code: def test_Dump_inputs():
      input_map = dict(
          annotations_brief=dict(
              argstr="-b %s",
              xor=("annotations_brief", "annotations_full"),
          ),
          annotations_full=dict(
              argstr="-f %s",
              xor=("annotations_brief", "annotations_full"),
          ),
          args=dict(
              argstr="%s",
          ),
          coordinate_data=dict(
              argstr="-c",
              xor=("coordinate_data", "header_data"),
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          header_data=dict(
              argstr="-h",
              xor=("coordinate_data", "header_data"),
          ),
          input_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          line_length=dict(
              argstr="-l %d",
          ),
          netcdf_name=dict(
              argstr="-n %s",
          ),
          out_file=dict(
              argstr="> %s",
              extensions=None,
              genfile=True,
              position=-1,
          ),
          output_file=dict(
              extensions=None,
              hash_files=False,
              keep_extension=False,
              name_source=["input_file"],
              name_template="%s_dump.txt",
              position=-1,
          ),
          precision=dict(
              argstr="%s",
          ),
          variables=dict(
              argstr="-v %s",
              sep=",",
          ),
      )
      inputs = Dump.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_Dump_inputs() without return types