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9369a37
Add draft for livecodebench code generation
plaguss Feb 10, 2025
2001e7b
Add extra argument version_tag
plaguss Feb 10, 2025
fece552
Fix import name
plaguss Feb 10, 2025
e46fc2a
Remove unused typed dict
plaguss Feb 10, 2025
6a3c007
Checkpoint, not ready yet, try simplifying code running and reuse pas…
plaguss Feb 10, 2025
987eb2a
Add notes for expected values
plaguss Feb 11, 2025
42fb0f5
Pass version tag to downloader
plaguss Feb 11, 2025
b700dc4
Modify helper module and remove dataset version tag
plaguss Feb 14, 2025
29b2bbe
Remove version_tag
plaguss Feb 14, 2025
a60e662
Initial version for lcb:codegeneration
plaguss Feb 14, 2025
05a7f01
Remove outdated argument docs
plaguss Feb 14, 2025
deea663
Remove hardcoded system prompt and pass it via arg
plaguss Feb 14, 2025
a2863f9
Merge branch 'main' into lcb-codegeneration
plaguss Feb 14, 2025
44f45b5
Add kwargs to allow passing other arguments
plaguss Feb 14, 2025
127b4cd
Make generic function to parse the metric name and obtain the number …
plaguss Feb 14, 2025
a372e05
Change metric name to make it more informative
plaguss Feb 14, 2025
53ab417
Add experimental way of passing the number of samples for a metric fr…
plaguss Feb 14, 2025
f6a7c4f
Add more processes to run the tests
plaguss Feb 16, 2025
d6abcd0
Allow reading the generation parameters from the CLI
plaguss Feb 17, 2025
158d660
Update parsing arguments from CLI
plaguss Feb 17, 2025
54fa032
Remove dead code and fix test value
plaguss Feb 17, 2025
4a0fe89
Fix num_samples update
plaguss Feb 17, 2025
f945fdf
Add docs for the new metric_options
plaguss Feb 17, 2025
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3 changes: 2 additions & 1 deletion src/lighteval/tasks/extended/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,12 +25,13 @@

if can_load_extended_tasks():
import lighteval.tasks.extended.ifeval.main as ifeval
import lighteval.tasks.extended.lcb.main as lcb
import lighteval.tasks.extended.mix_eval.main as mix_eval
import lighteval.tasks.extended.mt_bench.main as mt_bench
import lighteval.tasks.extended.olympiade_bench.main as olympiad_bench
import lighteval.tasks.extended.tiny_benchmarks.main as tiny_benchmarks

AVAILABLE_EXTENDED_TASKS_MODULES = [ifeval, tiny_benchmarks, mt_bench, mix_eval, olympiad_bench]
AVAILABLE_EXTENDED_TASKS_MODULES = [ifeval, tiny_benchmarks, mt_bench, mix_eval, olympiad_bench, lcb]

else:
AVAILABLE_EXTENDED_TASKS_MODULES = []
292 changes: 292 additions & 0 deletions src/lighteval/tasks/extended/lcb/lcb_utils.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,292 @@
# MIT License

# Copyright (c) 2025 The HuggingFace Team

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

import base64
import copy
import faulthandler
import io
import json
import multiprocessing
import pickle
import sys
import time
import zlib
from typing import Dict, Optional


def translate_private_test_cases(encoded_data: str) -> Dict[str, str]:
decoded_data = base64.b64decode(encoded_data)
decompressed_data = zlib.decompress(decoded_data)
original_data = pickle.loads(decompressed_data)
return json.loads(original_data)


def reliability_guard(maximum_memory_bytes: Optional[int] = 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.
"""

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 # this line is commented out as it results into error

import sys

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


def post_process_code(code: str) -> str:
code = code.split("</code>")[0]
code = code.replace("```python", "")
code = code.split("```")[0]
code = code.replace("<code>", "")
return code


def prepare_test_input_output_std(test_case):
test_input = test_case["input"]
test_output = test_case["output"].strip()
if test_output.endswith("-"):
test_output = test_output[: test_output.rfind("-")].rstrip() # Remove '-' if present and trailing
return test_input, test_output


def run_test_func(completion, is_extracted: bool, test_input, test_output):
namespace = {}
exec(completion, namespace)
func_name = completion.split("(")[0].split()[-1]

output = io.StringIO()
sys.stdout = output

try:
if not is_extracted:
if isinstance(test_input, dict):
result_output = namespace[func_name](**test_input)
else:
result_output = namespace[func_name](test_input)
else:
result_output = namespace[func_name](*test_input)

if result_output != test_output:
return False, result_output

return True, result_output

except Exception as e:
error_msg = f"Error: {str(e)}" if not is_extracted else str(e)
return False, error_msg

finally:
sys.stdout = sys.__stdout__


def run_test_std(completion, test_input, test_output):
with io.StringIO() as output:
sys.stdout = output
sys.stdin = io.StringIO(test_input)
try:
exec(f'__name__ = "__main__"\n{completion}' if '__name__ == "__main__"' in completion else completion, {})
return output.getvalue().strip() == test_output, output.getvalue().strip()
finally:
sys.stdout = sys.__stdout__


def prepare_test_input_output_functional(test_case, is_extracted: bool): # noqa: C901
if not is_extracted:
# Extract input and expected output from JSON directly
test_input = test_case["input"]
test_output = test_case["output"]
return test_input, test_output
else:
# Robustly process complex inputs
input_str = test_case["input"]
expected_output = test_case["output"].strip()
inputs = []

if "=" in input_str:
parts = input_str.split(",") if "," in input_str else [input_str]
for part in parts:
_, value = map(str.strip, part.split("="))
try:
value = int(value)
except ValueError:
try:
value = float(value)
except ValueError:
value = value.strip('"')
inputs.append(value)
else:
for line in input_str.split("\n"):
line = line.strip()
if not line:
continue
if line.startswith('"') and line.endswith('"'):
inputs.append(line.strip('"'))
continue
if line.startswith("[") and line.endswith("]"):
inputs.append(json.loads(line))
continue
try:
inputs.append(int(line))
except ValueError:
try:
inputs.append(float(line))
except ValueError:
inputs.append(line)

try:
expected_output = json.loads(expected_output)
except json.JSONDecodeError:
expected_output = expected_output.strip()
return inputs, expected_output


def run_tests_for_one_example(test_cases, completion, result_list, is_extracted: bool):
time_elapsed = float("inf")
test_type = test_cases[0]["testtype"]
reliability_guard()
for i, test_case in enumerate(test_cases):
output_error = ""
output_value = ""
try:
time_start = time.time()
if test_type == "functional":
test_input, test_output = prepare_test_input_output_functional(test_case, is_extracted)
passed, output_value = run_test_func(
completion, is_extracted, copy.deepcopy(test_input), copy.deepcopy(test_output)
)
else:
test_input, test_output = prepare_test_input_output_std(test_case)
passed, output_value = run_test_std(completion, copy.deepcopy(test_input), copy.deepcopy(test_output))
time_elapsed = time.time() - time_start
if not passed:
output_error = (
f"For test input: {test_input}. Expected output is: {test_output}, but got: {output_value}."
)

except Exception as e:
passed = False
output_error = f"For test input: {test_input}. Expected output is: {test_output}, but got error: {e}."
output_value = f"Error: {e}."
if output_error == "":
output_error = f"For test input: {test_input}. Expected output is: {test_output}, your solution correctly passes this test with output {output_value}."
result_list.append((passed, output_error, output_value, time_elapsed))
if not passed:
return


def lcb_run(problem: Dict[str, str], completion, timeout: float, is_extracted: bool):
test_cases = problem["test"]
manager = multiprocessing.Manager()
result = manager.list()
p = multiprocessing.Process(target=run_tests_for_one_example, args=(test_cases, completion, result, is_extracted))
p.start()
p.join(timeout=(timeout + 1) * len(test_cases) + 5)
if p.is_alive():
p.kill()

for _ in range(len(test_cases) - len(result)):
result.append((False, "Time out!.", "Error: Time out!", float("inf")))
return result


def check_correctness(problem, completion, timeout: float, is_extracted: bool = False) -> bool:
"""Evaluates the functional correctness of a completion by running the test
suite provided in the problem.
"""
result_list = lcb_run(problem, completion, timeout, is_extracted)
details = [r[0] for r in result_list]
all_passed = all(details)

result = ""
if result_list and all_passed:
result = "passed"

return result == "passed"


def extract_code(model_output: str) -> str:
outputlines = model_output.split("\n")
indexlines = [i for i, line in enumerate(outputlines) if "```" in line]
if len(indexlines) < 2:
return ""
return "\n".join(outputlines[indexlines[-2] + 1 : indexlines[-1]])
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