"""Generic golden replay: every scalar indicator in scalar_manifest.json is constructed by its native name with the recorded params, fed the shared golden input, and checked bit-for-bit against the Rust-generated g_.csv. This ties the Python binding to the Rust reference for the whole scalar-output tranche (not just the seven archetype representatives). Fixtures + manifest are produced by `cargo run -p wickra-examples --bin gen_golden`. """ import json import math import os import numpy as np 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 _load(name): with open(os.path.join(GOLDEN, name + ".csv")) as f: return [_cell(line.strip()) for line in f.read().splitlines()[1:] if line.strip()] def _input(): rows = [] with open(os.path.join(GOLDEN, "input.csv")) as f: for line in f.read().splitlines()[1:]: if line.strip(): rows.append([float(x) for x in line.split(",")]) return rows with open(os.path.join(GOLDEN, "scalar_manifest.json")) as _mf: MANIFEST = json.load(_mf) ROWS = _input() @pytest.mark.parametrize("spec", MANIFEST, ids=[m["canonical"] for m in MANIFEST]) def test_scalar_matches_golden(spec): cls = getattr(ta, spec["native"]) ind = cls(*spec["params"]) expected = _load("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: # pairwise (f64, f64): generator fed (close, open) got = ind.update(c, o) want = expected[i] got = math.nan if got is None else got if math.isnan(want): assert math.isnan(got), f"{spec['canonical']} row {i}: want NaN got {got}" elif math.isinf(want): assert math.isinf(got) and (got > 0) == (want > 0), ( f"{spec['canonical']} row {i}: got {got} want {want}" ) else: tol = 1e-6 * max(1.0, abs(want)) assert abs(got - want) <= tol, f"{spec['canonical']} row {i}: got {got} want {want}"