"""Generic golden replay for multi-output indicators: each entry in multi_manifest.json is reconstructed by its native name and every output field is checked against the Rust-generated g_.csv (one column per field). """ import json import math import os import pytest import wickra as ta HERE = os.path.dirname(__file__) GOLDEN = os.path.normpath(os.path.join(HERE, "..", "..", "..", "testdata", "golden")) def _cell(s): return math.nan if s == "nan" else float(s) def _rows(name): with open(os.path.join(GOLDEN, name + ".csv")) as f: return [[_cell(x) for x in line.split(",")] for line in f.read().splitlines()[1:] if line.strip()] def _input(): with open(os.path.join(GOLDEN, "input.csv")) as f: return [[float(x) for x in line.split(",")] for line in f.read().splitlines()[1:] if line.strip()] with open(os.path.join(GOLDEN, "multi_manifest.json")) as _mf: MANIFEST = json.load(_mf) ROWS = _input() @pytest.mark.parametrize("spec", MANIFEST, ids=[m["canonical"] for m in MANIFEST]) def test_multi_matches_golden(spec): ind = getattr(ta, spec["native"])(*spec["params"]) expected = _rows("g_" + spec["canonical"]) inp = spec["input"] for i, (o, h, l, c, v) in enumerate(ROWS): if inp == "f64": got = ind.update(c) elif inp == "Candle": got = ind.update((o, h, l, c, v, i)) else: got = ind.update(c, o) want = expected[i] if got is None: assert all(math.isnan(w) for w in want), f"{spec['canonical']} row {i}: want {want} got None" continue vals = list(got) assert len(vals) == len(want), f"{spec['canonical']} row {i}: arity {len(vals)} vs {len(want)}" for gv, w in zip(vals, want): gv = math.nan if gv is None else gv if math.isnan(w): assert math.isnan(gv), f"{spec['canonical']} row {i}: want NaN got {gv}" elif math.isinf(w): assert math.isinf(gv) and (gv > 0) == (w > 0) else: assert abs(gv - w) <= 1e-6 * max(1.0, abs(w)), f"{spec['canonical']} row {i}: got {gv} want {w}"