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Upload HarnessMix codegen train and held-out eval data
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import subprocess
import sys
from pathlib import Path
cases = [{'input': '5 2 6 3\n', 'output': '2\n'}, {'input': '3 1 5 6\n', 'output': '8\n'}, {'input': '8 3 3 2\n', 'output': '2\n'}, {'input': '2 3 10 4\n', 'output': '3\n'}, {'input': '1000000000 1000000000 1000000000 1000000000\n', 'output': '2000000000\n'}, {'input': '500000000 250000000 750000000 1000000000\n', 'output': '1500000000\n'}, {'input': '1 3 2 5\n', 'output': '8\n'}, {'input': '2 3 1 6\n', 'output': '10\n'}, {'input': '9 6 2 5\n', 'output': '3\n'}, {'input': '1 1 1 1\n', 'output': '2\n'}, {'input': '1 1 500 10\n', 'output': '10\n'}, {'input': '500 1 500 1000\n', 'output': '1501\n'}, {'input': '1 2 1 1\n', 'output': '1\n'}, {'input': '89 983 751 1000\n', 'output': '1106\n'}, {'input': '716270982 22102638 553198855 1000000000\n', 'output': '1305831656\n'}, {'input': '1000000000 1 1000000000 999999999\n', 'output': '999999999\n'}, {'input': '999999999 1 1 1000000000\n', 'output': '1000000002\n'}, {'input': '1 2 3 4\n', 'output': '6\n'}, {'input': '1 3 4 5\n', 'output': '7\n'}, {'input': '1 3 2 6\n', 'output': '10\n'}]
solution = Path(__file__).with_name("solution.py")
for index, case in enumerate(cases):
proc = subprocess.run(
[sys.executable, str(solution)],
input=case["input"],
text=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
timeout=10,
)
if proc.returncode != 0:
raise AssertionError(f"case {index} exited {proc.returncode}: {proc.stderr}")
got = proc.stdout.strip()
expected = case["output"].strip()
if got.split() != expected.split():
raise AssertionError(
f"case {index} output mismatch\nexpected={expected!r}\ngot={got!r}\nstderr={proc.stderr}"
)
print('deepcoder_primeintellect_io')