Author: bugman
Date: Mon Nov 26 19:39:51 2007
New Revision: 4062
URL: http://svn.gna.org/viewcvs/relax?rev=4062&view=rev
Log:
Added the framework for the arg unit tests of the relax_data user functions.
Added:
1.3/test_suite/unit_tests/_prompt/test_relax_data.py
- copied, changed from r4060,
1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py
Copied: 1.3/test_suite/unit_tests/_prompt/test_relax_data.py (from r4060,
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_relax_data.py?p2=1.3/test_suite/unit_tests/_prompt/test_relax_data.py&p1=1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py&r1=4060&r2=4062&rev=4062&view=diff
==============================================================================
--- 1.3/test_suite/unit_tests/_prompt/test_diffusion_tensor.py (original)
+++ 1.3/test_suite/unit_tests/_prompt/test_relax_data.py Mon Nov 26 19:39:51
2007
@@ -25,152 +25,19 @@
# relax module imports.
from data import Data as relax_data_store
-from prompt.diffusion_tensor import Diffusion_tensor
-from relax_errors import RelaxError, RelaxBinError, RelaxFloatError,
RelaxIntError, RelaxNoneStrError, RelaxNumTupleError, RelaxStrError
-from test_suite.unit_tests.diffusion_tensor_testing_base import
Diffusion_tensor_base_class
+from prompt.relax_data import Relax_data
+from relax_errors import RelaxError
+from test_suite.unit_tests.relax_data_testing_base import
Relax_data_base_class
# Unit test imports.
from data_types import DATA_TYPES
import fake_relax
-class Test_diffusion_tensor(Diffusion_tensor_base_class, TestCase):
- """Unit tests for the functions of the 'prompt.diffusion_tensor'
module."""
+class Test_relax_data(Relax_data_base_class, TestCase):
+ """Unit tests for the functions of the 'prompt.relax_data' module."""
# Instantiate the user function class.
- diffusion_tensor_fns = Diffusion_tensor(fake_relax.fake_instance())
+ relax_data_fns = Relax_data(fake_relax.fake_instance())
- def test_copy_argfail_pipe_from(self):
- """The pipe_from arg test of the diffusion_tensor.copy() 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.copy, pipe_from=data[1])
-
-
- def test_copy_argfail_pipe_to(self):
- """The pipe_to arg test of the diffusion_tensor.copy() 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.copy, pipe_to=data[1])
-
-
- def test_copy_argfail_both_pipes(self):
- """The pipe_from and pipe_to arg test of the diffusion_tensor.copy()
user function."""
-
- # Test that both cannot be None (the default)!
- self.assertRaises(RelaxError, self.diffusion_tensor_fns.copy)
-
-
- def test_init_argfail_params(self):
- """Proper failure of the diffusion_tensor.init() user function for
the params argument."""
-
- # Loop over the data types.
- for data in DATA_TYPES:
- # Catch a single float, int, or bin, and skip them.
- if data[0] == 'int' or data[0] == 'bin' or data[0] == 'float':
- continue
-
- # Catch the tuple arguments.
- if data[0] == 'tuple' or data[0] == 'float tuple':
- # Incorrect tuple length.
- if len(data[1]) != 4 and len(data[1]) != 6:
- self.assertRaises(RelaxError,
self.diffusion_tensor_fns.init, params=data[1])
-
- # Must be a number.
- elif data[0] != 'float tuple':
- self.assertRaises(RelaxNumTupleError,
self.diffusion_tensor_fns.init, params=data[1])
-
- # The argument test.
- else:
- 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])
r4062 - /1.3/test_suite/unit_tests/_prompt/test_relax_data.py