code: def test_DataFinder_inputs():
      input_map = dict(
          ignore_regexes=dict(),
          match_regex=dict(
              usedefault=True,
          ),
          max_depth=dict(),
          min_depth=dict(),
          root_paths=dict(
              mandatory=True,
          ),
          unpack_single=dict(
              usedefault=True,
          ),
      )
      inputs = DataFinder.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_DataFinder_inputs() without return types