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# https://github.com/rllm-org/rllm/tree/main/examples/deepcoder
#
# This file has been modified from the original implementation
# to fit the DeepCoder environment used in this project.
import json
import os
import subprocess
import tempfile
import textwrap
from typing import Optional, Tuple
from datasets import concatenate_datasets, load_dataset
try:
from rllm.data.dataset import DatasetRegistry
except Exception:
DatasetRegistry = None
try:
from rllm.data.utils import fetch_live_code_bench_system_prompt
except Exception:
def fetch_live_code_bench_system_prompt(problem: str, starter_code: str | None = None) -> str:
if starter_code:
return f"{problem}\n\nStarter code:\n{starter_code}"
return problem
def prepare_deepcoder_data(train_size: int = None, test_size: int = None):
train_dataset = concatenate_datasets([
load_dataset("agentica-org/DeepCoder-Preview-Dataset", name="primeintellect", split="train"),
load_dataset("agentica-org/DeepCoder-Preview-Dataset", name="taco", split="train"),
load_dataset("agentica-org/DeepCoder-Preview-Dataset", name="lcbv5", split="train"),
])
test_dataset = concatenate_datasets([
load_dataset("agentica-org/DeepCoder-Preview-Dataset", name="codeforces", split="test"),
load_dataset("agentica-org/DeepCoder-Preview-Dataset", name="lcbv5", split="test"),
])
def preprocess_fn(example, idx):
starter_code = example.get("starter_code", "")
question = fetch_live_code_bench_system_prompt(
example["problem"],
starter_code if starter_code else None,
)
tests_raw = example["tests"]
if isinstance(tests_raw, str):
tests = json.loads(tests_raw)
else:
tests = tests_raw
metadata = example.get("metadata", {})
if isinstance(tests, dict) and "inputs" in tests and "outputs" in tests:
normalized_tests = []
for input_val, output_val in zip(tests["inputs"], tests["outputs"], strict=False):
normalized_tests.append({
"input": input_val,
"output": output_val,
"testtype": "stdin_stdout",
})
tests = normalized_tests
if not isinstance(tests, list):
tests = [tests] if tests else []
for test in tests:
if test.get("testtype") == "functional" and metadata.get("func_name") is not None:
test["metadata"] = {"func_name": str(metadata["func_name"])}
else:
test["metadata"] = {"func_name": None}
return {
"question": question,
"ground_truth": json.dumps(tests),
"data_source": "livecodebench",
"uid": f"deepcoder_{idx}",
"index": idx,
"starter_code": starter_code,
"metadata": json.dumps(metadata),
}
if train_size:
train_dataset = train_dataset.select(range(min(train_size, len(train_dataset))))
if test_size:
test_dataset = test_dataset.select(range(min(test_size, len(test_dataset))))
train_dataset = train_dataset.map(preprocess_fn, with_indices=True, writer_batch_size=10, num_proc=16)
test_dataset = test_dataset.map(preprocess_fn, with_indices=True, writer_batch_size=10, num_proc=16)
if DatasetRegistry is not None:
train_dataset = DatasetRegistry.register_dataset("deepcoder", train_dataset, "train")
test_dataset = DatasetRegistry.register_dataset("deepcoder", test_dataset, "test")
return train_dataset, test_dataset
def _normalize_top_level_code(code: str) -> str:
return code.strip("\n")
def run_deepcoder_sandbox(
code: str,
tests: list,
metadata: Optional[dict] = None,
starter_code: str = "",
timeout_seconds: int = 3,
) -> Tuple[bool, str, int, int, bool]:
if not tests:
return False, "No tests available.", 0, 0, False
func_name = None
if metadata:
func_name = metadata.get("func_name")
header = _normalize_top_level_code(starter_code or "")
body = _normalize_top_level_code(code or "")
header_has_class = "class Solution" in header
body_has_class = "class Solution" in body
if body_has_class:
# If the model already provides the class, ignore starter_code to avoid duplication.
header = ""
elif header_has_class and body.startswith("def "):
# If starter_code defines the class and body provides a method, indent body into class.
indented = []
for line in body.splitlines():
indented.append((" " + line) if line.strip() else "")
body = "\n".join(indented)
if header and body:
user_code = f"{header}\n\n{body}"
else:
user_code = header or body
prepared_tests = []
for test in tests:
testtype = test.get("testtype")
expected = test.get("output")
if testtype == "functional" and func_name:
raw_input = test.get("input", [])
if isinstance(raw_input, str):
parts = [p for p in raw_input.strip().splitlines() if p.strip()]
try:
args = [eval(p) for p in parts]
except Exception:
args = [raw_input]
elif isinstance(raw_input, (list, tuple)):
args = list(raw_input)
else:
args = [raw_input]
prepared_tests.append(
{
"testtype": "functional",
"args": args,
"expected": expected,
}
)
else:
prepared_tests.append(
{
"testtype": "stdin_stdout",
"input": test.get("input", ""),
"expected": expected,
}
)
# Run all tests in a single Python child process to avoid process spawn overhead per test.
harness = f"""
import io
import json
import sys
from contextlib import redirect_stdout, redirect_stderr
USER_CODE = json.loads({json.dumps(json.dumps(user_code, ensure_ascii=False), ensure_ascii=False)})
TESTS = json.loads({json.dumps(json.dumps(prepared_tests, ensure_ascii=False), ensure_ascii=False)})
FUNC_NAME = json.loads({json.dumps(json.dumps(func_name, ensure_ascii=False), ensure_ascii=False)})
def _run_functional(test):
scope = {{}}
with io.StringIO() as _buf_out, io.StringIO() as _buf_err:
with redirect_stdout(_buf_out), redirect_stderr(_buf_err):
exec(USER_CODE, scope, scope)
call_target = None
if "Solution" in scope and FUNC_NAME:
call_target = getattr(scope["Solution"](), FUNC_NAME)
elif FUNC_NAME and FUNC_NAME in scope:
call_target = scope[FUNC_NAME]
else:
return False, None, "Function not found"
try:
result = call_target(*test.get("args", []))
return True, result, None
except Exception as e:
return False, None, repr(e)
def _run_stdin_stdout(test):
scope = {{"__name__": "__main__"}}
stdin_data = str(test.get("input", ""))
out_buf = io.StringIO()
err_buf = io.StringIO()
try:
old_stdin = sys.stdin
sys.stdin = io.StringIO(stdin_data)
with redirect_stdout(out_buf), redirect_stderr(err_buf):
exec(USER_CODE, scope, scope)
return True, out_buf.getvalue(), None
except Exception as e:
return False, out_buf.getvalue(), repr(e)
finally:
sys.stdin = old_stdin
def main():
passed_tests = 0
total_tests = len(TESTS)
runnable = True
first_failure = None
events = []
for idx, test in enumerate(TESTS):
testtype = test.get("testtype")
expected = test.get("expected")
if testtype == "functional":
ok, result, err = _run_functional(test)
if not ok:
runnable = False
events.append({{"idx": idx, "ok": False}})
if first_failure is None:
first_failure = f"Exception on test {{idx}}: {{err}}"
continue
if str(result) != str(expected):
events.append({{"idx": idx, "ok": False}})
if first_failure is None:
first_failure = f"Wrong answer on test {{idx}}: got {{result}} expected {{expected}}"
continue
passed_tests += 1
events.append({{"idx": idx, "ok": True}})
else:
ok, out, err = _run_stdin_stdout(test)
if not ok:
runnable = False
events.append({{"idx": idx, "ok": False}})
if first_failure is None:
first_failure = f"Runtime error on test {{idx}}: {{err}}"
continue
got = str(out).strip()
exp = str(expected).strip()
if got != exp:
events.append({{"idx": idx, "ok": False}})
if first_failure is None:
first_failure = f"Wrong answer on test {{idx}}: got {{got}} expected {{exp}}"
continue
passed_tests += 1
events.append({{"idx": idx, "ok": True}})
is_correct = (passed_tests == total_tests and total_tests > 0)
if is_correct:
detail = "All tests passed."
else:
summary = f"Passed {{passed_tests}}/{{total_tests}} tests."
detail = summary if first_failure is None else f"{{summary}} {{first_failure}}"
print(
json.dumps(
{{
"is_correct": is_correct,
"detail": detail,
"passed_tests": passed_tests,
"total_tests": total_tests,
"runnable": runnable,
"events": events,
}},
ensure_ascii=False,
)
)
if __name__ == "__main__":
main()
"""
ok, out, err = _exec_python(textwrap.dedent(harness), stdin_input="", timeout_seconds=timeout_seconds)
if not ok:
detail = f"Sandbox runtime error: {err or out}"
return False, detail, 0, len(prepared_tests), False
try:
payload = json.loads(out.strip().splitlines()[-1])
except Exception:
detail = f"Sandbox malformed output: {out.strip()}"
return False, detail, 0, len(prepared_tests), False
if not isinstance(payload, dict):
detail = f"Sandbox malformed payload type: {type(payload).__name__}"
return False, detail, 0, len(prepared_tests), False
events = payload.get("events", [])
if isinstance(events, list):
for event in events:
if not isinstance(event, dict):
continue
idx = event.get("idx", "?")
ok = bool(event.get("ok", False))
print(f"[DeepCoderSandbox] test={idx} ok={ok}")
return (
bool(payload.get("is_correct", False)),
str(payload.get("detail", "Unknown")),
int(payload.get("passed_tests", 0)),
int(payload.get("total_tests", len(prepared_tests))),
bool(payload.get("runnable", False)),
)
def _exec_python(code: str, stdin_input: str, timeout_seconds: int = 3) -> Tuple[bool, str, str]:
debug_dir = "/tmp/deepcoder_debug"
os.makedirs(debug_dir, exist_ok=True)
fd, script_path = tempfile.mkstemp(prefix="solution_", suffix=".py", dir=debug_dir)
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(code)
try:
proc = subprocess.run(
["python", script_path],
input=stdin_input,
text=True,
capture_output=True,
timeout=timeout_seconds,
)
ok = proc.returncode == 0
return ok, proc.stdout, proc.stderr
except subprocess.TimeoutExpired:
return False, "", "Timeout"
finally:
try:
os.remove(script_path)
except OSError:
pass
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