code: def test_CoherenceAnalyzer_inputs():
      input_map = dict(
          NFFT=dict(
              usedefault=True,
          ),
          TR=dict(),
          figure_type=dict(
              usedefault=True,
          ),
          frequency_range=dict(
              usedefault=True,
          ),
          in_TS=dict(),
          in_file=dict(
              extensions=None,
              requires=("TR",),
          ),
          n_overlap=dict(
              usedefault=True,
          ),
          output_csv_file=dict(
              extensions=None,
          ),
          output_figure_file=dict(
              extensions=None,
          ),
      )
      inputs = CoherenceAnalyzer.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_CoherenceAnalyzer_inputs() without return types