code: def test_MedicAlgorithmMipavReorient_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inInterpolation=dict(
              argstr="--inInterpolation %s",
          ),
          inNew=dict(
              argstr="--inNew %s",
          ),
          inResolution=dict(
              argstr="--inResolution %s",
          ),
          inSource=dict(
              argstr="--inSource %s",
              sep=";",
          ),
          inTemplate=dict(
              argstr="--inTemplate %s",
              extensions=None,
          ),
          inUser=dict(
              argstr="--inUser %s",
          ),
          inUser2=dict(
              argstr="--inUser2 %s",
          ),
          inUser3=dict(
              argstr="--inUser3 %s",
          ),
          inUser4=dict(
              argstr="--inUser4 %s",
          ),
          null=dict(
              argstr="--null %s",
          ),
          outReoriented=dict(
              argstr="--outReoriented %s",
              sep=";",
          ),
          xDefaultMem=dict(
              argstr="-xDefaultMem %d",
          ),
          xMaxProcess=dict(
              argstr="-xMaxProcess %d",
              usedefault=True,
          ),
          xPrefExt=dict(
              argstr="--xPrefExt %s",
          ),
      )
      inputs = MedicAlgorithmMipavReorient.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_MedicAlgorithmMipavReorient_inputs() without return types