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
"""
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"""

import glob
import os
import shutil
import subprocess


class ModelicaRunner(object):
    """
    Class to run Modelica models. This is a very simple implementation of what needs to be
    a full CLI to run Modelica easily. At the moment, this probably only works on Linux/Mac
    and perhaps in Windows with Docker.
    For Ubuntu, here is the installation instruction: https://docs.docker.com/engine/install/ubuntu/

    # TODO: test in windows
    # Document how to install Docker
    """

    def __init__(self, modelica_lib_path=None):
        """
        Initialize the runner with data needed for simulation

        :param modelica_lib_path: string, Path to the MBL to run against
        """
        # check if the user has defined a MODELICAPATH, is so, then use that.
        if os.environ.get('MODELICAPATH', None):
            print('Using predefined MODELICAPATH')
            self.modelica_lib_path = os.environ['MODELICAPATH']
        else:
            self.modelica_lib_path = modelica_lib_path
        local_path = os.path.dirname(os.path.abspath(__file__))
        self.jmodelica_py_path = os.path.join(local_path, 'lib', 'runner', 'jmodelica.py')
        self.jm_ipython_path = os.path.join(local_path, 'lib', 'runner', 'jm_ipython.sh')

        # Verify that docker is up and running
        r = subprocess.call(['docker', 'ps'], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
        self.docker_configured = r == 0

    def run_in_docker(self, file_to_run, run_path=None, project_name=None):
        """
        Run the Modelica project in a docker-based environment. Results are saved into the path of the
        file that was selected to run.

        stdout.log will store both stdout and stderr of the simulations

        :param file_to_run: string, name of the file (could be directory?) to simulate
        :param run_path: string, location where the Modelica simulation will start
        :param project_name: string, name of the project being simulated. Will be used to determine name of results
                                     directory
        """
        if not self.docker_configured:
            raise Exception('Docker not configured on host computer, unable to run')

        if not os.path.exists(file_to_run):
            raise Exception(f'File not found to run {file_to_run}')

        if not os.path.isfile(file_to_run):
            raise Exception(f'Expecting to run a file, not a folder in {file_to_run}')

        if not run_path:
            # if there is no run_path, then run it in the same directory as the file being run. This works fine for
            # simple Modelica projects but typically the run_path needs to be a few levels higher in order
            # to include other project dependencies (e.g., multiple mo files).
            run_path = os.path.dirname(file_to_run)

        if not project_name:
            project_name = os.path.splitext(os.path.basename(file_to_run))[0]

        # Copy over ipython and jmodelica needed to run the simulation
        new_jm_ipython = os.path.join(run_path, os.path.basename(self.jm_ipython_path))
        shutil.copyfile(self.jm_ipython_path, new_jm_ipython)
        os.chmod(new_jm_ipython, 0o775)
        shutil.copyfile(self.jmodelica_py_path, os.path.join(run_path, os.path.basename(self.jmodelica_py_path)))

        # Set up the run content
        curdir = os.getcwd()
        os.chdir(run_path)
        stdout_log = open('stdout.log', 'w')
        try:
            # get the relative difference between the file to run and the path which everything is running in.
            # make sure to simulate at a directory above the project directory!

            # Use slashes for the location of the model to run. We can make these periods `.replace(os.sep, '.')`
            # but must strip off the .mo extension on the model to run
            run_model = os.path.relpath(file_to_run, run_path)
            print(f"Running Modelica file: {run_model} in: {run_path}")

            # TODO: Create a logger to show more information such as the actual run command being executed.
            p = subprocess.Popen(
                ['./jm_ipython.sh', 'jmodelica.py', run_model],
                stdout=stdout_log,
                stderr=subprocess.STDOUT,
                cwd=run_path
            )
            exitcode = p.wait()
        finally:
            os.chdir(curdir)
            stdout_log.close()

        # Cleanup all of the temporary files that get created
        self.cleanup_path(run_path)

        # get the location of the results path
        results_path = os.path.join(run_path, f'{project_name}_results')
        self.move_results(run_path, results_path, project_name)
        return exitcode

    def move_results(self, from_path, to_path, project_name=None):
        """This method moves the results of the simulation that are known for now.
        This method moves only specific files (stdout.log for now), plus all files and folders beginning
        with the "{project_name}_" name.

        :param from_path: string, where the files will move from
        :param to_path: string, where the files will be saved. Will be created if does not exist.
        :param project_name: string, name of the project ran in run_in_docker method
        :return:
        """
        # if there are results, they will simply be overwritten (for now).
        if not os.path.exists(to_path):
            os.makedirs(to_path)
        else:
            shutil.rmtree(to_path)
            os.makedirs(to_path)

        files_to_move = [
            'stdout.log',
        ]

        # print(f"Moving simulation results from {from_path} to {to_path}")
        for f in os.listdir(from_path):
            to_move = os.path.join(from_path, f)
            if not to_move == to_path:
                if (os.path.basename(to_move) in files_to_move) or (f.startswith(f'{project_name}_')):
                    shutil.move(to_move, os.path.join(to_path, f))

    def cleanup_path(self, path):
        """
        Clean up the files in the path that was presumably used to run the simulation
        """
        remove_files = [
            'jm_ipython.sh',
            'jmodelica.py',
        ]

        for f in remove_files:
            if os.path.exists(os.path.join(path, f)):
                os.remove(os.path.join(path, f))

        for g in glob.glob(os.path.join(path, 'tmp-simulation-*')):
            # print(f"Removing tmp-simulation files {g}")
            # This is a complete hack but the name of the other folder that gets created is the
            # globbed directory without the tmp-simulation
            eplus_path = os.path.join(path, os.path.basename(g).replace('tmp-simulation-', ''))
            if os.path.exists(eplus_path):
                shutil.rmtree(eplus_path)
            shutil.rmtree(g)

```

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

  A) run_in_docker
  B) cleanup_path
  C) move_results
  D) __init__
Answer: A