execute.py

# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py

import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile



def check_correctness(check_program, timeout, task_id, completion_id, language):
    """
    Evaluates the functional correctness of a completion by running the test
    suite provided in the problem.

    :param completion_id: an optional completion ID so we can match
        the results later even if execution finishes asynchronously.
    """
    manager = multiprocessing.Manager()
    result = manager.list()

    if language == "python":
        p = multiprocessing.Process(target=unsafe_execute, args=(check_program, result, timeout))
    elif language == "javascript":
        p = multiprocessing.Process(target=unsafe_execute_js, args=(check_program, result, timeout))

    p.start()
    p.join(timeout=timeout + 1)
    if p.is_alive():
        p.kill()

    if not result:
        result.append("timed out")

    return dict(
        task_id=task_id,
        passed=result[0] == "passed",
        result=result[0],
        completion_id=completion_id,
    )


def unsafe_execute(check_program, result, timeout):

    with create_tempdir():

        # These system calls are needed when cleaning up tempdir.
        import os
        import shutil

        rmtree = shutil.rmtree
        rmdir = os.rmdir
        chdir = os.chdir

        # Disable functionalities that can make destructive changes to the test.
        reliability_guard()

        # Run program.
        try:
            exec_globals = {}
            with swallow_io():
                with time_limit(timeout):
                    exec(check_program, exec_globals)
            result.append("passed")
        except TimeoutException:
            result.append("timed out")
        except BaseException as e:
            result.append(f"failed: {e}")

        # Needed for cleaning up.
        shutil.rmtree = rmtree
        os.rmdir = rmdir
        os.chdir = chdir

def unsafe_execute_js(check_program, result, timeout):

    with create_tempdir():

        open(f"test.js", 'w').write(check_program)

        # These system calls are needed when cleaning up tempdir.
        import os
        import shutil

        rmtree = shutil.rmtree
        rmdir = os.rmdir
        chdir = os.chdir

        # Run program.
        try:
            exec_globals = {}
            with time_limit(timeout):
                exec_result = subprocess.run(["node", "test.js"], timeout=timeout, capture_output=True)
            if exec_result.stderr.decode():
                err = exec_result.stderr.decode()
                result.append(f"failed: {err}")
            elif exec_result.stdout.decode():
                err = exec_result.stdout.decode()
                result.append(f"failed: {err}")
            else:
                result.append("passed")

        except TimeoutException:
            result.append("timed out")            

        # Needed for cleaning up.
        shutil.rmtree = rmtree
        os.rmdir = rmdir
        os.chdir = chdir


@contextlib.contextmanager
def time_limit(seconds):
    def signal_handler(signum, frame):
        raise TimeoutException("Timed out!")

    signal.setitimer(signal.ITIMER_REAL, seconds)
    signal.signal(signal.SIGALRM, signal_handler)
    try:
        yield
    finally:
        signal.setitimer(signal.ITIMER_REAL, 0)


@contextlib.contextmanager
def swallow_io():
    stream = WriteOnlyStringIO()
    with contextlib.redirect_stdout(stream):
        with contextlib.redirect_stderr(stream):
            with redirect_stdin(stream):
                yield


@contextlib.contextmanager
def create_tempdir():
    with tempfile.TemporaryDirectory() as dirname:
        with chdir(dirname):
            yield dirname


class TimeoutException(Exception):
    pass


class WriteOnlyStringIO(io.StringIO):
    """StringIO that throws an exception when it's read from"""

    def read(self, *args, **kwargs):
        raise OSError

    def readline(self, *args, **kwargs):
        raise OSError

    def readlines(self, *args, **kwargs):
        raise OSError

    def readable(self, *args, **kwargs):
        """Returns True if the IO object can be read."""
        return False


class redirect_stdin(contextlib._RedirectStream):  # type: ignore
    _stream = "stdin"


@contextlib.contextmanager
def chdir(root):
    if root == ".":
        yield
        return
    cwd = os.getcwd()
    os.chdir(root)
    try:
        yield
    except BaseException as exc:
        raise exc
    finally:
        os.chdir(cwd)


def reliability_guard(maximum_memory_bytes=None):
    """
    This disables various destructive functions and prevents the generated code
    from interfering with the test (e.g. fork bomb, killing other processes,
    removing filesystem files, etc.)

    WARNING
    This function is NOT a security sandbox. Untrusted code, including, model-
    generated code, should not be blindly executed outside of one. See the
    Codex paper for more information about OpenAI's code sandbox, and proceed
    with caution.
    """

    if maximum_memory_bytes is not None:
        import resource

        resource.setrlimit(resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes))
        resource.setrlimit(resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes))
        if not platform.uname().system == "Darwin":
            resource.setrlimit(resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes))

    faulthandler.disable()

    import builtins

    builtins.exit = None
    builtins.quit = None

    import os

    os.environ["OMP_NUM_THREADS"] = "1"

    os.kill = None
    os.system = None
    os.putenv = None
    os.remove = None
    os.removedirs = None
    os.rmdir = None
    os.fchdir = None
    os.setuid = None
    os.fork = None
    os.forkpty = None
    os.killpg = None
    os.rename = None
    os.renames = None
    os.truncate = None
    os.replace = None
    os.unlink = None
    os.fchmod = None
    os.fchown = None
    os.chmod = None
    os.chown = None
    os.chroot = None
    os.fchdir = None
    os.lchflags = None
    os.lchmod = None
    os.lchown = None
    os.getcwd = None
    os.chdir = None

    import shutil

    shutil.rmtree = None
    shutil.move = None
    shutil.chown = None

    import subprocess

    subprocess.Popen = None  # type: ignore

    __builtins__["help"] = None

    import sys

    sys.modules["ipdb"] = None
    sys.modules["joblib"] = None
    sys.modules["resource"] = None
    sys.modules["psutil"] = None
    sys.modules["tkinter"] = None