"""Regenerates data/arithmetic-14k.jsonl exactly (14,000 items = 7 types x 2,000, fixed seeds).
   python3 scripts/make_arithmetic_14k.py out.jsonl      (needs numpy; RandomState(seed).randint is stable across numpy versions)"""
import json, sys
import numpy as np

SPECS = [("2da", 2, "+", 101), ("2ds", 2, "-", 102), ("3da", 3, "+", 103), ("3ds", 3, "-", 104),
         ("4da", 4, "+", 105), ("5da", 5, "+", 106), ("2dm", 2, "*", 107)]
NAMES = {"+": "addition", "-": "subtraction", "*": "multiplication"}

def items():
    n = 0
    for tag, digits, op, seed in SPECS:
        rng = np.random.RandomState(seed); lo, hi = 10 ** (digits - 1), 10 ** digits - 1
        for k in range(2000):
            x, y = int(rng.randint(lo, hi + 1)), int(rng.randint(lo, hi + 1))
            if op == "-" and y > x:
                x, y = y, x                       # subtraction never goes negative
            z = x + y if op == "+" else (x - y if op == "-" else x * y)
            yield {"id": f"{tag}-{k:04d}", "type": tag, "operation": NAMES[op], "digits": digits, "a": x, "operator": op, "b": y,
                   "question": f"What is {x} {op} {y}?", "answer": str(z)}
            n += 1

if __name__ == "__main__":
    with open(sys.argv[1], "w") as f:
        for it in items():
            f.write(json.dumps(it) + "\n")