Author: tlinnet Date: Wed May 28 19:17:27 2014 New Revision: 23567 URL: http://svn.gna.org/viewcvs/relax?rev=23567&view=rev Log: Converting back to having back_calc as a function argument to model IT99: 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/it99.py branches/disp_speed/target_functions/relax_disp.py branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_it99.py Modified: branches/disp_speed/lib/dispersion/it99.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_speed/lib/dispersion/it99.py?rev=23567&r1=23566&r2=23567&view=diff ============================================================================== --- branches/disp_speed/lib/dispersion/it99.py (original) +++ branches/disp_speed/lib/dispersion/it99.py Wed May 28 19:17:27 2014 @@ -76,7 +76,7 @@ from numpy import array, isfinite, sqrt, sum -def r2eff_IT99(r20=None, pA=None, pB=None, dw=None, tex=None, cpmg_frqs=None, num_points=None): +def r2eff_IT99(r20=None, pA=None, pB=None, dw=None, tex=None, cpmg_frqs=None, back_calc=None, num_points=None): """Calculate the R2eff values for the IT99 model. See the module docstring for details. @@ -94,7 +94,10 @@ @type tex: 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. + @type tcp: numpy rank-1 float array + @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 """ @@ -110,7 +113,8 @@ # Catch zeros (to avoid pointless mathematical operations). # This will result in no exchange, returning flat lines. if numer == 0.0: - return array([r20]*num_points) + back_calc[:] = array([r20]*num_points) + return # The effective rotating frame field. omega_1eff4 = 2304.0 * cpmg_frqs**4 @@ -127,4 +131,4 @@ 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=23567&r1=23566&r2=23567&view=diff ============================================================================== --- branches/disp_speed/target_functions/relax_disp.py (original) +++ branches/disp_speed/target_functions/relax_disp.py Wed May 28 19:17:27 2014 @@ -1015,7 +1015,7 @@ dw_frq = dw[si] * self.frqs[0][si][mi] # Back calculate the R2eff values. - self.back_calc[0][si][mi][0] = r2eff_IT99(r20=R20[r20_index], pA=pA, pB=pB, dw=dw_frq, tex=tex, cpmg_frqs=self.cpmg_frqs[0][mi][0], num_points=self.num_disp_points[0][si][mi][0]) + r2eff_IT99(r20=R20[r20_index], pA=pA, pB=pB, dw=dw_frq, tex=tex, 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_it99.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_it99.py?rev=23567&r1=23566&r2=23567&view=diff ============================================================================== --- branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_it99.py (original) +++ branches/disp_speed/test_suite/unit_tests/_lib/_dispersion/test_it99.py Wed May 28 19:17:27 2014 @@ -44,6 +44,7 @@ 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 @@ -56,15 +57,15 @@ pB, dw_frq, tex = self.param_conversion(pA=self.pA, kex=self.kex, dw=self.dw, sfrq=self.sfrq) # Calculate the R2eff values. - R2eff = r2eff_IT99(r20=self.r20, pA=self.pA, pB=pB, dw=dw_frq, tex=tex, cpmg_frqs=self.cpmg_frqs, num_points=self.num_points) + r2eff_IT99(r20=self.r20, pA=self.pA, pB=pB, dw=dw_frq, tex=tex, cpmg_frqs=self.cpmg_frqs, back_calc=self.R2eff, num_points=self.num_points) # Check all R2eff values. if self.kex > 1.e5: for i in range(self.num_points): - self.assertAlmostEqual(R2eff[i], self.r20, 2) + self.assertAlmostEqual(self.R2eff[i], self.r20, 2) else: for i in range(self.num_points): - self.assertAlmostEqual(R2eff[i], self.r20) + self.assertAlmostEqual(self.R2eff[i], self.r20) def param_conversion(self, pA=None, kex=None, dw=None, sfrq=None):