mailRe: r24865 - /branches/r1rho_plotting/test_suite/system_tests/relax_disp.py


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Posted by Edward d'Auvergne on July 31, 2014 - 14:56:
The offset is handled exactly in the same way as for the R1rho data -
the theory is identical
(http://thread.gmane.org/gmane.science.nmr.relax.scm/22521/focus=6564).
However we don't have a model for this yet
(http://thread.gmane.org/gmane.science.nmr.relax.scm/22521/focus=6563).
And the user function for the pi pulse parameters is missing.
Therefore there is not much point setting up such a test yet.

Cheers,

Edward


On 31 July 2014 12:12, Troels Emtekær Linnet <tlinnet@xxxxxxxxxxxxx> wrote:
Hi Edward.

I added the systemtest, but I am about to delete it again.

I am not sure how to handle "offset" data for CPMG experiments.

I am thinking that I will rather test in
specific_analyses/relax_disp/data.py plot_disp_curves()

to see if it is a CPMG model, raise a warning, and pass out of the
function without doing anything.

What do you think?

Best
Troels

2014-07-31 9:43 GMT+02:00 Edward d'Auvergne <edward@xxxxxxxxxxxxx>:
Hi Troels,

Is the text file checking temporarily commented out in this test?

Cheers,

Edward


On 30 July 2014 23:43,  <tlinnet@xxxxxxxxxxxxx> wrote:
Author: tlinnet
Date: Wed Jul 30 23:43:22 2014
New Revision: 24865

URL: http://svn.gna.org/viewcvs/relax?rev=24865&view=rev
Log:
Added systemtest Relax_disp.test_kteilum_fmpoulsen_makke_check_graphs() 
to check all possible combinations of dispersion plotting.

sr #3124(https://gna.org/support/?3124): Grace graphs production for 
R1rho analysis with R2_eff as function of Omega_eff.
sr #3138(https://gna.org/support/?3138): Interpolating theta through 
spin-lock offset [Omega], rather than spin-lock field strength [w1].

Modified:
    branches/r1rho_plotting/test_suite/system_tests/relax_disp.py

Modified: branches/r1rho_plotting/test_suite/system_tests/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/r1rho_plotting/test_suite/system_tests/relax_disp.py?rev=24865&r1=24864&r2=24865&view=diff
==============================================================================
--- branches/r1rho_plotting/test_suite/system_tests/relax_disp.py       
(original)
+++ branches/r1rho_plotting/test_suite/system_tests/relax_disp.py       
Wed Jul 30 23:43:22 2014
@@ -4108,6 +4108,114 @@
         self.assertAlmostEqual(spin.chi2/1000, 162.511988511609/1000, 3)


+    def test_kteilum_fmpoulsen_makke_check_graphs(self):
+        """Check of all possible dispersion graphs from optimisation of 
Kaare Teilum, Flemming M Poulsen, Mikael Akke 2006 "acyl-CoA binding 
protein" CPMG data to the CR72 dispersion model.
+
+        This uses the data from paper at 
U{http://dx.doi.org/10.1073/pnas.0509100103}.  This is CPMG data with a 
fixed relaxation time period.  Experiment in 0.48 M GuHCl (guanidine 
hydrochloride).
+
+        Figure 3 shows the ln( k_a [s^-1]) for different concentrations 
of GuHCl. The precise values are:
+
+          - [GuHCL][M] ln(k_a[s^-1]) k_a[s^-1]
+          - 0.483 0.89623903 2.4503699912708878
+          - 0.545 1.1694838
+          - 0.545 1.1761503
+          - 0.622 1.294
+          - 0.669 1.5176493
+          - 0.722 1.6238791
+          - 0.813 1.9395758
+          - 1.011 2.3558415 10.547000429321157
+        """
+
+        # Base data setup.
+        model = 'TSMFK01'
+        expfolder = "acbp_cpmg_disp_048MGuHCl_40C_041223"
+        self.setup_kteilum_fmpoulsen_makke_cpmg_data(model=model, 
expfolder=expfolder)
+
+        # Alias the spins.
+        res61L = cdp.mol[0].res[0].spin[0]
+
+        # The R20 keys.
+        r20_key1 = generate_r20_key(exp_type=EXP_TYPE_CPMG_SQ, 
frq=599.89086220e6)
+
+        # Set the initial parameter values.
+        res61L.r2a = {r20_key1: 8.0}
+        res61L.dw = 6.5
+        res61L.k_AB = 2.5
+
+        # Low precision optimisation.
+        self.interpreter.minimise(min_algor='simplex', line_search=None, 
hessian_mod=None, hessian_type=None, func_tol=1e-05, grad_tol=None, 
max_iter=1000, constraints=True, scaling=True, verbosity=1)
+
+        # Start testing all possible combinations of graphs.
+        y_axis_types = [Y_AXIS_R2_EFF, Y_AXIS_R2_R1RHO]
+        x_axis_types = [X_AXIS_DISP, X_AXIS_THETA, X_AXIS_W_EFF]
+        interpolate_types = [INTERPOLATE_DISP, INTERPOLATE_OFFSET]
+
+        # Write to temp folder.
+        result_dir_name = ds.tmpdir
+        result_folders = [model]
+        spin_id = ":61@N"
+
+        # Loop through all possible combinations of y_axis, x_axis and 
interpolation.
+        data_path = status.install_path + 
sep+'test_suite'+sep+'shared_data'+sep+'dispersion'+sep+'KTeilum_FMPoulsen_MAkke_2006'+sep+expfolder+sep+'check_graphs'
+
+        for result_folder in result_folders:
+            # Initial counter per graph, per model.
+            i = 1
+            for y_axis in y_axis_types:
+                for x_axis in x_axis_types:
+                    for interpolate in interpolate_types:
+                        # Determine file name:
+                        file_name_ini = 
return_grace_file_name_ini(y_axis=y_axis, x_axis=x_axis, 
interpolate=interpolate)
+
+                        # Make the file name.
+                        file_name = "%s%s.agr" % (file_name_ini, 
spin_id.replace('#', '_').replace(':', '_').replace('@', '_'))
+
+                        # Set result folder.
+                        dir_folder = "%i"%(i)
+
+                        # Write the curves.
+                        dir = 
result_dir_name+sep+result_folder+sep+dir_folder
+                        print("Plotting combination of %s, %s, 
%s"%(y_axis, x_axis, interpolate))
+                        
self.interpreter.relax_disp.plot_disp_curves(dir=dir, y_axis=y_axis, 
x_axis=x_axis, interpolate=interpolate, force=True)
+
+                        # Get the file path.
+                        file_path = get_file_path(file_name, dir)
+
+                        # Test the plot file exists.
+                        print("Testing file access to graph: 
%s"%file_path)
+                        self.assert_(access(file_path, F_OK))
+
+                        # Now open, and compare content, line by line.
+                        file_prod = open(file_path)
+                        lines_prod = file_prod.readlines()
+                        file_prod.close()
+
+                        # Define file to compare against.
+                        #dir_comp = 
data_path+sep+result_folder+sep+dir_folder
+                        #file_path_comp = get_file_path(file_name, 
dir_comp)
+                        #file_comp = open(file_path_comp)
+                        #lines_comp = file_comp.readlines()
+                        #file_comp.close()
+
+                        ## Assert number of lines is equal.
+                        #self.assertEqual(len(lines_prod), 
len(lines_comp))
+                        #for j in range(len(lines_prod)):
+                        #    # Make the string test
+                        #    first_char = lines_prod[j][0]
+                        #    if first_char in ["@", "&"]:
+                        #        self.assertEqual(lines_prod[j], 
lines_comp[j])
+                        #    else:
+                        #        # Split string in x, y, error.
+                        #        # The error would change per run.
+                        #        x_prod, y_prod, y_prod_err = 
lines_prod[j].split()
+                        #        x_comp, y_comp, y_comp_err = 
lines_comp[j].split()
+                        #        self.assertAlmostEqual(float(x_prod), 
float(x_comp))
+                        #        self.assertAlmostEqual(float(y_prod), 
float(y_comp))
+
+                        # Add to counter.
+                        i += 1
+
+
     def test_kteilum_fmpoulsen_makke_cpmg_data_048m_guhcl_to_cr72(self):
         """Optimisation of Kaare Teilum, Flemming M Poulsen, Mikael Akke 
2006 "acyl-CoA binding protein" CPMG data to the CR72 dispersion model.



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