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Package test_suite :: Package unit_tests :: Package _data_store :: Module test_align_tensor
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Source Code for Module test_suite.unit_tests._data_store.test_align_tensor

  1  ############################################################################### 
  2  #                                                                             # 
  3  # Copyright (C) 2007-2008,2010,2012,2014 Edward d'Auvergne                    # 
  4  #                                                                             # 
  5  # This file is part of the program relax (http://www.nmr-relax.com).          # 
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 19  #                                                                             # 
 20  ############################################################################### 
 21   
 22  # Python module imports. 
 23  from numpy import array 
 24  from unittest import TestCase 
 25   
 26  # relax module imports. 
 27  from data_store.align_tensor import AlignTensorData 
 28  from pipe_control.align_tensor import kappa 
 29  from lib.errors import RelaxError 
 30   
 31   

 32 -class Test_align_tensor(TestCase): 

 33      """Unit tests for the data.align_tensor relax module.""" 
 34   

 35 -    def calc_objects(self, Axx, Ayy, Axy, Axz, Ayz): 

 36          """Function for calculating the alignment tensor objects.""" 
 37   
 38          # The parameter values. 
 39          Azz = - Axx - Ayy 
 40          Axxyy = Axx - Ayy 
 41   
 42          # Matrices. 
 43          tensor = array([[ Axx, Axy, Axz], 
 44                          [ Axy, Ayy, Ayz], 
 45                          [ Axz, Ayz, Azz]]) 
 46   
 47          # Return the objects. 
 48          return Azz, Axxyy, tensor 

 49   
 50   

 51 -    def setUp(self): 

 52          """Set 'self.align_data' to an empty instance of the AlignTensorData class.""" 
 53   
 54          self.align_data = AlignTensorData('test') 

 55   
 56   

 57 -    def test_append_sim(self): 

 58          """Test the appending of Monte Carlo simulation alignment tensor parameters. 
 59   
 60          The following parameters will be appended to empty lists: 
 61              - Axx: -16.6278 Hz 
 62              - Ayy: 6.13037 Hz 
 63              - Axy: 7.65639 Hz 
 64              - Axz: -1.89157 Hz 
 65              - Ayz: 19.2561 Hz 
 66          """ 
 67   
 68          # The MC sim parameter values. 
 69          Axx = -16.6278 / kappa() * 1.02e-10**3 
 70          Ayy = 6.13037 / kappa() * 1.02e-10**3 
 71          Axy = 7.65639 / kappa() * 1.02e-10**3 
 72          Axz = -1.89157 / kappa() * 1.02e-10**3 
 73          Ayz = 19.2561 / kappa() * 1.02e-10**3 
 74   
 75          # Set the number of MC sims. 
 76          self.align_data.set_sim_num(1) 
 77   
 78          # Set the values. 
 79          self.align_data.set(param='Axx', value=Axx, category='sim', sim_index=0) 
 80          self.align_data.set(param='Ayy', value=Ayy, category='sim', sim_index=0) 
 81          self.align_data.set(param='Axy', value=Axy, category='sim', sim_index=0) 
 82          self.align_data.set(param='Axz', value=Axz, category='sim', sim_index=0) 
 83          self.align_data.set(param='Ayz', value=Ayz, category='sim', sim_index=0) 
 84   
 85          # Test the set values. 
 86          self.assertEqual(self.align_data.Axx_sim[0], Axx) 
 87          self.assertEqual(self.align_data.Ayy_sim[0], Ayy) 
 88          self.assertEqual(self.align_data.Axy_sim[0], Axy) 
 89          self.assertEqual(self.align_data.Axz_sim[0], Axz) 
 90          self.assertEqual(self.align_data.Ayz_sim[0], Ayz) 
 91   
 92          # Calculate the diffusion tensor objects. 
 93          Azz, Axxyy, tensor = self.calc_objects(Axx, Ayy, Axy, Axz, Ayz) 
 94   
 95          # Test the automatically created values. 
 96          self.assertEqual(self.align_data.Azz_sim[0], Azz) 
 97          self.assertEqual(self.align_data.Axxyy_sim[0], Axxyy) 
 98   
 99          # Test the matrices. 
100          self.assertEqual(self.align_data.A_sim[0].tostring(), tensor.tostring()) 

101   
102   

103 -    def test_irreducible_params(self): 

104          """Test the irreducible parameters {A-2, A-1, A0, A1, A2}. 
105   
106          This is to test if the Pales results can be matched.  The example is:: 
107   
108              DATA SAUPE_MATRIX     S(zz)       S(xx-yy)      S(xy)      S(xz)      S(yz) 
109              DATA SAUPE        -1.2856e-04 -5.6870e-04 -3.1704e-04  3.5099e-04 -1.7937e-04 
110              DATA IRREDUCIBLE_REP    A0          A1R          A1I         A2R         A2I   
111              DATA IRREDUCIBLE    -2.0380e-04 -4.5433e-04 -2.3218e-04 -3.6807e-04  4.1038e-04 
112              DATA IRREDUCIBLE GENERAL_MAGNITUDE   1.0816e-03 
113          """ 
114   
115          # From Pales (S(zz)       S(xx-yy)      S(xy)      S(xz)      S(yz)) 
116          Azz = 2.0 / 3.0 * -1.2856e-04 
117          Axxyy = 2.0 / 3.0 * -5.6870e-04 
118          Axy = 2.0 / 3.0 * -3.1704e-04 
119          Axz = 2.0 / 3.0 * 3.5099e-04 
120          Ayz = 2.0 / 3.0 * -1.7937e-04 
121   
122          # Parameter conversion. 
123          Axx = (Axxyy - Azz) / 2.0 
124          Ayy = (-Axxyy - Azz) / 2.0 
125   
126          # Set the values. 
127          self.align_data.set(param='Axx', value=Axx) 
128          self.align_data.set(param='Ayy', value=Ayy) 
129          self.align_data.set(param='Axy', value=Axy) 
130          self.align_data.set(param='Axz', value=Axz) 
131          self.align_data.set(param='Ayz', value=Ayz) 
132   
133          # Pales equivalent printout. 
134          print("Pales output:\n") 
135          print("DATA SAUPE_MATRIX     S(zz)       S(xx-yy)      S(xy)      S(xz)      S(yz)") 
136          print("DATA SAUPE        -1.2856e-04 -5.6870e-04 -3.1704e-04  3.5099e-04 -1.7937e-04") 
137          print("") 
138          print("DATA IRREDUCIBLE_REP    A0          A1R          A1I         A2R         A2I  ") 
139          print("DATA IRREDUCIBLE    -2.0380e-04 -4.5433e-04 -2.3218e-04 -3.6807e-04  4.1038e-04") 
140          print("DATA IRREDUCIBLE GENERAL_MAGNITUDE   1.0816e-03") 
141          print("") 
142          print("Calculated values:\n") 
143          print("A0:    %15.4e" % self.align_data.A0) 
144          print("A1:    %15.4e %11.4ei" % (self.align_data.A1.real, self.align_data.A1.imag)) 
145          print("Am1:   %15.4e %11.4ei" % (self.align_data.Am1.real, self.align_data.Am1.imag)) 
146          print("A2:    %15.4e %11.4ei" % (self.align_data.A2.real, self.align_data.A2.imag)) 
147          print("Am2:   %15.4e %11.4ei" % (self.align_data.Am2.real, self.align_data.Am2.imag)) 
148   
149          # Check that the values match Pales (guessing that Pales is using the negative indices). 
150          self.assertAlmostEqual(self.align_data.A0, -2.0380e-04) 
151          self.assertAlmostEqual(self.align_data.A1.real, 4.5433e-04) 
152          self.assertAlmostEqual(self.align_data.A1.imag, -2.3218e-04) 
153          self.assertAlmostEqual(self.align_data.Am1.real, -4.5433e-04) 
154          self.assertAlmostEqual(self.align_data.Am1.imag, -2.3218e-04) 
155          self.assertAlmostEqual(self.align_data.A2.real, -3.6807e-04) 
156          self.assertAlmostEqual(self.align_data.A2.imag, -4.1038e-04) 
157          self.assertAlmostEqual(self.align_data.Am2.real, -3.6807e-04) 
158          self.assertAlmostEqual(self.align_data.Am2.imag, 4.1038e-04) 

159   
160   

161 -    def test_set_Szz(self): 

162          """Test that the Szz parameter cannot be set.""" 
163   
164          # Assert that a RelaxError occurs when Szz is set. 
165          self.assertRaises(RelaxError, setattr, self.align_data, 'Szz', -23.0) 
166   
167          # Make sure that the Szz parameter has not been set. 
168          self.assert_(not hasattr(self.align_data, 'Szz')) 

169   
170   

171 -    def test_set_errors(self): 

172          """Test the setting of spheroidal diffusion tensor parameter errors. 
173   
174          The following parameter errors will be set: 
175              - Axx: 0.3 Hz 
176              - Ayy: 0.5 Hz 
177              - Axy: 0.4 Hz 
178              - Axz: 0.1 Hz 
179              - Ayz: 0.2 Hz 
180          """ 
181   
182          # The parameter errors. 
183          Axx = 0.3 / kappa() * 1.02e-10**3 
184          Ayy = 0.5 / kappa() * 1.02e-10**3 
185          Axy = 0.4 / kappa() * 1.02e-10**3 
186          Axz = 0.1 / kappa() * 1.02e-10**3 
187          Ayz = 0.2 / kappa() * 1.02e-10**3 
188   
189          # Set the diffusion parameters. 
190          self.align_data.set(param='Axx', value=Axx, category='err') 
191          self.align_data.set(param='Ayy', value=Ayy, category='err') 
192          self.align_data.set(param='Axy', value=Axy, category='err') 
193          self.align_data.set(param='Axz', value=Axz, category='err') 
194          self.align_data.set(param='Ayz', value=Ayz, category='err') 
195   
196          # Test the set values. 
197          self.assertEqual(self.align_data.Axx_err, Axx) 
198          self.assertEqual(self.align_data.Ayy_err, Ayy) 
199          self.assertEqual(self.align_data.Axy_err, Axy) 
200          self.assertEqual(self.align_data.Axz_err, Axz) 
201          self.assertEqual(self.align_data.Ayz_err, Ayz) 
202   
203          # Calculate the diffusion tensor objects. 
204          Azz, Axxyy, tensor = self.calc_objects(Axx, Ayy, Axy, Axz, Ayz) 
205   
206          # Test the automatically created values. 
207          self.assertEqual(self.align_data.Azz_err, Azz) 
208          self.assertEqual(self.align_data.Axxyy_err, Axxyy) 
209   
210          # Test the matrices. 
211          self.assertEqual(self.align_data.A_err.tostring(), tensor.tostring()) 

212   
213   

214 -    def test_set_params(self): 

215          """Test the setting of alignment tensor parameters. 
216   
217          The following parameters will be set: 
218              - Axx: -16.6278 Hz 
219              - Ayy: 6.13037 Hz 
220              - Axy: 7.65639 Hz 
221              - Axz: -1.89157 Hz 
222              - Ayz: 19.2561 Hz 
223          """ 
224   
225          # The parameter values. 
226          Axx = -16.6278 / kappa() * 1.02e-10**3 
227          Ayy = 6.13037 / kappa() * 1.02e-10**3 
228          Axy = 7.65639 / kappa() * 1.02e-10**3 
229          Axz = -1.89157 / kappa() * 1.02e-10**3 
230          Ayz = 19.2561 / kappa() * 1.02e-10**3 
231   
232          # Set the diffusion parameters. 
233          self.align_data.set(param='Axx', value=Axx) 
234          self.align_data.set(param='Ayy', value=Ayy) 
235          self.align_data.set(param='Axy', value=Axy) 
236          self.align_data.set(param='Axz', value=Axz) 
237          self.align_data.set(param='Ayz', value=Ayz) 
238   
239          # Test the set values. 
240          self.assertEqual(self.align_data.Axx, Axx) 
241          self.assertEqual(self.align_data.Ayy, Ayy) 
242          self.assertEqual(self.align_data.Axy, Axy) 
243          self.assertEqual(self.align_data.Axz, Axz) 
244          self.assertEqual(self.align_data.Ayz, Ayz) 
245   
246          # Calculate the diffusion tensor objects. 
247          Azz, Axxyy, tensor = self.calc_objects(Axx, Ayy, Axy, Axz, Ayz) 
248   
249          # Test the automatically created values. 
250          self.assertEqual(self.align_data.Azz, Azz) 
251          self.assertEqual(self.align_data.Axxyy, Axxyy) 
252   
253          # Test the matrices. 
254          self.assertEqual(self.align_data.A.tostring(), tensor.tostring()) 

255   
256   

257 -    def test_set_sim(self): 

258          """Test the setting of Monte Carlo simulation alignment tensor parameters. 
259   
260          Firstly the following parameters will be appended to empty lists: 
261              - Axx: -16.6278 Hz 
262              - Ayy: 6.13037 Hz 
263              - Axy: 7.65639 Hz 
264              - Axz: -1.89157 Hz 
265              - Ayz: 19.2561 Hz 
266   
267          These MC sim values will then be explicity overwritten by setting the first elements of the 
268          lists to: 
269              - Axx: 0.3 Hz 
270              - Ayy: 0.5 Hz 
271              - Axy: 0.4 Hz 
272              - Axz: 0.1 Hz 
273              - Ayz: 0.2 Hz 
274          """ 
275   
276          # Set the number of MC sims. 
277          self.align_data.set_sim_num(1) 
278   
279          # Append the initial values. 
280          self.align_data.set(param='Axx', value=-16.6278 / kappa() * 1.02e-10**3, category='sim', sim_index=0) 
281          self.align_data.set(param='Ayy', value=6.13037 / kappa() * 1.02e-10**3, category='sim', sim_index=0) 
282          self.align_data.set(param='Axy', value=7.65639 / kappa() * 1.02e-10**3, category='sim', sim_index=0) 
283          self.align_data.set(param='Axz', value=-1.89157 / kappa() * 1.02e-10**3, category='sim', sim_index=0) 
284          self.align_data.set(param='Ayz', value=19.2561 / kappa() * 1.02e-10**3, category='sim', sim_index=0) 
285   
286          # The new MC sim parameter values. 
287          Axx = 0.3 / kappa() * 1.02e-10**3 
288          Ayy = 0.5 / kappa() * 1.02e-10**3 
289          Axy = 0.4 / kappa() * 1.02e-10**3 
290          Axz = 0.1 / kappa() * 1.02e-10**3 
291          Ayz = 0.2 / kappa() * 1.02e-10**3 
292   
293          # Set the MC sim parameter values (overwriting the initial values). 
294          self.align_data.set(param='Axx', value=Axx, category='sim', sim_index=0) 
295          self.align_data.set(param='Ayy', value=Ayy, category='sim', sim_index=0) 
296          self.align_data.set(param='Axy', value=Axy, category='sim', sim_index=0) 
297          self.align_data.set(param='Axz', value=Axz, category='sim', sim_index=0) 
298          self.align_data.set(param='Ayz', value=Ayz, category='sim', sim_index=0) 
299   
300          # Test the set values. 
301          self.assertEqual(self.align_data.Axx_sim[0], Axx) 
302          self.assertEqual(self.align_data.Ayy_sim[0], Ayy) 
303          self.assertEqual(self.align_data.Axy_sim[0], Axy) 
304          self.assertEqual(self.align_data.Axz_sim[0], Axz) 
305          self.assertEqual(self.align_data.Ayz_sim[0], Ayz) 
306   
307          # Calculate the diffusion tensor objects. 
308          Azz, Axxyy, tensor = self.calc_objects(Axx, Ayy, Axy, Axz, Ayz) 
309   
310          # Test the automatically created values. 
311          self.assertEqual(self.align_data.Azz_sim[0], Azz) 
312          self.assertEqual(self.align_data.Axxyy_sim[0], Axxyy) 
313   
314          # Test the matrices. 
315          self.assertEqual(self.align_data.A_sim[0].tostring(), tensor.tostring()) 

316   
317   

318 -    def test_set_Axx(self): 

319          """Test the setting of the Axx parameter.""" 
320   
321          # Set the Axx value to 0.0001. 
322          self.align_data.set(param='Axx', value=0.0001) 
323   
324          # Test that the Axx parameter has been set correctly. 
325          self.assert_(hasattr(self.align_data, 'Axx')) 
326          self.assertEqual(self.align_data.Axx, 0.0001) 

327

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