class_docstr: Calculates the anisotropic power map
  
  Example
  -------
  
  >>> import nipype.interfaces.dipy as dipy
  >>> apm = dipy.APMQball()
  >>> apm.inputs.in_file = 'diffusion.nii'
  >>> apm.inputs.in_bvec = 'bvecs'
  >>> apm.inputs.in_bval = 'bvals'
  >>> apm.run()                                   # doctest: +SKIP
class_docstr_tok: ["Calculates","the","anisotropic","power","map","Example","--","--","--","-",">",">",">","import","nipype.interfaces.dipy","as","dipy",">",">",">","apm","=","dipy.APMQball","(",")",">",">",">","apm.inputs.in_file","=","'diffusion.nii'",">",">",">","apm.inputs.in_bvec","=","'bvecs'",">",">",">","apm.inputs.in_bval","=","'bvals'",">",">",">","apm.run","(",")","#","doctest",":","+SKIP"]
code: def _list_outputs(self):
      outputs = self._outputs().get()
      outputs["out_file"] = self._gen_filename("apm")
  
      return outputs
  
file_path: nipype/nipype/interfaces/dipy/anisotropic_power.py
imports: import numpy
  import nibabel
  from ...None import logging
  from ..base import TraitedSpec, File, isdefined
  from .base import DipyDiffusionInterface, DipyBaseInterfaceInputSpec
label_desc: Use image node_id 2 for calling the APMQball obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs