mailr6599 - in /1.3/test_suite/unit_tests/_prompt: test_eliminate.py test_elimination.py


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Posted by edward on June 29, 2008 - 16:07:
Author: bugman
Date: Sun Jun 29 16:07:42 2008
New Revision: 6599

URL: http://svn.gna.org/viewcvs/relax?rev=6599&view=rev
Log:
Renamed an incorrectly named unit test module.


Added:
    1.3/test_suite/unit_tests/_prompt/test_eliminate.py
      - copied unchanged from r6598, 
1.3/test_suite/unit_tests/_prompt/test_elimination.py
Removed:
    1.3/test_suite/unit_tests/_prompt/test_elimination.py

Removed: 1.3/test_suite/unit_tests/_prompt/test_elimination.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/test_suite/unit_tests/_prompt/test_elimination.py?rev=6598&view=auto
==============================================================================
--- 1.3/test_suite/unit_tests/_prompt/test_elimination.py (original)
+++ 1.3/test_suite/unit_tests/_prompt/test_elimination.py (removed)
@@ -1,66 +1,0 @@
-###############################################################################
-#                                                                            
 #
-# Copyright (C) 2008 Edward d'Auvergne                                       
 #
-#                                                                            
 #
-# This file is part of the program relax.                                    
 #
-#                                                                            
 #
-# relax is free software; you can redistribute it and/or modify              
 #
-# it under the terms of the GNU General Public License as published by       
 #
-# the Free Software Foundation; either version 2 of the License, or          
 #
-# (at your option) any later version.                                        
 #
-#                                                                            
 #
-# relax is distributed in the hope that it will be useful,                   
 #
-# but WITHOUT ANY WARRANTY; without even the implied warranty of             
 #
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the              
 #
-# GNU General Public License for more details.                               
 #
-#                                                                            
 #
-# You should have received a copy of the GNU General Public License          
 #
-# along with relax; if not, write to the Free Software                       
 #
-# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA  
 #
-#                                                                            
 #
-###############################################################################
-
-# Python module imports.
-from unittest import TestCase
-
-# relax module imports.
-from generic_fns import eliminate
-from prompt.eliminate import Eliminate
-from relax_errors import RelaxFunctionError, RelaxNoneTupleError
-
-# Unit test imports.
-from data_types import DATA_TYPES
-import fake_relax
-
-
-class Test_eliminate(TestCase):
-    """Unit tests for the functions of the 'prompt.eliminate' module."""
-
-    # Instantiate the user function class.
-    eliminate_fns = Eliminate(fake_relax.fake_instance())
-
-
-    def test_eliminate_function(self):
-        """The function arg unit test of the eliminate() user function."""
-
-        # Loop over the data types.
-        for data in DATA_TYPES:
-            # Catch the None and func arguments, and skip them.
-            if data[0] == 'None' and data[0] == 'func':
-                continue
-
-            # The argument test.
-            self.assertRaises(RelaxFunctionError, 
self.eliminate_fns.eliminate, tensor_from=data[1])
-
-
-    def test_eliminate_args(self):
-        """The args arg unit test of the eliminate() user function."""
-
-        # Loop over the data types.
-        for data in DATA_TYPES:
-            # Catch the None and tuple arguments, and skip them.
-            if data[0] == 'None' and data[0] == 'tuple':
-                continue
-
-            # The argument test.
-            self.assertRaises(RelaxNoneTupleError, 
self.eliminate_fns.eliminate, tensor_from=data[1])




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