Source Code for Module test_suite.unit_tests._prompt.test_diffusion_tensor

  1  ############################################################################### 
  2  #                                                                             # 
  3  # Copyright (C) 2007-2012 Edward d'Auvergne                                   # 
  4  #                                                                             # 
  5  # This file is part of the program relax.                                     # 
  6  #                                                                             # 
  7  # relax is free software; you can redistribute it and/or modify               # 
  8  # it under the terms of the GNU General Public License as published by        # 
  9  # the Free Software Foundation; either version 2 of the License, or           # 
 10  # (at your option) any later version.                                         # 
 11  #                                                                             # 
 12  # relax is distributed in the hope that it will be useful,                    # 
 13  # but WITHOUT ANY WARRANTY; without even the implied warranty of              # 
 14  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the               # 
 15  # GNU General Public License for more details.                                # 
 16  #                                                                             # 
 17  # You should have received a copy of the GNU General Public License           # 
 18  # along with relax; if not, write to the Free Software                        # 
 19  # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA   # 
 20  #                                                                             # 
 21  ############################################################################### 
 22   
 23  # Python module imports. 
 24  from unittest import TestCase 
 25   
 26  # relax module imports. 
 27  from prompt.interpreter import Interpreter 
 28  from relax_errors import RelaxError, RelaxBoolError, RelaxIntError, RelaxNoneStrError, RelaxNumError, RelaxNumTupleNumError, RelaxStrError 
 29  from test_suite.unit_tests.diffusion_tensor_testing_base import Diffusion_tensor_base_class 
 30   
 31  # Unit test imports. 
 32  from data_types import DATA_TYPES 
 33   
 34   
 35 -class Test_diffusion_tensor(Diffusion_tensor_base_class, TestCase): 
 36      """Unit tests for the functions of the 'prompt.diffusion_tensor' module.""" 
 37   
 38 -    def __init__(self, methodName=None): 
 39          """Set up the test case class for the system tests.""" 
 40   
 41          # Execute the base __init__ methods. 
 42          super(Test_diffusion_tensor, self).__init__(methodName) 
 43   
 44          # Load the interpreter. 
 45          self.interpreter = Interpreter(show_script=False, quit=False, raise_relax_error=True) 
 46          self.interpreter.populate_self() 
 47          self.interpreter.on(verbose=False) 
 48   
 49          # Alias the user function class. 
 50          self.diffusion_tensor_fns = self.interpreter.diffusion_tensor 
 51   
 52   
 53 -    def test_copy_argfail_pipe_from(self): 
 54          """The pipe_from arg test of the diffusion_tensor.copy() user function.""" 
 55   
 56          # Loop over the data types. 
 57          for data in DATA_TYPES: 
 58              # Catch the None and str arguments, and skip them. 
 59              if data[0] == 'None' or data[0] == 'str': 
 60                  continue 
 61   
 62              # The argument test. 
 63              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.copy, pipe_from=data[1]) 
 64   
 65   
 66 -    def test_copy_argfail_pipe_to(self): 
 67          """The pipe_to arg test of the diffusion_tensor.copy() user function.""" 
 68   
 69          # Loop over the data types. 
 70          for data in DATA_TYPES: 
 71              # Catch the None and str arguments, and skip them. 
 72              if data[0] == 'None' or data[0] == 'str': 
 73                  continue 
 74   
 75              # The argument test. 
 76              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.copy, pipe_to=data[1]) 
 77   
 78   
 79 -    def test_copy_argfail_both_pipes(self): 
 80          """The pipe_from and pipe_to arg test of the diffusion_tensor.copy() user function.""" 
 81   
 82          # Test that both cannot be None (the default)! 
 83          self.assertRaises(RelaxError, self.diffusion_tensor_fns.copy) 
 84   
 85   
 86 -    def test_init_argfail_params(self): 
 87          """The params arg test of diffusion_tensor.init() user function.""" 
 88   
 89          # Loop over the data types. 
 90          for data in DATA_TYPES: 
 91              # Catch a single float, int, or bin, and skip them. 
 92              if data[0] == 'int' or data[0] == 'bin' or data[0] == 'float': 
 93                  continue 
 94   
 95              # Catch the tuple arguments. 
 96              if data[0] == 'tuple' or data[0] == 'float tuple' or data[0] == 'str tuple': 
 97                  # Correct tuple length. 
 98                  if len(data[1]) == 4 or len(data[1]) == 6: 
 99                      continue 
100   
101              # The argument test. 
102              self.assertRaises(RelaxNumTupleNumError, self.diffusion_tensor_fns.init, params=data[1]) 
103   
104   
105 -    def test_init_argfail_time_scale(self): 
106          """The time_scale arg test of the diffusion_tensor.init() user function.""" 
107   
108          # Loop over the data types. 
109          for data in DATA_TYPES: 
110              # Catch the number arguments, and skip them. 
111              if data[0] == 'bin' or data[0] == 'int' or data[0] == 'float': 
112                  continue 
113   
114              # The argument test. 
115              self.assertRaises(RelaxNumError, self.diffusion_tensor_fns.init, params=1e-9, time_scale=data[1]) 
116   
117   
118 -    def test_init_argfail_d_scale(self): 
119          """The d_scale arg test of the diffusion_tensor.init() user function.""" 
120   
121          # Loop over the data types. 
122          for data in DATA_TYPES: 
123              # Catch the number arguments, and skip them. 
124              if data[0] == 'bin' or data[0] == 'int' or data[0] == 'float': 
125                  continue 
126   
127              # The argument test. 
128              self.assertRaises(RelaxNumError, self.diffusion_tensor_fns.init, params=1e-9, d_scale=data[1]) 
129   
130   
131 -    def test_init_argfail_angle_units(self): 
132          """The angle_units arg test of the diffusion_tensor.init() user function.""" 
133   
134          # Loop over the data types. 
135          for data in DATA_TYPES: 
136              # Catch the str argument, and skip it. 
137              if data[0] == 'str': 
138                  continue 
139   
140              # The argument test. 
141              self.assertRaises(RelaxStrError, self.diffusion_tensor_fns.init, params=1e-9, angle_units=data[1]) 
142   
143   
144 -    def test_init_argfail_param_types(self): 
145          """The param_types arg test of the diffusion_tensor.init() user function.""" 
146   
147          # Loop over the data types. 
148          for data in DATA_TYPES: 
149              # Catch the int and bin arguments, and skip them. 
150              if data[0] == 'int' or data[0] == 'bin': 
151                  continue 
152   
153              # The argument test. 
154              self.assertRaises(RelaxIntError, self.diffusion_tensor_fns.init, params=1e-9, param_types=data[1]) 
155   
156   
157 -    def test_init_argfail_spheroid_type(self): 
158          """The spheroid_type arg test of the diffusion_tensor.init() user function.""" 
159   
160          # Loop over the data types. 
161          for data in DATA_TYPES: 
162              # Catch the None and str arguments, and skip them. 
163              if data[0] == 'None' or data[0] == 'str': 
164                  continue 
165   
166              # The argument test. 
167              self.assertRaises(RelaxNoneStrError, self.diffusion_tensor_fns.init, params=1e-9, spheroid_type=data[1]) 
168   
169   
170 -    def test_init_argfail_fixed(self): 
171          """The fixed arg test of the diffusion_tensor.init() user function.""" 
172   
173          # Loop over the data types. 
174          for data in DATA_TYPES: 
175              # Catch the bool arguments, and skip them. 
176              if data[0] == 'bool': 
177                  continue 
178   
179              # The argument test. 
180              self.assertRaises(RelaxBoolError, self.diffusion_tensor_fns.init, params=1e-9, fixed=data[1]) 
181