mailr3910 - /1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py


Others Months | Index by Date | Thread Index
>>   [Date Prev] [Date Next] [Thread Prev] [Thread Next]

Header


Content

Posted by edward on November 25, 2007 - 16:46:
Author: bugman
Date: Sun Nov 25 16:43:45 2007
New Revision: 3910

URL: http://svn.gna.org/viewcvs/relax?rev=3910&view=rev
Log:
Implemented all the arg unit tests for the diffusion_tensor.init() user 
function.


Modified:
    1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py

Modified: 1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py?rev=3910&r1=3909&r2=3910&view=diff
==============================================================================
--- 1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py (original)
+++ 1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py Sun Nov 25 
16:43:45 2007
@@ -26,7 +26,7 @@
 # relax module imports.
 from data import Data as relax_data_store
 from prompt.diffusion_tensor import Diffusion_tensor
-from relax_errors import RelaxNumTupleError
+from relax_errors import RelaxBinError, RelaxFloatError, RelaxIntError, 
RelaxNoneStrError, RelaxNumTupleError, RelaxStrError
 from test_suite.unit_tests.diffusion_tensor_testing_base import 
Diffusion_tensor_base_class
 
 # Unit test imports.
@@ -54,4 +54,79 @@
             self.assertRaises(RelaxNumTupleError, 
self.diffusion_tensor_fns.init, params=data[1])
 
 
+    def test_init_argfail_time_scale(self):
+        """The time_scale arg test of the diffusion_tensor.init() user 
function."""
 
+        # Loop over the data types.
+        for data in DATA_TYPES:
+            # Catch the float argument, and skip it.
+            if data[0] == 'float':
+                continue
+
+            # The argument test.
+            self.assertRaises(RelaxFloatError, 
self.diffusion_tensor_fns.init, params=1e-9, time_scale=data[1])
+
+
+    def test_init_argfail_d_scale(self):
+        """The d_scale arg test of the diffusion_tensor.init() user 
function."""
+
+        # Loop over the data types.
+        for data in DATA_TYPES:
+            # Catch the float argument, and skip it.
+            if data[0] == 'float':
+                continue
+
+            # The argument test.
+            self.assertRaises(RelaxFloatError, 
self.diffusion_tensor_fns.init, params=1e-9, d_scale=data[1])
+
+
+    def test_init_argfail_angle_units(self):
+        """The angle_units arg test of the diffusion_tensor.init() user 
function."""
+
+        # Loop over the data types.
+        for data in DATA_TYPES:
+            # Catch the str argument, and skip it.
+            if data[0] == 'str':
+                continue
+
+            # The argument test.
+            self.assertRaises(RelaxStrError, self.diffusion_tensor_fns.init, 
params=1e-9, angle_units=data[1])
+
+
+    def test_init_argfail_param_types(self):
+        """The param_types arg test of the diffusion_tensor.init() user 
function."""
+
+        # Loop over the 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
+
+            # The argument test.
+            self.assertRaises(RelaxIntError, self.diffusion_tensor_fns.init, 
params=1e-9, param_types=data[1])
+
+
+    def test_init_argfail_spheroid_type(self):
+        """The spheroid_type arg test of the diffusion_tensor.init() user 
function."""
+
+        # Loop over the data types.
+        for data in DATA_TYPES:
+            # Catch the None and str arguments, and skip them.
+            if data[0] == 'None' or data[0] == 'str':
+                continue
+
+            # The argument test.
+            self.assertRaises(RelaxNoneStrError, 
self.diffusion_tensor_fns.init, params=1e-9, spheroid_type=data[1])
+
+
+    def test_init_argfail_fixed(self):
+        """The fixed arg test of the diffusion_tensor.init() user 
function."""
+
+        # Loop over the data types.
+        for data in DATA_TYPES:
+            # Catch the bin arguments, and skip them.
+            if data[0] == 'bin':
+                continue
+
+            # The argument test.
+            self.assertRaises(RelaxBinError, self.diffusion_tensor_fns.init, 
params=1e-9, fixed=data[1])




Related Messages


Powered by MHonArc, Updated Sun Nov 25 17:00:16 2007