code: def test_PlotTimeSeries_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              mandatory=True,
              position=1,
          ),
          labels=dict(
              argstr="%s",
          ),
          legend_file=dict(
              argstr="--legend=%s",
              extensions=None,
          ),
          out_file=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
              hash_files=False,
          ),
          output_type=dict(),
          plot_finish=dict(
              argstr="--finish=%d",
              xor=("plot_range",),
          ),
          plot_range=dict(
              argstr="%s",
              xor=("plot_start", "plot_finish"),
          ),
          plot_size=dict(
              argstr="%s",
          ),
          plot_start=dict(
              argstr="--start=%d",
              xor=("plot_range",),
          ),
          sci_notation=dict(
              argstr="--sci",
          ),
          title=dict(
              argstr="%s",
          ),
          x_precision=dict(
              argstr="--precision=%d",
          ),
          x_units=dict(
              argstr="-u %d",
              usedefault=True,
          ),
          y_max=dict(
              argstr="--ymax=%.2f",
              xor=("y_range",),
          ),
          y_min=dict(
              argstr="--ymin=%.2f",
              xor=("y_range",),
          ),
          y_range=dict(
              argstr="%s",
              xor=("y_min", "y_max"),
          ),
      )
      inputs = PlotTimeSeries.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_PlotTimeSeries_inputs() without return types