text: import multyvac
  import argparse
  
  run_sh = """#!/bin/bash
  export PATH=/home/multyvac/miniconda/bin:$PATH
  source activate build
  cd /home/multyvac/kernels/bin
  python run_multyvac_bench_remote.py --results-dir {results} --benchmark "$@"
  """
  
  
  def main():
      parser = argparse.ArgumentParser()
      parser.add_argument('--layer', required=True)
      parser.add_argument('--scripts-volume', required=True)
      parser.add_argument('--results-volume', required=True)
      parser.add_argument('--wait', action='store_true')
      args = parser.parse_args()
  
      print args
  
      scripts_vol = multyvac.volume.get(args.scripts_volume)
      results_vol = multyvac.volume.get(args.results_volume)
      scripts_vol.put_contents(
          run_sh.format(results=results_vol.mount_path),
          "run.sh")
  
      def runbench(bench):
          jid = multyvac.shell_submit(
              "/bin/bash {}/run.sh {}".format(scripts_vol.mount_path, bench),
              _name='bench1',
              _core='f2',
              _layer=args.layer,
              _vol=[args.scripts_volume, args.results_volume])
          return multyvac.get(jid)
  
      jobs = [runbench(b) for b in ('mixturemodel', 'irm')]
  
      if not args.wait:
          return
  
      for job in jobs:
          job.wait()
  
  
  if __name__ == '__main__':
      main()
  