human
Solve the following python programming problem given the following code:
def Prepare(benchmark_spec) : 
    'Install docker. Pull images. Create datasets. Start master and workers.

  Args:
    benchmark_spec: The benchmark specification. Contains all data that is
        required to run the benchmark.
  ' 
    master = benchmark_spec.vm_groups ['master'] [0] 
    workers = benchmark_spec.vm_groups ['workers'] 
    def PrepareCommon(vm) : 
        if (not docker.IsInstalled (vm)) : 
            vm.Install ('docker') 
vm.RemoteCommand ('sudo docker pull cloudsuite/spark') 
        vm.RemoteCommand ('sudo docker pull cloudsuite/movielens-dataset') 
        vm.RemoteCommand ('sudo docker create --name data cloudsuite/movielens-dataset') 
def PrepareMaster(vm) : 
        PrepareCommon (vm) 
        vm.RemoteCommand ('sudo docker pull cloudsuite/in-memory-analytics') 
        start_master_cmd = ('sudo docker run -d --net host -e SPARK_MASTER_IP=%s --name spark-master cloudsuite/spark master' % master.internal_ip) 
        vm.RemoteCommand (start_master_cmd) 
def PrepareWorker(vm) : 
        PrepareCommon (vm) 
        start_worker_cmd = ('sudo docker run -d --net host --volumes-from data --name spark-worker cloudsuite/spark worker spark://%s:7077' % master.internal_ip) 
        vm.RemoteCommand (start_worker_cmd) 
target_arg_tuples = ([(PrepareWorker, [vm], { 
        
}) for vm in workers] + [(PrepareMaster, [master], { 
        
})]) 
    vm_util.RunParallelThreads (PrepareMaster, len (target_arg_tuples)) 

    
    

    Fix the buggy line: vm_util.RunParallelThreads (PrepareMaster, len (target_arg_tuples))
assistant
#Here is Python code to fix the buggy line: vm_util.

vm_util.RunParallelThreads (target_arg_tuples, len (target_arg_tuples))