code: def execute_benchmark(path, budget=None, threads=None):
      """
      Run benchmark and return values
      :param path: path to benchmark binary
      :param budget: time budget, sec (supported only by ybenchmark)
      :param threads: number of threads to run benchmark (supported only by ybenchmark)
      :return: map of benchmark values
      """
      benchmark_path = runtime.binary_path(path)
      cmd = [benchmark_path, "--benchmark_format=json"]
      if budget is not None:
          cmd += ["-b", str(budget)]
      if threads is not None:
          cmd += ["-t", str(threads)]
      res = process.execute(cmd)
      return json.loads(res.std_out)
  
label_desc: Use image node_id 1 for calling a global function with example usage: execute_benchmark(path, budget, threads) and returns: json