TEST: make specs

Author: effigies

nipype/interfaces/mrtrix3/tests/test_auto_DWIBiasCorrect.py

@@ -4,17 +4,50 @@
 
 def test_DWIBiasCorrect_inputs():
  input_map = dict(
- args=dict(argstr="%s",),
- bias=dict(argstr="-bias %s", extensions=None,),
- bval_scale=dict(argstr="-bvalue_scaling %s",),
- environ=dict(nohash=True, usedefault=True,),
- grad_file=dict(argstr="-grad %s", extensions=None, xor=["grad_fsl"],),
- grad_fsl=dict(argstr="-fslgrad %s %s", xor=["grad_file"],),
- in_bval=dict(extensions=None,),
- in_bvec=dict(argstr="-fslgrad %s %s", extensions=None,),
- in_file=dict(argstr="%s", extensions=None, mandatory=True, position=-2,),
- in_mask=dict(argstr="-mask %s", extensions=None,),
- nthreads=dict(argstr="-nthreads %d", nohash=True,),
+ args=dict(
+ argstr="%s",
+ ),
+ bias=dict(
+ argstr="-bias %s",
+ extensions=None,
+ ),
+ bval_scale=dict(
+ argstr="-bvalue_scaling %s",
+ ),
+ environ=dict(
+ nohash=True,
+ usedefault=True,
+ ),
+ grad_file=dict(
+ argstr="-grad %s",
+ extensions=None,
+ xor=["grad_fsl"],
+ ),
+ grad_fsl=dict(
+ argstr="-fslgrad %s %s",
+ xor=["grad_file"],
+ ),
+ in_bval=dict(
+ extensions=None,
+ ),
+ in_bvec=dict(
+ argstr="-fslgrad %s %s",
+ extensions=None,
+ ),
+ in_file=dict(
+ argstr="%s",
+ extensions=None,
+ mandatory=True,
+ position=-2,
+ ),
+ in_mask=dict(
+ argstr="-mask %s",
+ extensions=None,
+ ),
+ nthreads=dict(
+ argstr="-nthreads %d",
+ nohash=True,
+ ),
  out_file=dict(
  argstr="%s",
  extensions=None,
@@ -24,8 +57,18 @@ def test_DWIBiasCorrect_inputs():
  name_template="%s_biascorr",
  position=-1,
  ),
- use_ants=dict(argstr="-ants", mandatory=True, xor=["use_fsl"],),
- use_fsl=dict(argstr="-fsl", mandatory=True, xor=["use_ants"],),
+ use_ants=dict(
+ argstr="ants",
+ mandatory=True,
+ position=0,
+ xor=["use_fsl"],
+ ),
+ use_fsl=dict(
+ argstr="fsl",
+ mandatory=True,
+ position=0,
+ xor=["use_ants"],
+ ),
  )
  inputs = DWIBiasCorrect.input_spec()
 
@@ -35,7 +78,14 @@ def test_DWIBiasCorrect_inputs():
 
 
 def test_DWIBiasCorrect_outputs():
- output_map = dict(bias=dict(extensions=None,), out_file=dict(extensions=None,),)
+ output_map = dict(
+ bias=dict(
+ extensions=None,
+ ),
+ out_file=dict(
+ extensions=None,
+ ),
+ )
  outputs = DWIBiasCorrect.output_spec()
 
  for key, metadata in list(output_map.items()):