code: def main():
      beam_data = np.load(ARGS.data)
  
      # Optionally load vocabulary data
      vocab = None
      if ARGS.vocab:
          with open(ARGS.vocab) as file:
              vocab = file.readlines()
          vocab = [_.strip() for _ in vocab]
          vocab += ["UNK", "SEQUENCE_START", "SEQUENCE_END"]
  
      if not os.path.exists(ARGS.output_dir):
          os.makedirs(ARGS.output_dir)
  
      # Copy required files
      shutil.copy2(
          "./bin/tools/beam_search_viz/tree.css", ARGS.output_dir
      )
      shutil.copy2(
          "./bin/tools/beam_search_viz/tree.js", ARGS.output_dir
      )
  
      for idx in range(len(beam_data["predicted_ids"])):
          predicted_ids = beam_data["predicted_ids"][idx]
          parent_ids = beam_data["beam_parent_ids"][idx]
          scores = beam_data["scores"][idx]
  
          graph = create_graph(
              predicted_ids=predicted_ids,
              parent_ids=parent_ids,
              scores=scores,
              vocab=vocab,
          )
  
          json_str = json.dumps(
              json_graph.tree_data(graph, (0, 0)), ensure_ascii=False
          )
  
          html_str = HTML_TEMPLATE.substitute(DATA=json_str)
          output_path = os.path.join(
              ARGS.output_dir, "{:06d}.html".format(idx)
          )
          with open(output_path, "w") as file:
              file.write(html_str)
          print(output_path)
  
file_path: seq2seq/bin/tools/generate_beam_viz.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import argparse
  import os
  import json
  import shutil
  from string import Template
  import numpy
  import networkx
  from networkx.readwrite import json_graph
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types