class_docstr: Lookup meta data values from a Nifti with embedded meta data.
  
  Example
  -------
  
  >>> from nipype.interfaces import dcmstack
  >>> lookup = dcmstack.LookupMeta()
  >>> lookup.inputs.in_file = 'functional.nii'
  >>> lookup.inputs.meta_keys = {'RepetitionTime' : 'TR',                                    'EchoTime' : 'TE'}
  >>> result = lookup.run() # doctest: +SKIP
  >>> result.outputs.TR # doctest: +SKIP
  9500.0
  >>> result.outputs.TE # doctest: +SKIP
  95.0
class_docstr_tok: ["Lookup","meta","data","values","from","a","Nifti","with","embedded","meta","data",".","Example","--","--","--","-",">",">",">","from","nipype.interfaces","import","dcmstack",">",">",">","lookup","=","dcmstack.LookupMeta","(",")",">",">",">","lookup.inputs.in_file","=","'functional.nii'",">",">",">","lookup.inputs.meta_keys","=","{","'RepetitionTime","'",":","'TR","'",",","'EchoTime","'",":","'TE","'","}",">",">",">","result","=","lookup.run","(",")","#","doctest",":","+SKIP",">",">",">","result.outputs.TR","#","doctest",":","+SKIP","9500.0",">",">",">","result.outputs.TE","#","doctest",":","+SKIP","95.0"]
code: def _list_outputs(self):
      outputs = self._outputs().get()
      outputs.update(self.result)
      return outputs
  
imports: import os
  from os import path
  import string
  import errno
  from glob import glob
  import nibabel
  import imghdr
  from .base import TraitedSpec, DynamicTraitedSpec, InputMultiPath, File, Directory, traits, BaseInterface, isdefined, Undefined
label_desc: Use image node_id 4 for calling the LookupMeta obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs