Brings the WAT tier to parity with c-emcc and pyodide for streaming
output during evalLisp. Previously the asm tier buffered everything
in the 0x10000 output region and the JS loader only read the bytes
AFTER lumbda_eval returned — fox saw the bend demo's pre-call
displays sit invisible for 18 s and then appear all at once.
WAT-side changes:
- New env.emit_chunk(ptr, len) import. Host function forwards the
slice to the current onChunk callback so the worker can postMessage
a chunk to the playground panel as work happens.
- New $flush_start global tracks the offset (relative to 0x10000)
where the next emit_chunk slice begins. Reset to 0 at the top
of lumbda_eval alongside $output_len so successive evals don't
re-emit stale bytes.
- $out_char now checks for newline (i32.const 10) after the store.
A newline emits the slice [flush_start, output_len) and advances
flush_start to the end. Every display call ends up flushing on
its trailing newline; per-char displays without a newline get
buffered until the next newline or the eval-end trailing flush.
- $lumbda_eval ends with a trailing-flush guard so any non-newline-
terminated content (e.g. print_value's final repr) reaches the
stream instead of only landing through the final lumbda_output_*
read.
JS loader:
- importObj.env.emit_chunk decodes the slice from wasm memory and
forwards to refs.currentOnChunk.
- evalLisp(src, onChunk) parameter; sets/clears currentOnChunk
around the lumbda_eval call. Same shape as c-emcc + pyodide.
Tests: every node test that instantiates the asm wasm directly now
declares a stub emit_chunk() {} alongside its bend_call stub —
unit, integration, functional-cross, parity-cross-tier. Node test
suite passes 23/23 unit; parity probe times out in its full sweep
under our 30s ceiling so it gets run separately.
Quick smoke: (display "line 1") (newline) (display "line 2") (newline)
(display "line 3") emits three chunks via onChunk — "line 1\n",
"line 2\n", "line 3" — and lumbda_output_* still has the full
"line 1\nline 2\nline 3" as before.
134 lines
5.3 KiB
JavaScript
134 lines
5.3 KiB
JavaScript
// wasm/tests/parity-cross-tier.mjs
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// For every CORPUS entry, run the source on every tier (native python,
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// c-wasm, asm-wasm) and report mismatches against the expected output.
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// Known divergences (KNOWN_DIVERGE) are tolerated but printed in yellow
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// so the gap is visible without breaking the build.
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//
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// Python tier runs via the host's python3 lumbda.py because the Pyodide
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// loader needs a browser context. That keeps this test fast (no 10MB
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// CDN download) while still pinning behavior to the reference tier.
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import fs from "node:fs";
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import path from "node:path";
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import { execFileSync } from "node:child_process";
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import { fileURLToPath } from "node:url";
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import { CORPUS, KNOWN_DIVERGE } from "./parity-corpus.mjs";
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const here = path.dirname(fileURLToPath(import.meta.url));
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const dist = path.resolve(here, "..", "dist");
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const repoRoot = path.resolve(here, "..", "..");
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const state = { ok: 0, fail: 0, knownDiverge: 0, failures: [] };
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function check(tag, tier, expected, got, isKnown) {
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const passed = got === expected;
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if (passed) state.ok++;
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else if (isKnown) state.knownDiverge++;
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else { state.fail++; state.failures.push({ tag, tier, expected, got }); }
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const status = passed
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? "✓"
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: isKnown
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? "~" // known divergence
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: "✗";
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const label = `${status} ${tier.padEnd(6)} ${tag}`;
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if (!passed) {
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const detail = `expected ${JSON.stringify(expected)} · got ${JSON.stringify(got)}`;
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console.log(` ${label} — ${detail}`);
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}
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}
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// Wrap each test source so the result is printed via display (uniform
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// across tiers — no write quoting, no "is this the last expression"
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// behavior to depend on). The source may contain multiple top-level
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// forms (e.g. defines), so we put the final expression in a (begin ...)
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// and display its result.
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function wrap(src) {
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// The source's last sub-expression is what we want to display.
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// We rely on the tiers each evaluating the lot and `(display ...)`
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// emitting display semantics on the value.
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return `(display (begin ${src})) (newline)`;
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}
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// ─── tier adapters ─────────────────────────────────────────────────
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function nativePython(src) {
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const tmp = `/tmp/parity-${process.pid}.lsp`;
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fs.writeFileSync(tmp, wrap(src) + "\n");
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try {
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return execFileSync("python3", [path.join(repoRoot, "lumbda.py"), tmp], {
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encoding: "utf8", timeout: 30000,
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}).trim();
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} finally { try { fs.unlinkSync(tmp); } catch {} }
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}
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async function withAsmTier() {
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const wasmBytes = fs.readFileSync(path.join(dist, "asm", "lumbda-asm.wasm"));
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const importObj = { env: { bend_call() { return 0; }, emit_chunk() {} } };
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const { instance } = await WebAssembly.instantiate(wasmBytes, importObj);
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const exp = instance.exports;
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exp.lumbda_init();
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return (src) => {
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const bytes = new TextEncoder().encode(wrap(src));
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new Uint8Array(exp.memory.buffer).set(bytes, exp.lumbda_source_ptr());
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try { exp.lumbda_eval(bytes.length); }
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catch (e) { return `THREW: ${e.message}`; }
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return new TextDecoder().decode(
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new Uint8Array(exp.memory.buffer, exp.lumbda_output_ptr(), exp.lumbda_output_len())
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).trim();
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};
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}
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async function withCTier() {
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const factoryURL = "file://" + path.join(dist, "c", "lumbda-c.js");
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const createLumbdaC = (await import(factoryURL)).default;
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let out = [];
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const m = await createLumbdaC({
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locateFile: (p) => path.join(dist, "c", p),
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print: (line) => out.push(line),
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printErr: () => {},
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});
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m.cwrap("lumbda_wasm_init", null, [])();
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const _eval = m.cwrap("lumbda_wasm_eval", "number", ["string"]);
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const _free = m.cwrap("lumbda_wasm_free_result", null, ["number"]);
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return (src) => {
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out = [];
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const r = _eval(wrap(src));
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if (r) { const msg = m.UTF8ToString(r); _free(r); return msg; }
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return out.join("\n").trim();
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};
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}
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(async () => {
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console.log("─".repeat(70));
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console.log("Cross-tier parity probe — python (ref) vs c-wasm vs asm-wasm");
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console.log("─".repeat(70));
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const runAsm = await withAsmTier();
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const runC = await withCTier();
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for (const entry of CORPUS) {
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const knownOn = KNOWN_DIVERGE[entry.tag] || [];
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const isAsmKnown = knownOn.includes("asm");
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const isCKnown = knownOn.includes("c");
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const isPyKnown = knownOn.includes("python");
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const py = nativePython(entry.src);
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const cw = runC(entry.src);
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const aw = runAsm(entry.src);
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check(entry.tag, "py-ref", entry.expected, py, isPyKnown);
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check(entry.tag, "c-wasm", entry.expected, cw, isCKnown);
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check(entry.tag, "asm", entry.expected, aw, isAsmKnown);
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}
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console.log("─".repeat(70));
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console.log(` passing : ${state.ok}`);
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console.log(` known diverge: ${state.knownDiverge} (tracked in KNOWN_DIVERGE)`);
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console.log(` fail : ${state.fail}`);
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if (state.fail > 0) {
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console.log("\nUnknown divergences (fix or add to KNOWN_DIVERGE):");
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for (const f of state.failures) {
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console.log(` ${f.tier} ${f.tag}: expected ${JSON.stringify(f.expected)} got ${JSON.stringify(f.got)}`);
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}
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}
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process.exit(state.fail ? 1 : 0);
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})();
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