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import ast
import inspect
import json
import multiprocessing
import sys
from concurrent.futures import ProcessPoolExecutor, as_completed
from tqdm import tqdm
from evalplus.data.humaneval import (
HUMANEVAL_PLUS_VERSION,
get_human_eval_plus,
get_human_eval_plus_hash,
)
from evalplus.eval import is_floats
from evalplus.eval._special_oracle import _poly
from evalplus.evaluate import get_groundtruth
HUMANEVAL_TEST_TEMPLATE = """\
{imports}
{aux_fn}
def check(candidate):
inputs = {inputs}
results = {results}
for i, (inp, exp) in enumerate(zip(inputs, results)):
{assertion}
"""
HUMANEVAL_CROSSCHECK_TEMPLATE = """\
{aux_fn}
{ref_func}
def check(candidate):
inputs = {inputs}
for i, inp in enumerate(inputs):
assertion(candidate(*inp), ref_func(*inp), {atol})
"""
ASSERTION_FN = f"""\
import numpy as np
{inspect.getsource(is_floats)}
def assertion(out, exp, atol):
exact_match = out == exp
if atol == 0 and is_floats(exp):
atol = 1e-6
if not exact_match and atol != 0:
np.testing.assert_allclose(out, exp, atol=atol)
else:
assert exact_match
"""
def synthesize_test_code(task_id, entry_point, inputs, results, ref_func, atol):
# dataset size optimization for large outputs
if entry_point in (
"tri",
"string_sequence",
"starts_one_ends",
"make_a_pile",
"special_factorial",
"all_prefixes",
):
return task_id, HUMANEVAL_CROSSCHECK_TEMPLATE.format(
aux_fn=ASSERTION_FN,
inputs=inputs,
ref_func=ref_func.replace(f" {entry_point}(", " ref_func("),
atol=atol,
)
# default settings
imports = set()
aux_fn = ASSERTION_FN
assertion = f"assertion(candidate(*inp), exp, {atol})"
# special case: poly
if entry_point == "find_zero":
imports.add("import math")
aux_fn = inspect.getsource(_poly) + "\n"
assertion = f"assert _poly(*candidate(*inp), inp) <= {atol}"
return task_id, HUMANEVAL_TEST_TEMPLATE.format(
imports="\n".join(imports),
aux_fn=aux_fn,
inputs=inputs,
results=results,
assertion=assertion,
)
def deduplicate(inputs, results):
assert len(inputs) == len(results)
unique_input_strs = set([f"{x}" for x in inputs])
new_inputs, new_results = [], []
for inp, res in zip(inputs, results):
inp_str = f"{inp}"
if inp_str in unique_input_strs:
new_inputs.append(inp)
new_results.append(res)
unique_input_strs.remove(inp_str)
return new_inputs, new_results
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--debug-tasks", nargs="+", default=[], type=int)
args = parser.parse_args()
if hasattr(sys, "set_int_max_str_digits"):
sys.set_int_max_str_digits(int(10e8))
plus_problems = get_human_eval_plus(mini=False)
dataset_hash = get_human_eval_plus_hash()
compatible_problems = {}
expected_outputs = get_groundtruth(plus_problems, dataset_hash, [])
# debugging: monitoring test code size
id2bytes = {}
n_workers = max(1, multiprocessing.cpu_count() // 4)
with ProcessPoolExecutor(max_workers=n_workers) as executor:
futures = []
for task_id, plus_form in tqdm(plus_problems.items()):
if args.debug_tasks and int(task_id.split("/")[-1]) not in args.debug_tasks:
continue
compatible_form = {}
compatible_form["task_id"] = task_id
compatible_form["prompt"] = plus_form["prompt"]
compatible_form["canonical_solution"] = plus_form["canonical_solution"]
compatible_form["entry_point"] = plus_form["entry_point"]
compatible_problems[task_id] = compatible_form
inputs = plus_form["base_input"] + plus_form["plus_input"]
results = (
expected_outputs[task_id]["base"] + expected_outputs[task_id]["plus"]
)
inputs, results = deduplicate(inputs, results)
assert len(inputs) == len(results)
atol = plus_form["atol"]
simplified_prompt = ""
for line in compatible_form["prompt"].split("\n"):
if not line:
continue
if '"""' in line or "'''" in line:
break
simplified_prompt += line + "\n"
futures.append(
executor.submit(
synthesize_test_code,
task_id,
compatible_form["entry_point"],
inputs,
results,
simplified_prompt + compatible_form["canonical_solution"],
atol,
)
)
for future in tqdm(as_completed(futures), total=len(plus_problems)):
task_id, test_code = future.result()
# syntax check of test_code
ast.parse(test_code)
id2bytes[task_id] = len(test_code.encode("utf-8"))
compatible_problems[task_id]["test"] = test_code
# print the top-10 largest test code
print("Top-10 largest test code comes from problems (in megabytes):")
for task_id, size in sorted(id2bytes.items(), key=lambda x: x[1], reverse=True)[
:10
]:
print(f"{task_id}:\t{size / 1024 / 1024:.2f}mb")
if args.debug_tasks:
for problem in compatible_problems.values():
print("--- debugging:", problem["task_id"])
print(problem["prompt"] + problem["canonical_solution"])
test_code = problem["test"]
if len(test_code) <= 2048 + 512:
print(test_code)
else:
print(problem["test"][:1024], "...")
print("...", problem["test"][-1024:])
else:
with open(f"HumanEvalPlus-OriginFmt-{HUMANEVAL_PLUS_VERSION}.jsonl", "w") as f:
for problem in compatible_problems.values():
f.write(json.dumps(problem) + "\n")
if __name__ == "__main__":
main()
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