Source Code for Module test_suite.unit_tests._prompt.test_diffusion_tensor

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  2  #                                                                             # 
  3  # Copyright (C) 2007-2014 Edward d'Auvergne                                   # 
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 20  ############################################################################### 
 21   
 22  # Python module imports. 
 23  from unittest import TestCase 
 24   
 25  # relax module imports. 
 26  from prompt.interpreter import Interpreter 
 27  from lib.errors import RelaxError, RelaxBoolError, RelaxIntError, RelaxNoneStrError, RelaxNumError, RelaxNoneNumTupleNumError, RelaxStrError 
 28  from test_suite.unit_tests.diffusion_tensor_testing_base import Diffusion_tensor_base_class 
 29   
 30  # Unit test imports. 
 31  from test_suite.unit_tests._prompt.data_types import DATA_TYPES 
 32   
 33   
 34 -class Test_diffusion_tensor(Diffusion_tensor_base_class, TestCase): 
 35      """Unit tests for the functions of the 'prompt.diffusion_tensor' module.""" 
 36   
 37 -    def __init__(self, methodName=None): 
 38          """Set up the test case class for the system tests.""" 
 39   
 40          # Execute the base __init__ methods. 
 41          super(Test_diffusion_tensor, self).__init__(methodName) 
 42   
 43          # Load the interpreter. 
 44          self.interpreter = Interpreter(show_script=False, raise_relax_error=True) 
 45          self.interpreter.populate_self() 
 46          self.interpreter.on(verbose=False) 
 47   
 48          # Alias the user function class. 
 49          self.diffusion_tensor_fns = self.interpreter.diffusion_tensor 
 50   
 51   
 52 -    def test_copy_argfail_pipe_from(self): 
 53          """The pipe_from arg test of the diffusion_tensor.copy() user function.""" 
 54   
 55          # Loop over the data types. 
 56          for data in DATA_TYPES: 
 57              # Catch the None and str arguments, and skip them. 
 58              if data[0] == 'None' or data[0] == 'str': 
 59                  continue 
 60   
 61              # The argument test. 
 62              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.copy, pipe_from=data[1]) 
 63   
 64   
 65 -    def test_copy_argfail_pipe_to(self): 
 66          """The pipe_to arg test of the diffusion_tensor.copy() user function.""" 
 67   
 68          # Loop over the data types. 
 69          for data in DATA_TYPES: 
 70              # Catch the None and str arguments, and skip them. 
 71              if data[0] == 'None' or data[0] == 'str': 
 72                  continue 
 73   
 74              # The argument test. 
 75              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.copy, pipe_to=data[1]) 
 76   
 77   
 78 -    def test_copy_argfail_both_pipes(self): 
 79          """The pipe_from and pipe_to arg test of the diffusion_tensor.copy() user function.""" 
 80   
 81          # Test that both cannot be None (the default)! 
 82          self.assertRaises(RelaxError, self.diffusion_tensor_fns.copy) 
 83   
 84   
 85 -    def test_init_argfail_params(self): 
 86          """The params arg test of diffusion_tensor.init() user function.""" 
 87   
 88          # Loop over the data types. 
 89          for data in DATA_TYPES: 
 90              # Catch None, a single float, int, or bin, and skip them. 
 91              if data[0] == 'None' or data[0] == 'int' or data[0] == 'bin' or data[0] == 'float': 
 92                  continue 
 93   
 94              # Catch the tuple arguments. 
 95              if data[0] == 'tuple' or data[0] == 'float tuple' or data[0] == 'str tuple': 
 96                  # Correct tuple length. 
 97                  if len(data[1]) == 4 or len(data[1]) == 6: 
 98                      continue 
 99   
100              # The argument test. 
101              self.assertRaises(RelaxNoneNumTupleNumError, self.diffusion_tensor_fns.init, params=data[1]) 
102   
103   
104 -    def test_init_argfail_time_scale(self): 
105          """The time_scale arg test of the diffusion_tensor.init() user function.""" 
106   
107          # Loop over the data types. 
108          for data in DATA_TYPES: 
109              # Catch the number arguments, and skip them. 
110              if data[0] == 'bin' or data[0] == 'int' or data[0] == 'float': 
111                  continue 
112   
113              # The argument test. 
114              self.assertRaises(RelaxNumError, self.diffusion_tensor_fns.init, params=1e-9, time_scale=data[1]) 
115   
116   
117 -    def test_init_argfail_d_scale(self): 
118          """The d_scale arg test of the diffusion_tensor.init() user function.""" 
119   
120          # Loop over the data types. 
121          for data in DATA_TYPES: 
122              # Catch the number arguments, and skip them. 
123              if data[0] == 'bin' or data[0] == 'int' or data[0] == 'float': 
124                  continue 
125   
126              # The argument test. 
127              self.assertRaises(RelaxNumError, self.diffusion_tensor_fns.init, params=1e-9, d_scale=data[1]) 
128   
129   
130 -    def test_init_argfail_angle_units(self): 
131          """The angle_units arg test of the diffusion_tensor.init() user function.""" 
132   
133          # Loop over the data types. 
134          for data in DATA_TYPES: 
135              # Catch the str argument, and skip it. 
136              if data[0] == 'str': 
137                  continue 
138   
139              # The argument test. 
140              self.assertRaises(RelaxStrError, self.diffusion_tensor_fns.init, params=1e-9, angle_units=data[1]) 
141   
142   
143 -    def test_init_argfail_param_types(self): 
144          """The param_types arg test of the diffusion_tensor.init() user function.""" 
145   
146          # Loop over the data types. 
147          for data in DATA_TYPES: 
148              # Catch the int and bin arguments, and skip them. 
149              if data[0] == 'int' or data[0] == 'bin': 
150                  continue 
151   
152              # The argument test. 
153              self.assertRaises(RelaxIntError, self.diffusion_tensor_fns.init, params=1e-9, param_types=data[1]) 
154   
155   
156 -    def test_init_argfail_spheroid_type(self): 
157          """The spheroid_type arg test of the diffusion_tensor.init() user function.""" 
158   
159          # Loop over the data types. 
160          for data in DATA_TYPES: 
161              # Catch the None and str arguments, and skip them. 
162              if data[0] == 'None' or data[0] == 'str': 
163                  continue 
164   
165              # The argument test. 
166              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.init, params=1e-9, spheroid_type=data[1]) 
167   
168   
169 -    def test_init_argfail_fixed(self): 
170          """The fixed arg test of the diffusion_tensor.init() user function.""" 
171   
172          # Loop over the data types. 
173          for data in DATA_TYPES: 
174              # Catch the bool arguments, and skip them. 
175              if data[0] == 'bool': 
176                  continue 
177   
178              # The argument test. 
179              self.assertRaises(RelaxBoolError, self.diffusion_tensor_fns.init, params=1e-9, fixed=data[1]) 
180