw=dw_frq, kex=self.kex, cpmg_frqs=self.cpmg_frqs, num_points=self.num_points)
+        r2eff_CR72(r20a=self.r20a, r20b=self.r20b, pA=self.pA, dw=dw_frq, 
kex=self.kex, cpmg_frqs=self.cpmg_frqs, back_calc=self.R2eff, 
num_points=self.num_points)
 
         # Check all R2eff values.
         for i in range(self.num_points):
-            self.assertAlmostEqual(R2eff[i], self.r20a)
+            self.assertAlmostEqual(self.R2eff[i], self.r20a)
 
 
     def param_conversion(self, pA=None, kex=None, dw=None, sfrq=None):




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