Fixed model to 2

Author: chrisgorgo

nipype/interfaces/fsl/dti.py

@@ -114,7 +114,7 @@ class FSLXCommandInputSpec(FSLCommandInputSpec):
     n_fibres = traits.Range(
         usedefault=True, low=1, default=2, argstr='--nfibres=%d',
         desc=('Maximum number of fibres to fit in each voxel'), mandatory=True)
-    model = traits.Enum(1, 2, argstr='--model=%d',
+    model = traits.Enum(1, 2, 3, argstr='--model=%d',
                         desc=('use monoexponential (1, default, required for '
                               'single-shell) or multiexponential (2, multi-'
                               'shell) model'))
@@ -246,7 +246,7 @@ class BEDPOSTX5InputSpec(FSLXCommandInputSpec):
     n_fibres = traits.Range(
         usedefault=True, low=1, default=2, argstr='-n %d',
         desc=('Maximum number of fibres to fit in each voxel'), mandatory=True)
-    model = traits.Enum(1, 2, argstr='-model %d',
+    model = traits.Enum(1, 2, 3, argstr='-model %d',
                         desc=('use monoexponential (1, default, required for '
                               'single-shell) or multiexponential (2, multi-'
                               'shell) model'))

nipype/workflows/dmri/fsl/tests/test_dti.py

@@ -51,6 +51,7 @@ def test_create_bedpostx_pipeline():
     nipype_bedpostx.inputs.xfibres.sample_every = 1
     nipype_bedpostx.inputs.xfibres.cnlinear = True
     nipype_bedpostx.inputs.xfibres.seed = 0
+    nipype_bedpostx.inputs.xfibres.model = 2
 
     with warnings.catch_warnings():
         warnings.simplefilter("ignore")
@@ -64,6 +65,7 @@ def test_create_bedpostx_pipeline():
     original_bedpostx.inputs.n_jumps = 1
     original_bedpostx.inputs.sample_every = 1
     original_bedpostx.inputs.seed = 0
+    original_bedpostx.inputs.model = 2
 
     test_f1 = pe.Node(util.AssertEqual(), name="mean_f1_test")