class_docstr: Generate anatomical information necessary for Anatomically
  Constrained Tractography (ACT).
  
  Example
  -------
  
  >>> import nipype.interfaces.mrtrix3 as mrt
  >>> prep = mrt.ACTPrepareFSL()
  >>> prep.inputs.in_file = 'T1.nii.gz'
  >>> prep.cmdline                               # doctest: +ELLIPSIS
  'act_anat_prepare_fsl T1.nii.gz act_5tt.mif'
  >>> prep.run()                                 # doctest: +SKIP
class_docstr_tok: ["Generate","anatomical","information","necessary","for","Anatomically","Constrained","Tractography","(","ACT",")",".","Example","--","--","--","-",">",">",">","import","nipype.interfaces.mrtrix3","as","mrt",">",">",">","prep","=","mrt.ACTPrepareFSL","(",")",">",">",">","prep.inputs.in_file","=","'T1.nii.gz'",">",">",">","prep.cmdline","#","doctest",":","+ELLIPSIS","'act_anat_prepare_fsl","T1.nii.gz","act_5tt.mif'",">",">",">","prep.run","(",")","#","doctest",":","+SKIP"]
code: def _list_outputs(self):
      outputs = self.output_spec().get()
      outputs["out_file"] = op.abspath(self.inputs.out_file)
      return outputs
  
imports: import os.path
  from ..base import CommandLine, CommandLineInputSpec, Directory, File, InputMultiObject, TraitedSpec, Undefined, isdefined, traits
  from .base import MRTrix3Base, MRTrix3BaseInputSpec
label_desc: Use image node_id 1 for calling the ACTPrepareFSL obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs