chore: import upstream snapshot with attribution
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This code is adapted from OpenAI's release
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# https://github.com/openai/human-eval/blob/master/human_eval/execution.py
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import contextlib
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import faulthandler
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import io
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import multiprocessing
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import os
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import platform
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import signal
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import tempfile
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def check_correctness(check_program, timeout, task_id, completion_id):
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"""
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Evaluates the functional correctness of a completion by running the test
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suite provided in the problem.
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:param completion_id: an optional completion ID so we can match
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the results later even if execution finishes asynchronously.
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"""
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manager = multiprocessing.Manager()
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result = manager.list()
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p = multiprocessing.Process(target=unsafe_execute, args=(check_program, result, timeout))
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p.start()
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p.join(timeout=timeout + 1)
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if p.is_alive():
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p.kill()
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if not result:
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result.append("timed out")
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return dict(
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task_id=task_id,
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passed=result[0] == "passed",
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result=result[0],
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completion_id=completion_id,
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)
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import io
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import sys
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# Function to capture print output
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def capture_print_output(code):
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# Create a StringIO stream to capture output
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output = io.StringIO()
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# Save the current stdout (standard output)
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current_stdout = sys.stdout
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# Set the stdout to the StringIO stream
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sys.stdout = output
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try:
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# Run the function
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exec(code)
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finally:
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# Restore stdout to its original setting
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sys.stdout = current_stdout
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# Get the content of the StringIO stream
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return output.getvalue()
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# Capture the output
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# output = capture_print_output(my_function)
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# print("Captured output:", output)
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def unsafe_execute(check_program, result, timeout):
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with create_tempdir():
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# These system calls are needed when cleaning up tempdir.
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import os
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import shutil
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rmtree = shutil.rmtree
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rmdir = os.rmdir
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chdir = os.chdir
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# Disable functionalities that can make destructive changes to the test.
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reliability_guard()
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# Run program.
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try:
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exec_globals = {}
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with swallow_io():
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with time_limit(timeout):
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exec(check_program, exec_globals)
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result.append("passed")
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except TimeoutException:
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result.append("timed out")
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except BaseException as e:
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result.append(f"failed: {e}")
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# Needed for cleaning up.
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shutil.rmtree = rmtree
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os.rmdir = rmdir
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os.chdir = chdir
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@contextlib.contextmanager
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def time_limit(seconds):
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def signal_handler(signum, frame):
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raise TimeoutException("Timed out!")
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signal.setitimer(signal.ITIMER_REAL, seconds)
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signal.signal(signal.SIGALRM, signal_handler)
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try:
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yield
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finally:
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signal.setitimer(signal.ITIMER_REAL, 0)
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@contextlib.contextmanager
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def swallow_io():
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stream = WriteOnlyStringIO()
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with contextlib.redirect_stdout(stream):
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with contextlib.redirect_stderr(stream):
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with redirect_stdin(stream):
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yield
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@contextlib.contextmanager
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def create_tempdir():
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with tempfile.TemporaryDirectory() as dirname:
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with chdir(dirname):
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yield dirname
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class TimeoutException(Exception):
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pass
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class WriteOnlyStringIO(io.StringIO):
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"""StringIO that throws an exception when it's read from"""
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def read(self, *args, **kwargs):
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raise OSError
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def readline(self, *args, **kwargs):
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raise OSError
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def readlines(self, *args, **kwargs):
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raise OSError
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def readable(self, *args, **kwargs):
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"""Returns True if the IO object can be read."""
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return False
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class redirect_stdin(contextlib._RedirectStream): # type: ignore
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_stream = "stdin"
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@contextlib.contextmanager
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def chdir(root):
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if root == ".":
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yield
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return
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cwd = os.getcwd()
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os.chdir(root)
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try:
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yield
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except BaseException as exc:
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raise exc
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finally:
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os.chdir(cwd)
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def reliability_guard(maximum_memory_bytes=None):
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"""
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This disables various destructive functions and prevents the generated code
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from interfering with the test (e.g. fork bomb, killing other processes,
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removing filesystem files, etc.)
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WARNING
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This function is NOT a security sandbox. Untrusted code, including, model-
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generated code, should not be blindly executed outside of one. See the
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Codex paper for more information about OpenAI's code sandbox, and proceed
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with caution.
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"""
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if maximum_memory_bytes is not None:
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import resource
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resource.setrlimit(resource.RLIMIT_AS, (maximum_memory_bytes, maximum_memory_bytes))
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resource.setrlimit(resource.RLIMIT_DATA, (maximum_memory_bytes, maximum_memory_bytes))
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if not platform.uname().system == "Darwin":
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resource.setrlimit(resource.RLIMIT_STACK, (maximum_memory_bytes, maximum_memory_bytes))
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faulthandler.disable()
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import builtins
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builtins.exit = None
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builtins.quit = None
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import os
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os.environ["OMP_NUM_THREADS"] = "1"
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os.kill = None
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os.system = None
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os.putenv = None
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os.remove = None
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os.removedirs = None
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os.rmdir = None
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os.fchdir = None
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os.setuid = None
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os.fork = None
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os.forkpty = None
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os.killpg = None
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os.rename = None
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os.renames = None
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os.truncate = None
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os.replace = None
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os.unlink = None
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os.fchmod = None
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os.fchown = None
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os.chmod = None
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os.chown = None
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os.chroot = None
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os.fchdir = None
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os.lchflags = None
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os.lchmod = None
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os.lchown = None
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os.getcwd = None
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os.chdir = None
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import shutil
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shutil.rmtree = None
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shutil.move = None
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shutil.chown = None
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import subprocess
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subprocess.Popen = None # type: ignore
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__builtins__["help"] = None
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import sys
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sys.modules["ipdb"] = None
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sys.modules["joblib"] = None
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sys.modules["resource"] = None
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sys.modules["psutil"] = None
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sys.modules["tkinter"] = None
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