system: You are an expert security code reviewer. You will be shown a source code file along with a multiple-choice question listing several function or class names from that file. Your task is to identify which one contains the specified CWE vulnerability.

OUTPUT FORMAT: Respond with the single letter of the correct option, wrapped in \boxed{...}. Example: `\boxed{B}`. Output the boxed letter ONLY -- no explanation, no other text.

user: ```python
"""
Created on Feb 28, 2013

@author: jmht
"""

import logging
import multiprocessing
import os
import time

from ample.util import ample_util, clusterize, worker

KILL_FILE = 'KILL_ME_NOW'
logger = logging.getLogger()


class JobServer(object):
    def __init__(self):
        self.inqueue = None
        self.outqueue = None
        logger.info("Running jobs on a local machine")
        logger.info("To stop jobs gracefully create an empty file located at: %s" % os.path.abspath(KILL_FILE))

    def empty_job_queue(self):
        logger.info("emptying job queue")
        # Remove all remaining processes from the inqueue. We do this rather than terminate the processes
        # as terminating leaves the MRBUMP processes running. This way we hang around until all our
        # running processes have finished
        while not self.inqueue.empty():
            job = self.inqueue.get()
            logger.debug("Removed job [{0}] from inqueue".format(job))
        return

    def setJobs(self, jobs):
        """Add the list of jobs we are to run"""
        if self.inqueue:
            raise RuntimeError("NOT THOUGHT ABOUT MULTIPLE INVOCATIONS!")
        queue = multiprocessing.Queue()
        for job in jobs:
            if not os.path.isfile(job):
                raise RuntimeError("JobServer cannot find job: {0}".format(job))
            queue.put(job)
        self.inqueue = queue
        # self.inqueue.close()
        # We can't call inqueue.close() even though we've finished as it all goes horribly wrong
        # We sleep to allow enough time for the objects to be picked and put on the queue
        time.sleep(2)
        return

    def start(self, nproc=None, early_terminate=False, check_success=None, monitor=None):
        assert nproc != None
        # Start the jobs
        processes = []
        for i in range(nproc):
            process = multiprocessing.Process(target=worker.worker, args=(self.inqueue, early_terminate, check_success))
            process.start()
            processes.append(process)
        if monitor:
            monitor()
        success = True
        timeout = 1 * 60
        # qsize=self.outqueue.qsize() # Broken on OSX
        while len(processes):
            for i, process in enumerate(processes):
                if os.path.isfile(KILL_FILE):
                    logger.critical("Found kill file {} so stopping job".format(KILL_FILE))
                    self.empty_job_queue()
                process.join(
                    timeout
                )  # Join process for timeout seconds and if we haven't finished by then move onto the next process
                if not process.is_alive():
                    logger.debug("Checking completed process {0} with exitcode {1}".format(process, process.exitcode))
                    if process.exitcode != 0:
                        logger.critical("Process {0} failed with exitcode {1}".format(process, process.exitcode))
                        success = False
                    if process.exitcode == 0 and early_terminate:
                        logger.info(
                            "Process {0} was successful so removing remaining jobs from inqueue".format(process.name)
                        )
                        self.empty_job_queue()
                    del processes[i]
                if monitor:
                    monitor()
        # need to wait here as sometimes it takes a while for the results files to get written
        time.sleep(3)
        return success


def run_scripts(
    job_scripts,
    monitor=None,
    check_success=None,
    early_terminate=None,
    nproc=None,
    job_time=None,
    job_name=None,
    submit_cluster=None,
    submit_qtype=None,
    submit_queue=None,
    submit_pe_lsf=None,
    submit_pe_sge=None,
    submit_array=None,
    submit_max_array=None,
):
    if submit_cluster:
        return run_scripts_cluster(
            job_scripts,
            nproc=nproc,
            monitor=monitor,
            job_time=job_time,
            job_name=job_name,
            submit_qtype=submit_qtype,
            submit_queue=submit_queue,
            submit_pe_lsf=submit_pe_lsf,
            submit_pe_sge=submit_pe_sge,
            submit_array=submit_array,
            submit_max_array=submit_max_array,
        )
    else:
        return run_scripts_serial(
            job_scripts, nproc=nproc, monitor=monitor, early_terminate=early_terminate, check_success=check_success
        )


def run_scripts_cluster(
    job_scripts,
    monitor=None,
    job_time=None,
    job_name=None,
    submit_qtype=None,
    submit_queue=None,
    submit_pe_lsf=None,
    submit_pe_sge=None,
    submit_array=None,
    submit_max_array=None,
    nproc=None,
):
    logger = logging.getLogger()
    logger.info("Running jobs on a cluster")
    cluster_run = clusterize.ClusterRun()
    cluster_run.QTYPE = submit_qtype
    if submit_array and len(job_scripts) > 1:
        cluster_run.submitArrayJob(
            job_scripts,
            job_time=job_time,
            job_name=job_name,
            submit_max_array=submit_max_array,
            submit_qtype=submit_qtype,
            submit_queue=submit_queue,
        )
    else:
        for script in job_scripts:
            dirname, sname = os.path.split(script)
            name = os.path.splitext(sname)[0]
            logfile = os.path.join(dirname, "{0}.log".format(name))
            if not job_name:
                job_name = name
            if nproc is None:
                nproc = 1
            with open(script) as f:
                lines = f.readlines()
            slines = clusterize.ClusterRun().queueDirectives(
                nproc=nproc,
                job_name=job_name,
                job_time=job_time,
                log_file=logfile,
                submit_queue=submit_queue,
                submit_qtype=submit_qtype,
                submit_pe_lsf=submit_pe_lsf,
                submit_pe_sge=submit_pe_sge,
            )
            # We add the queue directives after the first line of the script
            with open(script, 'w') as f:
                f.writelines("".join([lines[0]] + slines + lines[1:]))
            os.chmod(script, 0o777)
            cluster_run.submitJob(script)

    # Monitor the cluster queue to see when all jobs have finished
    cluster_run.monitorQueue(monitor=monitor)

    # Rename scripts for array jobs
    if submit_array and len(job_scripts) > 1:
        cluster_run.cleanUpArrayJob()
    return True


def run_scripts_serial(job_scripts, nproc=None, monitor=None, early_terminate=None, check_success=None):
    success = False
    if len(job_scripts) > 1:
        # Don't need early terminate - check_success if it exists states what's happening
        js = JobServer()
        js.setJobs(job_scripts)
        success = js.start(
            nproc=nproc, early_terminate=bool(early_terminate), check_success=check_success, monitor=monitor
        )
    else:
        script = job_scripts[0]
        name = os.path.splitext(os.path.basename(script))[0]
        logfile = "{0}.log".format(name)
        wdir = os.path.dirname(script)
        os.chdir(wdir)
        rtn = ample_util.run_command([script], logfile=logfile)
        if rtn == 0:
            success = True
    return success


# Need this defined outside of the test or it can't be pickled on Windoze
def _check_success_test(job):
    jobname = os.path.splitext(os.path.basename(job))[0]
    if jobname == "job_2":
        return True
    return False

```

Which of the following functions or classes contains a `CWE-732: Incorrect Permission Assignment for Critical Resource` vulnerability?

  A) start
  B) run_scripts_cluster
  C) JobServer
  D) run_scripts
Answer: B