human
Solve the following python programming problem given the following code:
def _run_scenario(self, cls, method_name, context, args) : 
    'Runs the specified benchmark scenario with given arguments.

        This method generates a constant load on the cloud under test by
        executing each scenario iteration using a pool of processes without
        pausing between iterations up to the number of times specified
        in the scenario config.

        :param cls: The Scenario class where the scenario is implemented
        :param method_name: Name of the method that implements the scenario
        :param context: Benchmark context that contains users, admin & other
                        information, that was created before benchmark started.
        :param args: Arguments to call the scenario method with

        :returns: List of results fore each single scenario iteration,
                  where each result is a dictionary
        ' 
    timeout = self.config.get ('timeout', 0) 
    times = self.config.get ('times', 1) 
    concurrency = self.config.get ('concurrency', 1) 
    iteration_gen = utils.RAMInt () 
    cpu_count = multiprocessing.cpu_count () 
    max_cpu_used = min (cpu_count, self.config.get ('max_cpu_count', cpu_count)) 
    processes_to_start = min (max_cpu_used, times, concurrency) 
    (concurrency_per_worker, concurrency_overhead) = divmod (concurrency, processes_to_start) 
    self._log_debug_info (times = times, concurrency = concurrency, timeout = timeout, max_cpu_used = max_cpu_used, processes_to_start = processes_to_start, concurrency_per_worker = concurrency_per_worker, concurrency_overhead = concurrency_overhead) 
    result_queue = multiprocessing.Queue () 
    def worker_args_gen(concurrency_overhead) : 
        while True : 
            (yield (result_queue, iteration_gen, timeout, (concurrency_per_worker + (concurrency_overhead and 1)), times, context, cls, method_name, args, self.aborted)) 
            if concurrency_overhead : 
                concurrency_overhead -= 1 
process_pool = self._create_process_pool (processes_to_start,...

    
    

    Fix the buggy line: process_pool = self._create_process_pool (processes_to_start, _worker_process, worker_args_gen (iteration_gen))
assistant
#Here is Python code to fix the buggy line: process_pool = self.

process_pool = self._create_process_pool (processes_to_start, _worker_process, worker_args_gen (concurrency_overhead))