code: def run_meteor(ref_path, mt_path, metric_path, lang="en"):
      _, out_path = tempfile.mkstemp()
      subprocess.call(
          [
              "java",
              "-Xmx2G",
              "-jar",
              metric_path,
              mt_path,
              ref_path,
              "-p",
              "0.5 0.2 0.6 0.75",  # default parameters, only changed alpha to give equal weight to P and R
              "-norm",
              "-l",
              lang,
          ],
          stdout=open(out_path, "w"),
      )
      os.remove(ref_path)
      os.remove(mt_path)
      sys.stderr.write("\nSaved Meteor output to %s" % out_path)
      return out_path
  
file_path: fairseq/examples/unsupervised_quality_estimation/meteor.py
imports: import argparse
  import math
  import os
  import subprocess
  import sys
  import tempfile
  from collections import defaultdict
  from itertools import combinations
label_desc: Use image node_id 3 for calling a global function with example usage: run_meteor(ref_path, mt_path, metric_path, lang) and returns: out_path