r3835 - /branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py -- November 22, 2007 - 18:20

Author: bugman
Date: Thu Nov 22 18:20:36 2007
New Revision: 3835

URL: http://svn.gna.org/viewcvs/relax?rev=3835&view=rev
Log:
Updated the prompt.align_tensor arg unit tests to use the DATA_TYPES 
structure.


Modified:
    branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py

Modified: 
branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py?rev=3835&r1=3834&r2=3835&view=diff
==============================================================================
--- branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py 
(original)
+++ branches/N_state_model/test_suite/unit_tests/_prompt/test_align_tensor.py 
Thu Nov 22 18:20:36 2007
@@ -25,7 +25,7 @@
 import sys
 
 # relax module imports.
-from data_types import return_data_types
+from data_types import DATA_TYPES
 from prompt.align_tensor import Align_tensor
 from relax_errors import RelaxBinError, RelaxIntError, RelaxNumTupleError
 from test_suite.unit_tests.align_tensor_testing_base import 
Align_tensor_base_class
@@ -55,7 +55,7 @@
         """Test the proper failure of the align_tensor.init() user function 
for the params argument."""
 
         # Loop over the data types.
-        for data in return_data_types():
+        for data in DATA_TYPES:
             # Catch the float list arguments, and skip them.
             if data[0] == 'float tuple':
                 continue
@@ -68,7 +68,7 @@
         """The proper failure of the align_tensor.init() user function for 
the param_types argument."""
 
         # Loop over the data types.
-        for data in return_data_types():
+        for data in DATA_TYPES:
             # Catch the int and bin arguments, and skip them.
             if data[0] == 'int' or data[0] == 'bin':
                 continue
@@ -81,7 +81,7 @@
         """The proper failure of the align_tensor.init() user function for 
the errors argument."""
 
         # Loop over the data types.
-        for data in return_data_types():
+        for data in DATA_TYPES:
             # Catch the bin arguments, and skip them.
             if data[0] == 'bin':
                 continue