code: def test_OutlierCount_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          autoclip=dict(
              argstr="-autoclip",
              usedefault=True,
              xor=["mask"],
          ),
          automask=dict(
              argstr="-automask",
              usedefault=True,
              xor=["mask"],
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fraction=dict(
              argstr="-fraction",
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          interval=dict(
              argstr="-range",
              usedefault=True,
          ),
          legendre=dict(
              argstr="-legendre",
              usedefault=True,
          ),
          mask=dict(
              argstr="-mask %s",
              extensions=None,
              xor=["autoclip", "automask"],
          ),
          out_file=dict(
              extensions=None,
              keep_extension=False,
              name_source=["in_file"],
              name_template="%s_outliers",
          ),
          outliers_file=dict(
              argstr="-save %s",
              extensions=None,
              keep_extension=True,
              name_source=["in_file"],
              name_template="%s_outliers",
              output_name="out_outliers",
          ),
          polort=dict(
              argstr="-polort %d",
          ),
          qthr=dict(
              argstr="-qthr %.5f",
              usedefault=True,
          ),
          save_outliers=dict(
              usedefault=True,
          ),
      )
      inputs = OutlierCount.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_OutlierCount_inputs() without return types