diff --git a/CHANGELOG.md b/CHANGELOG.md index 8093c842..91521e16 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -22,7 +22,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - JIT M3: cache one idle native entry handle per runtime with epoch-based invalidation (ABI minor 20), remove native-return queue allocation, and reuse CALL feedback storage. Reuse validated bytecode boundaries during helper PC - checks. Add acquisition metrics, lifecycle regressions, and + checks, and reuse one native execution timing stack across functions. + Add acquisition metrics, lifecycle regressions, and paired generic-call diagnostics. See `docs/M3.md`. ### Deprecated @@ -31,6 +32,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed +- Benchmark forced Tier 2 direct calls only after the required caller/callee + publications settle; reject compilation during the timed batch and refresh + stale local workload checksums. + ### Security ## [0.12.2] - 2026-07-27 diff --git a/benchmarks/README.md b/benchmarks/README.md index ca9a2748..47b50569 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -26,6 +26,16 @@ The default policy is five warmups, 30 fresh-process latency samples, and ten one-second throughput windows per workload and mode. The JSON records those actual values. Do not use reduced runs for performance claims. + +Forced Tier 2 probes can declare `globalThis.tier2ReadyInstalls` to require a +known publication count before timing. The direct-call probe requires four: +two baseline and two optimizing artifacts. An unrelated blacklisted function +cannot bypass that requirement. Both optimized modes execute quiet warmup +iterations while draining compilation; an explicit forced-Tier2 requirement +also rejects unsettled startup or new compilation during the timed batch. +Unsupported probes without the declaration retain bounded interpreter/Tier 1 +fallback. Use the same harness revision for both sides of a runtime comparison. + For a fast functional smoke run of the focused scalar-loop, call-heavy, and property-heavy cases: diff --git a/benchmarks/results/m3-timing-stack-call-heavy-paired.json b/benchmarks/results/m3-timing-stack-call-heavy-paired.json new file mode 100644 index 00000000..cfcfb74e --- /dev/null +++ b/benchmarks/results/m3-timing-stack-call-heavy-paired.json @@ -0,0 +1,14699 @@ +{ + "schema": "jit-timing-stack-paired-diagnostic-v1", + "workload": "call-heavy", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T12:32:07Z", + "driver_sha256": "f56d9bdf081d691553b9dc968823f6eedae86e1af8ad48e8da6a9cc83acada28", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/call-heavy.js", + "script_sha256": "5688a779d65aef9c9b309cc9e4a7143f1220cb78ed9296746774154f3c755f3a", + "executables": { + "reference": { + "path": "/tmp/jit-call-reference/jit-bench", + "sha256": 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i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "candidate_source_diff_sha256": "1d9efd1d0e9169d16f1d3a1f1b5bc97d4df51c113d58a56d7c3d15a0d462e956", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "driver_source": "\"\"\"Diagnostic paired revision comparison using the unchanged jit-bench worker ABI.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'reference': Path('/tmp/jit-call-reference/jit-bench'),\n 'entry_cache': Path('/tmp/jit-timing-stack-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair + index):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n row = {'pair_index': pair}\n for engine in rotated(list(ENGINES), pair + index):\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n for engine in rotated(list(ENGINES), window + index):\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['reference', 'entry_cache']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source revision diagnostic, not a clean-source acceptance matrix. CPU 0 pinned; other local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations. The original forced-Tier2 readiness rule can begin timing before its caller is published. These Tier2 rows do not establish settled steady-state speed; retain raw bimodal samples and use the corrected-harness comparison for conclusions.", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, tier1_ready_installs)\n || (mode != \"automatic\"\n && before.blacklisted > 0\n && before.pending_worker_jobs == 0)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Automatic tiering may queue one more version right after its first\n // Tier 2 entry (a side path or a refreshed caller). Let that bounded tail\n // of compilation settle before the steady state is timed; a sample whose\n // compilation never settles is still rejected below.\n if let Some(jit) = &jit {\n if mode == \"automatic\" {\n let settle_deadline = Instant::now() + Duration::from_secs(1);\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < settle_deadline {\n let _settle_checksum = invoke_workload(&context)?;\n jit.poll();\n before = jit.metrics();\n if before.pending_worker_jobs == 0 && before.pending_snapshot_bytes == 0 {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, tier1_ready_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= tier1_ready_installs,\n \"tier2\" => m.tier2_entries > 0,\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. 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--git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "candidate_source_diff_sha256": "1d9efd1d0e9169d16f1d3a1f1b5bc97d4df51c113d58a56d7c3d15a0d462e956", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "driver_source": "\"\"\"Diagnostic paired revision comparison using the unchanged jit-bench worker ABI.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'reference': Path('/tmp/jit-call-reference/jit-bench'),\n 'entry_cache': Path('/tmp/jit-timing-stack-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair + index):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n row = {'pair_index': pair}\n for engine in rotated(list(ENGINES), pair + index):\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n for engine in rotated(list(ENGINES), window + index):\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['reference', 'entry_cache']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source revision diagnostic, not a clean-source acceptance matrix. CPU 0 pinned; other local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations. The original forced-Tier2 readiness rule can begin timing before its caller is published. These Tier2 rows do not establish settled steady-state speed; retain raw bimodal samples and use the corrected-harness comparison for conclusions. Some benchmark regression-test compilation overlapped these control runs after the readiness defect was discovered.", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, tier1_ready_installs)\n || (mode != \"automatic\"\n && before.blacklisted > 0\n && before.pending_worker_jobs == 0)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Automatic tiering may queue one more version right after its first\n // Tier 2 entry (a side path or a refreshed caller). Let that bounded tail\n // of compilation settle before the steady state is timed; a sample whose\n // compilation never settles is still rejected below.\n if let Some(jit) = &jit {\n if mode == \"automatic\" {\n let settle_deadline = Instant::now() + Duration::from_secs(1);\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < settle_deadline {\n let _settle_checksum = invoke_workload(&context)?;\n jit.poll();\n before = jit.metrics();\n if before.pending_worker_jobs == 0 && before.pending_snapshot_bytes == 0 {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, tier1_ready_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= tier1_ready_installs,\n \"tier2\" => m.tier2_entries > 0,\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. 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100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "candidate_source_diff_sha256": "1d9efd1d0e9169d16f1d3a1f1b5bc97d4df51c113d58a56d7c3d15a0d462e956", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "driver_source": "\"\"\"Diagnostic paired revision comparison using the unchanged jit-bench worker ABI.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'reference': Path('/tmp/jit-call-reference/jit-bench'),\n 'entry_cache': Path('/tmp/jit-timing-stack-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair + index):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n row = {'pair_index': pair}\n for engine in rotated(list(ENGINES), pair + index):\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n for engine in rotated(list(ENGINES), window + index):\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['reference', 'entry_cache']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source revision diagnostic, not a clean-source acceptance matrix. CPU 0 pinned; other local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations. The original forced-Tier2 readiness rule can begin timing before its caller is published. These Tier2 rows do not establish settled steady-state speed; retain raw bimodal samples and use the corrected-harness comparison for conclusions.", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, tier1_ready_installs)\n || (mode != \"automatic\"\n && before.blacklisted > 0\n && before.pending_worker_jobs == 0)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Automatic tiering may queue one more version right after its first\n // Tier 2 entry (a side path or a refreshed caller). Let that bounded tail\n // of compilation settle before the steady state is timed; a sample whose\n // compilation never settles is still rejected below.\n if let Some(jit) = &jit {\n if mode == \"automatic\" {\n let settle_deadline = Instant::now() + Duration::from_secs(1);\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < settle_deadline {\n let _settle_checksum = invoke_workload(&context)?;\n jit.poll();\n before = jit.metrics();\n if before.pending_worker_jobs == 0 && before.pending_snapshot_bytes == 0 {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, tier1_ready_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= tier1_ready_installs,\n \"tier2\" => m.tier2_entries > 0,\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n" +} diff --git a/benchmarks/results/m3-timing-stack-profile.json b/benchmarks/results/m3-timing-stack-profile.json new file mode 100644 index 00000000..c7ae2ea0 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-profile.json @@ -0,0 +1,101 @@ +{ + "schema": "jit-timing-stack-perf-diagnostic-v1", + "status": "complete", + "cpu_affinity": [ + 0 + ], + "perf_version": "7.2-1", + "command": "LD_LIBRARY_PATH=/tmp/jit-perf-root/usr/lib taskset -c 0 /tmp/jit-perf-root/usr/bin/perf record -e cycles:u -F 4999 --call-graph dwarf,8192 -o -- worker --mode tier1 --script /tmp/jit-generic-call-profile.js", + "report_command": "perf report --stdio --no-children --sort symbol --percent-limit <1 or 2> -i --call-graph none --column-widths 12,140", + "scope": "Self sampled cycles, including setup/compilation/warmup. Enlarged profiling-only workload; not a speed acceptance benchmark. Raw perf.data remains temporary and is not archived.", + "script_source": "// A Bool parameter excludes the numeric direct-call signature. Keep the\n// callee short so this measures the generic CALL/entry boundary in a batch.\nfunction incrementIf(value, enabled) {\n if (enabled) return value + 1;\n return value;\n}\n\nglobalThis.workloadArgument = incrementIf;\nglobalThis.tier1ReadyInstalls = 2;\n\nfunction workload(iterations, seed, target) {\n iterations *= 100;\n let value = seed;\n for (let i = 0; i < iterations; i++) {\n value = target(value, true);\n }\n return value;\n}\n", + "candidate_source_diff_sha256": "1d9efd1d0e9169d16f1d3a1f1b5bc97d4df51c113d58a56d7c3d15a0d462e956", + "before": { + "binary_sha256": "b47e850e2a4e7c1225cf2c81c0285d6d236442dca6ed67a8fe2d1306e5c7fe0b", + "samples": 6920, + "lost_samples": 0, + "worker": { + "elapsed_ns": 1057735276, + "checksum": "number:41086a0000000000", + "native_entries": 2598894, + "native_acquisitions": 82649, + "native_exits": 2598894, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 0, + "deopts": 0, + "osr_attempts": 1, + "profitability_evaluations": 0, + "profitability_approved": 0, + "profitability_rejected": 0, + "benefit_recordings": 0, + "measured_benefit_ns": 0, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 2791364826085307866, + "config_fingerprint": 11279985022024356426, + "peak_rss_bytes": 10211328, + "code_bytes": 23168, + "metadata_bytes": 5516, + "active_ir_bytes": 1815, + "automatic_ready": true, + "phases": { + "total_ns": 1385551665, + "runtime_create_ns": 31337, + "jit_attach_ns": 72403, + "context_create_ns": 113729, + "definition_eval_ns": 56014, + "first_eval_ns": 115463663, + "threshold_crossing_ns": 105812908, + "compile_ns": 10852567, + "install_ns": 54436, + "osr_ns": 0, + "steady_state_ns": 1057735276 + } + }, + "report": "# To display the perf.data header info, please use --header/--header-only options.\n#\n#\n# Total Lost Samples: 0\n#\n# Samples: 6K of event 'cpu_core/cycles/u'\n# Event count (approx.): 7203361309\n#\n# Overhead Symbol IPC [IPC Coverage]\n# ............ ............................................................................................................................................ ....................\n#\n 18.24% [.] qjsjit_validate_helper_frame - - \n 12.60% [.] ::write - - \n 8.42% [.] ::observe_type - - \n 8.41% [.] ::tier_state - - \n 7.98% [.] ::hash_one::<&rquickjs_jit::runtime::coordinator::FunctionKey> - - \n 5.94% [.] ::native_exit - - \n 5.22% [.] JS_CallInternal - - \n 3.42% [.] __vdso_clock_gettime - - \n 3.38% [.] ::publish_metrics - - \n 2.72% [.] ::hash_one::<&(rquickjs_jit::runtime::coordinator::FunctionKey, rquickjs_jit: - - \n 2.62% [.] rquickjs_jit::production_entry_trampoline - - \n 2.13% [.] ::native_enter - - \n 2.12% [.] ::record_hot - - \n 2.11% [.] ::observe_call - - \n\n\n#\n# (Cannot load tips.txt file, please install perf!)\n#\n" + }, + "after": { + "binary_sha256": "8b378fd950fdd45cd0227307b58a5d5c37123f18a60712eaf5cba6ee6c5ece5b", + "samples": 6644, + "lost_samples": 0, + "worker": { + "elapsed_ns": 1016199522, + "checksum": "number:41086a0000000000", + "native_entries": 2599217, + "native_acquisitions": 82679, + "native_exits": 2599217, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 0, + "deopts": 0, + "osr_attempts": 1, + "profitability_evaluations": 0, + "profitability_approved": 0, + "profitability_rejected": 0, + "benefit_recordings": 0, + "measured_benefit_ns": 0, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 2791364826085307866, + "config_fingerprint": 11279985022024356426, + "peak_rss_bytes": 10199040, + "code_bytes": 23168, + "metadata_bytes": 5516, + "active_ir_bytes": 1815, + "automatic_ready": true, + "phases": { + "total_ns": 1330089890, + "runtime_create_ns": 34726, + "jit_attach_ns": 70092, + "context_create_ns": 121267, + "definition_eval_ns": 61756, + "first_eval_ns": 111927445, + "threshold_crossing_ns": 100944572, + "compile_ns": 11536960, + "install_ns": 53180, + "osr_ns": 0, + "steady_state_ns": 1016199522 + } + }, + "report": "# To display the perf.data header info, please use --header/--header-only options.\n#\n#\n# Total Lost Samples: 0\n#\n# Samples: 6K of event 'cpu_core/cycles/u'\n# Event count (approx.): 6908949406\n#\n# Overhead Symbol IPC [IPC Coverage]\n# ............ ............................................................................................................................................ ....................\n#\n 19.23% [.] qjsjit_validate_helper_frame - - \n 11.53% [.] ::write - - \n 8.94% [.] ::observe_type - - \n 8.61% [.] ::tier_state - - \n 6.85% [.] ::hash_one::<&rquickjs_jit::runtime::coordinator::FunctionKey> - - \n 5.51% [.] JS_CallInternal - - \n 4.86% [.] ::native_exit - - \n 3.82% [.] __vdso_clock_gettime - - \n 3.47% [.] ::publish_metrics - - \n 2.85% [.] ::hash_one::<&(rquickjs_jit::runtime::coordinator::FunctionKey, rquickjs_jit: - - \n 2.66% [.] ::observe_call - - \n 2.37% [.] rquickjs_jit::production_entry_trampoline - - \n 2.08% [.] ::record_hot - - \n\n\n#\n# (Cannot load tips.txt file, please install perf!)\n#\n" + } +} diff --git a/benchmarks/results/m3-timing-stack-scalar-loop-paired.json b/benchmarks/results/m3-timing-stack-scalar-loop-paired.json new file mode 100644 index 00000000..94360325 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-scalar-loop-paired.json @@ -0,0 +1,14699 @@ +{ + "schema": "jit-timing-stack-paired-diagnostic-v1", + "workload": "scalar-loop", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T12:40:49Z", + "driver_sha256": "f56d9bdf081d691553b9dc968823f6eedae86e1af8ad48e8da6a9cc83acada28", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/scalar-loop.js", + "script_sha256": "db9037d16bf51a21a033ddc5901eac1a70a80c51628a5a5a937327faf0ed8a45", + "executables": { + "reference": { + "path": "/tmp/jit-call-reference/jit-bench", + "sha256": "0dabbbd9e86fcbfd9b8a811fc843040fdfaa266f583d9b48ab9e61df3d74fed2" + }, + "entry_cache": { + "path": "/tmp/jit-timing-stack-baseline/jit-bench", + "sha256": "b47e850e2a4e7c1225cf2c81c0285d6d236442dca6ed67a8fe2d1306e5c7fe0b" + }, + "candidate": { + "path": "/home/jason/work/quickjs-jit/target/release/jit-bench", + "sha256": "8b378fd950fdd45cd0227307b58a5d5c37123f18a60712eaf5cba6ee6c5ece5b" + } + }, + "candidate_revision": "a38bd0142d90c1620ed256aab9c677e6694f2dcb", + "source_dirty": true, + "warmup_processes_per_engine_and_mode": 5, + "fresh_process_pairs_per_mode": 30, + "throughput_windows_per_engine_and_mode": 10, + "throughput_window_min_ns": 1000000000, + "throughput_unit": "fresh jit-bench worker processes including setup and warmup", + "bootstrap_resamples": 10000, + "pairs": { + "interpreter": [ + { + "pair_index": 0, + "reference": { + "elapsed_ns": 608320, + "checksum": "number:413e809800000000", + "native_entries": 0, + "native_exits": 0, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 0, + "deopts": 0, + "osr_attempts": 0, + "profitability_evaluations": 0, + "profitability_approved": 0, + "profitability_rejected": 0, + "benefit_recordings": 0, + "measured_benefit_ns": 0, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 13679397027108370200, + "config_fingerprint": 12357534117174366029, + "peak_rss_bytes": 4874240, + "code_bytes": 0, + "metadata_bytes": 0, + "active_ir_bytes": 0, + "automatic_ready": true, + "phases": { + "total_ns": 962383, + "runtime_create_ns": 27074, + "jit_attach_ns": 40, + "context_create_ns": 99186, + "definition_eval_ns": 22129, + "first_eval_ns": 64589, + "threshold_crossing_ns": 62543, + "compile_ns": 0, + "install_ns": 0, + "osr_ns": 0, + "steady_state_ns": 608320 + } + }, + "entry_cache": { + "elapsed_ns": 612039, + "checksum": "number:413e809800000000", + "native_entries": 0, + "native_acquisitions": 0, + "native_exits": 0, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 0, + "deopts": 0, + "osr_attempts": 0, + "profitability_evaluations": 0, + "profitability_approved": 0, + 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"tier2": { + "reference": { + "baseline_median_ns": 28141.0, + "candidate_median_ns": 27003.0, + "candidate_speed_relative_to_baseline": 1.042143465540866, + "paired_bootstrap_speed_ci95": [ + 1.0313479049486085, + 1.0711285406289495 + ], + "statistically_tied": false + }, + "entry_cache": { + "baseline_median_ns": 27607.5, + "candidate_median_ns": 27003.0, + "candidate_speed_relative_to_baseline": 1.0223864015109432, + "paired_bootstrap_speed_ci95": [ + 1.0094518995210062, + 1.0403100488382417 + ], + "statistically_tied": false + } + }, + "automatic": { + "reference": { + "baseline_median_ns": 28143.5, + "candidate_median_ns": 27054.0, + "candidate_speed_relative_to_baseline": 1.040271309233385, + "paired_bootstrap_speed_ci95": [ + 1.0290757665094339, + 1.0514049955396967 + ], + "statistically_tied": false + }, + "entry_cache": { + "baseline_median_ns": 27405.0, + "candidate_median_ns": 27054.0, + "candidate_speed_relative_to_baseline": 1.0129740518962076, + "paired_bootstrap_speed_ci95": [ + 1.0055178268251272, + 1.019706997843385 + ], + "statistically_tied": false + } + } + }, + "implementations": { + "reference": "M2 runtime at 2bd518e with generic-call benchmark registration", + "entry_cache": "Merged M3 baseline a38bd01, including PC cursor, CALL feedback reuse and entry cache; legacy driver key does not mean cache-only", + "candidate": "a38bd01 plus embedded jit/src/lib.rs source diff: one LIFO native-execution timing stack" + }, + "candidate_source_diff": "diff --git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "candidate_source_diff_sha256": "1d9efd1d0e9169d16f1d3a1f1b5bc97d4df51c113d58a56d7c3d15a0d462e956", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "driver_source": "\"\"\"Diagnostic paired revision comparison using the unchanged jit-bench worker ABI.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'reference': Path('/tmp/jit-call-reference/jit-bench'),\n 'entry_cache': Path('/tmp/jit-timing-stack-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair + index):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n row = {'pair_index': pair}\n for engine in rotated(list(ENGINES), pair + index):\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n for engine in rotated(list(ENGINES), window + index):\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['reference', 'entry_cache']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source revision diagnostic, not a clean-source acceptance matrix. CPU 0 pinned; other local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations. The original forced-Tier2 readiness rule can begin timing before its caller is published. These Tier2 rows do not establish settled steady-state speed; retain raw bimodal samples and use the corrected-harness comparison for conclusions. Some benchmark regression-test compilation overlapped these control runs after the readiness defect was discovered.", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, tier1_ready_installs)\n || (mode != \"automatic\"\n && before.blacklisted > 0\n && before.pending_worker_jobs == 0)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Automatic tiering may queue one more version right after its first\n // Tier 2 entry (a side path or a refreshed caller). Let that bounded tail\n // of compilation settle before the steady state is timed; a sample whose\n // compilation never settles is still rejected below.\n if let Some(jit) = &jit {\n if mode == \"automatic\" {\n let settle_deadline = Instant::now() + Duration::from_secs(1);\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < settle_deadline {\n let _settle_checksum = invoke_workload(&context)?;\n jit.poll();\n before = jit.metrics();\n if before.pending_worker_jobs == 0 && before.pending_snapshot_bytes == 0 {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, tier1_ready_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= tier1_ready_installs,\n \"tier2\" => m.tier2_entries > 0,\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n" +} diff --git a/benchmarks/results/m3-timing-stack-settled-call-heavy-paired.json b/benchmarks/results/m3-timing-stack-settled-call-heavy-paired.json new file mode 100644 index 00000000..da7932e8 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-settled-call-heavy-paired.json @@ -0,0 +1,10656 @@ +{ + "schema": "jit-timing-stack-settled-paired-diagnostic-v1", + "workload": "call-heavy", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T13:57:07Z", + "driver_sha256": "e17afcdd69ba4b493e1955359b7b6a031025c4d8e84d59521de4fd87a5bf4548", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/call-heavy.js", + "script_sha256": "a6cc40c5fb963f376a4fd35469a59a23b37420c564756319bc6d9c19b35f8fb0", + "executables": { + "baseline": { + "path": "/tmp/jit-timing-stack-settled-baseline/jit-bench", + "sha256": "06ff0b266112fe00e5a685f89dbbd2cc9167836efda860cab6d8e8b624fa8f61" + }, + "candidate": { + "path": "/home/jason/work/quickjs-jit/target/release/jit-bench", + "sha256": "abe7c1d8ffee2be74ed5f64ef5796c3315ff2a5010ede66608ee9044e4a8bcef" + } + }, + "candidate_revision": "a38bd0142d90c1620ed256aab9c677e6694f2dcb", + "source_dirty": true, + "harness_sha256": "121aa51f7b138a8b7b9f357dec3b037710d6053d1f152b4b8f2713421c087fff", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let tier2_ready_installs = context\n .with(|ctx| ctx.eval::, _>(\n \"typeof globalThis.tier2ReadyInstalls === 'number' ? globalThis.tier2ReadyInstalls : undefined\",\n ))\n .map_err(err)?;\n let required_installs = if mode == \"tier2\" {\n tier2_ready_installs.unwrap_or(1)\n } else {\n tier1_ready_installs\n };\n let required_tier2 = mode == \"tier2\" && tier2_ready_installs.is_some();\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, required_installs)\n || blacklist_can_end_warmup(mode, &before, required_tier2)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Both optimized modes can publish a leaf before its caller is ready.\n // Execute the workload while draining the bounded tail of compilation.\n let mut settled = true;\n if let Some(jit) = &jit {\n if matches!(mode, \"tier2\" | \"automatic\") {\n (before, settled) = settle_compilation(&context, jit, Duration::from_secs(1))?;\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let steady_start = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if required_tier2\n && (!settled\n || !native_ready(\"tier2\", &steady_start, required_installs)\n || !compilation_quiet(&before, &steady_start))\n {\n return Err(\"required Tier2 publications did not settle before timing\".into());\n }\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n if required_tier2 {\n let steady_end = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if !compilation_quiet(&steady_start, &steady_end) {\n return Err(\"required Tier2 benchmark compiled during steady-state timing\".into());\n }\n }\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, required_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= required_installs,\n \"tier2\" => {\n m.tier2_entries > 0\n && m.installed >= required_installs\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n }\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn blacklist_can_end_warmup(\n mode: &str,\n m: &rquickjs_jit::JitMetrics,\n required_tier2: bool,\n) -> bool {\n mode != \"automatic\"\n && !required_tier2\n && m.blacklisted > 0\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n}\n\nfn compilation_quiet(before: &rquickjs_jit::JitMetrics, after: &rquickjs_jit::JitMetrics) -> bool {\n after.pending_worker_jobs == 0\n && after.pending_snapshot_bytes == 0\n && after.installed == before.installed\n && after.snapshot_requests == before.snapshot_requests\n}\n\nfn settle_compilation(\n context: &Context,\n jit: &Jit,\n timeout: Duration,\n) -> Result<(rquickjs_jit::JitMetrics, bool), String> {\n let deadline = Instant::now() + timeout;\n let mut before = jit.metrics();\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < deadline {\n invoke_workload(context)?;\n jit.poll();\n let after = jit.metrics();\n if compilation_quiet(&before, &after) {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n before = after;\n }\n Ok((before, quiet_polls >= 3))\n}\n\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn forced_tier2_warmup_waits_for_the_required_publications_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.installed = 3;\n // The optimized leaf is not evidence that its caller is ready.\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.installed = 4;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"tier2\", &metrics, 4));\n }\n\n #[test]\n fn explicit_tier2_requirement_cannot_be_bypassed_by_an_unrelated_blacklist() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.blacklisted = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, true));\n // Unsupported probes without a declaration retain bounded fallback.\n assert!(blacklist_can_end_warmup(\"tier2\", &metrics, false));\n metrics.pending_snapshot_bytes = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, false));\n }\n\n #[test]\n fn compilation_quiet_requires_stable_publications_and_snapshot_requests() {\n let before = rquickjs_jit::JitMetrics::default();\n let mut after = before.clone();\n assert!(compilation_quiet(&before, &after));\n after.installed = 1;\n assert!(!compilation_quiet(&before, &after));\n after.installed = 0;\n after.snapshot_requests = 1;\n assert!(!compilation_quiet(&before, &after));\n after.snapshot_requests = 0;\n after.pending_worker_jobs = 1;\n assert!(!compilation_quiet(&before, &after));\n after.pending_worker_jobs = 0;\n after.pending_snapshot_bytes = 1;\n assert!(!compilation_quiet(&before, &after));\n }\n\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn forced_tier2_direct_call_probe_is_quiet_and_direct_during_steady_execution() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source =\n fs::read(Path::new(env!(\"CARGO_MANIFEST_DIR\")).join(\"scripts/call-heavy.js\")).unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let required = context\n .with(|ctx| ctx.eval::(\"globalThis.tier2ReadyInstalls\"))\n .unwrap();\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if native_ready(\"tier2\", &jit.metrics(), required) {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n let (before, settled) =\n settle_compilation(&context, &jit, Duration::from_secs(60)).unwrap();\n assert!(\n settled && native_ready(\"tier2\", &before, required),\n \"{before:?}\"\n );\n for _ in 0..10 {\n invoke_workload(&context).unwrap();\n jit.poll();\n }\n let after = jit.metrics();\n assert!(compilation_quiet(&before, &after));\n let entries = after.tier2_entries - before.tier2_entries;\n assert!(\n (10..=20).contains(&entries),\n \"steady Tier2 entries: {entries}\"\n );\n assert_eq!(after.native_fallbacks, before.native_fallbacks);\n assert_eq!(after.native_retries, before.native_retries);\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n", + "suites_lock_sha256": "84c026c6e06a7a2cfd5a91901e7e5a4ff6e7753c187866016947c2dda96d55b4", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "candidate_runtime_diff": "diff --git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "script_source": "// Focused monomorphic-call kernel with stable target, arity, and value types.\nfunction increment(value, delta) {\n return value + delta;\n}\n\nglobalThis.workloadArgument = increment;\n// The leaf, initial caller, and 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+ "fallbacks": 0, + "retries": 0, + "tier2_entries": 2015, + "deopts": 0, + "osr_attempts": 0, + "profitability_evaluations": 5, + "profitability_approved": 0, + "profitability_rejected": 5, + "benefit_recordings": 1994, + "measured_benefit_ns": 13358126, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 2791364826085307866, + "config_fingerprint": 4005702742960461327, + "peak_rss_bytes": 11034624, + "code_bytes": 36429, + "metadata_bytes": 11716, + "active_ir_bytes": 2805, + "automatic_ready": true, + "phases": { + "total_ns": 18631432, + "runtime_create_ns": 24471, + "jit_attach_ns": 48051, + "context_create_ns": 99191, + "definition_eval_ns": 44062, + "first_eval_ns": 775634, + "threshold_crossing_ns": 17270065, + "compile_ns": 15811206, + "install_ns": 103704, + "osr_ns": 0, + "steady_state_ns": 317286 + } + } + }, + { + "pair_index": 29, + "engine_order": [ + "candidate", + "baseline" + ], + "candidate": { + "elapsed_ns": 326466, + "checksum": "number:40bb580000000000", + "native_entries": 2110, + "native_acquisitions": 85, + "native_exits": 2110, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 2015, + "deopts": 0, + "osr_attempts": 0, + "profitability_evaluations": 5, + "profitability_approved": 0, + "profitability_rejected": 5, + "benefit_recordings": 2000, + "measured_benefit_ns": 13434949, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 2791364826085307866, + "config_fingerprint": 4005702742960461327, + "peak_rss_bytes": 11198464, + "code_bytes": 36429, + "metadata_bytes": 11716, + "active_ir_bytes": 2805, + "automatic_ready": true, + "phases": { + "total_ns": 18672518, + "runtime_create_ns": 27397, + "jit_attach_ns": 56402, + "context_create_ns": 109938, + "definition_eval_ns": 55784, + "first_eval_ns": 810270, + "threshold_crossing_ns": 17231803, + "compile_ns": 15605276, + "install_ns": 76623, + "osr_ns": 0, + "steady_state_ns": 326466 + } + }, + "baseline": { + "elapsed_ns": 318925, + "checksum": "number:40bb580000000000", + "native_entries": 2110, + "native_acquisitions": 85, + "native_exits": 2110, + "fallbacks": 0, + "retries": 0, + "tier2_entries": 2015, + "deopts": 0, + "osr_attempts": 0, + "profitability_evaluations": 5, + "profitability_approved": 0, + "profitability_rejected": 5, + "benefit_recordings": 1995, + "measured_benefit_ns": 13945203, + "opcode_fingerprint": 420453823952306295, + "abi_fingerprint": 2791364826085307866, + "config_fingerprint": 4005702742960461327, + "peak_rss_bytes": 10842112, + "code_bytes": 36429, + "metadata_bytes": 11716, + "active_ir_bytes": 2805, + "automatic_ready": true, + "phases": { + "total_ns": 18812711, + "runtime_create_ns": 23068, + "jit_attach_ns": 56822, + "context_create_ns": 103217, + "definition_eval_ns": 48646, + "first_eval_ns": 747511, + "threshold_crossing_ns": 17457850, + "compile_ns": 16234256, + "install_ns": 74216, + "osr_ns": 0, + "steady_state_ns": 318925 + } + } + } + ] + }, + "throughput": { + "interpreter": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 272, + "elapsed_ns": 1000722444 + }, + { + "window_index": 1, + "fresh_workers": 271, + "elapsed_ns": 1001804295 + }, + { + "window_index": 2, + "fresh_workers": 269, + "elapsed_ns": 1002592066 + }, + { + "window_index": 3, + "fresh_workers": 268, + "elapsed_ns": 1000794358 + }, + { + "window_index": 4, + "fresh_workers": 270, + "elapsed_ns": 1002116961 + }, + { + "window_index": 5, + "fresh_workers": 261, + "elapsed_ns": 1001951505 + }, + { + "window_index": 6, + "fresh_workers": 267, + "elapsed_ns": 1000204346 + }, + { + "window_index": 7, + "fresh_workers": 268, + "elapsed_ns": 1000288313 + }, + { + "window_index": 8, + "fresh_workers": 265, + "elapsed_ns": 1002146989 + }, + { + "window_index": 9, + "fresh_workers": 272, + "elapsed_ns": 1001325537 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 280, + "elapsed_ns": 1003666969 + }, + { + "window_index": 1, + "fresh_workers": 270, + "elapsed_ns": 1003552472 + }, + { + "window_index": 2, + "fresh_workers": 274, + "elapsed_ns": 1000300205 + }, + { + "window_index": 3, + "fresh_workers": 266, + "elapsed_ns": 1001046173 + }, + { + "window_index": 4, + "fresh_workers": 263, + "elapsed_ns": 1001015598 + }, + { + "window_index": 5, + "fresh_workers": 267, + "elapsed_ns": 1001759518 + }, + { + "window_index": 6, + "fresh_workers": 277, + "elapsed_ns": 1002226543 + }, + { + "window_index": 7, + "fresh_workers": 268, + "elapsed_ns": 1001211150 + }, + { + "window_index": 8, + "fresh_workers": 269, + "elapsed_ns": 1002582793 + }, + { + "window_index": 9, + "fresh_workers": 266, + "elapsed_ns": 1000625836 + } + ] + }, + "tier1": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 30, + "elapsed_ns": 1000071730 + }, + { + "window_index": 1, + "fresh_workers": 31, + "elapsed_ns": 1034610381 + }, + { + "window_index": 2, + "fresh_workers": 31, + "elapsed_ns": 1030960244 + }, + { + "window_index": 3, + "fresh_workers": 30, + "elapsed_ns": 1028142380 + }, + { + "window_index": 4, + "fresh_workers": 30, + "elapsed_ns": 1001607427 + }, + { + "window_index": 5, + "fresh_workers": 30, + "elapsed_ns": 1007674462 + }, + { + "window_index": 6, + "fresh_workers": 30, + "elapsed_ns": 1008288663 + }, + { + "window_index": 7, + "fresh_workers": 31, + "elapsed_ns": 1027807138 + }, + { + "window_index": 8, + "fresh_workers": 30, + "elapsed_ns": 1004245410 + }, + { + "window_index": 9, + "fresh_workers": 30, + "elapsed_ns": 1006420751 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 31, + "elapsed_ns": 1016276818 + }, + { + "window_index": 1, + "fresh_workers": 20, + "elapsed_ns": 2629708049 + }, + { + "window_index": 2, + "fresh_workers": 30, + "elapsed_ns": 1008100838 + }, + { + "window_index": 3, + "fresh_workers": 30, + "elapsed_ns": 1003333932 + }, + { + "window_index": 4, + "fresh_workers": 30, + "elapsed_ns": 1017398046 + }, + { + "window_index": 5, + "fresh_workers": 30, + "elapsed_ns": 1000028622 + }, + { + "window_index": 6, + "fresh_workers": 30, + "elapsed_ns": 1005774698 + }, + { + "window_index": 7, + "fresh_workers": 31, + "elapsed_ns": 1031132369 + }, + { + "window_index": 8, + "fresh_workers": 31, + "elapsed_ns": 1028271218 + }, + { + "window_index": 9, + "fresh_workers": 31, + "elapsed_ns": 1027610781 + } + ] + }, + "tier2": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 46, + "elapsed_ns": 1018568107 + }, + { + "window_index": 1, + "fresh_workers": 46, + "elapsed_ns": 1020466123 + }, + { + "window_index": 2, + "fresh_workers": 46, + "elapsed_ns": 1017795943 + }, + { + "window_index": 3, + "fresh_workers": 45, + "elapsed_ns": 1000917423 + }, + { + "window_index": 4, + "fresh_workers": 46, + "elapsed_ns": 1016472499 + }, + { + "window_index": 5, + "fresh_workers": 45, + "elapsed_ns": 1013011903 + }, + { + "window_index": 6, + "fresh_workers": 45, + "elapsed_ns": 1007504747 + }, + { + "window_index": 7, + "fresh_workers": 45, + "elapsed_ns": 1000281623 + }, + { + "window_index": 8, + "fresh_workers": 45, + "elapsed_ns": 1004193079 + }, + { + "window_index": 9, + "fresh_workers": 45, + "elapsed_ns": 1020084778 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 46, + "elapsed_ns": 1000501189 + }, + { + "window_index": 1, + "fresh_workers": 46, + "elapsed_ns": 1003837546 + }, + { + "window_index": 2, + "fresh_workers": 46, + "elapsed_ns": 1000041411 + }, + { + "window_index": 3, + "fresh_workers": 47, + "elapsed_ns": 1013787182 + }, + { + "window_index": 4, + "fresh_workers": 45, + "elapsed_ns": 1004150402 + }, + { + "window_index": 5, + "fresh_workers": 46, + "elapsed_ns": 1009948668 + }, + { + "window_index": 6, + "fresh_workers": 44, + "elapsed_ns": 1002928635 + }, + { + "window_index": 7, + "fresh_workers": 47, + "elapsed_ns": 1017003751 + }, + { + "window_index": 8, + "fresh_workers": 45, + "elapsed_ns": 1051189964 + }, + { + "window_index": 9, + "fresh_workers": 46, + "elapsed_ns": 1010910872 + } + ] + }, + "automatic": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 46, + "elapsed_ns": 1009828188 + }, + { + "window_index": 1, + "fresh_workers": 47, + "elapsed_ns": 1015812166 + }, + { + "window_index": 2, + "fresh_workers": 47, + "elapsed_ns": 1010954090 + }, + { + "window_index": 3, + "fresh_workers": 46, + "elapsed_ns": 1008112136 + }, + { + "window_index": 4, + "fresh_workers": 45, + "elapsed_ns": 1031367472 + }, + { + "window_index": 5, + "fresh_workers": 46, + "elapsed_ns": 1008910530 + }, + { + "window_index": 6, + "fresh_workers": 46, + "elapsed_ns": 1005178246 + }, + { + "window_index": 7, + "fresh_workers": 46, + "elapsed_ns": 1000809388 + }, + { + "window_index": 8, + "fresh_workers": 46, + "elapsed_ns": 1007038305 + }, + { + "window_index": 9, + "fresh_workers": 45, + "elapsed_ns": 1021925550 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 46, + "elapsed_ns": 1004879609 + }, + { + "window_index": 1, + "fresh_workers": 46, + "elapsed_ns": 1010898849 + }, + { + "window_index": 2, + "fresh_workers": 46, + "elapsed_ns": 1006817011 + }, + { + "window_index": 3, + "fresh_workers": 46, + "elapsed_ns": 1017204833 + }, + { + "window_index": 4, + "fresh_workers": 46, + "elapsed_ns": 1028171246 + }, + { + "window_index": 5, + "fresh_workers": 46, + "elapsed_ns": 1019393355 + }, + { + "window_index": 6, + "fresh_workers": 46, + "elapsed_ns": 1011601964 + }, + { + "window_index": 7, + "fresh_workers": 46, + "elapsed_ns": 1017150395 + }, + { + "window_index": 8, + "fresh_workers": 47, + "elapsed_ns": 1020300194 + }, + { + "window_index": 9, + "fresh_workers": 46, + "elapsed_ns": 1019057327 + } + ] + } + }, + "summary": { + "interpreter": { + "baseline": { + "baseline_median_ns": 1393720.5, + "candidate_median_ns": 1411119.5, + "candidate_speed_relative_to_baseline": 0.9876700732999579, + "paired_bootstrap_speed_ci95": [ + 0.9781854954706576, + 1.0029086367833147 + ], + "statistically_tied": true + } + }, + "tier1": { + "baseline": { + "baseline_median_ns": 469904.0, + "candidate_median_ns": 472697.0, + "candidate_speed_relative_to_baseline": 0.994091352388528, + "paired_bootstrap_speed_ci95": [ + 0.985482378951652, + 1.0049126276204774 + ], + "statistically_tied": true + } + }, + "tier2": { + "baseline": { + "baseline_median_ns": 317193.0, + "candidate_median_ns": 316960.5, + "candidate_speed_relative_to_baseline": 1.0007335298877935, + "paired_bootstrap_speed_ci95": [ + 0.9968540443392471, + 1.0050280795011741 + ], + "statistically_tied": true + } + }, + "automatic": { + "baseline": { + "baseline_median_ns": 319475.5, + "candidate_median_ns": 317443.5, + "candidate_speed_relative_to_baseline": 1.0064011391003438, + "paired_bootstrap_speed_ci95": [ + 0.9993359612978198, + 1.0123137451470887 + ], + "statistically_tied": true + } + } + }, + "driver_source": "\"\"\"Diagnostic paired revision comparison with identical corrected warmup rules for both runtimes.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-settled-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'baseline': Path('/tmp/jit-timing-stack-settled-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n assert result['checksum'], (engine, mode, result)\n if mode == 'tier1':\n assert result['tier2_entries'] == 0, (engine, mode, result)\n if WORKLOAD in ['scalar-loop', 'call-heavy'] and mode != 'interpreter':\n assert result['native_entries'] > 0, (engine, mode, result)\n if mode in ['tier2', 'automatic']:\n assert result['tier2_entries'] > 0, (engine, mode, result)\n if mode == 'automatic' and result['tier2_entries'] > 0:\n assert result['automatic_ready'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-settled-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'harness_sha256': digest(ROOT / 'benchmarks/run.rs'),\n 'harness_source': (ROOT / 'benchmarks/run.rs').read_text(),\n 'suites_lock_sha256': digest(ROOT / 'benchmarks/suites.lock'),\n 'candidate_runtime_source_sha256': digest(ROOT / 'jit/src/lib.rs'),\n 'candidate_runtime_diff': Path('/tmp/jit-timing-stack.diff').read_text(),\n 'script_source': SCRIPT.read_text(),\n 'comparison': 'merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness',\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'order_policy': 'Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions',\n 'throughput_orders': {mode: [] for mode in MODES},\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n order = rotated(list(ENGINES), pair)\n row = {'pair_index': pair, 'engine_order': order}\n for engine in order:\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n order = rotated(list(ENGINES), window)\n evidence['throughput_orders'][mode].append(order)\n for engine in order:\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nfor mode in MODES:\n for engine in ENGINES:\n assert sum(row['engine_order'][0] == engine for row in evidence['pairs'][mode]) == PAIRS // 2\n assert sum(order[0] == engine for order in evidence['throughput_orders'][mode]) == WINDOWS // 2\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['baseline']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source paired revision diagnostic, not a clean-source acceptance matrix. Baseline is merged M3 a38bd01 runtime, not M2; both runtimes rebuilt with identical corrected harness. CPU 0 pinned, local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations." +} diff --git a/benchmarks/results/m3-timing-stack-settled-fibonacci-recursive-paired.json b/benchmarks/results/m3-timing-stack-settled-fibonacci-recursive-paired.json new file mode 100644 index 00000000..400ae059 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-settled-fibonacci-recursive-paired.json @@ -0,0 +1,10656 @@ +{ + "schema": "jit-timing-stack-settled-paired-diagnostic-v1", + "workload": "fibonacci-recursive", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T14:02:48Z", + "driver_sha256": "e17afcdd69ba4b493e1955359b7b6a031025c4d8e84d59521de4fd87a5bf4548", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/fibonacci-recursive.js", + "script_sha256": "19af48c9602fd18c911d1d19daf48a3608209712f1205e7959680a0bf5fde3a0", + "executables": { + "baseline": { + "path": "/tmp/jit-timing-stack-settled-baseline/jit-bench", + "sha256": "06ff0b266112fe00e5a685f89dbbd2cc9167836efda860cab6d8e8b624fa8f61" + }, + "candidate": { + "path": "/home/jason/work/quickjs-jit/target/release/jit-bench", + "sha256": "abe7c1d8ffee2be74ed5f64ef5796c3315ff2a5010ede66608ee9044e4a8bcef" + } + }, + "candidate_revision": "a38bd0142d90c1620ed256aab9c677e6694f2dcb", + "source_dirty": true, + "harness_sha256": "121aa51f7b138a8b7b9f357dec3b037710d6053d1f152b4b8f2713421c087fff", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let tier2_ready_installs = context\n .with(|ctx| ctx.eval::, _>(\n \"typeof globalThis.tier2ReadyInstalls === 'number' ? globalThis.tier2ReadyInstalls : undefined\",\n ))\n .map_err(err)?;\n let required_installs = if mode == \"tier2\" {\n tier2_ready_installs.unwrap_or(1)\n } else {\n tier1_ready_installs\n };\n let required_tier2 = mode == \"tier2\" && tier2_ready_installs.is_some();\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, required_installs)\n || blacklist_can_end_warmup(mode, &before, required_tier2)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Both optimized modes can publish a leaf before its caller is ready.\n // Execute the workload while draining the bounded tail of compilation.\n let mut settled = true;\n if let Some(jit) = &jit {\n if matches!(mode, \"tier2\" | \"automatic\") {\n (before, settled) = settle_compilation(&context, jit, Duration::from_secs(1))?;\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let steady_start = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if required_tier2\n && (!settled\n || !native_ready(\"tier2\", &steady_start, required_installs)\n || !compilation_quiet(&before, &steady_start))\n {\n return Err(\"required Tier2 publications did not settle before timing\".into());\n }\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n if required_tier2 {\n let steady_end = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if !compilation_quiet(&steady_start, &steady_end) {\n return Err(\"required Tier2 benchmark compiled during steady-state timing\".into());\n }\n }\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, required_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= required_installs,\n \"tier2\" => {\n m.tier2_entries > 0\n && m.installed >= required_installs\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n }\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn blacklist_can_end_warmup(\n mode: &str,\n m: &rquickjs_jit::JitMetrics,\n required_tier2: bool,\n) -> bool {\n mode != \"automatic\"\n && !required_tier2\n && m.blacklisted > 0\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n}\n\nfn compilation_quiet(before: &rquickjs_jit::JitMetrics, after: &rquickjs_jit::JitMetrics) -> bool {\n after.pending_worker_jobs == 0\n && after.pending_snapshot_bytes == 0\n && after.installed == before.installed\n && after.snapshot_requests == before.snapshot_requests\n}\n\nfn settle_compilation(\n context: &Context,\n jit: &Jit,\n timeout: Duration,\n) -> Result<(rquickjs_jit::JitMetrics, bool), String> {\n let deadline = Instant::now() + timeout;\n let mut before = jit.metrics();\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < deadline {\n invoke_workload(context)?;\n jit.poll();\n let after = jit.metrics();\n if compilation_quiet(&before, &after) {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n before = after;\n }\n Ok((before, quiet_polls >= 3))\n}\n\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn forced_tier2_warmup_waits_for_the_required_publications_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.installed = 3;\n // The optimized leaf is not evidence that its caller is ready.\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.installed = 4;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"tier2\", &metrics, 4));\n }\n\n #[test]\n fn explicit_tier2_requirement_cannot_be_bypassed_by_an_unrelated_blacklist() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.blacklisted = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, true));\n // Unsupported probes without a declaration retain bounded fallback.\n assert!(blacklist_can_end_warmup(\"tier2\", &metrics, false));\n metrics.pending_snapshot_bytes = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, false));\n }\n\n #[test]\n fn compilation_quiet_requires_stable_publications_and_snapshot_requests() {\n let before = rquickjs_jit::JitMetrics::default();\n let mut after = before.clone();\n assert!(compilation_quiet(&before, &after));\n after.installed = 1;\n assert!(!compilation_quiet(&before, &after));\n after.installed = 0;\n after.snapshot_requests = 1;\n assert!(!compilation_quiet(&before, &after));\n after.snapshot_requests = 0;\n after.pending_worker_jobs = 1;\n assert!(!compilation_quiet(&before, &after));\n after.pending_worker_jobs = 0;\n after.pending_snapshot_bytes = 1;\n assert!(!compilation_quiet(&before, &after));\n }\n\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn forced_tier2_direct_call_probe_is_quiet_and_direct_during_steady_execution() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source =\n fs::read(Path::new(env!(\"CARGO_MANIFEST_DIR\")).join(\"scripts/call-heavy.js\")).unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let required = context\n .with(|ctx| ctx.eval::(\"globalThis.tier2ReadyInstalls\"))\n .unwrap();\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if native_ready(\"tier2\", &jit.metrics(), required) {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n let (before, settled) =\n settle_compilation(&context, &jit, Duration::from_secs(60)).unwrap();\n assert!(\n settled && native_ready(\"tier2\", &before, required),\n \"{before:?}\"\n );\n for _ in 0..10 {\n invoke_workload(&context).unwrap();\n jit.poll();\n }\n let after = jit.metrics();\n assert!(compilation_quiet(&before, &after));\n let entries = after.tier2_entries - before.tier2_entries;\n assert!(\n (10..=20).contains(&entries),\n \"steady Tier2 entries: {entries}\"\n );\n assert_eq!(after.native_fallbacks, before.native_fallbacks);\n assert_eq!(after.native_retries, before.native_retries);\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n", + "suites_lock_sha256": "84c026c6e06a7a2cfd5a91901e7e5a4ff6e7753c187866016947c2dda96d55b4", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "candidate_runtime_diff": "diff --git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "script_source": "// Deliberately call-heavy recursion probe; currently expected to fail closed.\nfunction fibonacci(n) {\n if (n < 2) return n;\n return fibonacci(n - 1) + fibonacci(n - 2);\n}\n\nfunction workload(_iterations, seed) {\n return fibonacci(20) + seed;\n}\n", + "comparison": "merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness", + "warmup_processes_per_engine_and_mode": 5, + "fresh_process_pairs_per_mode": 30, + "throughput_windows_per_engine_and_mode": 10, + "throughput_window_min_ns": 1000000000, + "throughput_unit": "fresh jit-bench worker processes including setup and warmup", + "bootstrap_resamples": 10000, + "order_policy": "Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions", + "throughput_orders": { + "interpreter": [ + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + 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"elapsed_ns": 2026571911 + } + ] + } + }, + "summary": { + "interpreter": { + "baseline": { + "baseline_median_ns": 12044492.0, + "candidate_median_ns": 12047671.5, + "candidate_speed_relative_to_baseline": 0.9997360900818054, + "paired_bootstrap_speed_ci95": [ + 0.9919363806374621, + 1.0498479023793506 + ], + "statistically_tied": true + } + }, + "tier1": { + "baseline": { + "baseline_median_ns": 127114876.5, + "candidate_median_ns": 123551003.5, + "candidate_speed_relative_to_baseline": 1.0288453585890946, + "paired_bootstrap_speed_ci95": [ + 0.9066175980003056, + 1.1840782030083574 + ], + "statistically_tied": true + } + }, + "tier2": { + "baseline": { + "baseline_median_ns": 12197630.0, + "candidate_median_ns": 12236179.5, + "candidate_speed_relative_to_baseline": 0.9968495476876585, + "paired_bootstrap_speed_ci95": [ + 0.9712925026737176, + 1.0031023963268084 + ], + "statistically_tied": true + } + }, + "automatic": { + "baseline": { + "baseline_median_ns": 12316359.5, + "candidate_median_ns": 12186126.5, + "candidate_speed_relative_to_baseline": 1.0106869890116437, + "paired_bootstrap_speed_ci95": [ + 0.9979554316730601, + 1.231846190332237 + ], + "statistically_tied": true + } + } + }, + "driver_source": "\"\"\"Diagnostic paired revision comparison with identical corrected warmup rules for both runtimes.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-settled-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'baseline': Path('/tmp/jit-timing-stack-settled-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n assert result['checksum'], (engine, mode, result)\n if mode == 'tier1':\n assert result['tier2_entries'] == 0, (engine, mode, result)\n if WORKLOAD in ['scalar-loop', 'call-heavy'] and mode != 'interpreter':\n assert result['native_entries'] > 0, (engine, mode, result)\n if mode in ['tier2', 'automatic']:\n assert result['tier2_entries'] > 0, (engine, mode, result)\n if mode == 'automatic' and result['tier2_entries'] > 0:\n assert result['automatic_ready'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-settled-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'harness_sha256': digest(ROOT / 'benchmarks/run.rs'),\n 'harness_source': (ROOT / 'benchmarks/run.rs').read_text(),\n 'suites_lock_sha256': digest(ROOT / 'benchmarks/suites.lock'),\n 'candidate_runtime_source_sha256': digest(ROOT / 'jit/src/lib.rs'),\n 'candidate_runtime_diff': Path('/tmp/jit-timing-stack.diff').read_text(),\n 'script_source': SCRIPT.read_text(),\n 'comparison': 'merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness',\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'order_policy': 'Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions',\n 'throughput_orders': {mode: [] for mode in MODES},\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n order = rotated(list(ENGINES), pair)\n row = {'pair_index': pair, 'engine_order': order}\n for engine in order:\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n order = rotated(list(ENGINES), window)\n evidence['throughput_orders'][mode].append(order)\n for engine in order:\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nfor mode in MODES:\n for engine in ENGINES:\n assert sum(row['engine_order'][0] == engine for row in evidence['pairs'][mode]) == PAIRS // 2\n assert sum(order[0] == engine for order in evidence['throughput_orders'][mode]) == WINDOWS // 2\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['baseline']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source paired revision diagnostic, not a clean-source acceptance matrix. Baseline is merged M3 a38bd01 runtime, not M2; both runtimes rebuilt with identical corrected harness. CPU 0 pinned, local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations." +} diff --git a/benchmarks/results/m3-timing-stack-settled-generic-call-entry-paired.json b/benchmarks/results/m3-timing-stack-settled-generic-call-entry-paired.json new file mode 100644 index 00000000..5c1e4c39 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-settled-generic-call-entry-paired.json @@ -0,0 +1,10656 @@ +{ + "schema": "jit-timing-stack-settled-paired-diagnostic-v1", + "workload": "generic-call-entry", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T13:58:38Z", + "driver_sha256": "e17afcdd69ba4b493e1955359b7b6a031025c4d8e84d59521de4fd87a5bf4548", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/generic-call-entry.js", + "script_sha256": "1eb475e3de0557bda01a5166e4d782d826f227370c6d4f72e1cb92e330a2cc40", + "executables": { + "baseline": { + "path": "/tmp/jit-timing-stack-settled-baseline/jit-bench", + "sha256": "06ff0b266112fe00e5a685f89dbbd2cc9167836efda860cab6d8e8b624fa8f61" + }, + "candidate": { + "path": "/home/jason/work/quickjs-jit/target/release/jit-bench", + "sha256": "abe7c1d8ffee2be74ed5f64ef5796c3315ff2a5010ede66608ee9044e4a8bcef" + } + }, + "candidate_revision": "a38bd0142d90c1620ed256aab9c677e6694f2dcb", + "source_dirty": true, + "harness_sha256": "121aa51f7b138a8b7b9f357dec3b037710d6053d1f152b4b8f2713421c087fff", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let tier2_ready_installs = context\n .with(|ctx| ctx.eval::, _>(\n \"typeof globalThis.tier2ReadyInstalls === 'number' ? globalThis.tier2ReadyInstalls : undefined\",\n ))\n .map_err(err)?;\n let required_installs = if mode == \"tier2\" {\n tier2_ready_installs.unwrap_or(1)\n } else {\n tier1_ready_installs\n };\n let required_tier2 = mode == \"tier2\" && tier2_ready_installs.is_some();\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, required_installs)\n || blacklist_can_end_warmup(mode, &before, required_tier2)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Both optimized modes can publish a leaf before its caller is ready.\n // Execute the workload while draining the bounded tail of compilation.\n let mut settled = true;\n if let Some(jit) = &jit {\n if matches!(mode, \"tier2\" | \"automatic\") {\n (before, settled) = settle_compilation(&context, jit, Duration::from_secs(1))?;\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let steady_start = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if required_tier2\n && (!settled\n || !native_ready(\"tier2\", &steady_start, required_installs)\n || !compilation_quiet(&before, &steady_start))\n {\n return Err(\"required Tier2 publications did not settle before timing\".into());\n }\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n if required_tier2 {\n let steady_end = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if !compilation_quiet(&steady_start, &steady_end) {\n return Err(\"required Tier2 benchmark compiled during steady-state timing\".into());\n }\n }\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, required_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= required_installs,\n \"tier2\" => {\n m.tier2_entries > 0\n && m.installed >= required_installs\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n }\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn blacklist_can_end_warmup(\n mode: &str,\n m: &rquickjs_jit::JitMetrics,\n required_tier2: bool,\n) -> bool {\n mode != \"automatic\"\n && !required_tier2\n && m.blacklisted > 0\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n}\n\nfn compilation_quiet(before: &rquickjs_jit::JitMetrics, after: &rquickjs_jit::JitMetrics) -> bool {\n after.pending_worker_jobs == 0\n && after.pending_snapshot_bytes == 0\n && after.installed == before.installed\n && after.snapshot_requests == before.snapshot_requests\n}\n\nfn settle_compilation(\n context: &Context,\n jit: &Jit,\n timeout: Duration,\n) -> Result<(rquickjs_jit::JitMetrics, bool), String> {\n let deadline = Instant::now() + timeout;\n let mut before = jit.metrics();\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < deadline {\n invoke_workload(context)?;\n jit.poll();\n let after = jit.metrics();\n if compilation_quiet(&before, &after) {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n before = after;\n }\n Ok((before, quiet_polls >= 3))\n}\n\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn forced_tier2_warmup_waits_for_the_required_publications_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.installed = 3;\n // The optimized leaf is not evidence that its caller is ready.\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.installed = 4;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"tier2\", &metrics, 4));\n }\n\n #[test]\n fn explicit_tier2_requirement_cannot_be_bypassed_by_an_unrelated_blacklist() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.blacklisted = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, true));\n // Unsupported probes without a declaration retain bounded fallback.\n assert!(blacklist_can_end_warmup(\"tier2\", &metrics, false));\n metrics.pending_snapshot_bytes = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, false));\n }\n\n #[test]\n fn compilation_quiet_requires_stable_publications_and_snapshot_requests() {\n let before = rquickjs_jit::JitMetrics::default();\n let mut after = before.clone();\n assert!(compilation_quiet(&before, &after));\n after.installed = 1;\n assert!(!compilation_quiet(&before, &after));\n after.installed = 0;\n after.snapshot_requests = 1;\n assert!(!compilation_quiet(&before, &after));\n after.snapshot_requests = 0;\n after.pending_worker_jobs = 1;\n assert!(!compilation_quiet(&before, &after));\n after.pending_worker_jobs = 0;\n after.pending_snapshot_bytes = 1;\n assert!(!compilation_quiet(&before, &after));\n }\n\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn forced_tier2_direct_call_probe_is_quiet_and_direct_during_steady_execution() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source =\n fs::read(Path::new(env!(\"CARGO_MANIFEST_DIR\")).join(\"scripts/call-heavy.js\")).unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let required = context\n .with(|ctx| ctx.eval::(\"globalThis.tier2ReadyInstalls\"))\n .unwrap();\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if native_ready(\"tier2\", &jit.metrics(), required) {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n let (before, settled) =\n settle_compilation(&context, &jit, Duration::from_secs(60)).unwrap();\n assert!(\n settled && native_ready(\"tier2\", &before, required),\n \"{before:?}\"\n );\n for _ in 0..10 {\n invoke_workload(&context).unwrap();\n jit.poll();\n }\n let after = jit.metrics();\n assert!(compilation_quiet(&before, &after));\n let entries = after.tier2_entries - before.tier2_entries;\n assert!(\n (10..=20).contains(&entries),\n \"steady Tier2 entries: {entries}\"\n );\n assert_eq!(after.native_fallbacks, before.native_fallbacks);\n assert_eq!(after.native_retries, before.native_retries);\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n", + "suites_lock_sha256": "84c026c6e06a7a2cfd5a91901e7e5a4ff6e7753c187866016947c2dda96d55b4", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "candidate_runtime_diff": "diff --git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "script_source": "// A Bool parameter excludes the numeric direct-call signature. Keep the\n// callee short so this measures the generic CALL/entry boundary in a batch.\nfunction incrementIf(value, enabled) {\n if (enabled) return value + 1;\n return value;\n}\n\nglobalThis.workloadArgument = incrementIf;\nglobalThis.tier1ReadyInstalls = 2;\n\nfunction workload(iterations, seed, target) {\n let value = seed;\n for (let i = 0; i < iterations; i++) {\n value = target(value, true);\n }\n return value;\n}\n", + "comparison": "merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness", + "warmup_processes_per_engine_and_mode": 5, + "fresh_process_pairs_per_mode": 30, + "throughput_windows_per_engine_and_mode": 10, + "throughput_window_min_ns": 1000000000, + "throughput_unit": "fresh jit-bench worker processes including setup and warmup", + "bootstrap_resamples": 10000, + "order_policy": "Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions", + "throughput_orders": { + "interpreter": [ + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ] + ], + "tier1": [ + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ] + ], + "tier2": [ + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + "candidate" + ], + [ + "candidate", + "baseline" + ], + [ + "baseline", + 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"window_index": 0, + "fresh_workers": 311, + "elapsed_ns": 1001151138 + }, + { + "window_index": 1, + "fresh_workers": 306, + "elapsed_ns": 1000997992 + }, + { + "window_index": 2, + "fresh_workers": 308, + "elapsed_ns": 1002066868 + }, + { + "window_index": 3, + "fresh_workers": 308, + "elapsed_ns": 1002679404 + }, + { + "window_index": 4, + "fresh_workers": 310, + "elapsed_ns": 1004260657 + }, + { + "window_index": 5, + "fresh_workers": 307, + "elapsed_ns": 1001230235 + }, + { + "window_index": 6, + "fresh_workers": 308, + "elapsed_ns": 1002320588 + }, + { + "window_index": 7, + "fresh_workers": 313, + "elapsed_ns": 1002964261 + }, + { + "window_index": 8, + "fresh_workers": 127, + "elapsed_ns": 1008936938 + }, + { + "window_index": 9, + "fresh_workers": 122, + "elapsed_ns": 1008341458 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 296, + "elapsed_ns": 1001958866 + }, + { + "window_index": 1, + "fresh_workers": 301, + "elapsed_ns": 1000805299 + }, + { + "window_index": 2, + "fresh_workers": 303, + "elapsed_ns": 1001292466 + }, + { + "window_index": 3, + "fresh_workers": 312, + "elapsed_ns": 1002445944 + }, + { + "window_index": 4, + "fresh_workers": 304, + "elapsed_ns": 1004432537 + }, + { + "window_index": 5, + "fresh_workers": 310, + "elapsed_ns": 1000516415 + }, + { + "window_index": 6, + "fresh_workers": 317, + "elapsed_ns": 1001610873 + }, + { + "window_index": 7, + "fresh_workers": 309, + "elapsed_ns": 1002326321 + }, + { + "window_index": 8, + "fresh_workers": 125, + "elapsed_ns": 1000340830 + }, + { + "window_index": 9, + "fresh_workers": 122, + "elapsed_ns": 1002488779 + } + ] + }, + "tier1": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 38, + "elapsed_ns": 1018168887 + }, + { + "window_index": 1, + "fresh_workers": 37, + "elapsed_ns": 1004238988 + }, + { + "window_index": 2, + "fresh_workers": 38, + "elapsed_ns": 1004533633 + }, + { + "window_index": 3, + "fresh_workers": 37, + "elapsed_ns": 1016760039 + }, + { + "window_index": 4, + "fresh_workers": 37, + "elapsed_ns": 1007884599 + }, + { + "window_index": 5, + "fresh_workers": 37, + "elapsed_ns": 1008331242 + }, + { + "window_index": 6, + "fresh_workers": 39, + "elapsed_ns": 1022754723 + }, + { + "window_index": 7, + "fresh_workers": 37, + "elapsed_ns": 1038213592 + }, + { + "window_index": 8, + "fresh_workers": 10, + "elapsed_ns": 1016220777 + }, + { + "window_index": 9, + "fresh_workers": 18, + "elapsed_ns": 1008684849 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 40, + "elapsed_ns": 1004067738 + }, + { + "window_index": 1, + "fresh_workers": 37, + "elapsed_ns": 1007865315 + }, + { + "window_index": 2, + "fresh_workers": 38, + "elapsed_ns": 1010925360 + }, + { + "window_index": 3, + "fresh_workers": 39, + "elapsed_ns": 1004769812 + }, + { + "window_index": 4, + "fresh_workers": 39, + "elapsed_ns": 1016497238 + }, + { + "window_index": 5, + "fresh_workers": 38, + "elapsed_ns": 1016319410 + }, + { + "window_index": 6, + "fresh_workers": 37, + "elapsed_ns": 1003533559 + }, + { + "window_index": 7, + "fresh_workers": 36, + "elapsed_ns": 1007664606 + }, + { + "window_index": 8, + "fresh_workers": 10, + "elapsed_ns": 1042096685 + }, + { + "window_index": 9, + "fresh_workers": 18, + "elapsed_ns": 1026899439 + } + ] + }, + "tier2": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 32, + "elapsed_ns": 1021041365 + }, + { + "window_index": 1, + "fresh_workers": 30, + "elapsed_ns": 1020488927 + }, + { + "window_index": 2, + "fresh_workers": 29, + "elapsed_ns": 1026905043 + }, + { + "window_index": 3, + "fresh_workers": 29, + "elapsed_ns": 1014558822 + }, + { + "window_index": 4, + "fresh_workers": 31, + "elapsed_ns": 1025940456 + }, + { + "window_index": 5, + "fresh_workers": 30, + "elapsed_ns": 1012768496 + }, + { + "window_index": 6, + "fresh_workers": 29, + "elapsed_ns": 1001430766 + }, + { + "window_index": 7, + "fresh_workers": 10, + "elapsed_ns": 1030083130 + }, + { + "window_index": 8, + "fresh_workers": 9, + "elapsed_ns": 1024190051 + }, + { + "window_index": 9, + "fresh_workers": 14, + "elapsed_ns": 1046489459 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 32, + "elapsed_ns": 1035011050 + }, + { + "window_index": 1, + "fresh_workers": 29, + "elapsed_ns": 1005761135 + }, + { + "window_index": 2, + "fresh_workers": 28, + "elapsed_ns": 1009337023 + }, + { + "window_index": 3, + "fresh_workers": 31, + "elapsed_ns": 1021572559 + }, + { + "window_index": 4, + "fresh_workers": 30, + "elapsed_ns": 1016796604 + }, + { + "window_index": 5, + "fresh_workers": 31, + "elapsed_ns": 1017659374 + }, + { + "window_index": 6, + "fresh_workers": 28, + "elapsed_ns": 1001669439 + }, + { + "window_index": 7, + "fresh_workers": 28, + "elapsed_ns": 1018777001 + }, + { + "window_index": 8, + "fresh_workers": 9, + "elapsed_ns": 1037845223 + }, + { + "window_index": 9, + "fresh_workers": 13, + "elapsed_ns": 1052446121 + } + ] + }, + "automatic": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 1, + "elapsed_ns": 2020530203 + }, + { + "window_index": 1, + "fresh_workers": 1, + "elapsed_ns": 2017115521 + }, + { + "window_index": 2, + "fresh_workers": 1, + "elapsed_ns": 2017088032 + }, + { + "window_index": 3, + "fresh_workers": 1, + "elapsed_ns": 2016388201 + }, + { + "window_index": 4, + "fresh_workers": 1, + "elapsed_ns": 2016651901 + }, + { + "window_index": 5, + "fresh_workers": 1, + "elapsed_ns": 2016414388 + }, + { + "window_index": 6, + "fresh_workers": 1, + "elapsed_ns": 2016348851 + }, + { + "window_index": 7, + "fresh_workers": 1, + "elapsed_ns": 2017240912 + }, + { + "window_index": 8, + "fresh_workers": 1, + "elapsed_ns": 2072728458 + }, + { + "window_index": 9, + "fresh_workers": 1, + "elapsed_ns": 2066775908 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 1, + "elapsed_ns": 2016997794 + }, + { + "window_index": 1, + "fresh_workers": 1, + "elapsed_ns": 2017056682 + }, + { + "window_index": 2, + "fresh_workers": 1, + "elapsed_ns": 2016438043 + }, + { + "window_index": 3, + "fresh_workers": 1, + "elapsed_ns": 2016769473 + }, + { + "window_index": 4, + "fresh_workers": 1, + "elapsed_ns": 2016477975 + }, + { + "window_index": 5, + "fresh_workers": 1, + "elapsed_ns": 2018043441 + }, + { + "window_index": 6, + "fresh_workers": 1, + "elapsed_ns": 2016584216 + }, + { + "window_index": 7, + "fresh_workers": 1, + "elapsed_ns": 2016793828 + }, + { + "window_index": 8, + "fresh_workers": 1, + "elapsed_ns": 2038284197 + }, + { + "window_index": 9, + "fresh_workers": 1, + "elapsed_ns": 2023487872 + } + ] + } + }, + "summary": { + "interpreter": { + "baseline": { + "baseline_median_ns": 1090620.0, + "candidate_median_ns": 1085657.5, + "candidate_speed_relative_to_baseline": 1.0045709627575916, + "paired_bootstrap_speed_ci95": [ + 0.9865572918064154, + 1.0180457937374403 + ], + "statistically_tied": true + } + }, + "tier1": { + "baseline": { + "baseline_median_ns": 10384089.0, + "candidate_median_ns": 10224564.0, + "candidate_speed_relative_to_baseline": 1.0156021322767406, + "paired_bootstrap_speed_ci95": [ + 0.6268267216359662, + 1.0399285709233383 + ], + "statistically_tied": true + } + }, + "tier2": { + "baseline": { + "baseline_median_ns": 8908307.0, + "candidate_median_ns": 8850990.0, + "candidate_speed_relative_to_baseline": 1.0064757727666622, + "paired_bootstrap_speed_ci95": [ + 1.0020332360155244, + 1.009823311874776 + ], + "statistically_tied": false + } + }, + "automatic": { + "baseline": { + "baseline_median_ns": 9447049.5, + "candidate_median_ns": 9343137.5, + "candidate_speed_relative_to_baseline": 1.0111217457733015, + "paired_bootstrap_speed_ci95": [ + 1.0000940064384882, + 1.0156459938595452 + ], + "statistically_tied": false + } + } + }, + "driver_source": "\"\"\"Diagnostic paired revision comparison with identical corrected warmup rules for both runtimes.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-settled-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'baseline': Path('/tmp/jit-timing-stack-settled-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n assert result['checksum'], (engine, mode, result)\n if mode == 'tier1':\n assert result['tier2_entries'] == 0, (engine, mode, result)\n if WORKLOAD in ['scalar-loop', 'call-heavy'] and mode != 'interpreter':\n assert result['native_entries'] > 0, (engine, mode, result)\n if mode in ['tier2', 'automatic']:\n assert result['tier2_entries'] > 0, (engine, mode, result)\n if mode == 'automatic' and result['tier2_entries'] > 0:\n assert result['automatic_ready'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-settled-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'harness_sha256': digest(ROOT / 'benchmarks/run.rs'),\n 'harness_source': (ROOT / 'benchmarks/run.rs').read_text(),\n 'suites_lock_sha256': digest(ROOT / 'benchmarks/suites.lock'),\n 'candidate_runtime_source_sha256': digest(ROOT / 'jit/src/lib.rs'),\n 'candidate_runtime_diff': Path('/tmp/jit-timing-stack.diff').read_text(),\n 'script_source': SCRIPT.read_text(),\n 'comparison': 'merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness',\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'order_policy': 'Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions',\n 'throughput_orders': {mode: [] for mode in MODES},\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n order = rotated(list(ENGINES), pair)\n row = {'pair_index': pair, 'engine_order': order}\n for engine in order:\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n order = rotated(list(ENGINES), window)\n evidence['throughput_orders'][mode].append(order)\n for engine in order:\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nfor mode in MODES:\n for engine in ENGINES:\n assert sum(row['engine_order'][0] == engine for row in evidence['pairs'][mode]) == PAIRS // 2\n assert sum(order[0] == engine for order in evidence['throughput_orders'][mode]) == WINDOWS // 2\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['baseline']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source paired revision diagnostic, not a clean-source acceptance matrix. Baseline is merged M3 a38bd01 runtime, not M2; both runtimes rebuilt with identical corrected harness. CPU 0 pinned, local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations." +} diff --git a/benchmarks/results/m3-timing-stack-settled-scalar-loop-paired.json b/benchmarks/results/m3-timing-stack-settled-scalar-loop-paired.json new file mode 100644 index 00000000..fc964876 --- /dev/null +++ b/benchmarks/results/m3-timing-stack-settled-scalar-loop-paired.json @@ -0,0 +1,10656 @@ +{ + "schema": "jit-timing-stack-settled-paired-diagnostic-v1", + "workload": "scalar-loop", + "cpu_affinity": [ + 0 + ], + "status": "complete", + "started_utc": "2026-09-05T14:07:14Z", + "driver_sha256": "e17afcdd69ba4b493e1955359b7b6a031025c4d8e84d59521de4fd87a5bf4548", + "script": "/home/jason/work/quickjs-jit/benchmarks/scripts/scalar-loop.js", + "script_sha256": "db9037d16bf51a21a033ddc5901eac1a70a80c51628a5a5a937327faf0ed8a45", + "executables": { + "baseline": { + "path": "/tmp/jit-timing-stack-settled-baseline/jit-bench", + "sha256": "06ff0b266112fe00e5a685f89dbbd2cc9167836efda860cab6d8e8b624fa8f61" + }, + "candidate": { + "path": "/home/jason/work/quickjs-jit/target/release/jit-bench", + "sha256": "abe7c1d8ffee2be74ed5f64ef5796c3315ff2a5010ede66608ee9044e4a8bcef" + } + }, + "candidate_revision": "a38bd0142d90c1620ed256aab9c677e6694f2dcb", + "source_dirty": true, + "harness_sha256": "121aa51f7b138a8b7b9f357dec3b037710d6053d1f152b4b8f2713421c087fff", + "harness_source": "mod model;\n\nuse model::{\n BenchmarkFile, Exclusion, ModeResult, PhaseTiming, Provenance, SampleEvidence, SamplingPolicy,\n WorkloadResult,\n};\nuse rquickjs::{Context, Function, Runtime, Value};\nuse rquickjs_jit::{abi::AbiInfo, Jit, JitConfig, JitTierPolicy};\nuse serde::{Deserialize, Serialize};\nuse std::{\n collections::BTreeMap,\n env, fs,\n path::{Path, PathBuf},\n process::Command,\n time::{Duration, Instant},\n};\n\nconst DEFAULT_WARMUPS: usize = 5;\nconst DEFAULT_SAMPLES: usize = 30;\nconst DEFAULT_WINDOWS: usize = 10;\nconst DEFAULT_WINDOW_MS: usize = 1_000;\n\n#[derive(Clone, Copy)]\nstruct SamplingConfig {\n warmups: usize,\n samples: usize,\n windows: usize,\n window: Duration,\n}\n\n#[derive(Clone, Copy)]\nstruct Workload {\n name: &'static str,\n suite: &'static str,\n group: &'static str,\n designated: bool,\n file: &'static str,\n}\nconst WORKLOADS: &[Workload] = &[\n Workload {\n name: \"quickjs-int-arith\",\n suite: \"QuickJS microbench\",\n group: \"compute\",\n designated: true,\n file: \"quickjs-int-arith.js\",\n },\n Workload {\n name: \"quickjs-bitops\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-bitops.js\",\n },\n Workload {\n name: \"quickjs-fibonacci\",\n suite: \"rquickjs-jit local\",\n group: \"compute\",\n designated: false,\n file: \"quickjs-fibonacci.js\",\n },\n Workload {\n name: \"numeric\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: true,\n file: \"numeric.js\",\n },\n Workload {\n name: \"scalar-loop\",\n suite: \"rquickjs-jit focused\",\n group: \"scalar-loop\",\n designated: true,\n file: \"scalar-loop.js\",\n },\n Workload {\n name: \"call-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: true,\n file: \"call-heavy.js\",\n },\n Workload {\n name: \"generic-call-entry\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"generic-call-entry.js\",\n },\n Workload {\n name: \"property-heavy\",\n suite: \"rquickjs-jit focused\",\n group: \"property-heavy\",\n designated: true,\n file: \"property-heavy.js\",\n },\n Workload {\n name: \"fibonacci-iterative\",\n suite: \"rquickjs-jit focused\",\n group: \"compute\",\n designated: true,\n file: \"fibonacci-iterative.js\",\n },\n Workload {\n name: \"fibonacci-recursive\",\n suite: \"rquickjs-jit focused\",\n group: \"call-heavy\",\n designated: false,\n file: \"fibonacci-recursive.js\",\n },\n Workload {\n name: \"collections\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"collections.js\",\n },\n Workload {\n name: \"strings-json\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"strings-json.js\",\n },\n Workload {\n name: \"calls-closures\",\n suite: \"rquickjs-jit\",\n group: \"compute\",\n designated: false,\n file: \"calls-closures.js\",\n },\n Workload {\n name: \"adversarial\",\n suite: \"rquickjs-jit\",\n group: \"adversarial\",\n designated: false,\n file: \"adversarial.js\",\n },\n Workload {\n name: \"float64-dense\",\n suite: \"rquickjs-jit matrix\",\n group: \"float64\",\n designated: false,\n file: \"float64-dense.js\",\n },\n Workload {\n name: \"strings-regexp\",\n suite: \"rquickjs-jit matrix\",\n group: \"strings-regexp\",\n designated: false,\n file: \"strings-regexp.js\",\n },\n Workload {\n name: \"arrays-typed\",\n suite: \"rquickjs-jit matrix\",\n group: \"arrays-typed\",\n designated: false,\n file: \"arrays-typed.js\",\n },\n Workload {\n name: \"objects-polymorphic\",\n suite: \"rquickjs-jit matrix\",\n group: \"objects-polymorphic\",\n designated: false,\n file: \"objects-polymorphic.js\",\n },\n Workload {\n name: \"calls-recursion-closures\",\n suite: \"rquickjs-jit matrix\",\n group: \"calls-recursion-closures\",\n designated: false,\n file: \"calls-recursion-closures.js\",\n },\n Workload {\n name: \"json-codec\",\n suite: \"rquickjs-jit matrix\",\n group: \"json-codec\",\n designated: false,\n file: \"json-codec.js\",\n },\n Workload {\n name: \"map-set-bigint\",\n suite: \"rquickjs-jit matrix\",\n group: \"map-set-bigint\",\n designated: false,\n file: \"map-set-bigint.js\",\n },\n Workload {\n name: \"exceptions-promises-async\",\n suite: \"rquickjs-jit matrix\",\n group: \"exceptions-promises-async\",\n designated: false,\n file: \"exceptions-promises-async.js\",\n },\n];\n\n#[derive(Clone, Debug, Deserialize, Serialize)]\nstruct WorkerResult {\n elapsed_ns: u64,\n checksum: String,\n native_entries: u64,\n native_acquisitions: u64,\n native_exits: u64,\n fallbacks: u64,\n retries: u64,\n tier2_entries: u64,\n deopts: u64,\n osr_attempts: u64,\n profitability_evaluations: u64,\n profitability_approved: u64,\n profitability_rejected: u64,\n benefit_recordings: u64,\n measured_benefit_ns: u64,\n opcode_fingerprint: u64,\n abi_fingerprint: u64,\n config_fingerprint: u64,\n peak_rss_bytes: u64,\n code_bytes: u64,\n metadata_bytes: u64,\n active_ir_bytes: u64,\n automatic_ready: bool,\n phases: PhaseTiming,\n}\n\nfn main() {\n if let Err(error) = real_main() {\n eprintln!(\"{error}\");\n std::process::exit(2);\n }\n}\n\nfn real_main() -> Result<(), String> {\n let args = env::args().skip(1).collect::>();\n match args.first().map(String::as_str) {\n Some(\"worker\") => worker(&value(&args,\"--mode\")?, &value(&args,\"--script\")?),\n Some(\"run\") => { let mode=value(&args,\"--mode\")?; write_file(&value(&args,\"--output\")?, measure_interleaved(&[mode])?) }\n Some(\"compare\") => {\n let modes=value(&args,\"--modes\")?.split(',').map(str::to_owned).collect::>();\n let output=value(&args,\"--output\")?; write_file(&output,measure_interleaved(&modes)?)?;\n if let Ok(report)=value(&args,\"--report\") { let status=Command::new(sibling_reporter()?).args([\"--input\",&output,\"--output\",&report]).status().map_err(err)?; if !status.success(){return Err(\"performance gates failed; report contains evidence\".into())} }\n Ok(())\n }\n _ => Err(\"usage: jit-bench run --mode MODE --output FILE | compare --modes ... --output FILE --report FILE\".into()),\n }\n}\n\nfn measure_interleaved(modes: &[String]) -> Result, String> {\n for mode in modes {\n validate_mode(mode)?;\n }\n let executable = env::current_exe().map_err(err)?;\n let mut by_mode: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n let sampling = sampling_config()?;\n let workloads = selected_workloads()?;\n for workload in workloads {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file);\n for round in 0..sampling.warmups {\n for mode in rotated(modes, round) {\n let _ = child(&executable, mode, &path)?;\n }\n }\n let mut samples: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for pair in 0..sampling.samples {\n for mode in rotated(modes, pair) {\n let result = child(&executable, mode, &path)?;\n validate_sample(mode, &result, workload.designated).map_err(|error| {\n format!(\"{} {mode} latency pair {pair}: {error}\", workload.name)\n })?;\n samples\n .get_mut(mode)\n .unwrap()\n .push(evidence_for_mode(mode, pair, result));\n }\n }\n let mut throughput: BTreeMap> =\n modes.iter().map(|m| (m.clone(), Vec::new())).collect();\n for window in 0..sampling.windows {\n for mode in rotated(modes, window) {\n let start = Instant::now();\n let mut ops = 0u64;\n while start.elapsed() < sampling.window {\n validate_sample(mode, &child(&executable, mode, &path)?, workload.designated)\n .map_err(|error| {\n format!(\n \"{} {mode} throughput window {window}: {error}\",\n workload.name\n )\n })?;\n ops = ops.saturating_add(1);\n }\n throughput.get_mut(mode).unwrap().push(ops);\n }\n }\n for mode in modes {\n let mode_samples = samples.remove(mode).unwrap();\n ensure_consistent_samples(mode, &mode_samples)?;\n let raw = mode_samples\n .iter()\n .map(|s| s.elapsed_ns)\n .collect::>();\n let (median, mad, p95, p99, ci) = model::summarize(raw.clone());\n let compile_ns = median_field(&mode_samples, |s| s.phases.compile_ns);\n let install_ns = median_field(&mode_samples, |s| s.phases.install_ns);\n by_mode.get_mut(mode).unwrap().push(WorkloadResult {\n name: workload.name.into(),\n suite: workload.suite.into(),\n group: workload.group.into(),\n designated_kernel: workload.designated,\n samples: mode_samples,\n raw_latency_ns: raw,\n raw_throughput_ops: throughput.remove(mode).unwrap(),\n median_ns: median,\n mad_ns: mad,\n p95_ns: p95,\n p99_ns: p99,\n ci95_ns: ci,\n compile_ns,\n install_ns,\n break_even_executions: None,\n });\n }\n }\n let mut results = by_mode\n .into_iter()\n .map(|(mode, workloads)| ModeResult { mode, workloads })\n .collect::>();\n fill_break_even(&mut results);\n Ok(results)\n}\n\nfn worker(mode: &str, script: &str) -> Result<(), String> {\n validate_mode(mode)?;\n let total = Instant::now();\n let source = fs::read(script).map_err(err)?;\n let mut phases = PhaseTiming::default();\n let start = Instant::now();\n let runtime = Runtime::new().map_err(err)?;\n phases.runtime_create_ns = ns(start.elapsed());\n let start = Instant::now();\n let (jit, config_fingerprint) = if mode == \"interpreter\" {\n (None, hash64(b\"interpreter\"))\n } else {\n let mut builder = JitConfig::builder();\n if matches!(mode, \"tier1\" | \"tier2\") {\n builder = builder.call_threshold(1).loop_threshold(1);\n }\n if mode == \"tier1\" {\n // The second entry freezes the first complete argument/return\n // profile, allowing baseline artifacts to publish a bounded\n // scalar entry for baseline-to-baseline calls.\n builder = builder\n .call_threshold(2)\n .tier_policy(JitTierPolicy::BaselineOnly);\n }\n if mode == \"tier2\" {\n builder = builder\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true);\n }\n let config = builder.build().map_err(err)?;\n let fingerprint = hash64(format!(\"{config:?}\").as_bytes());\n (\n Some(Jit::attach(&runtime, config).map_err(err)?),\n fingerprint,\n )\n };\n phases.jit_attach_ns = ns(start.elapsed());\n let start = Instant::now();\n let context = Context::full(&runtime).map_err(err)?;\n phases.context_create_ns = ns(start.elapsed());\n let start = Instant::now();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .map_err(err)?;\n phases.definition_eval_ns = ns(start.elapsed());\n let tier1_ready_installs = context\n .with(|ctx| {\n ctx.eval::(\n \"typeof globalThis.tier1ReadyInstalls === 'number' ? globalThis.tier1ReadyInstalls : 1\",\n )\n })\n .map_err(err)?;\n let tier2_ready_installs = context\n .with(|ctx| ctx.eval::, _>(\n \"typeof globalThis.tier2ReadyInstalls === 'number' ? globalThis.tier2ReadyInstalls : undefined\",\n ))\n .map_err(err)?;\n let required_installs = if mode == \"tier2\" {\n tier2_ready_installs.unwrap_or(1)\n } else {\n tier1_ready_installs\n };\n let required_tier2 = mode == \"tier2\" && tier2_ready_installs.is_some();\n let start = Instant::now();\n let _first_checksum = invoke_workload(&context)?;\n phases.first_eval_ns = ns(start.elapsed());\n let threshold_start = Instant::now();\n let threshold_deadline = threshold_start + threshold_timeout(mode);\n let mut install_poll = 0u64;\n let mut before = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n loop {\n let _threshold_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n let poll = Instant::now();\n jit.poll();\n let poll_ns = ns(poll.elapsed());\n let now = jit.metrics();\n if now.installed > before.installed {\n install_poll = install_poll.saturating_add(poll_ns);\n }\n before = now;\n // A blacklist is only final for this sample once the worker\n // queue has drained: the one-shot top-level script is rejected\n // on the first poll while the workload's own tiers are still\n // compiling behind it.\n if native_ready(mode, &before, required_installs)\n || blacklist_can_end_warmup(mode, &before, required_tier2)\n {\n break;\n }\n if Instant::now() >= threshold_deadline {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n } else {\n break;\n }\n }\n // Both optimized modes can publish a leaf before its caller is ready.\n // Execute the workload while draining the bounded tail of compilation.\n let mut settled = true;\n if let Some(jit) = &jit {\n if matches!(mode, \"tier2\" | \"automatic\") {\n (before, settled) = settle_compilation(&context, jit, Duration::from_secs(1))?;\n }\n }\n phases.threshold_crossing_ns = ns(threshold_start.elapsed());\n phases.compile_ns = before.compile_ns;\n phases.install_ns = before.install_ns.max(install_poll);\n let osr_before = before.osr_entries;\n let start = Instant::now();\n let _osr_checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n phases.osr_ns = if jit\n .as_ref()\n .is_some_and(|j| j.metrics().osr_entries > osr_before)\n {\n ns(start.elapsed())\n } else {\n 0\n };\n let steady_start = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if required_tier2\n && (!settled\n || !native_ready(\"tier2\", &steady_start, required_installs)\n || !compilation_quiet(&before, &steady_start))\n {\n return Err(\"required Tier2 publications did not settle before timing\".into());\n }\n let start = Instant::now();\n let mut checksum = String::new();\n for _ in 0..10 {\n checksum = invoke_workload(&context)?;\n if let Some(jit) = &jit {\n jit.poll();\n }\n }\n phases.steady_state_ns = ns(start.elapsed());\n if required_tier2 {\n let steady_end = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n if !compilation_quiet(&steady_start, &steady_end) {\n return Err(\"required Tier2 benchmark compiled during steady-state timing\".into());\n }\n }\n // A completion that landed during the last steady-state invocation is\n // drained by polling without further JavaScript execution; the timing\n // above is untouched.\n if let Some(jit) = &jit {\n let drain_deadline = Instant::now() + Duration::from_millis(200);\n loop {\n jit.poll();\n let metrics = jit.metrics();\n if (metrics.pending_worker_jobs == 0 && metrics.pending_snapshot_bytes == 0)\n || Instant::now() >= drain_deadline\n {\n break;\n }\n std::thread::sleep(Duration::from_micros(200));\n }\n }\n let metrics = jit.as_ref().map(Jit::metrics).unwrap_or_default();\n let abi = AbiInfo::linked().map_err(err)?;\n phases.total_ns = ns(total.elapsed());\n let result = WorkerResult {\n elapsed_ns: phases.steady_state_ns,\n checksum,\n native_entries: metrics.native_entries,\n native_acquisitions: metrics.native_acquisitions,\n native_exits: metrics.native_exits,\n fallbacks: metrics.native_fallbacks,\n retries: metrics.native_retries,\n tier2_entries: metrics.tier2_entries,\n deopts: metrics.deopts,\n osr_attempts: metrics.osr_attempts,\n profitability_evaluations: metrics.profitability_evaluations,\n profitability_approved: metrics.profitability_approved,\n profitability_rejected: metrics.profitability_rejected,\n benefit_recordings: metrics.benefit_recordings,\n measured_benefit_ns: metrics.measured_benefit_ns,\n opcode_fingerprint: abi.opcode_fingerprint(),\n abi_fingerprint: abi.source_revision() ^ abi.build_fingerprint(),\n config_fingerprint,\n peak_rss_bytes: worker_peak_rss(),\n code_bytes: metrics.code_bytes as u64,\n metadata_bytes: metrics.metadata_bytes as u64,\n active_ir_bytes: metrics.peak_compiler_bytes as u64,\n automatic_ready: mode != \"automatic\" || native_ready(mode, &metrics, tier1_ready_installs),\n phases,\n };\n println!(\"{}\", serde_json::to_string(&result).map_err(err)?);\n Ok(())\n}\n\nfn invoke_workload(context: &Context) -> Result {\n context\n .with(|ctx| {\n let workload: Function = ctx.globals().get(\"workload\")?;\n // A workload may expose a stable callable/object input without\n // resolving it through a global from inside the measured\n // function. This keeps the benchmark honest about call/property\n // bytecodes while making the function independently tierable.\n let argument: Value = ctx.globals().get(\"workloadArgument\")?;\n let result: Value = if argument.is_undefined() {\n workload.call((2_000, 0))?\n } else {\n workload.call((2_000, 0, argument))?\n };\n let result = if let Some(promise) = result.as_promise() {\n promise.finish::()?\n } else {\n result\n };\n if let Some(number) = result.as_number() {\n Ok(format!(\"number:{:016x}\", number.to_bits()))\n } else if let Some(string) = result.as_string() {\n Ok(format!(\"string:{}\", string.to_string()?))\n } else if let Some(boolean) = result.as_bool() {\n Ok(format!(\"boolean:{boolean}\"))\n } else if result.is_null() {\n Ok(\"null\".into())\n } else if result.is_undefined() {\n Ok(\"undefined\".into())\n } else {\n Err(rquickjs::Error::new_from_js(\n result.type_name(),\n \"benchmark checksum primitive\",\n ))\n }\n })\n .map_err(err)\n}\n\nfn validate_mode(mode: &str) -> Result<(), String> {\n if matches!(\n mode,\n \"interpreter\" | \"tier1\" | \"tier2\" | \"automatic\" | \"bun\"\n ) {\n Ok(())\n } else {\n Err(format!(\"unsupported mode {mode}\"))\n }\n}\n\nfn sampling_config() -> Result {\n Ok(SamplingConfig {\n warmups: positive_env(\"JIT_BENCH_WARMUPS\", DEFAULT_WARMUPS)?,\n samples: positive_env(\"JIT_BENCH_SAMPLES\", DEFAULT_SAMPLES)?,\n windows: positive_env(\"JIT_BENCH_WINDOWS\", DEFAULT_WINDOWS)?,\n window: Duration::from_millis(\n positive_env(\"JIT_BENCH_WINDOW_MS\", DEFAULT_WINDOW_MS)? as u64\n ),\n })\n}\n\nfn positive_env(name: &str, default: usize) -> Result {\n match env::var(name) {\n Ok(value) => value\n .parse::()\n .map_err(|_| format!(\"{name} must be a positive integer\"))\n .and_then(|value| {\n (value > 0)\n .then_some(value)\n .ok_or_else(|| format!(\"{name} must be greater than zero\"))\n }),\n Err(env::VarError::NotPresent) => Ok(default),\n Err(error) => Err(format!(\"cannot read {name}: {error}\")),\n }\n}\n\nfn selected_workloads() -> Result, String> {\n let Ok(filter) = env::var(\"JIT_BENCH_WORKLOADS\") else {\n return Ok(WORKLOADS.iter().collect());\n };\n let names = filter\n .split(',')\n .filter(|name| !name.is_empty())\n .collect::>();\n if names.is_empty() {\n return Err(\"JIT_BENCH_WORKLOADS must name at least one workload\".into());\n }\n let selected = WORKLOADS\n .iter()\n .filter(|workload| names.contains(&workload.name))\n .collect::>();\n if selected.len() != names.len() {\n let unknown = names\n .iter()\n .filter(|name| !WORKLOADS.iter().any(|workload| workload.name == **name))\n .copied()\n .collect::>();\n return Err(format!(\n \"unknown benchmark workload(s): {}\",\n unknown.join(\",\")\n ));\n }\n Ok(selected)\n}\nfn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, required_installs: u64) -> bool {\n match mode {\n \"interpreter\" => true,\n \"tier1\" => m.native_entries > 0 && m.installed >= required_installs,\n \"tier2\" => {\n m.tier2_entries > 0\n && m.installed >= required_installs\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n }\n \"automatic\" => {\n m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0\n }\n _ => false,\n }\n}\nfn blacklist_can_end_warmup(\n mode: &str,\n m: &rquickjs_jit::JitMetrics,\n required_tier2: bool,\n) -> bool {\n mode != \"automatic\"\n && !required_tier2\n && m.blacklisted > 0\n && m.pending_worker_jobs == 0\n && m.pending_snapshot_bytes == 0\n}\n\nfn compilation_quiet(before: &rquickjs_jit::JitMetrics, after: &rquickjs_jit::JitMetrics) -> bool {\n after.pending_worker_jobs == 0\n && after.pending_snapshot_bytes == 0\n && after.installed == before.installed\n && after.snapshot_requests == before.snapshot_requests\n}\n\nfn settle_compilation(\n context: &Context,\n jit: &Jit,\n timeout: Duration,\n) -> Result<(rquickjs_jit::JitMetrics, bool), String> {\n let deadline = Instant::now() + timeout;\n let mut before = jit.metrics();\n let mut quiet_polls = 0;\n while quiet_polls < 3 && Instant::now() < deadline {\n invoke_workload(context)?;\n jit.poll();\n let after = jit.metrics();\n if compilation_quiet(&before, &after) {\n quiet_polls += 1;\n } else {\n quiet_polls = 0;\n std::thread::sleep(Duration::from_micros(200));\n }\n before = after;\n }\n Ok((before, quiet_polls >= 3))\n}\n\nfn threshold_timeout(mode: &str) -> Duration {\n if mode == \"interpreter\" {\n Duration::ZERO\n } else {\n Duration::from_secs(2)\n }\n}\nfn validate_sample(mode: &str, r: &WorkerResult, requires_native: bool) -> Result<(), String> {\n if r.checksum.is_empty() {\n return Err(\"empty checksum\".into());\n }\n if mode != \"bun\" && r.native_exits > r.native_entries {\n return Err(\"native exits exceed entries\".into());\n }\n match mode {\n \"interpreter\" if r.native_entries != 0 => Err(\"interpreter entered native code\".into()),\n \"tier1\" if requires_native && r.native_entries == 0 => {\n Err(format!(\"Tier1 sample never entered native code: {r:?}\"))\n }\n \"tier1\" if r.tier2_entries != 0 => Err(\"Tier1 policy entered Tier2\".into()),\n \"tier2\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"Tier2 sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if requires_native && r.tier2_entries == 0 => {\n Err(format!(\"automatic sample never entered Tier2 code: {r:?}\"))\n }\n \"automatic\" if r.tier2_entries > 0 && !r.automatic_ready => Err(format!(\n \"automatic sample retained pending compilation after warmup: {r:?}\"\n )),\n _ => Ok(()),\n }\n}\nfn ensure_consistent_samples(mode: &str, samples: &[SampleEvidence]) -> Result<(), String> {\n let first = samples.first().ok_or(\"no samples\")?;\n for sample in samples {\n if sample.checksum != first.checksum {\n return Err(format!(\n \"{mode} checksum changed at pair {}\",\n sample.pair_index\n ));\n }\n if mode != \"bun\"\n && (sample.opcode_fingerprint != first.opcode_fingerprint\n || sample.abi_fingerprint != first.abi_fingerprint\n || sample.config_fingerprint != first.config_fingerprint)\n {\n return Err(format!(\n \"{mode} fingerprint changed at pair {}\",\n sample.pair_index\n ));\n }\n }\n Ok(())\n}\nfn evidence_for_mode(mode: &str, pair: usize, r: WorkerResult) -> SampleEvidence {\n let external = mode == \"bun\";\n SampleEvidence {\n pair_index: pair as u32,\n elapsed_ns: r.elapsed_ns,\n checksum: r.checksum,\n native_entries: (!external).then_some(r.native_entries),\n native_acquisitions: (!external).then_some(r.native_acquisitions),\n native_exits: (!external).then_some(r.native_exits),\n fallback_count: (!external).then_some(r.fallbacks),\n retry_count: (!external).then_some(r.retries),\n tier1_entries: (!external).then_some(r.native_entries.saturating_sub(r.tier2_entries)),\n tier2_entries: (!external).then_some(r.tier2_entries),\n deopt_count: (!external).then_some(r.deopts),\n osr_attempts: (!external).then_some(r.osr_attempts),\n profitability_evaluations: (!external).then_some(r.profitability_evaluations),\n profitability_approved: (!external).then_some(r.profitability_approved),\n profitability_rejected: (!external).then_some(r.profitability_rejected),\n benefit_recordings: (!external).then_some(r.benefit_recordings),\n measured_benefit_ns: (!external).then_some(r.measured_benefit_ns),\n opcode_fingerprint: (!external).then_some(r.opcode_fingerprint),\n abi_fingerprint: (!external).then_some(r.abi_fingerprint),\n config_fingerprint: (!external).then_some(r.config_fingerprint),\n peak_rss_bytes: (!external).then_some(r.peak_rss_bytes),\n code_bytes: (!external).then_some(r.code_bytes),\n metadata_bytes: (!external).then_some(r.metadata_bytes),\n peak_compiler_bytes: (!external).then_some(r.active_ir_bytes),\n phases: r.phases,\n }\n}\nfn rotated<'a>(modes: &'a [String], round: usize) -> impl Iterator + 'a {\n (0..modes.len()).map(move |i| modes[(i + round) % modes.len()].as_str())\n}\nfn median_field(samples: &[SampleEvidence], field: impl Fn(&SampleEvidence) -> u64) -> u64 {\n let mut v = samples.iter().map(field).collect::>();\n v.sort_unstable();\n model::quantile(&v, 0.5)\n}\nfn fill_break_even(results: &mut [ModeResult]) {\n let Some(base) = results.iter().find(|m| m.mode == \"interpreter\").cloned() else {\n return;\n };\n for mode in results.iter_mut().filter(|m| m.mode != \"interpreter\") {\n for w in &mut mode.workloads {\n if let Some(b) = base.workloads.iter().find(|b| b.name == w.name) {\n let saved = b.median_ns.saturating_sub(w.median_ns);\n w.break_even_executions =\n (saved > 0).then(|| w.compile_ns.saturating_add(w.install_ns).div_ceil(saved));\n }\n }\n }\n}\nfn child(executable: &Path, mode: &str, script: &Path) -> Result {\n if mode == \"bun\" {\n return bun_child(script);\n }\n let output = Command::new(executable)\n .args([\"worker\", \"--mode\", mode, \"--script\"])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n serde_json::from_slice(&output.stdout).map_err(err)\n}\nfn bun_child(script: &Path) -> Result {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n let wrapper = r#\"\nimport { readFileSync } from 'node:fs';\n(0,eval)(readFileSync(process.argv[1],'utf8'));\nconst first=workload(2000,0,globalThis.workloadArgument); if(first&&typeof first.then==='function') await first;\nconst start=Bun.nanoseconds(); let result;\nfor(let i=0;i<10;i++){result=workload(2000,0,globalThis.workloadArgument);if(result&&typeof result.then==='function')result=await result}\nconst elapsed=Bun.nanoseconds()-start;\nfunction checksum(v){if(typeof v==='number'){const b=new ArrayBuffer(8),d=new DataView(b);d.setFloat64(0,v,false);return 'number:'+d.getBigUint64(0,false).toString(16).padStart(16,'0')}if(typeof v==='string')return 'string:'+v;if(typeof v==='boolean')return 'boolean:'+v;if(v===null)return 'null';if(v===undefined)return 'undefined';throw new Error('checksum primitive required')}\nconsole.log(JSON.stringify({elapsed_ns:elapsed,checksum:checksum(result)}));\n\"#;\n let started = Instant::now();\n let output = Command::new(&bun)\n .args([\"--smol\", \"-e\", wrapper])\n .arg(script)\n .output()\n .map_err(err)?;\n if !output.status.success() {\n return Err(String::from_utf8_lossy(&output.stderr).into_owned());\n }\n #[derive(Deserialize)]\n struct BunOut {\n elapsed_ns: u64,\n checksum: String,\n }\n let out: BunOut = serde_json::from_slice(&output.stdout).map_err(err)?;\n let phases = PhaseTiming {\n steady_state_ns: out.elapsed_ns,\n total_ns: ns(started.elapsed()),\n ..Default::default()\n };\n Ok(WorkerResult {\n elapsed_ns: out.elapsed_ns,\n checksum: out.checksum,\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 0,\n abi_fingerprint: 0,\n config_fingerprint: hash64(format!(\"{}:{}\", command(&bun, &[\"--version\"]), bun).as_bytes()),\n peak_rss_bytes: 0,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: true,\n phases,\n })\n}\nfn write_file(path: &str, modes: Vec) -> Result<(), String> {\n let mut mode_names = modes.iter().map(|m| m.mode.as_str()).collect::>();\n mode_names.sort_unstable();\n if mode_names != [\"automatic\", \"interpreter\", \"tier1\", \"tier2\"]\n && mode_names != [\"automatic\", \"bun\", \"interpreter\", \"tier1\", \"tier2\"]\n {\n return Err(\"benchmark evidence requires the four rquickjs modes and optional bun\".into());\n }\n let sampling = sampling_config()?;\n let file = BenchmarkFile {\n schema: \"jit-benchmark-v1\".into(),\n provenance: provenance()?,\n policy: SamplingPolicy {\n latency_warmups: sampling.warmups as u32,\n latency_processes: sampling.samples as u32,\n throughput_windows: sampling.windows as u32,\n throughput_window_ns: sampling.window.as_nanos() as u64,\n bootstrap_resamples: 10_000,\n pairing:\n \"round-robin interleaved fresh processes; pair_index is the joint resampling unit\"\n .into(),\n },\n modes,\n exclusions: vec![\n Exclusion {\n suite: \"SunSpider\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no redistribution/import performed\".into(),\n },\n Exclusion {\n suite: \"JetStream\".into(),\n test: \"all\".into(),\n reason: \"not vendored; no runnable components available locally\".into(),\n },\n ],\n };\n if let Some(parent) = Path::new(path).parent() {\n fs::create_dir_all(parent).map_err(err)?\n }\n fs::write(path, serde_json::to_vec_pretty(&file).map_err(err)?).map_err(err)\n}\nfn provenance() -> Result {\n let (stripped_no_jit_bytes, stripped_jit_bytes) = stripped_probe_sizes()?;\n let bun_path = command(\"sh\", &[\"-c\", \"command -v bun\"]);\n let bun_available = !bun_path.is_empty();\n Ok(Provenance {\n source_revision: command(\"git\", &[\"rev-parse\", \"HEAD\"]),\n quickjs_revision: command(\"git\", &[\"-C\", \"sys/quickjs\", \"rev-parse\", \"HEAD\"]),\n source_dirty: !command(\"git\", &[\"status\", \"--porcelain\"]).is_empty(),\n command: env::args().collect(),\n target: option_env!(\"TARGET\").unwrap_or(env::consts::ARCH).into(),\n target_triple: rustc_host_triple(),\n os: env::consts::OS.into(),\n kernel: command(\"uname\", &[\"-sr\"]),\n cpu: fs::read_to_string(\"/proc/cpuinfo\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|x| x.starts_with(\"model name\"))\n .map(str::to_owned)\n })\n .unwrap_or_else(|| \"unknown\".into()),\n power_mode: fs::read_to_string(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n .unwrap_or_else(|_| \"unknown\".into())\n .trim()\n .into(),\n rustc: command(\"rustc\", &[\"-Vv\"]),\n llvm: command(\"rustc\", &[\"-vV\"]),\n executable_bytes: fs::metadata(env::current_exe().map_err(err)?)\n .map_err(err)?\n .len(),\n stripped_jit_bytes,\n stripped_no_jit_bytes,\n stripped_jit_delta_bytes: i64::try_from(stripped_jit_bytes)\n .unwrap_or(i64::MAX)\n .saturating_sub(i64::try_from(stripped_no_jit_bytes).unwrap_or(i64::MAX)),\n schema_sha256: sha256(\"schema/jit-benchmark-v1.json\"),\n suites_lock_sha256: sha256(\"suites.lock\"),\n bun_version: bun_available.then(|| command(&bun_path, &[\"--version\"])),\n bun_sha256: bun_available.then(|| sha256_file(&bun_path)),\n bun_path: bun_available.then_some(bun_path),\n })\n}\nfn rustc_host_triple() -> String {\n command(\"rustc\", &[\"-vV\"])\n .lines()\n .find_map(|line| line.strip_prefix(\"host: \"))\n .unwrap_or(\"unknown-unknown-unknown\")\n .to_owned()\n}\nfn stripped_probe_sizes() -> Result<(u64, u64), String> {\n let exe = env::current_exe().map_err(err)?;\n let dir = exe.parent().ok_or(\"benchmark executable has no parent\")?;\n let suffix = if cfg!(windows) { \".exe\" } else { \"\" };\n let no_jit = dir.join(format!(\"jit-size-no-jit{suffix}\"));\n let jit = dir.join(format!(\"jit-size-jit{suffix}\"));\n if !no_jit.is_file() || !jit.is_file() {\n return Err(\"build --release --bins first: stripped size probes are missing\".into());\n }\n Ok((stripped_size(&no_jit)?, stripped_size(&jit)?))\n}\nfn stripped_size(path: &Path) -> Result {\n let temp = env::temp_dir().join(format!(\"rquickjs-jit-size-{}\", std::process::id()));\n fs::copy(path, &temp).map_err(err)?;\n let status = Command::new(\"strip\").arg(&temp).status().map_err(err)?;\n if !status.success() {\n return Err(\"strip failed for binary size probe\".into());\n }\n let size = fs::metadata(&temp).map_err(err)?.len();\n let _ = fs::remove_file(temp);\n Ok(size)\n}\nfn worker_peak_rss() -> u64 {\n fs::read_to_string(\"/proc/self/status\")\n .ok()\n .and_then(|s| {\n s.lines()\n .find(|l| l.starts_with(\"VmHWM:\"))\n .and_then(|l| l.split_whitespace().nth(1))\n .and_then(|v| v.parse::().ok())\n })\n .unwrap_or(0)\n .saturating_mul(1024)\n}\nfn sha256(relative: &str) -> String {\n command(\n \"sha256sum\",\n &[&Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(relative)\n .to_string_lossy()],\n )\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn sha256_file(path: &str) -> String {\n command(\"sha256sum\", &[path])\n .split_whitespace()\n .next()\n .unwrap_or(\"unknown\")\n .into()\n}\nfn hash64(bytes: &[u8]) -> u64 {\n bytes.iter().fold(0xcbf29ce484222325u64, |h, b| {\n (h ^ u64::from(*b)).wrapping_mul(0x100000001b3)\n })\n}\nfn ns(d: Duration) -> u64 {\n d.as_nanos().try_into().unwrap_or(u64::MAX)\n}\nfn command(program: &str, args: &[&str]) -> String {\n Command::new(program)\n .args(args)\n .output()\n .ok()\n .filter(|o| o.status.success())\n .map(|o| String::from_utf8_lossy(&o.stdout).trim().to_owned())\n .unwrap_or_else(|| \"unknown\".into())\n}\nfn sibling_reporter() -> Result {\n let mut p = env::current_exe().map_err(err)?;\n p.set_file_name(if cfg!(windows) {\n \"jit-bench-report.exe\"\n } else {\n \"jit-bench-report\"\n });\n Ok(p)\n}\nfn value(args: &[String], flag: &str) -> Result {\n args.iter()\n .position(|x| x == flag)\n .and_then(|i| args.get(i + 1))\n .cloned()\n .ok_or_else(|| format!(\"missing {flag}\"))\n}\nfn err(error: impl std::fmt::Display) -> String {\n error.to_string()\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n #[test]\n fn validation_rejects_cross_tier_and_impossible_counters() {\n let mut r = WorkerResult {\n elapsed_ns: 1,\n checksum: \"x\".into(),\n native_entries: 0,\n native_acquisitions: 0,\n native_exits: 0,\n fallbacks: 0,\n retries: 0,\n tier2_entries: 0,\n deopts: 0,\n osr_attempts: 0,\n profitability_evaluations: 0,\n profitability_approved: 0,\n profitability_rejected: 0,\n benefit_recordings: 0,\n measured_benefit_ns: 0,\n opcode_fingerprint: 1,\n abi_fingerprint: 1,\n config_fingerprint: 1,\n peak_rss_bytes: 1,\n code_bytes: 0,\n metadata_bytes: 0,\n active_ir_bytes: 0,\n automatic_ready: false,\n phases: PhaseTiming::default(),\n };\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier1\", &r, false).is_ok());\n r.native_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_ok());\n r.tier2_entries = 1;\n assert!(validate_sample(\"tier1\", &r, true).is_err());\n assert!(validate_sample(\"tier2\", &r, true).is_ok());\n assert!(validate_sample(\"automatic\", &r, true).is_err());\n r.automatic_ready = true;\n assert!(validate_sample(\"automatic\", &r, true).is_ok());\n r.automatic_ready = false;\n assert!(validate_sample(\"automatic\", &r, false).is_err());\n r.native_exits = 2;\n assert!(validate_sample(\"tier2\", &r, true).is_err());\n }\n #[test]\n fn rotation_interleaves_order() {\n let m = vec![\"a\".into(), \"b\".into(), \"c\".into()];\n assert_eq!(rotated(&m, 1).collect::>(), vec![\"b\", \"c\", \"a\"]);\n }\n #[test]\n fn interpreter_never_pays_a_tier_up_loop() {\n assert_eq!(threshold_timeout(\"interpreter\"), Duration::ZERO);\n assert_eq!(threshold_timeout(\"automatic\"), Duration::from_secs(2));\n }\n #[test]\n fn forced_tier2_warmup_waits_for_the_required_publications_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.installed = 3;\n // The optimized leaf is not evidence that its caller is ready.\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.installed = 4;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"tier2\", &metrics, 4));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"tier2\", &metrics, 4));\n }\n\n #[test]\n fn explicit_tier2_requirement_cannot_be_bypassed_by_an_unrelated_blacklist() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.blacklisted = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, true));\n // Unsupported probes without a declaration retain bounded fallback.\n assert!(blacklist_can_end_warmup(\"tier2\", &metrics, false));\n metrics.pending_snapshot_bytes = 1;\n assert!(!blacklist_can_end_warmup(\"tier2\", &metrics, false));\n }\n\n #[test]\n fn compilation_quiet_requires_stable_publications_and_snapshot_requests() {\n let before = rquickjs_jit::JitMetrics::default();\n let mut after = before.clone();\n assert!(compilation_quiet(&before, &after));\n after.installed = 1;\n assert!(!compilation_quiet(&before, &after));\n after.installed = 0;\n after.snapshot_requests = 1;\n assert!(!compilation_quiet(&before, &after));\n after.snapshot_requests = 0;\n after.pending_worker_jobs = 1;\n assert!(!compilation_quiet(&before, &after));\n after.pending_worker_jobs = 0;\n after.pending_snapshot_bytes = 1;\n assert!(!compilation_quiet(&before, &after));\n }\n\n #[test]\n fn automatic_warmup_waits_for_tier2_and_pending_compilation() {\n let mut metrics = rquickjs_jit::JitMetrics::default();\n metrics.native_entries = 8;\n metrics.tier2_entries = 1;\n metrics.pending_worker_jobs = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_worker_jobs = 0;\n metrics.pending_snapshot_bytes = 1;\n assert!(!native_ready(\"automatic\", &metrics, 1));\n metrics.pending_snapshot_bytes = 0;\n assert!(native_ready(\"automatic\", &metrics, 1));\n }\n #[test]\n fn focused_performance_categories_are_present_and_designated() {\n for (name, group) in [\n (\"scalar-loop\", \"scalar-loop\"),\n (\"call-heavy\", \"call-heavy\"),\n (\"property-heavy\", \"property-heavy\"),\n ] {\n let workload = WORKLOADS\n .iter()\n .find(|workload| workload.name == name)\n .unwrap();\n assert_eq!(workload.group, group);\n assert!(workload.designated);\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn bun_external_samples_use_null_native_counters_and_matching_checksums() {\n let bun = env::var(\"JIT_BENCH_BUN\").unwrap_or_else(|_| \"bun\".into());\n if !Command::new(&bun)\n .arg(\"--version\")\n .output()\n .is_ok_and(|output| output.status.success())\n {\n return;\n }\n for script in [\"scalar-loop.js\", \"numeric.js\", \"quickjs-fibonacci.js\"] {\n let path = Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(script);\n let result = bun_child(&path).unwrap();\n validate_sample(\"bun\", &result, true).unwrap();\n let sample = evidence_for_mode(\"bun\", 0, result);\n assert!(sample.native_entries.is_none() && sample.native_exits.is_none());\n assert!(sample.tier1_entries.is_none() && sample.tier2_entries.is_none());\n assert!(!sample.checksum.is_empty());\n }\n }\n #[test]\n fn recursive_fibonacci_is_a_non_designated_call_path_probe() {\n let iterative = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-iterative\")\n .unwrap();\n assert_eq!(iterative.group, \"compute\");\n assert!(iterative.designated);\n\n let recursive = WORKLOADS\n .iter()\n .find(|workload| workload.name == \"fibonacci-recursive\")\n .unwrap();\n assert_eq!(recursive.group, \"call-heavy\");\n assert!(!recursive.designated);\n }\n\n #[test]\n fn expanded_performance_matrix_is_complete_and_explicitly_non_designated() {\n for (name, group) in [\n (\"float64-dense\", \"float64\"),\n (\"strings-regexp\", \"strings-regexp\"),\n (\"arrays-typed\", \"arrays-typed\"),\n (\"objects-polymorphic\", \"objects-polymorphic\"),\n (\"calls-recursion-closures\", \"calls-recursion-closures\"),\n (\"json-codec\", \"json-codec\"),\n (\"map-set-bigint\", \"map-set-bigint\"),\n (\"exceptions-promises-async\", \"exceptions-promises-async\"),\n ] {\n let workload = WORKLOADS.iter().find(|w| w.name == name).unwrap();\n assert_eq!(workload.group, group);\n assert!(\n !workload.designated,\n \"coverage is evidence, not a native-entry claim\"\n );\n assert!(Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file)\n .is_file());\n }\n }\n\n #[test]\n fn expanded_matrix_has_repeatable_primitive_checksums_in_quickjs() {\n for workload in WORKLOADS\n .iter()\n .filter(|w| w.suite == \"rquickjs-jit matrix\")\n {\n let runtime = Runtime::new().unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(workload.file),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let first = invoke_workload(&context).unwrap();\n let second = invoke_workload(&context).unwrap();\n assert_eq!(first, second, \"{} checksum drifted\", workload.name);\n assert!(\n first.starts_with(\"number:\") || first.starts_with(\"string:\"),\n \"{} did not return a reportable primitive checksum\",\n workload.name\n );\n }\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn forced_tier2_direct_call_probe_is_quiet_and_direct_during_steady_execution() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source =\n fs::read(Path::new(env!(\"CARGO_MANIFEST_DIR\")).join(\"scripts/call-heavy.js\")).unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n let required = context\n .with(|ctx| ctx.eval::(\"globalThis.tier2ReadyInstalls\"))\n .unwrap();\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if native_ready(\"tier2\", &jit.metrics(), required) {\n break;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n let (before, settled) =\n settle_compilation(&context, &jit, Duration::from_secs(60)).unwrap();\n assert!(\n settled && native_ready(\"tier2\", &before, required),\n \"{before:?}\"\n );\n for _ in 0..10 {\n invoke_workload(&context).unwrap();\n jit.poll();\n }\n let after = jit.metrics();\n assert!(compilation_quiet(&before, &after));\n let entries = after.tier2_entries - before.tier2_entries;\n assert!(\n (10..=20).contains(&entries),\n \"steady Tier2 entries: {entries}\"\n );\n assert_eq!(after.native_fallbacks, before.native_fallbacks);\n assert_eq!(after.native_retries, before.native_retries);\n }\n\n #[cfg(all(\n target_os = \"linux\",\n target_endian = \"little\",\n any(target_arch = \"x86_64\", target_arch = \"aarch64\")\n ))]\n #[test]\n fn harness_omits_the_optional_argument_for_two_parameter_numeric_kernels() {\n let runtime = Runtime::new().unwrap();\n let jit = Jit::attach(\n &runtime,\n JitConfig::builder()\n .call_threshold(1)\n .loop_threshold(1)\n .tier_policy(JitTierPolicy::Optimize)\n .force_optimized_for_test(true)\n .build()\n .unwrap(),\n )\n .unwrap();\n let context = Context::full(&runtime).unwrap();\n let source = fs::read(\n Path::new(env!(\"CARGO_MANIFEST_DIR\"))\n .join(\"scripts\")\n .join(\"scalar-loop.js\"),\n )\n .unwrap();\n context\n .with(|ctx| ctx.eval::<(), _>(source.as_slice()))\n .unwrap();\n\n // MemorySanitizer makes both the workload and background compilation\n // substantially slower. Keep requiring a real Tier 2 entry while\n // giving the stable workload enough time to install and execute it.\n let deadline = Instant::now() + Duration::from_secs(60);\n while Instant::now() < deadline {\n invoke_workload(&context).unwrap();\n jit.poll();\n if jit.metrics().tier2_entries > 0 {\n return;\n }\n std::thread::sleep(Duration::from_micros(50));\n }\n panic!(\n \"the harness changed the two-argument kernel signature: {:?}\",\n jit.metrics()\n );\n }\n}\n", + "suites_lock_sha256": "84c026c6e06a7a2cfd5a91901e7e5a4ff6e7753c187866016947c2dda96d55b4", + "candidate_runtime_source_sha256": "1be22aae3c8a59a9700d698d29e42df525b250ac5e9d69231bf2b35f92fd386c", + "candidate_runtime_diff": "diff --git i/jit/src/lib.rs w/jit/src/lib.rs\nindex 904a118..8693e29 100644\n--- i/jit/src/lib.rs\n+++ w/jit/src/lib.rs\n@@ -553,8 +553,9 @@ struct ProductionBackend {\n // retain their own tier in execution_starts across recursive replacement.\n entry_tiers: std::collections::HashMap,\n entry_cache_epoch: u64,\n- execution_starts:\n- std::collections::HashMap>,\n+ // C brackets each native invocation with a synchronous enter/exit pair.\n+ // Keep active records through retirement and preserve each invocation's tier.\n+ execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>,\n execution_profiles: std::collections::HashMap,\n profitability_evaluations: u64,\n profitability_approved: u64,\n@@ -1328,7 +1329,7 @@ impl ProductionBackend {\n adaptive_inputs_recorded: 0,\n snapshot_requests: 0,\n stable_path_compile_requests: 0,\n- execution_starts: std::collections::HashMap::new(),\n+ execution_starts: Vec::new(),\n entry_tiers: std::collections::HashMap::new(),\n entry_cache_epoch: 1,\n execution_profiles: std::collections::HashMap::new(),\n@@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n self.osr_attempts = self.osr_attempts.saturating_add(1);\n }\n self.execution_starts\n- .entry(key)\n- .or_default()\n- .push((std::time::Instant::now(), tier));\n+ .push((key, std::time::Instant::now(), tier));\n }\n \n fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) {\n@@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend {\n .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed);\n }\n }\n- if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) {\n+ // An unmatched callback must not discard a different active timer.\n+ // Actual C invocations, including recursive and OSR entries, are LIFO.\n+ if let Some((_, start, tier)) = self\n+ .execution_starts\n+ .last()\n+ .copied()\n+ .filter(|(active, _, _)| *active == key)\n+ {\n+ self.execution_starts.pop();\n let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX);\n let optimized = tier == runtime::Tier::Optimizing;\n let profile = self.execution_profiles.entry(key).or_default();\n@@ -2722,6 +2729,107 @@ mod production_environment_tests {\n event\n }\n \n+ #[test]\n+ fn sequential_native_entries_reuse_timing_storage_across_functions() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_enter(1, 1, 0);\n+ backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let mut allocations = 0;\n+ for id in 2..102 {\n+ ALLOCATIONS.with(|count| count.set(Some(0)));\n+ backend.native_enter(id, 1, 0);\n+ allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap());\n+ // Profile creation on exit is separate from storing an active timer.\n+ backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ }\n+ assert_eq!(\n+ allocations, 0,\n+ \"sequential entries must reuse warmed timing storage\"\n+ );\n+ assert_eq!((backend.native_entries, backend.native_exits), (101, 101));\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::{FunctionKey, Tier};\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ let outer = FunctionKey::new(7, 3);\n+ let inner = FunctionKey::new(8, 4);\n+ backend.entry_tiers.insert(outer, Tier::Baseline);\n+ backend.native_enter(7, 3, 0);\n+ backend.entry_tiers.insert(inner, Tier::Optimizing);\n+ backend.native_enter(8, 4, 12);\n+ backend.entry_tiers.insert(outer, Tier::Optimizing);\n+ backend.native_enter(7, 3, 0);\n+ backend.function_retire(7, 3);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT);\n+ backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ let a = backend.execution_profiles[&outer];\n+ let b = backend.execution_profiles[&inner];\n+ assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1));\n+ assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1));\n+ assert_eq!(\n+ (\n+ backend.native_entries,\n+ backend.native_exits,\n+ backend.osr_attempts\n+ ),\n+ (3, 3, 1)\n+ );\n+ backend.runtime_detach();\n+ }\n+\n+ #[test]\n+ fn unmatched_native_exit_does_not_consume_another_active_timer() {\n+ use rquickjs_core::{qjs, runtime::JitBackend};\n+ use runtime::FunctionKey;\n+ let mut backend = ProductionBackend::new(\n+ 1,\n+ &abi::AbiInfo::linked().unwrap(),\n+ JitConfig::default(),\n+ Arc::new(Mutex::new(JitMetrics::default())),\n+ )\n+ .unwrap();\n+ backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ backend.native_enter(7, 3, 0);\n+ backend.native_enter(8, 4, 0);\n+ // Defensive behavior for invalid callback order; C's real pairs are LIFO.\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(7, 3)));\n+ backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION);\n+ backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE);\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions,\n+ 1\n+ );\n+ assert_eq!(\n+ backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions,\n+ 1\n+ );\n+ assert!(!backend\n+ .execution_profiles\n+ .contains_key(&FunctionKey::new(99, 1)));\n+ backend.runtime_detach();\n+ }\n+\n #[test]\n fn stable_call_feedback_does_not_allocate_after_warmup() {\n use rquickjs_core::{qjs, runtime::JitBackend};\n", + "script_source": "// Focused scalar-loop kernel: integer induction, addition, and one backedge.\nfunction workload(iterations, seed) {\n let sum = seed;\n for (let i = seed; i < iterations; i++) {\n sum = sum + i;\n }\n return sum;\n}\n", + 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"throughput": { + "interpreter": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 383, + "elapsed_ns": 1001003055 + }, + { + "window_index": 1, + "fresh_workers": 399, + "elapsed_ns": 1001978954 + }, + { + "window_index": 2, + "fresh_workers": 388, + "elapsed_ns": 1000982697 + }, + { + "window_index": 3, + "fresh_workers": 367, + "elapsed_ns": 1000321888 + }, + { + "window_index": 4, + "fresh_workers": 374, + "elapsed_ns": 1000856453 + }, + { + "window_index": 5, + "fresh_workers": 373, + "elapsed_ns": 1001791573 + }, + { + "window_index": 6, + "fresh_workers": 376, + "elapsed_ns": 1002509835 + }, + { + "window_index": 7, + "fresh_workers": 375, + "elapsed_ns": 1001468084 + }, + { + "window_index": 8, + "fresh_workers": 376, + "elapsed_ns": 1000343790 + }, + { + "window_index": 9, + "fresh_workers": 389, + "elapsed_ns": 1000710479 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 378, + "elapsed_ns": 1002554525 + }, + { + "window_index": 1, + "fresh_workers": 388, + "elapsed_ns": 1000186303 + }, + { + "window_index": 2, + "fresh_workers": 386, + "elapsed_ns": 1000355759 + }, + { + "window_index": 3, + "fresh_workers": 375, + "elapsed_ns": 1001708526 + }, + { + "window_index": 4, + "fresh_workers": 385, + "elapsed_ns": 1001349707 + }, + { + "window_index": 5, + "fresh_workers": 380, + "elapsed_ns": 1000420991 + }, + { + "window_index": 6, + "fresh_workers": 393, + "elapsed_ns": 1008088466 + }, + { + "window_index": 7, + "fresh_workers": 380, + "elapsed_ns": 1002042527 + }, + { + "window_index": 8, + "fresh_workers": 373, + "elapsed_ns": 1000887583 + }, + { + "window_index": 9, + "fresh_workers": 373, + "elapsed_ns": 1001998734 + } + ] + }, + "tier1": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 110, + "elapsed_ns": 1006840454 + }, + { + "window_index": 1, + "fresh_workers": 109, + "elapsed_ns": 1005827992 + }, + { + "window_index": 2, + "fresh_workers": 107, + "elapsed_ns": 1000667851 + }, + { + "window_index": 3, + "fresh_workers": 106, + "elapsed_ns": 1008446325 + }, + { + "window_index": 4, + "fresh_workers": 108, + "elapsed_ns": 1005203124 + }, + { + "window_index": 5, + "fresh_workers": 106, + "elapsed_ns": 1001036680 + }, + { + "window_index": 6, + "fresh_workers": 109, + "elapsed_ns": 1004678964 + }, + { + "window_index": 7, + "fresh_workers": 108, + "elapsed_ns": 1004805070 + }, + { + "window_index": 8, + "fresh_workers": 106, + "elapsed_ns": 1000842674 + }, + { + "window_index": 9, + "fresh_workers": 108, + "elapsed_ns": 1001105168 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 110, + "elapsed_ns": 1005483988 + }, + { + "window_index": 1, + "fresh_workers": 108, + "elapsed_ns": 1005738899 + }, + { + "window_index": 2, + "fresh_workers": 109, + "elapsed_ns": 1004559973 + }, + { + "window_index": 3, + "fresh_workers": 108, + "elapsed_ns": 1008004640 + }, + { + "window_index": 4, + "fresh_workers": 108, + "elapsed_ns": 1001646520 + }, + { + "window_index": 5, + "fresh_workers": 109, + "elapsed_ns": 1004791267 + }, + { + "window_index": 6, + "fresh_workers": 109, + "elapsed_ns": 1002565144 + }, + { + "window_index": 7, + "fresh_workers": 108, + "elapsed_ns": 1004577191 + }, + { + "window_index": 8, + "fresh_workers": 110, + "elapsed_ns": 1008367611 + }, + { + "window_index": 9, + "fresh_workers": 109, + "elapsed_ns": 1005031174 + } + ] + }, + "tier2": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 107, + "elapsed_ns": 1005665341 + }, + { + "window_index": 1, + "fresh_workers": 104, + "elapsed_ns": 1008147261 + }, + { + "window_index": 2, + "fresh_workers": 103, + "elapsed_ns": 1002907758 + }, + { + "window_index": 3, + "fresh_workers": 105, + "elapsed_ns": 1003294240 + }, + { + "window_index": 4, + "fresh_workers": 109, + "elapsed_ns": 1008047572 + }, + { + "window_index": 5, + "fresh_workers": 103, + "elapsed_ns": 1000256825 + }, + { + "window_index": 6, + "fresh_workers": 104, + "elapsed_ns": 1017766765 + }, + { + "window_index": 7, + "fresh_workers": 106, + "elapsed_ns": 1001613087 + }, + { + "window_index": 8, + "fresh_workers": 103, + "elapsed_ns": 1001618550 + }, + { + "window_index": 9, + "fresh_workers": 104, + "elapsed_ns": 1003124679 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 106, + "elapsed_ns": 1004743944 + }, + { + "window_index": 1, + "fresh_workers": 104, + "elapsed_ns": 1001493777 + }, + { + "window_index": 2, + "fresh_workers": 105, + "elapsed_ns": 1007285613 + }, + { + "window_index": 3, + "fresh_workers": 103, + "elapsed_ns": 1004046534 + }, + { + "window_index": 4, + "fresh_workers": 105, + "elapsed_ns": 1006146119 + }, + { + "window_index": 5, + "fresh_workers": 101, + "elapsed_ns": 1006813977 + }, + { + "window_index": 6, + "fresh_workers": 106, + "elapsed_ns": 1017690039 + }, + { + "window_index": 7, + "fresh_workers": 104, + "elapsed_ns": 1002431963 + }, + { + "window_index": 8, + "fresh_workers": 106, + "elapsed_ns": 1004660009 + }, + { + "window_index": 9, + "fresh_workers": 102, + "elapsed_ns": 1001107795 + } + ] + }, + "automatic": { + "baseline": [ + { + "window_index": 0, + "fresh_workers": 92, + "elapsed_ns": 1002230009 + }, + { + "window_index": 1, + "fresh_workers": 93, + "elapsed_ns": 1002102271 + }, + { + "window_index": 2, + "fresh_workers": 96, + "elapsed_ns": 1005342286 + }, + { + "window_index": 3, + "fresh_workers": 95, + "elapsed_ns": 1006642820 + }, + { + "window_index": 4, + "fresh_workers": 94, + "elapsed_ns": 1007683450 + }, + { + "window_index": 5, + "fresh_workers": 94, + "elapsed_ns": 1002012657 + }, + { + "window_index": 6, + "fresh_workers": 93, + "elapsed_ns": 1001210346 + }, + { + "window_index": 7, + "fresh_workers": 94, + "elapsed_ns": 1001368173 + }, + { + "window_index": 8, + "fresh_workers": 96, + "elapsed_ns": 1008897433 + }, + { + "window_index": 9, + "fresh_workers": 94, + "elapsed_ns": 1007701822 + } + ], + "candidate": [ + { + "window_index": 0, + "fresh_workers": 91, + "elapsed_ns": 1001661670 + }, + { + "window_index": 1, + "fresh_workers": 94, + "elapsed_ns": 1002706678 + }, + { + "window_index": 2, + "fresh_workers": 95, + "elapsed_ns": 1000540714 + }, + { + "window_index": 3, + "fresh_workers": 96, + "elapsed_ns": 1002717254 + }, + { + "window_index": 4, + "fresh_workers": 95, + "elapsed_ns": 1001066519 + }, + { + "window_index": 5, + "fresh_workers": 92, + "elapsed_ns": 1008620066 + }, + { + "window_index": 6, + "fresh_workers": 94, + "elapsed_ns": 1011754417 + }, + { + "window_index": 7, + "fresh_workers": 94, + "elapsed_ns": 1000924459 + }, + { + "window_index": 8, + "fresh_workers": 96, + "elapsed_ns": 1001987802 + }, + { + "window_index": 9, + "fresh_workers": 96, + "elapsed_ns": 1006149668 + } + ] + } + }, + "summary": { + "interpreter": { + "baseline": { + "baseline_median_ns": 625014.5, + "candidate_median_ns": 616311.0, + "candidate_speed_relative_to_baseline": 1.0141219287015808, + "paired_bootstrap_speed_ci95": [ + 0.9947048181291208, + 1.0309736792404238 + ], + "statistically_tied": true + } + }, + "tier1": { + "baseline": { + "baseline_median_ns": 213948.5, + "candidate_median_ns": 214508.5, + "candidate_speed_relative_to_baseline": 0.9973893808403863, + "paired_bootstrap_speed_ci95": [ + 0.989379757489433, + 1.0111473385319942 + ], + "statistically_tied": true + } + }, + "tier2": { + "baseline": { + "baseline_median_ns": 27173.0, + "candidate_median_ns": 26878.5, + "candidate_speed_relative_to_baseline": 1.0109567126141712, + "paired_bootstrap_speed_ci95": [ + 1.0019472210374052, + 1.0238006416473924 + ], + "statistically_tied": false + } + }, + "automatic": { + "baseline": { + "baseline_median_ns": 27467.5, + "candidate_median_ns": 27287.5, + "candidate_speed_relative_to_baseline": 1.00659642693541, + "paired_bootstrap_speed_ci95": [ + 1.0016306936861006, + 1.0153451748763962 + ], + "statistically_tied": false + } + } + }, + "driver_source": "\"\"\"Diagnostic paired revision comparison with identical corrected warmup rules for both runtimes.\"\"\"\nimport hashlib\nimport json\nfrom pathlib import Path\nimport random\nimport statistics\nimport subprocess\nimport time\nimport os\nimport sys\n\nROOT = Path('/home/jason/work/quickjs-jit')\nWORKLOAD = sys.argv[1]\nassert WORKLOAD in ['generic-call-entry', 'call-heavy', 'fibonacci-recursive', 'scalar-loop']\nOUTPUT = Path('/tmp/jit-timing-stack-settled-' + WORKLOAD + '.json')\nos.sched_setaffinity(0, {0})\nENGINES = {\n 'baseline': Path('/tmp/jit-timing-stack-settled-baseline/jit-bench'),\n 'candidate': ROOT / 'target/release/jit-bench',\n}\nSCRIPT = ROOT / 'benchmarks/scripts' / (WORKLOAD + '.js')\nMODES = ['interpreter', 'tier1', 'tier2', 'automatic']\nWARMUPS, PAIRS, WINDOWS = 5, 30, 10\nchecksum = None\n\ndef digest(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\ndef run(engine, mode):\n global checksum\n completed = subprocess.run(\n [str(ENGINES[engine]), 'worker', '--mode', mode, '--script', str(SCRIPT)],\n cwd=ROOT, capture_output=True, text=True, check=True, timeout=120,\n )\n result = json.loads(completed.stdout)\n if checksum is None:\n checksum = result['checksum']\n assert result['checksum'] == checksum, (engine, mode, result)\n assert result['native_entries'] == result['native_exits'], (engine, mode, result)\n assert result['checksum'], (engine, mode, result)\n if mode == 'tier1':\n assert result['tier2_entries'] == 0, (engine, mode, result)\n if WORKLOAD in ['scalar-loop', 'call-heavy'] and mode != 'interpreter':\n assert result['native_entries'] > 0, (engine, mode, result)\n if mode in ['tier2', 'automatic']:\n assert result['tier2_entries'] > 0, (engine, mode, result)\n if mode == 'automatic' and result['tier2_entries'] > 0:\n assert result['automatic_ready'], (engine, mode, result)\n if mode == 'interpreter':\n assert result['native_entries'] == 0\n elif WORKLOAD == 'generic-call-entry':\n assert result['native_entries'] > 0, (engine, mode, result)\n return result\n\ndef rotated(items, offset):\n offset %= len(items)\n return items[offset:] + items[:offset]\n\ndef write():\n temporary = OUTPUT.with_suffix('.partial')\n temporary.write_text(json.dumps(evidence, indent=2) + '\\n')\n temporary.replace(OUTPUT)\n\n# Binary hashes bind each measurement to its implementation even though both\n# worker binaries see the current, dirty source tree for the shared script.\nevidence = {\n 'schema': 'jit-timing-stack-settled-paired-diagnostic-v1',\n 'workload': WORKLOAD,\n 'cpu_affinity': sorted(os.sched_getaffinity(0)),\n 'status': 'running',\n 'started_utc': time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()),\n 'driver_sha256': digest(Path(__file__)),\n 'script': str(SCRIPT), 'script_sha256': digest(SCRIPT),\n 'executables': {name: {'path': str(path), 'sha256': digest(path)} for name, path in ENGINES.items()},\n 'candidate_revision': subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip(),\n 'source_dirty': True,\n 'harness_sha256': digest(ROOT / 'benchmarks/run.rs'),\n 'harness_source': (ROOT / 'benchmarks/run.rs').read_text(),\n 'suites_lock_sha256': digest(ROOT / 'benchmarks/suites.lock'),\n 'candidate_runtime_source_sha256': digest(ROOT / 'jit/src/lib.rs'),\n 'candidate_runtime_diff': Path('/tmp/jit-timing-stack.diff').read_text(),\n 'script_source': SCRIPT.read_text(),\n 'comparison': 'merged M3 a38bd01 runtime versus execution-timing-stack runtime; both rebuilt with identical corrected benchmark harness',\n 'warmup_processes_per_engine_and_mode': WARMUPS,\n 'fresh_process_pairs_per_mode': PAIRS,\n 'throughput_windows_per_engine_and_mode': WINDOWS,\n 'throughput_window_min_ns': 1_000_000_000,\n 'throughput_unit': 'fresh jit-bench worker processes including setup and warmup',\n 'bootstrap_resamples': 10000,\n 'order_policy': 'Per-mode engine order alternates independently of mode rotation; 15/15 latency first positions and 5/5 throughput first positions',\n 'throughput_orders': {mode: [] for mode in MODES},\n 'pairs': {mode: [] for mode in MODES},\n 'throughput': {mode: {engine: [] for engine in ENGINES} for mode in MODES},\n}\nwrite()\nfor pair in range(WARMUPS):\n for index, mode in enumerate(rotated(MODES, pair)):\n for engine in rotated(list(ENGINES), pair):\n run(engine, mode)\nprint('warmups complete', flush=True)\nfor pair in range(PAIRS):\n for index, mode in enumerate(rotated(MODES, pair)):\n order = rotated(list(ENGINES), pair)\n row = {'pair_index': pair, 'engine_order': order}\n for engine in order:\n row[engine] = run(engine, mode)\n evidence['pairs'][mode].append(row)\n write()\n if (pair + 1) % 5 == 0:\n print(f'completed {pair + 1}/{PAIRS} pairs per mode', flush=True)\nfor window in range(WINDOWS):\n for index, mode in enumerate(rotated(MODES, window)):\n order = rotated(list(ENGINES), window)\n evidence['throughput_orders'][mode].append(order)\n for engine in order:\n start = time.monotonic_ns()\n count = 0\n while time.monotonic_ns() - start < 1_000_000_000:\n run(engine, mode)\n count += 1\n evidence['throughput'][mode][engine].append({\n 'window_index': window, 'fresh_workers': count,\n 'elapsed_ns': time.monotonic_ns() - start,\n })\n write()\n print(f'completed {window + 1}/{WINDOWS} throughput windows', flush=True)\nfor mode in MODES:\n for engine in ENGINES:\n assert sum(row['engine_order'][0] == engine for row in evidence['pairs'][mode]) == PAIRS // 2\n assert sum(order[0] == engine for order in evidence['throughput_orders'][mode]) == WINDOWS // 2\nsummary = {}\nfor mode, pairs in evidence['pairs'].items():\n summary[mode] = {}\n for baseline in ['baseline']:\n a = [row[baseline]['elapsed_ns'] for row in pairs]\n b = [row['candidate']['elapsed_ns'] for row in pairs]\n rng = random.Random(20260905)\n bootstrap = []\n for _ in range(10000):\n indices = [rng.randrange(len(pairs)) for _ in pairs]\n bootstrap.append(statistics.median(a[i] for i in indices) / statistics.median(b[i] for i in indices))\n bootstrap.sort()\n summary[mode][baseline] = {\n 'baseline_median_ns': statistics.median(a),\n 'candidate_median_ns': statistics.median(b),\n 'candidate_speed_relative_to_baseline': statistics.median(a) / statistics.median(b),\n 'paired_bootstrap_speed_ci95': [bootstrap[249], bootstrap[9749]],\n 'statistically_tied': bootstrap[249] <= 1 <= bootstrap[9749],\n }\n# Detect replacement during measurement instead of silently mixing binaries.\nfor name, path in ENGINES.items():\n assert digest(path) == evidence['executables'][name]['sha256']\nassert digest(SCRIPT) == evidence['script_sha256']\nevidence['summary'] = summary\nevidence['status'] = 'complete'\nwrite()\nprint(json.dumps(summary, indent=2), flush=True)\n", + "limitations": "Dirty-source paired revision diagnostic, not a clean-source acceptance matrix. Baseline is merged M3 a38bd01 runtime, not M2; both runtimes rebuilt with identical corrected harness. CPU 0 pinned, local verification completed before timing. Throughput counts fresh worker processes including setup/warmup, not JavaScript operations." +} diff --git a/benchmarks/run.rs b/benchmarks/run.rs index b57f73ad..f6da044e 100644 --- a/benchmarks/run.rs +++ b/benchmarks/run.rs @@ -383,6 +383,17 @@ fn worker(mode: &str, script: &str) -> Result<(), String> { ) }) .map_err(err)?; + let tier2_ready_installs = context + .with(|ctx| ctx.eval::, _>( + "typeof globalThis.tier2ReadyInstalls === 'number' ? globalThis.tier2ReadyInstalls : undefined", + )) + .map_err(err)?; + let required_installs = if mode == "tier2" { + tier2_ready_installs.unwrap_or(1) + } else { + tier1_ready_installs + }; + let required_tier2 = mode == "tier2" && tier2_ready_installs.is_some(); let start = Instant::now(); let _first_checksum = invoke_workload(&context)?; phases.first_eval_ns = ns(start.elapsed()); @@ -405,10 +416,8 @@ fn worker(mode: &str, script: &str) -> Result<(), String> { // queue has drained: the one-shot top-level script is rejected // on the first poll while the workload's own tiers are still // compiling behind it. - if native_ready(mode, &before, tier1_ready_installs) - || (mode != "automatic" - && before.blacklisted > 0 - && before.pending_worker_jobs == 0) + if native_ready(mode, &before, required_installs) + || blacklist_can_end_warmup(mode, &before, required_tier2) { break; } @@ -420,25 +429,12 @@ fn worker(mode: &str, script: &str) -> Result<(), String> { break; } } - // Automatic tiering may queue one more version right after its first - // Tier 2 entry (a side path or a refreshed caller). Let that bounded tail - // of compilation settle before the steady state is timed; a sample whose - // compilation never settles is still rejected below. + // Both optimized modes can publish a leaf before its caller is ready. + // Execute the workload while draining the bounded tail of compilation. + let mut settled = true; if let Some(jit) = &jit { - if mode == "automatic" { - let settle_deadline = Instant::now() + Duration::from_secs(1); - let mut quiet_polls = 0; - while quiet_polls < 3 && Instant::now() < settle_deadline { - let _settle_checksum = invoke_workload(&context)?; - jit.poll(); - before = jit.metrics(); - if before.pending_worker_jobs == 0 && before.pending_snapshot_bytes == 0 { - quiet_polls += 1; - } else { - quiet_polls = 0; - std::thread::sleep(Duration::from_micros(200)); - } - } + if matches!(mode, "tier2" | "automatic") { + (before, settled) = settle_compilation(&context, jit, Duration::from_secs(1))?; } } phases.threshold_crossing_ns = ns(threshold_start.elapsed()); @@ -458,6 +454,14 @@ fn worker(mode: &str, script: &str) -> Result<(), String> { } else { 0 }; + let steady_start = jit.as_ref().map(Jit::metrics).unwrap_or_default(); + if required_tier2 + && (!settled + || !native_ready("tier2", &steady_start, required_installs) + || !compilation_quiet(&before, &steady_start)) + { + return Err("required Tier2 publications did not settle before timing".into()); + } let start = Instant::now(); let mut checksum = String::new(); for _ in 0..10 { @@ -467,6 +471,12 @@ fn worker(mode: &str, script: &str) -> Result<(), String> { } } phases.steady_state_ns = ns(start.elapsed()); + if required_tier2 { + let steady_end = jit.as_ref().map(Jit::metrics).unwrap_or_default(); + if !compilation_quiet(&steady_start, &steady_end) { + return Err("required Tier2 benchmark compiled during steady-state timing".into()); + } + } // A completion that landed during the last steady-state invocation is // drained by polling without further JavaScript execution; the timing // above is untouched. @@ -620,17 +630,64 @@ fn selected_workloads() -> Result, String> { } Ok(selected) } -fn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, tier1_ready_installs: u64) -> bool { +fn native_ready(mode: &str, m: &rquickjs_jit::JitMetrics, required_installs: u64) -> bool { match mode { "interpreter" => true, - "tier1" => m.native_entries > 0 && m.installed >= tier1_ready_installs, - "tier2" => m.tier2_entries > 0, + "tier1" => m.native_entries > 0 && m.installed >= required_installs, + "tier2" => { + m.tier2_entries > 0 + && m.installed >= required_installs + && m.pending_worker_jobs == 0 + && m.pending_snapshot_bytes == 0 + } "automatic" => { m.tier2_entries > 0 && m.pending_worker_jobs == 0 && m.pending_snapshot_bytes == 0 } _ => false, } } +fn blacklist_can_end_warmup( + mode: &str, + m: &rquickjs_jit::JitMetrics, + required_tier2: bool, +) -> bool { + mode != "automatic" + && !required_tier2 + && m.blacklisted > 0 + && m.pending_worker_jobs == 0 + && m.pending_snapshot_bytes == 0 +} + +fn compilation_quiet(before: &rquickjs_jit::JitMetrics, after: &rquickjs_jit::JitMetrics) -> bool { + after.pending_worker_jobs == 0 + && after.pending_snapshot_bytes == 0 + && after.installed == before.installed + && after.snapshot_requests == before.snapshot_requests +} + +fn settle_compilation( + context: &Context, + jit: &Jit, + timeout: Duration, +) -> Result<(rquickjs_jit::JitMetrics, bool), String> { + let deadline = Instant::now() + timeout; + let mut before = jit.metrics(); + let mut quiet_polls = 0; + while quiet_polls < 3 && Instant::now() < deadline { + invoke_workload(context)?; + jit.poll(); + let after = jit.metrics(); + if compilation_quiet(&before, &after) { + quiet_polls += 1; + } else { + quiet_polls = 0; + std::thread::sleep(Duration::from_micros(200)); + } + before = after; + } + Ok((before, quiet_polls >= 3)) +} + fn threshold_timeout(mode: &str) -> Duration { if mode == "interpreter" { Duration::ZERO @@ -1046,6 +1103,53 @@ mod tests { assert_eq!(threshold_timeout("interpreter"), Duration::ZERO); assert_eq!(threshold_timeout("automatic"), Duration::from_secs(2)); } + #[test] + fn forced_tier2_warmup_waits_for_the_required_publications_and_pending_compilation() { + let mut metrics = rquickjs_jit::JitMetrics::default(); + metrics.native_entries = 8; + metrics.tier2_entries = 1; + metrics.installed = 3; + // The optimized leaf is not evidence that its caller is ready. + assert!(!native_ready("tier2", &metrics, 4)); + metrics.installed = 4; + metrics.pending_worker_jobs = 1; + assert!(!native_ready("tier2", &metrics, 4)); + metrics.pending_worker_jobs = 0; + metrics.pending_snapshot_bytes = 1; + assert!(!native_ready("tier2", &metrics, 4)); + metrics.pending_snapshot_bytes = 0; + assert!(native_ready("tier2", &metrics, 4)); + } + + #[test] + fn explicit_tier2_requirement_cannot_be_bypassed_by_an_unrelated_blacklist() { + let mut metrics = rquickjs_jit::JitMetrics::default(); + metrics.blacklisted = 1; + assert!(!blacklist_can_end_warmup("tier2", &metrics, true)); + // Unsupported probes without a declaration retain bounded fallback. + assert!(blacklist_can_end_warmup("tier2", &metrics, false)); + metrics.pending_snapshot_bytes = 1; + assert!(!blacklist_can_end_warmup("tier2", &metrics, false)); + } + + #[test] + fn compilation_quiet_requires_stable_publications_and_snapshot_requests() { + let before = rquickjs_jit::JitMetrics::default(); + let mut after = before.clone(); + assert!(compilation_quiet(&before, &after)); + after.installed = 1; + assert!(!compilation_quiet(&before, &after)); + after.installed = 0; + after.snapshot_requests = 1; + assert!(!compilation_quiet(&before, &after)); + after.snapshot_requests = 0; + after.pending_worker_jobs = 1; + assert!(!compilation_quiet(&before, &after)); + after.pending_worker_jobs = 0; + after.pending_snapshot_bytes = 1; + assert!(!compilation_quiet(&before, &after)); + } + #[test] fn automatic_warmup_waits_for_tier2_and_pending_compilation() { let mut metrics = rquickjs_jit::JitMetrics::default(); @@ -1171,6 +1275,64 @@ mod tests { } } + #[cfg(all( + target_os = "linux", + target_endian = "little", + any(target_arch = "x86_64", target_arch = "aarch64") + ))] + #[test] + fn forced_tier2_direct_call_probe_is_quiet_and_direct_during_steady_execution() { + let runtime = Runtime::new().unwrap(); + let jit = Jit::attach( + &runtime, + JitConfig::builder() + .call_threshold(1) + .loop_threshold(1) + .tier_policy(JitTierPolicy::Optimize) + .force_optimized_for_test(true) + .build() + .unwrap(), + ) + .unwrap(); + let context = Context::full(&runtime).unwrap(); + let source = + fs::read(Path::new(env!("CARGO_MANIFEST_DIR")).join("scripts/call-heavy.js")).unwrap(); + context + .with(|ctx| ctx.eval::<(), _>(source.as_slice())) + .unwrap(); + let required = context + .with(|ctx| ctx.eval::("globalThis.tier2ReadyInstalls")) + .unwrap(); + let deadline = Instant::now() + Duration::from_secs(60); + while Instant::now() < deadline { + invoke_workload(&context).unwrap(); + jit.poll(); + if native_ready("tier2", &jit.metrics(), required) { + break; + } + std::thread::sleep(Duration::from_micros(50)); + } + let (before, settled) = + settle_compilation(&context, &jit, Duration::from_secs(60)).unwrap(); + assert!( + settled && native_ready("tier2", &before, required), + "{before:?}" + ); + for _ in 0..10 { + invoke_workload(&context).unwrap(); + jit.poll(); + } + let after = jit.metrics(); + assert!(compilation_quiet(&before, &after)); + let entries = after.tier2_entries - before.tier2_entries; + assert!( + (10..=20).contains(&entries), + "steady Tier2 entries: {entries}" + ); + assert_eq!(after.native_fallbacks, before.native_fallbacks); + assert_eq!(after.native_retries, before.native_retries); + } + #[cfg(all( target_os = "linux", target_endian = "little", diff --git a/benchmarks/scripts/call-heavy.js b/benchmarks/scripts/call-heavy.js index a091c89b..c3103506 100644 --- a/benchmarks/scripts/call-heavy.js +++ b/benchmarks/scripts/call-heavy.js @@ -7,6 +7,8 @@ globalThis.workloadArgument = increment; // The leaf, initial caller, and direct-edge caller refresh must all publish // before the harness starts steady-state timing. globalThis.tier1ReadyInstalls = 3; +// Forced Tier 2 needs both baseline and both optimizing publications. +globalThis.tier2ReadyInstalls = 4; function workload(iterations, seed, target) { let value = seed; diff --git a/benchmarks/suites.lock b/benchmarks/suites.lock index 578f48e1..8a33f588 100644 --- a/benchmarks/suites.lock +++ b/benchmarks/suites.lock @@ -43,7 +43,7 @@ commit = "local" subdirectory = "benchmarks/scripts/call-heavy.js" license = "workspace" upstream_sha256 = "not-applicable-local-workload" -adapted_sha256 = "596e2e860b92e275a0cb75ddaac1666716d1ec289acd15f0b845c496a8292b26" +adapted_sha256 = "a6cc40c5fb963f376a4fd35469a59a23b37420c564756319bc6d9c19b35f8fb0" [[suite]] name = "rquickjs-jit-focused-property-heavy" @@ -52,7 +52,7 @@ commit = "local" subdirectory = "benchmarks/scripts/property-heavy.js" license = "workspace" upstream_sha256 = "not-applicable-local-workload" -adapted_sha256 = "a7cf0d0becdccf186b5318d414ea4775a8d68332e205550bb013d382b19390f7" +adapted_sha256 = "10bf81e6d712b8980df2a404be0d0456de92df5afc22ae30e5c086a33dea30cb" [[suite]] name = "rquickjs-jit-focused-fibonacci-iterative" @@ -79,7 +79,7 @@ commit = "local" subdirectory = "benchmarks/scripts/float64-dense.js" license = "workspace" upstream_sha256 = "not-applicable-local-workload" -adapted_sha256 = "103f871a1964ff7fe96afdaf93465c2e4870da09cc81c3cbe916b744a00d0240" +adapted_sha256 = "35220498f859305ab3444f165af3e004136cc69c71bfb19683bbdce24db0163b" [[suite]] name = "rquickjs-jit-matrix-strings-regexp" @@ -97,7 +97,7 @@ commit = "local" subdirectory = "benchmarks/scripts/arrays-typed.js" license = "workspace" upstream_sha256 = "not-applicable-local-workload" -adapted_sha256 = "b44c77ea68743bb98d503e9ce194e9ef07c0c7d29bb4ff5ea7e9d2c05f9cbf13" +adapted_sha256 = "a19284a8c4e7613bfdee18131871f5865f62f05e893d188511209426a5b7687b" [[suite]] name = "rquickjs-jit-matrix-objects-polymorphic" diff --git a/docs/M3.md b/docs/M3.md index 55b502ed..0204d1ad 100644 --- a/docs/M3.md +++ b/docs/M3.md @@ -322,3 +322,116 @@ as no regression. Both repeats, including raw samples and executable hashes, are archived as [direct-call repeat](../benchmarks/results/m3-pc-cursor-call-heavy-recheck.json) and [scalar-loop repeat](../benchmarks/results/m3-pc-cursor-scalar-loop-recheck.json). The broader performance acceptance gate and real host evidence remain open. + + +### Native execution timing stack + +After PR #18 merged as `a38bd01`, profiling still attributed substantial +cycles to hash lookups on native enter and exit. The active timing records now +use one `Vec<(FunctionKey, Instant, Tier)>` rather than a hash map of per-function +vectors. Each enter pushes its original key and tier; a matching exit consumes +the top record. An empty or mismatched exit leaves other active records intact. +Counters, clock reads, return feedback, profitability accounting and exact +metric publication remain in place. + +C brackets every actual native entry with a synchronous enter/exit pair, +including OSR, recursion and all exit kinds. Release callbacks occur after exit +accounting, and any reentry completes its own nested pair. Invalidation retains +the captured identity; retirement must not discard active timing records. +Suspension/detach reject active backend depth. Numeric direct calls bypass both +callbacks, so they cannot introduce unmatched timing records. Independent +lifecycle and implementation reviews found no remaining issue. + +The allocation regression measures only the timing-record insertion for 100 +sequential distinct functions after warming one active slot. The old map +allocated/reallocated 105 times; the stack allocates zero times. Profile creation +on exit is intentionally outside that measurement. Additional tests preserve +original recursive tiers through retirement, OSR/retry/deopt/exception exits, +and unmatched/empty callback handling. The candidate passes 515 release runtime +tests, 87 AddressSanitizer/LeakSanitizer tests, and full-workspace Clippy. + +The enlarged Tier 1 diagnostic profile is archived in +[`m3-timing-stack-profile.json`](../benchmarks/results/m3-timing-stack-profile.json). +It records sampled attribution and reproduction inputs, not a speed acceptance +result. The remaining feedback tables, tier-state queries, helper validation, +clock reads and metric publication are still significant costs. + + +### Tier 2 benchmark readiness correction + +The initial timing-stack control exposed a benchmark defect: forced Tier 2 +started timing after any Tier 2 entry, including a leaf whose caller was still +being compiled. In the direct-call diagnostic, 11 of 30 candidate samples and +4 of 30 pre-stack samples exceeded 1 ms; the remaining samples were near +0.32 ms. Those broad, bimodal intervals cannot establish settled steady-state +performance. The original raw evidence remains archived in +`m3-timing-stack-*-paired.json`, with the exact old harness source and this +limitation attached. Its native counters include warmup and must not be read +as steady-state entry deltas. + +`call-heavy.js` now declares four required publications for forced Tier 2: +two baseline and two optimizing artifacts. Readiness also requires actual +Tier 2 execution and drained worker/snapshot queues. An unrelated blacklist +cannot bypass the explicit requirement. Both optimized modes execute bounded +settling iterations with unchanged publication and snapshot-request counts. +The explicit forced-Tier2 path checks readiness again after the OSR probe and +rejects compilation during timing before any post-timing drain can hide it. +Unsupported probes without the declaration remain eligible for bounded fallback. + +The leaf-only readiness regression fails before the fix. The corrected harness +passes all 28 benchmark tests, including a real direct-call test whose ten +1,000-iteration invocations add only 10–20 Tier 2 entries after settling, with +no new publication, fallback or retry. The two new forced-Tier2 tests also pass +AddressSanitizer/LeakSanitizer. Independent review caught the changed script's +stale lock hash; that hash was updated. An audit also corrected three existing +stale local hashes (property-heavy, float64-dense and arrays-typed), without +changing those workload bodies. Historical reports retain their original +provenance; their recorded hashes were not rewritten. + +Both the merged `a38bd01` runtime and the timing-stack runtime were rebuilt +with the same corrected harness for fresh paired measurements. In the new +30-pair direct-call Tier 2 comparison, all 60 samples were between 0.315 and +0.405 ms; none exceeded 1 ms. The two runtimes are statistically tied on this +path. Use the corrected-harness reports for current performance conclusions. + + +The corrected-harness comparison uses five discarded warmups, 30 fresh paired +processes, ten one-second-minimum throughput windows per engine/mode, and +10,000 paired bootstrap resamples on CPU 0. Engine order alternates independently +of mode order: each engine runs first 15 times per latency mode and five times +per throughput mode. An earlier two-engine run had coupled rotations that +failed to balance order; the final reports replace that run. All checksums agree and native +entries/exits balance. The baseline is the merged M3 runtime (`a38bd01`), not +M2. These are dirty-source diagnostics; they do not replace the full clean-source +acceptance matrix. + +| Workload / mode | Timing-stack speed relative to merged M3 | Paired 95% interval | +|---|---:|---:| +| Generic call / Tier 1 | 1.016x | 0.627x–1.040x (tied) | +| Generic call / requested Tier 2, actually Tier 1 | 1.006x | 1.002x–1.010x | +| Generic call / automatic, actually Tier 1 | 1.011x | 1.000094x–1.015646x | +| Recursive Fibonacci / Tier 1 | 1.029x | 0.907x–1.184x (tied) | +| Scalar loop / Tier 2 | 1.011x | 1.002x–1.024x | +| Scalar loop / automatic | 1.007x | 1.002x–1.015x | + +All direct-call modes, all recursive modes, and all interpreter comparisons +are statistically tied. Direct-call Tier 2 is between 0.3% slower and 0.5% +faster. Generic Tier 1 has substantial long tails in both engines and is tied +between 37.3% slower and 4.0% faster; recursive Tier 1 is tied between 9.3% +slower and 18.4% faster. Their causes have not been isolated, and the earlier +narrow Tier 1 improvement intervals are not supported by this final run. +The generic automatic interval only narrowly excludes parity. Scalar-loop +improvements are controls and do not establish a timing-stack-specific cause. +Automatic recursion again has zero native entries and is only an +interpreter-path control. These measurements do not establish an overall +speedup or no-regression result. The fresh runtime comparison, balanced +execution orders, and exact harness source are archived together: + +- [Generic calls](../benchmarks/results/m3-timing-stack-settled-generic-call-entry-paired.json) +- [Direct calls](../benchmarks/results/m3-timing-stack-settled-call-heavy-paired.json) +- [Recursive Fibonacci](../benchmarks/results/m3-timing-stack-settled-fibonacci-recursive-paired.json) +- [Scalar loop](../benchmarks/results/m3-timing-stack-settled-scalar-loop-paired.json) + +The per-call bookkeeping target remains active. Repeated coordinator tier-state +queries and repeated B-tree searches in feedback observation are the next +identified costs; no implementation of those follow-ups is included here. diff --git a/docs/NEXT_SESSION_GOAL.md b/docs/NEXT_SESSION_GOAL.md index 832a6421..8c837e22 100644 --- a/docs/NEXT_SESSION_GOAL.md +++ b/docs/NEXT_SESSION_GOAL.md @@ -365,3 +365,48 @@ retirement; check the top key before consuming, and preserve empty-stack handling for the test that sends DEOPT exit without an enter. This next change is not implemented. Feedback observation, tier-state lookups, and exact metric publication also remain substantial sampled costs. + + +PR #18 merged as a38bd01. Work continued on perf/m3-native-timing-stack: +active execution timers now use one LIFO Vec with exact key/tier attribution, +replacing the per-function hash map of vectors. The insertion allocation +regression goes from 105 allocations/reallocations to zero across 100 distinct +sequential functions after warming one slot. The runtime passes 515 release +tests and 87 ASAN/LSAN tests; independent review found no remaining issue. + +The first direct-call Tier2 diagnostic exposed premature benchmark readiness +(leaf optimized before caller). The harness now honors explicit +`tier2ReadyInstalls` (four for call-heavy), blocks the blacklist shortcut for +that requirement, executes stable quiet iterations, and rejects required-Tier2 +compilation during timing. Unsupported probes keep bounded fallback. All 28 +benchmark tests pass, including a real direct-call steady entry-delta check; +the two forced-Tier2 tests also pass ASAN/LSAN. Updated script checksums include +three pre-existing stale local entries; those other script bodies are unchanged. + +Both merged-M3 and timing-stack runtimes were rebuilt with the corrected +harness. Four fresh 5/30/10 paired comparisons are archived under +`benchmarks/results/m3-timing-stack-settled-*-paired.json`. Relative to merged +M3, generic automatic is 1.011x speed (interval only narrowly above parity). +Generic Tier1 and recursive Tier1 are tied with wide intervals and long tails; +do not retain the earlier narrow improvement claims. Direct calls and interpreter +controls are tied; scalar Tier2 is 1.011x and automatic 1.007x, without isolated +causal attribution. Final engine order is balanced independently of mode order +(15/15 latency, 5/5 throughput); it supersedes an unbalanced two-engine run. Generic +requested Tier2 still executes Tier1; automatic recursion still has no native +entries. Original diagnostics are retained with the old harness and explicit +readiness limitations. All measurement processes for this step have finished. +The clean-source acceptance result still predates these changes and remains +incomplete/failing; do not call the broader overhead target complete. + +Next read-only investigations found two bounded opportunities, not implemented: +- In ProductionBackend::record_hot, capture baseline tier_state once after + maintenance_if_due(false). Subsequent feedback does not change publication; + failed prepare_baseline_direct_refresh leaves state unchanged, and success + immediately returns. Reuse the local value instead of three lookups. +- FeedbackTable::observe_type performs contains_key/get/entry on the same + BTreeMap; use one entry match, rejecting only vacant entries at capacity and + preserving saturated drop counts and wrapping version updates. observe_call + can likewise derive is_new from the entry match; calls do not share the type + table capacity. Add focused version/full-capacity/zero-arity/widening coverage + before changing these routines. Keep every admitted observation and exact + generation identity; do not skip feedback simply because timing is expensive. diff --git a/jit/src/lib.rs b/jit/src/lib.rs index 904a1186..8693e297 100644 --- a/jit/src/lib.rs +++ b/jit/src/lib.rs @@ -553,8 +553,9 @@ struct ProductionBackend { // retain their own tier in execution_starts across recursive replacement. entry_tiers: std::collections::HashMap, entry_cache_epoch: u64, - execution_starts: - std::collections::HashMap>, + // C brackets each native invocation with a synchronous enter/exit pair. + // Keep active records through retirement and preserve each invocation's tier. + execution_starts: Vec<(runtime::FunctionKey, std::time::Instant, runtime::Tier)>, execution_profiles: std::collections::HashMap, profitability_evaluations: u64, profitability_approved: u64, @@ -1328,7 +1329,7 @@ impl ProductionBackend { adaptive_inputs_recorded: 0, snapshot_requests: 0, stable_path_compile_requests: 0, - execution_starts: std::collections::HashMap::new(), + execution_starts: Vec::new(), entry_tiers: std::collections::HashMap::new(), entry_cache_epoch: 1, execution_profiles: std::collections::HashMap::new(), @@ -2370,9 +2371,7 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend { self.osr_attempts = self.osr_attempts.saturating_add(1); } self.execution_starts - .entry(key) - .or_default() - .push((std::time::Instant::now(), tier)); + .push((key, std::time::Instant::now(), tier)); } fn native_exit(&mut self, id: u64, generation: u64, pc: u32, exit_kind: u32) { @@ -2387,7 +2386,15 @@ unsafe impl rquickjs_core::runtime::JitBackend for ProductionBackend { .observe_return(key, NATIVE_RETURN_FEEDBACK_PC, observed); } } - if let Some((start, tier)) = self.execution_starts.get_mut(&key).and_then(Vec::pop) { + // An unmatched callback must not discard a different active timer. + // Actual C invocations, including recursive and OSR entries, are LIFO. + if let Some((_, start, tier)) = self + .execution_starts + .last() + .copied() + .filter(|(active, _, _)| *active == key) + { + self.execution_starts.pop(); let elapsed = start.elapsed().as_nanos().try_into().unwrap_or(u64::MAX); let optimized = tier == runtime::Tier::Optimizing; let profile = self.execution_profiles.entry(key).or_default(); @@ -2722,6 +2729,107 @@ mod production_environment_tests { event } + #[test] + fn sequential_native_entries_reuse_timing_storage_across_functions() { + use rquickjs_core::{qjs, runtime::JitBackend}; + let mut backend = ProductionBackend::new( + 1, + &abi::AbiInfo::linked().unwrap(), + JitConfig::default(), + Arc::new(Mutex::new(JitMetrics::default())), + ) + .unwrap(); + backend.native_enter(1, 1, 0); + backend.native_exit(1, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + let mut allocations = 0; + for id in 2..102 { + ALLOCATIONS.with(|count| count.set(Some(0))); + backend.native_enter(id, 1, 0); + allocations += ALLOCATIONS.with(|count| count.replace(None).unwrap()); + // Profile creation on exit is separate from storing an active timer. + backend.native_exit(id, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + } + assert_eq!( + allocations, 0, + "sequential entries must reuse warmed timing storage" + ); + assert_eq!((backend.native_entries, backend.native_exits), (101, 101)); + backend.runtime_detach(); + } + + #[test] + fn native_timing_preserves_recursive_tiers_across_retirement_and_exit_kinds() { + use rquickjs_core::{qjs, runtime::JitBackend}; + use runtime::{FunctionKey, Tier}; + let mut backend = ProductionBackend::new( + 1, + &abi::AbiInfo::linked().unwrap(), + JitConfig::default(), + Arc::new(Mutex::new(JitMetrics::default())), + ) + .unwrap(); + let outer = FunctionKey::new(7, 3); + let inner = FunctionKey::new(8, 4); + backend.entry_tiers.insert(outer, Tier::Baseline); + backend.native_enter(7, 3, 0); + backend.entry_tiers.insert(inner, Tier::Optimizing); + backend.native_enter(8, 4, 12); + backend.entry_tiers.insert(outer, Tier::Optimizing); + backend.native_enter(7, 3, 0); + backend.function_retire(7, 3); + backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DEOPT); + backend.native_exit(8, 4, 12, qjs::JSJitExitKind_JS_JIT_EXIT_RETRY_INTERPRETER); + backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + let a = backend.execution_profiles[&outer]; + let b = backend.execution_profiles[&inner]; + assert_eq!((a.baseline_executions, a.optimized_executions), (1, 1)); + assert_eq!((b.baseline_executions, b.optimized_executions), (0, 1)); + assert_eq!( + ( + backend.native_entries, + backend.native_exits, + backend.osr_attempts + ), + (3, 3, 1) + ); + backend.runtime_detach(); + } + + #[test] + fn unmatched_native_exit_does_not_consume_another_active_timer() { + use rquickjs_core::{qjs, runtime::JitBackend}; + use runtime::FunctionKey; + let mut backend = ProductionBackend::new( + 1, + &abi::AbiInfo::linked().unwrap(), + JitConfig::default(), + Arc::new(Mutex::new(JitMetrics::default())), + ) + .unwrap(); + backend.native_exit(99, 1, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + backend.native_enter(7, 3, 0); + backend.native_enter(8, 4, 0); + // Defensive behavior for invalid callback order; C's real pairs are LIFO. + backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + assert!(!backend + .execution_profiles + .contains_key(&FunctionKey::new(7, 3))); + backend.native_exit(8, 4, 0, qjs::JSJitExitKind_JS_JIT_EXIT_EXCEPTION); + backend.native_exit(7, 3, 0, qjs::JSJitExitKind_JS_JIT_EXIT_DONE); + assert_eq!( + backend.execution_profiles[&FunctionKey::new(7, 3)].baseline_executions, + 1 + ); + assert_eq!( + backend.execution_profiles[&FunctionKey::new(8, 4)].baseline_executions, + 1 + ); + assert!(!backend + .execution_profiles + .contains_key(&FunctionKey::new(99, 1))); + backend.runtime_detach(); + } + #[test] fn stable_call_feedback_does_not_allocate_after_warmup() { use rquickjs_core::{qjs, runtime::JitBackend};