removed non-functional wf

nipype/workflows/dmri/dtitk/tensor_registration.py

@@ -142,44 +142,3 @@ def diffeomorphic_tensor_pipeline(name='DiffeoTen',
     wf.connect(reslice_node_moving, 'out_file', outputnode, 'moving_resliced')
 
     return wf
-
-'''
-def apply_diffeo(name='ApplyDiffeo', params={'array_size': (128, 128, 64)}):
-
-    """
-    Workflow that applies a dtitk diffeomorphic registration to a scalar volume
-    by moving the origin and reslicing, then applying the transform.
-
-    Example
-    -------
-
-    >>> from nipype.workflows.dmri.dtitk.tensor_registration import apply_diffeo
-    >>> app_diffeo = diffeomorphic_tensor_pipeline()
-    >>> app_diffeo.inputs.inputnode.moving_file = 'im1.nii'
-    >>> app_diffeo.inputs.inputnode.xfm_file = 'im_warp.df.nii'
-    >>> app_diffeo.run() # doctest: +SKIP
-
-
-    """
-    inputnode = pe.Node(niu.IdentityInterface(
-                        fields=['moving_file', 'xfm_file']),
-                        name='inputnode')
-    outputnode = pe.Node(niu.IdentityInterface(
-                         fields=['out_file']),
-                         name='outputnode')
-    origin_node = pe.Node(dtitk.SVAdjustVoxSp(origin=(0, 0, 0)),
-                          name='origin_node')
-    reslice_node_pow2 = pe.Node(dtitk.SVResample(
-                                array_size=params['array_size']),
-                                name='reslice_node_pow2')
-    apply_xfm_node = pe.Node(dtitk.DiffeoScalarVol(), name='apply_xfm_node')
-
-    wf = pe.Workflow(name=name)
-
-    wf.connect(inputnode, 'moving_file', origin_node, 'in_file')
-    wf.connect(origin_node, 'out_file', reslice_node_pow2, 'in_file')
-    wf.connect(reslice_node_pow2, 'out_file', apply_xfm_node, 'in_file')
-    wf.connect(inputnode, 'xfm_file', apply_xfm_node, 'transform')
-    wf.connect(apply_xfm_node, 'out_file', outputnode, 'out_file')
-
-    return wf'''