code: def parse(fname):
      data = defaultdict(list)
      for line in open(fname):
          (
              library,
              _,
              build_time,
              search_elapsed,
              accuracy,
              index_size_kb,
          ) = line.strip().split("\t")
          data[library].append(
              (
                  float(accuracy),
                  math.log(float(search_elapsed)),
                  float(build_time),
                  float(index_size_kb),
              )
          )
      return data
  
file_path: n2/benchmarks/visualize.py
imports: import os
  import math
  import argparse
  import matplotlib.pyplot
  from collections import defaultdict
label_desc: Use image node_id 1 for calling a global function with example usage: parse(fname) and returns: data