code: def test_ie_graph():
      # raw_data = "James went to the corner-shop. He want to buy some (eggs), " \
      #            "<milk> and bread for breakfast."
      # raw_data = ('Return to Olympus is the only album by the alternative rock band Malfunkshun . '
      #             'It was released after the band had broken up and after lead singer Andrew Wood '
      #             '( later of Mother Love Bone ) had died of a drug overdose in 1990 . ')
  
      raw_data = "James is on shop. He buys eggs."
  
      # raw_data = ('Paul Allen was born on January 21, 1953, in Seattle, Washington, '
      #             'to Kenneth Sam Allen and Edna Faye Allen. Allen attended Lakeside School, '
      #             'a private school in Seattle, where he befriended Bill Gates, two years younger, '
      #             'with whom he shared an enthusiasm for computers. ')
      # 'Paul and Bill used a teletype terminal at their high school, Lakeside, '
      # 'to develop their programming skills on several time-sharing computer systems.')
  
      # raw_data = ('Police arrested a man named Albert Boucher . As of Saturday afternoon , he '
      #             'was being held in the Warren County Regional Jail on a $5,000 bond .')
  
      # use '_' replace '-' ? 'fourth-degree'->'fourth_degree'
      # java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
  
      # raw_data = ('Rand Paul was assaulted in his home in Bowling Green, Kentucky , on Friday , '
      #             'according to Kentucky State Police . '
      #             'State troopers responded to a call to the senator \'s '
      #             'residence at 3:21 p.m. Friday . Police arrested a man named Rene Albert '
      #             'Boucher, who they '
      #             'allege " intentionally assaulted " Paul , causing him "minor injury" . '
      #             'Boucher , 59 , of Bowling '
      #             'Green was charged with one count of fourth_degree assault . As of Saturday '
      #             'afternoon , he '
      #             'was being held in the Warren County Regional Jail on a $5,000 bond .')
  
      nlp_parser = StanfordCoreNLP(
          "http://localhost", port=9000, timeout=300000
      )
  
      # vocab_model =  VocabModel([raw_data.split('.'), raw_data.split('.')],
      #                     max_word_vocab_size=None,
      #                     min_word_vocab_freq=1,
      #                     word_emb_size=300)
  
      output_graph0 = IEBasedGraphConstruction.topology(
          raw_data, nlp_parser, merge_strategy=None, edge_strategy=None
      )
  
      # embedding_styles = {'word_emb_type':'w2v', 'node_edge_emb_strategy':'mean',
      # 'seq_info_encode_strategy':'bilstm'}
      # embedding_styles = {
      #     "word_emb_type": "w2v",
      #     "node_edge_emb_strategy": "lstm",
      #     "seq_info_encode_strategy": "bilstm",
      # }
      # iegc = IEBasedGraphConstruction(vocab=vocab_model.word_vocab,
      # embedding_style=embedding_styles, use_cuda=False)
      # output_graph0 = iegc.embedding(output_graph0)
  
      output_graph1 = IEBasedGraphConstruction.topology(
          raw_data,
          nlp_parser,
          merge_strategy="global",
          edge_strategy=None,
      )
      # output_graph1 = iegc.embedding(output_graph1)
  
      output_graph2 = IEBasedGraphConstruction.topology(
          raw_data,
          nlp_parser,
          merge_strategy=None,
          edge_strategy="as_node",
      )
      # output_graph2 = iegc.embedding(output_graph2)
  
      output_graph3 = IEBasedGraphConstruction.topology(
          raw_data,
          nlp_parser,
          merge_strategy="global",
          edge_strategy="as_node",
      )
      # output_graph3 = iegc.embedding(output_graph3)
  
      # IEBasedGraphConstruction.topology(raw_data, nlp_parser,
      #                                   merge_strategy="share_common_tokens",
      #                                   edge_strategy='as_node')
  
      print(output_graph0.node_attributes)
      print(output_graph0.edge_attributes)
  
      print(output_graph1.node_attributes)
      print(output_graph1.edge_attributes)
  
      print(output_graph2.node_attributes)
      print(output_graph2.edge_attributes)
  
      print(output_graph3.node_attributes)
      print(output_graph3.edge_attributes)
      pass
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_ie_graph() without return types