fd9f4c8bc6
* feat(bindings): expose name() on every indicator in Node, WASM, and Python Surface the core Indicator::name() / BarBuilder::name() accessor through the three native bindings so every indicator reports its canonical name at runtime, matching the existing reset/isReady/warmupPeriod surface. - Node (napi): name(): string on all 514 classes (regenerated index.d.ts) - WASM (wasm-bindgen): name(): string on all 514 classes - Python (pyo3): name() -> str on all classes * feat(bindings): expose name() across the C ABI and C/C++/Go/C#/Java/R Regenerate the C ABI and the four generated language bindings from the updated ScriptHelpers generators so every indicator and bar builder reports its canonical name at runtime, completing name() coverage across all 10 languages. - C ABI (bindings/c): wickra_<ind>_name() -> *const c_char for all 514, cached in a per-function OnceLock<CString> with ind.name() as the source of truth; cbindgen header regenerated and vendored into bindings/go/include. - Go: Name() string; C#: string Name(); Java: String name(); R: name() S3 generic over the wk_<ind>_name C glue (methods.R + NAMESPACE). The Java regeneration also restores two fixes that had drifted out of the generator (bool* arrays via boolSegment; uint8_t ctor args cast to byte) and C# re-emits '#nullable enable'; these are no-op vs the previous committed output apart from the new name() accessors. * test(golden): pin canonical name() across all 10 language bindings Add a cross-language name() consistency check: every indicator must report the exact core Indicator::name() (which can differ from the registered class name, e.g. ChaikinMoneyFlow -> "CMF", Donchian -> "DonchianChannels"). The 514 core names are committed as testdata/golden/names.json (keyed by Rust canonical) and asserted by each binding's golden replay, which already reconstructs the whole catalogue: - node / wasm: assert against names.json in the existing golden test - python: new test_golden_names.py over the shared node manifest - go / csharp / java / c+c++ / r: the golden-test generators load names.json and emit a name assertion per indicator (regenerated test artifacts committed) All 10 bindings return identical names by construction (each delegates to core), so this pins that contract and guards against a future binding breaking the passthrough. * docs(changelog): record name() across all 10 bindings under Unreleased * fix(r): restore bool* flag marshalling in the regenerated C glue The name() regeneration had reverted the cross-section bool fix: the R glue emitted (bool *)REAL(x) for const bool* inputs, reinterpreting 8-byte doubles as 1-byte bools so every flag read as false (PercentAboveMa, NewHighsNewLows, HighLowIndex, BullishPercentIndex returned 0 instead of the breadth value). The wk_bool_vec() helper is restored in the generator and the glue routes bool arrays through it again.
305 lines
12 KiB
Python
305 lines
12 KiB
Python
"""Generate Wickra.Tests/GoldenAllTests.g.cs: a value-parity test that replays
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the shared golden input through every one of the 514 C# indicators and checks
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output bit-for-bit against the Rust reference fixtures g_<Canonical>.csv.
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Run from repo root: python bindings/csharp/gen_golden_test.py
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"""
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import glob
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import json
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import os
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import re
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ROOT = os.path.normpath(os.path.join(os.path.dirname(__file__), "..", ".."))
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G = os.path.join(ROOT, "testdata", "golden")
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GEN = open(os.path.join(ROOT, "bindings", "csharp", "Wickra", "Generated", "Indicators.g.cs"), encoding="utf-8").read()
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# Canonical core Indicator::name() per indicator, shared across every binding.
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NAMES = json.load(open(os.path.join(G, "names.json")))
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# C# constructor parameter types per class.
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ctor_types = {}
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cur = None
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for line in GEN.splitlines():
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m = re.match(r"public sealed class (\w+)", line)
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if m:
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cur = m.group(1)
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continue
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if cur:
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cm = re.match(r"\s*public %s\(([^)]*)\)" % re.escape(cur), line)
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if cm:
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ps = cm.group(1).strip()
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types = [p.strip().rsplit(" ", 1)[0].strip() for p in ps.split(",")] if ps else []
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ctor_types[cur] = types
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cur = None
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# Unified archetype + params, keyed by canonical (== C# class name).
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spec = {}
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for e in json.load(open(os.path.join(G, "scalar_manifest.json"))):
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arch = {"f64": "scalar_f64", "Candle": "scalar_candle", "(f64, f64)": "pairwise"}[e["input"]]
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spec[e["canonical"]] = {"arch": arch, "params": e["params"]}
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for e in json.load(open(os.path.join(G, "multi_manifest.json"))):
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arch = {"f64": "multi_f64", "Candle": "multi_candle", "(f64, f64)": "multi_pairwise"}[e["input"]]
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spec[e["canonical"]] = {"arch": arch, "params": e["params"], "n": e["n"]}
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ex = json.load(open(os.path.join(G, "exotic_manifest.json")))
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for e in ex["deriv"]:
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spec[e["canonical"]] = {"arch": "deriv_multi" if "n" in e else "deriv", "params": e["params"], "n": e.get("n")}
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for e in ex["cross"]:
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spec[e["canonical"]] = {"arch": "cross", "params": e["params"]}
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for e in ex["trade"]:
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spec[e["canonical"]] = {"arch": "trade", "params": e["params"]}
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for e in ex["trademid"]:
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spec[e["canonical"]] = {"arch": "trademid", "params": e["params"]}
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for e in ex["ob"]:
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spec[e["canonical"]] = {"arch": "ob", "params": e["params"]}
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for e in json.load(open(os.path.join(G, "profile_manifest.json"))):
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spec[e["canonical"]] = {"arch": "profile_" + e["kind"], "params": e["params"], "width": e["width"]}
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for e in json.load(open(os.path.join(G, "bars_manifest.json"))):
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arch = "footprint" if e["canonical"] == "Footprint" else "bars_" + e["feed"]
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spec[e["canonical"]] = {"arch": arch, "params": e["params"]}
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canons = sorted(os.path.basename(f)[2:-4] for f in glob.glob(os.path.join(G, "g_*.csv")))
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def lit(value, cstype):
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if cstype == "int":
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return str(int(round(value)))
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if cstype == "uint":
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return f"{int(round(value))}u"
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if cstype == "byte":
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return f"(byte){int(round(value))}"
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f = float(value)
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s = repr(f)
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return s if ("." in s or "e" in s or "E" in s) else s + ".0"
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def ctor_call(canon):
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types = ctor_types.get(canon, [])
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vals = spec[canon]["params"]
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args = ", ".join(lit(v, t) for v, t in zip(vals, types))
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return f"new Wickra.{canon}({args})"
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def block(canon):
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s = spec[canon]
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a = s["arch"]
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L = [f" [Fact]", f" public void Golden_{canon}()", " {"]
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L.append(f" using var ind = {ctor_call(canon)};")
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L.append(f" Assert.Equal({json.dumps(NAMES[canon])}, ind.Name());")
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L.append(" var got = new List<double[]>();")
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L.append(" for (var i = 0; i < Rows.Length; i++)")
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L.append(" {")
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L.append(" var r = Rows[i];")
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if a == "scalar_f64":
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L.append(" got.Add(new[] { ind.Update(r[3]) });")
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elif a == "pairwise":
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L.append(" got.Add(new[] { ind.Update(r[3], r[0]) });")
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elif a == "scalar_candle":
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L.append(" got.Add(new[] { ind.Update(r[0], r[1], r[2], r[3], r[4], i) });")
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elif a == "trade":
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L.append(" got.Add(new[] { ind.Update(r[3], r[4], r[3] >= r[0], i) });")
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elif a == "trademid":
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L.append(" got.Add(new[] { ind.Update(r[3], r[4], r[3] >= r[0], i, (r[1] + r[2]) / 2) });")
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elif a == "ob":
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L.append(" var (bp, bs, ap, asz) = ObLists(r);")
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L.append(" got.Add(new[] { ind.Update(bp, bs, ap, asz) });")
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elif a == "deriv":
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L.append(" var d = DerivFields(r);")
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L.append(" got.Add(new[] { ind.Update(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7], d[8], d[9], d[10], i) });")
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elif a == "deriv_multi":
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L.append(" var d = DerivFields(r);")
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L.append(" got.Add(FlattenNullable(ind.Update(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7], d[8], d[9], d[10], i), %d));" % s["n"])
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elif a == "cross":
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L.append(" var (ch, vo, nh, nl, am, ob) = CrossLists(r);")
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L.append(" got.Add(new[] { ind.Update(ch, vo, nh, nl, am, ob, i) });")
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elif a == "multi_f64":
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L.append(" got.Add(FlattenNullable(ind.Update(r[3]), %d));" % s["n"])
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elif a == "multi_pairwise":
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L.append(" got.Add(FlattenNullable(ind.Update(r[3], r[0]), %d));" % s["n"])
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elif a == "multi_candle":
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L.append(" got.Add(FlattenNullable(ind.Update(r[0], r[1], r[2], r[3], r[4], i), %d));" % s["n"])
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elif a == "profile_bins":
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L.append(" var bins = ind.Update(r[0], r[1], r[2], r[3], r[4], i);")
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L.append(" got.Add(bins ?? NanRow(%d));" % s["width"])
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elif a == "profile_pricebins":
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L.append(" got.Add(FlattenNullable(ind.Update(r[0], r[1], r[2], r[3], r[4], i), %d));" % s["width"])
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elif a == "bars_close":
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L.append(" got.Add(FlattenBars(ind.Update(r[3], r[3], r[3], r[3], 1.0, 0)));")
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elif a == "bars_candle4":
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L.append(" got.Add(FlattenBars(ind.Update(r[0], r[1], r[2], r[3], 1.0, 0)));")
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elif a == "bars_candle5":
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L.append(" got.Add(FlattenBars(ind.Update(r[0], r[1], r[2], r[3], r[4], 0)));")
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elif a == "footprint":
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L.append(" got.Add(FlattenBars(ind.Update(r[3], r[4], r[3] >= r[0], i)));")
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else:
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raise SystemExit("arch " + a)
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L.append(" }")
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L.append(f' Compare("{canon}", got);')
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L.append(" }")
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return "\n".join(L)
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HEADER = '''// <auto-generated>
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// Generated by gen_golden_test.py. DO NOT EDIT.
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//
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// Value-parity for every one of the 514 C# indicators: the shared golden input
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// is replayed through each one and checked bit-for-bit against the Rust
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// reference fixtures testdata/golden/g_<Canonical>.csv. Multi-output, profile
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// and bar shapes are flattened by reflection so one comparator covers all
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// archetypes. Regenerate with: python bindings/csharp/gen_golden_test.py
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// </auto-generated>
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#nullable enable
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using System;
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using System.Collections.Generic;
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using System.Globalization;
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using System.IO;
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using System.Linq;
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using System.Reflection;
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using Xunit;
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namespace Wickra.Tests;
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public class GoldenAllTests
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{
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private const double Tol = 1e-6;
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private static readonly double[][] Rows = LoadInput();
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private static string GoldenDir([System.Runtime.CompilerServices.CallerFilePath] string file = "") =>
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Path.GetFullPath(Path.Combine(Path.GetDirectoryName(file)!, "..", "..", "..", "testdata", "golden"));
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private static double Cell(string s) =>
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s == "nan" ? double.NaN
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: s == "inf" ? double.PositiveInfinity
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: s == "-inf" ? double.NegativeInfinity
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: double.Parse(s, CultureInfo.InvariantCulture);
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private static double[][] LoadInput()
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{
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var lines = File.ReadAllLines(Path.Combine(GoldenDir(), "input.csv"));
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return lines.Skip(1).Where(l => l.Length > 0)
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.Select(l => l.Split(',').Select(x => double.Parse(x, CultureInfo.InvariantCulture)).ToArray())
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.ToArray();
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}
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// Keep blank lines (a candle on which no bar closed) so rows stay aligned.
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private static double[]?[] ReadFixture(string name)
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{
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var lines = File.ReadAllLines(Path.Combine(GoldenDir(), "g_" + name + ".csv"));
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return lines.Skip(1).Select(l => l.Length == 0 ? Array.Empty<double>() : l.Split(',').Select(Cell).ToArray()).ToArray();
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}
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private static double[] NanRow(int n)
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{
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var r = new double[n];
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for (var i = 0; i < n; i++) r[i] = double.NaN;
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return r;
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}
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private static double[] FlattenStruct(object o)
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{
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var props = o.GetType()
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.GetProperties(BindingFlags.Public | BindingFlags.Instance)
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.OrderBy(p => p.MetadataToken);
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var list = new List<double>();
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foreach (var p in props)
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{
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var v = p.GetValue(o);
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switch (v)
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{
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case double d: list.Add(d); break;
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case float f: list.Add(f); break;
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case long l: list.Add(l); break;
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case int n: list.Add(n); break;
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case double[] arr: list.AddRange(arr); break;
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}
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}
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return list.ToArray();
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}
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private static double[] FlattenNullable<T>(T? value, int width) where T : struct =>
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value.HasValue ? FlattenStruct(value.Value) : NanRow(width);
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private static double[] FlattenBars<T>(T[] bars)
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{
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var list = new List<double>();
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foreach (var bar in bars) list.AddRange(FlattenStruct(bar!));
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return list.ToArray();
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}
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private static double[] DerivFields(double[] r)
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{
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double o = r[0], h = r[1], l = r[2], c = r[3], v = r[4];
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return new[]
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{
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(c - o) / c * 0.01, c, c - 0.5, c + 1.0, v * 10.0, v * 0.6, v * 0.4,
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v * 0.55, v * 0.45, h - c, c - l,
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};
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}
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private static (double[], double[], bool[], bool[], bool[], bool[]) CrossLists(double[] r)
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{
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double o = r[0], c = r[3], v = r[4];
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var change = new double[5];
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var volume = new double[5];
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var nh = new bool[5];
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var nl = new bool[5];
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var am = new bool[5];
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var ob = new bool[5];
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for (var j = 0; j < 5; j++)
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{
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change[j] = (c - o) + j;
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volume[j] = v + j * 10.0;
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nh[j] = j % 2 == 0;
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nl[j] = j % 3 == 0;
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am[j] = j % 2 == 0;
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ob[j] = j % 3 == 0;
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}
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return (change, volume, nh, nl, am, ob);
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}
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private static (double[], double[], double[], double[]) ObLists(double[] r)
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{
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double c = r[3], v = r[4];
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var bp = new double[5];
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var bs = new double[5];
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var ap = new double[5];
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var asz = new double[5];
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for (var k = 0; k < 5; k++)
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{
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var kf = k + 1;
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bp[k] = c - 0.1 * kf;
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bs[k] = v / kf;
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ap[k] = c + 0.1 * kf;
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asz[k] = v * 0.9 / kf;
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}
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return (bp, bs, ap, asz);
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}
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private static void Compare(string name, List<double[]> got)
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{
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var exp = ReadFixture(name);
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Assert.True(exp.Length == got.Count, $"{name}: {exp.Length} fixture rows vs {got.Count} computed");
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for (var i = 0; i < exp.Length; i++)
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{
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var want = exp[i]!;
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var g = got[i];
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Assert.True(want.Length == g.Length, $"{name} row {i}: arity {g.Length} vs {want.Length}");
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for (var k = 0; k < want.Length; k++)
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{
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var w = want[k];
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if (double.IsNaN(w)) { Assert.True(double.IsNaN(g[k]), $"{name} row {i} col {k}: want NaN got {g[k]}"); continue; }
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if (double.IsInfinity(w)) { Assert.True(double.IsInfinity(g[k]) && Math.Sign(g[k]) == Math.Sign(w), $"{name} row {i} col {k}: want {w} got {g[k]}"); continue; }
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var tol = Tol * Math.Max(1.0, Math.Abs(w));
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Assert.True(Math.Abs(g[k] - w) <= tol, $"{name} row {i} col {k}: got {g[k]} want {w}");
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}
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}
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}
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'''
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out = [HEADER]
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for canon in canons:
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out.append(block(canon))
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out.append("}")
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open(os.path.join(ROOT, "bindings", "csharp", "Wickra.Tests", "GoldenAllTests.g.cs"), "w", encoding="utf-8").write("\n".join(out) + "\n")
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print("generated GoldenAllTests.g.cs with", len(canons), "indicators")
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