Source Code for Module test_suite.unit_tests._specific_analyses.test_n_state_model

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 2  #                                                                             # 
 3  # Copyright (C) 2008-2013 Edward d'Auvergne                                   # 
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 5  # This file is part of the program relax (http://www.nmr-relax.com).          # 
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21   
22  # Python module imports. 
23  from math import pi 
24  from unittest import TestCase 
25   
26  # relax module imports. 
27  from specific_analyses.n_state_model import parameters 
28  from test_suite.unit_tests.n_state_model_testing_base import N_state_model_base_class 
29   
30   
31 -class Test_n_state_model(N_state_model_base_class, TestCase): 
32      """Unit tests for the functions of the 'specific_analyses.n_state_model' module.""" 
33   
34      # Place the specific_analyses.n_state_model module into the class namespace. 
35      n_state_model_fns = parameters 
36   
37   
38 -    def test_assemble_param_vector(self): 
39          """Test the operation of the specific_analyses.n_state_model.parameters.assemble_param_vector() method.""" 
40   
41          # Set up the N, probabilities and Euler angles. 
42          cdp.N = 3 
43          cdp.probs = [0.1, 0.3, 0.6] 
44          cdp.alpha = [0.0, pi/2, pi] 
45          cdp.beta = [pi/2, pi, 3*pi/2] 
46          cdp.gamma = [1.0, 3*pi/2, 2*pi] 
47          cdp.model = '2-domain' 
48   
49          # Set up a dummy alignment tensor variable to allow the test to pass. 
50          cdp.align_tensors = None 
51   
52          # Get the parameter vector. 
53          param_vector = self.n_state_model_fns.assemble_param_vector() 
54   
55          # The correct result. 
56          vector_true = [0.1, 0.3, 0.0, pi/2, 1.0, pi/2, pi, 3*pi/2, pi, 3*pi/2, 2*pi] 
57   
58          # Check the vector. 
59          self.assertEqual(len(param_vector), len(vector_true)) 
60          for i in range(len(param_vector)): 
61              self.assertEqual(param_vector[i], vector_true[i]) 
62   
63   
64 -    def test_disassemble_param_vector(self): 
65          """Test the operation of the specific_analyses.n_state_model.parameters.disassemble_param_vector() method.""" 
66   
67          # Set up the initial N, probabilities and Euler angles. 
68          cdp.N = 3 
69          cdp.probs = [None]*3 
70          cdp.alpha = [None]*3 
71          cdp.beta = [None]*3 
72          cdp.gamma = [None]*3 
73          cdp.model = '2-domain' 
74   
75          # The parameter vector. 
76          param_vector = [0.1, 0.3, 0.0, pi/2, 1.0, pi/2, pi, 3*pi/2, pi, 3*pi/2, 2*pi] 
77   
78          # Disassemble the parameter vector. 
79          self.n_state_model_fns.disassemble_param_vector(param_vector, data_types=['tensor']) 
80   
81          # Check the probabilities. 
82          self.assertEqual(cdp.probs, [0.1, 0.3, 0.6]) 
83          self.assertEqual(cdp.alpha, [0.0, pi/2, pi]) 
84          self.assertEqual(cdp.beta, [pi/2, pi, 3*pi/2]) 
85          self.assertEqual(cdp.gamma, [1.0, 3*pi/2, 2*pi]) 
86