#!/usr/bin/env python3"""The published Python model and the page's JavaScript model must agree."""import json, pathlib, subprocess, sys, tempfileROOT = pathlib.Path(__file__).resolve().parent.parentsys.path.insert(0, str(ROOT / "pipeline"))import model  # noqa: E402BASE = {"supply": 1.31e9, "vol0": 46e9, "cagr": 0.3, "gross_bps_start": 15, "gross_bps_end": 12, "capture_start": 0.36, "capture_end": 0.45,        "claim": 0.75, "l1_burn_usd": 1.5e6, "l1_growth": 0.1, "issuance_start": 0.025, "issuance_end": 0.016, "ramp_years": 3,        "treasury_share": 0.1, "commission": 0.057, "discount": 0.15, "exit_multiple": 25, "l1_value": 1.4e9}CASES = [BASE, {**BASE, "cagr": -0.05, "claim": 0.5, "exit_multiple": 12, "ramp_years": 1}, {**BASE, "cagr": 0.7, "capture_end": 0.6, "claim": 1.0, "discount": 0.13},         {**BASE, "vol0": 1.0, "l1_value": 0.0, "l1_burn_usd": 0.0}]def js_values(cases):    code = ("const m=require(process.argv[1]);const c=JSON.parse(process.argv[2]);"            "console.log(JSON.stringify(c.map(p=>{const v=m.value(p);return {price:v.price,pv:v.pv_cash,t:v.pv_terminal,y5:v.y5_volume,imp:m.impliedVolume(p,4.38)}})))")    out = subprocess.run(["node", "-e", code, str(ROOT / "docs" / "model.js"), json.dumps(cases)], capture_output=True, text=True, check=True)    return json.loads(out.stdout)def test_parity():    js = js_values(CASES)    for p, j in zip(CASES, js):        py = model.value(p)        assert abs(py["price"] - j["price"]) < 1e-9        assert abs(py["pv_cash"] - j["pv"]) < 1e-4        assert abs(py["pv_terminal"] - j["t"]) < 1e-4        imp = model.implied_volume(p, 4.38)        if imp is None:            assert j["imp"] is None        else:            assert abs(imp["cagr"] - j["imp"]["cagr"]) < 1e-6def test_hand_check():    """One year of arithmetic done by hand, so a shared bug in both engines cannot pass."""    p = {**BASE, "cagr": 0.0, "gross_bps_start": 10, "gross_bps_end": 10, "capture_start": 0.5, "capture_end": 0.5, "claim": 1.0, "l1_burn_usd": 0.0, "l1_growth": 0.0,         "issuance_start": 0.0, "issuance_end": 0.0, "exit_multiple": 10, "discount": 0.0, "l1_value": 0.0, "vol0": 1e9, "supply": 1e6}    # 1e9 * 10 bps * 50% = 500,000 a year for 5 years + 10x exit = 7.5M, over 1M tokens = 7.5    assert abs(model.value(p)["price"] - 7.5) < 1e-9def test_monotonic():    low, high = dict(BASE), dict(BASE)    low["cagr"], high["cagr"] = 0.1, 0.5    assert model.value(high)["price"] > model.value(low)["price"]    low, high = dict(BASE), dict(BASE)    low["discount"], high["discount"] = 0.2, 0.1    assert model.value(high)["price"] > model.value(low)["price"]def test_implied_roundtrip():    q = dict(BASE)    imp = model.implied_volume(q, 4.38)    q["cagr"] = imp["cagr"]    assert abs(model.value(q)["price"] - 4.38) < 1e-6if __name__ == "__main__":    for name, fn in list(globals().items()):        if name.startswith("test_"):            fn()            print("ok", name)