Hi Troels,

Just for reference, this is how I would change your commit message for
the release documentation, as this can make my life easier if you do
this for me ;)  I didn't do this for all your commits in the last
message for relax 3.2.0
(https://gna.org/forum/forum.php?forum_id=2461) because there were far
too many to handle :)  Anyway, the main changes are to convert each
line into a proper sentence structure for reading:


> Implemented systemtest Relax_disp.test_cpmg_synthetic_ns3d_to_b14.

Implemented the Relax_disp.test_cpmg_synthetic_ns3d_to_b14 system test.


> bug #22021: (https://gna.org/bugs/?22021) Model B14 shows bad fitting to data.

Bug #22021 (https://gna.org/bugs/?22021), model B14 shows bad fitting to data.


> This is to catch model B14 showing bad fitting behaviour.

No change required :)

Cheers,

Edward




On 21 May 2014 20:36,  <[email protected]> wrote:
> Author: tlinnet
> Date: Wed May 21 20:36:33 2014
> New Revision: 23315
>
> URL: http://svn.gna.org/viewcvs/relax?rev=23315&view=rev
> Log:
> Implemented systemtest Relax_disp.test_cpmg_synthetic_ns3d_to_b14.
>
> bug #22021: (https://gna.org/bugs/?22021) Model B14 shows bad fitting to data.
>
> This is to catch model B14 showing bad fitting behaviour.
>
> Modified:
>     trunk/test_suite/system_tests/relax_disp.py
>
> Modified: trunk/test_suite/system_tests/relax_disp.py
> URL: 
> http://svn.gna.org/viewcvs/relax/trunk/test_suite/system_tests/relax_disp.py?rev=23315&r1=23314&r2=23315&view=diff
> ==============================================================================
> --- trunk/test_suite/system_tests/relax_disp.py (original)
> +++ trunk/test_suite/system_tests/relax_disp.py Wed May 21 20:36:33 2014
> @@ -1091,6 +1091,145 @@
>                          self.assertAlmostEqual(set_val/1000, min_val/1000, 1)
>                      elif mo_param == 'pA':
>                          self.assertAlmostEqual(set_val, min_val, 3)
> +
> +
> +    def test_cpmg_synthetic_ns3d_to_b14(self):
> +        """Test synthetic cpmg data.
> +
> +        This script will produce synthetic CPMG R2eff values according to 
> the NS CPMG 2-site 3D model, and the fit the data with B14.
> +        Try to catch bug #22021 U{https://gna.org/bugs/index.php?22021}: 
> Model B14 shows bad fitting to data.
> +        """
> +
> +        # Reset.
> +        #self.interpreter.reset()
> +
> +        ## Set Experiments.
> +        model_create = 'NS CPMG 2-site 3D'
> +        #model_create = 'NS CPMG 2-site expanded'
> +        model_analyse = 'B14'
> +        # Exp 1
> +        sfrq_1 = 599.8908617*1E6
> +        r20_key_1 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ, frq=sfrq_1)
> +        time_T2_1 = 0.06
> +        ncycs_1 = [2, 4, 8, 10, 20, 30, 40, 60]
> +        r2eff_err_1 = [0, 0, 0, 0, 0, 0, 0, 0]
> +        exp_1 = [sfrq_1, time_T2_1, ncycs_1, r2eff_err_1]
> +
> +        sfrq_2 = 499.8908617*1E6
> +        r20_key_2 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ, frq=sfrq_2)
> +        time_T2_2 = 0.05
> +        ncycs_2 = [2, 4, 8, 10, 30, 35, 40, 50]
> +        r2eff_err_2 = [0, 0, 0, 0, 0, 0, 0, 0]
> +        exp_2 = [sfrq_2, time_T2_2, ncycs_2, r2eff_err_2]
> +
> +        # Collect all exps
> +        exps = [exp_1, exp_2]
> +
> +        spins = [
> +            ['Ala', 1, 'N', {'r2': {r20_key_1:10., r20_key_2:10.}, 'r2a': 
> {r20_key_1:10., r20_key_2:10.}, 'r2b': {r20_key_1:10., r20_key_2:10.}, 'kex': 
> 1000., 'pA': 0.99, 'dw': 2.} ]
> +            ]
> +
> +        # Collect the data to be used.
> +        ds.data = [model_create, model_analyse, spins, exps]
> +
> +        # The tmp directory. None is the local directory.
> +        ds.tmpdir = ds.tmpdir
> +
> +        # The results directory. None is the local directory.
> +        #ds.resdir = None
> +        ds.resdir = ds.tmpdir
> +
> +        # Do set_grid_r20_from_min_r2eff ?.
> +        ds.set_grid_r20_from_min_r2eff = True
> +
> +        # Remove insignificant level.
> +        ds.insignificance = 0.0
> +
> +        # The grid search size (the number of increments per dimension).
> +        ds.GRID_INC = 8
> +
> +        # The do clustering.
> +        ds.do_cluster = False
> +
> +        # The function tolerance.  This is used to terminate minimisation 
> once the function value between iterations is less than the tolerance.
> +        # The default value is 1e-25.
> +        ds.set_func_tol = 1e-9
> +
> +        # The maximum number of iterations.
> +        # The default value is 1e7.
> +        ds.set_max_iter = 1000
> +
> +        # The verbosity level.
> +        ds.verbosity = 1
> +
> +        # The rel_change WARNING level.
> +        ds.rel_change = 0.05
> +
> +        # The plot_curves.
> +        ds.plot_curves = False
> +
> +        # The conversion for ShereKhan at http://sherekhan.bionmr.org/.
> +        ds.sherekhan_input = False
> +
> +        # Make a dx map to be opened om OpenDX. To map the hypersurface of 
> chi2, when altering kex, dw and pA.
> +        ds.opendx = False
> +
> +        # The set r2eff err.
> +        ds.r2eff_err = 0.1
> +
> +        # The print result info.
> +        ds.print_res = False
> +
> +        # Execute the script.
> +        self.interpreter.run(script_file=status.install_path + 
> sep+'test_suite'+sep+'system_tests'+sep+'scripts'+sep+'relax_disp'+sep+'cpmg_synthetic.py')
> +
> +        cur_spins = ds.data[2]
> +        # Compare results.
> +        for i in range(len(cur_spins)):
> +            res_name, res_num, spin_name, params = cur_spins[i]
> +            cur_spin_id = ":%i@%s"%(res_num, spin_name)
> +            cur_spin = return_spin(cur_spin_id)
> +
> +            grid_params = ds.grid_results[i][3]
> +            min_params = ds.min_results[i][3]
> +            # Now read the parameters.
> +            print("For spin: '%s'"%cur_spin_id)
> +            for mo_param in cur_spin.params:
> +                # The R2 is a dictionary, depending on spectrometer 
> frequency.
> +                if isinstance(getattr(cur_spin, mo_param), dict):
> +                    grid_r2 = grid_params[mo_param]
> +                    min_r2 = min_params[mo_param]
> +                    set_r2 = params[mo_param]
> +                    for key, val in set_r2.items():
> +                        grid_r2_frq = grid_r2[key]
> +                        min_r2_frq = min_r2[key]
> +                        set_r2_frq = set_r2[key]
> +                        frq = float(key.split(EXP_TYPE_CPMG_SQ+' - 
> ')[-1].split('MHz')[0])
> +                        rel_change = math.sqrt( (min_r2_frq - 
> set_r2_frq)**2/(min_r2_frq)**2 )
> +                        print("%s %s %s %s %.1f GRID=%.3f MIN=%.3f SET=%.3f 
> RELC=%.3f"%(cur_spin.model, res_name, cur_spin_id, mo_param, frq, 
> grid_r2_frq, min_r2_frq, set_r2_frq, rel_change) )
> +                        if rel_change > ds.rel_change:
> +                            print("WARNING: rel change level is above %.2f, 
> and is %.4f."%(ds.rel_change, rel_change))
> +                            print("###################################")
> +
> +                        ## Make test on R2.
> +                        self.assertAlmostEqual(set_r2_frq, min_r2_frq, 2)
> +                else:
> +                    grid_val = grid_params[mo_param]
> +                    min_val = min_params[mo_param]
> +                    set_val = params[mo_param]
> +                    rel_change = math.sqrt( (min_val - 
> set_val)**2/(min_val)**2 )
> +                    print("%s %s %s %s GRID=%.3f MIN=%.3f SET=%.3f 
> RELC=%.3f"%(cur_spin.model, res_name, cur_spin_id, mo_param, grid_val, 
> min_val, set_val, rel_change) )
> +                    if rel_change > ds.rel_change:
> +                        print("WARNING: rel change level is above %.2f, and 
> is %.4f."%(ds.rel_change, rel_change))
> +                        print("###################################")
> +
> +                    ## Make test on parameters.
> +                    if mo_param == 'dw':
> +                        self.assertAlmostEqual(set_val/10, min_val/10, 6)
> +                    elif mo_param == 'kex':
> +                        self.assertAlmostEqual(set_val/1000, min_val/1000, 5)
> +                    elif mo_param == 'pA':
> +                        self.assertAlmostEqual(set_val, min_val, 7)
>
>
>      def test_cpmg_synthetic_ns3d_to_cr72_noise_cluster(self):
>
>
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