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"d978fdb09435ac2e782618ab8d7dc0c68ea415685da52d65d37cc12987cf6913" }, "analysis_source_archive": { "review_mono.py": { "sha256": "d9d2432cff697d58140e7d1159bc97bb43beb3b252e27ac27f788dd21bc49d3c", "source": "\"\"\"Offline full MONO rank/JIT review; preserves warmup shedding, never imports.\"\"\"\nimport argparse\nfrom collections import Counter\nfrom decimal import Decimal\nimport hashlib\nimport json\nfrom pathlib import Path\nimport re\nimport statistics\nimport sys\n\nROOT = Path('/home/yann/code/libhft')\nsys.dont_write_bytecode = True\nsys.path.insert(0, str(ROOT/'bench/load'))\nfrom candidate_raw_metrics import (rank, require_exact_marker, mean_text,\n check_fields, max_fields, SERVICE, RESPONSE, SCHEDULER)\nfrom diagnostic_audit import terminal_text\nfrom open_schedule_audit import require_v4\nfrom open_schedule_v4 import Schedule\nfrom pacing_v4_audit import raw_capture, complete_results\n\nEVENT = re.compile(r'^\\[([0-9]+)ns\\]\\[([0-9]+)ns\\]\\[([0-9]+)\\]\\[([0-9]+)\\]'\n r'\\[debug\\]\\[jit,compilation\\]\\s+(.+)$')\nSTATUSES = ['PASS', 'INSUFFICIENT', 'WARN', 'FAIL']\n\n\ndef sha(path):\n return hashlib.sha256(path.read_bytes()).hexdigest()\n\n\ndef quantiles(values):\n ordered = sorted(values)\n return {name: ordered[rank(len(ordered), n, d)] for name, n, d in\n (('p50', 1, 2), ('p99', 99, 100), ('p999', 999, 1000), ('max', 1, 1))}\n\n\ndef stability(runs):\n cvs = {key: statistics.stdev([r['service_ns'][key] for r in runs]) /\n statistics.mean(r['service_ns'][key] for r in runs) for key in ('p50', 'p99', 'p999')}\n verdict = 'PASS'\n if any(cvs[k] > v for k, v in zip(cvs, (.10, .25, .50))):\n verdict = 'FAIL'\n elif any(cvs[k] > v for k, v in zip(cvs, (.05, .10, .25))):\n verdict = 'WARN'\n return dict(status=verdict, sample_cv_pct={k: v*100 for k, v in cvs.items()})\n\n\ndef events_from(path, role, combined):\n text = terminal_text(path.read_text())\n assert text.count('bench_java_jit_log enabled=true canonical=false') == 1\n assert text.count('bench_java_jit_policy tiered=false canonical=false') == int(combined)\n assert text.count('bench_java_jit_policy method_trap_limit=0 canonical=false') == int(combined)\n assert 'bench_java_phase_timing' not in text and 'diagnostic-open-phase-timing' not in text\n events = []\n for number, line in enumerate(text.splitlines(), 1):\n if '[jit,compilation]' not in line:\n continue\n match = EVENT.fullmatch(line)\n assert match, (number, line)\n stamp, uptime, pid, tid, body = match.groups()\n method = re.search(r'([\\w.$/]+::[^\\s(]+)', body)\n events.append(dict(id=f'{role}:{number}', role=role, line=number,\n stamp_ns=int(stamp), uptime_ns=int(uptime), pid=int(pid), tid=int(tid),\n body=body, method=method[1] if method else None,\n application=bool(re.search(r'(?:org\\.latency\\.|com\\.atrekes\\.libhft\\.)', body)),\n state='not_entrant' if 'made not entrant' in body else\n 'zombie' if 'made zombie' in body else 'compilation'))\n assert events and len({e['pid'] for e in events}) == 1\n return text, events\n\n\ndef analyze(sitting, combined):\n completion = json.loads((sitting/'completion.json').read_text())\n base = json.loads((sitting/'review.json').read_text())\n assert completion['harness_exit'] == 0 and completion['source_unchanged'] and completion['runtime_unchanged']\n assert not completion['remaining_fix_processes']\n directory = sitting/'run'\n proof = require_v4(directory)\n flavour, transport, scenario = proof['cell']\n assert flavour == 'java-pure' and scenario == 'mono'\n schedule = Schedule(50000, 32, 4)\n assert proof['schedule']['rate'] == 50000 and proof['schedule']['sessions'] == 32\n assert proof['schedule']['runs'] == 3 and proof['schedule']['measured_iterations'] == 20000\n releases = {(int(p['run']), p['phase']): int(p['epoch_ns']) for p in proof['releases']}\n files = {}\n for name in ('before.json', 'completion.json', 'review.json', 'clock-probe.json',\n 'pinning-audit.log', 'live-pinning-watch.log', 'raw-delivery-review.json'):\n files[str(sitting/name)] = sha(sitting/name)\n for path in (Path(__file__), ROOT/'bench/java/hft-bench/src/main/java/com/atrekes/libhft/hftbench/ProbeStabilityStats.java',\n sitting.parent/'control.py', sitting.parent/'bench-jit.sh', sitting.parent/'installed-proof.json'):\n files[str(path)] = sha(path)\n for path, digest in proof['input_sha256'].items():\n assert sha(Path(path)) == digest\n files[path] = digest\n server_text, server_events = events_from(directory/'transcript.log', 'server', combined)\n all_events, clients, phase_rows = list(server_events), [], []\n for process in range(4):\n path = directory/f'java-pure_{transport}_{process+1}.log'\n text, events = events_from(path, f'client{process}', combined)\n all_events.extend(events)\n files[str(path)] = sha(path)\n require_exact_marker(text)\n rows, stale = complete_results(text, schedule, 3, 20000, 'libhft_java')\n assert stale == 0\n phases = [dict(re.findall(r'(\\w+)=([^\\s]+)', line)) for line in text.splitlines()\n if line.startswith('bench_phase_completion ')]\n assert len(phases) == 6\n assert {(p['run'], p['phase']) for p in phases} == {(str(r), phase) for r in (1,2,3) for phase in ('warmup','measured')}\n for phase in phases:\n assert phase['planned'] == phase['consumed'] == '160000'\n assert phase['client_index'] == str(process) and phase['sent'] == phase['completed']\n assert int(phase['sent']) + int(phase['cap_shed']) + int(phase['send_refused']) == 160000\n assert phase['inflight_cap'] == '512' and phase['drained'] == 'true'\n assert phase['outstanding'] == '0' and phase['failure_reason'] == 'none'\n if phase['phase'] == 'measured':\n assert phase['sent'] == '160000' and phase['cap_shed'] == phase['send_refused'] == '0'\n phase_rows.append(phase)\n raw_path = directory/'raw'/f'mono_java-pure_{transport}_{process+1}.hftbrw'\n capture, metadata = raw_capture(raw_path, schedule, 3, 20000, 'libhft_java')\n files[str(raw_path)] = metadata['sha256']\n app = [e for e in server_events + events if e['application']]\n sessions, windows = [], {r: [None, None] for r in (1,2,3)}\n for session in range(8):\n runs = []\n for run in (1,2,3):\n epoch = releases[run, 'measured']\n service, slip, response = (capture[run, session, p] for p in ('end_to_end','scheduler_delay','response'))\n assert all(s+d == r for s,d,r in zip(service,slip,response))\n # Ordinal is local to the process, not to this session.\n def point(index):\n due = schedule.due(epoch, process, session+8*index)\n lo, hi = due+slip[index], due+response[index]\n return dict(ordinal_zero_based=index, service_ns=service[index],\n response_ns=response[index], scheduler_ns=slip[index],\n actual_ns=lo, completion_ns=hi,\n application_events_in_interval=[e['id'] for e in app if lo <= e['stamp_ns'] <= hi])\n first, last = point(0), point(19999)\n lo, hi = windows[run]\n windows[run] = [min(first['actual_ns'], lo) if lo is not None else first['actual_ns'],\n max(last['completion_ns'], hi) if hi is not None else last['completion_ns']]\n runs.append(dict(run=run, service_ns=quantiles(service), response_ns=quantiles(response),\n scheduler_ns=quantiles(slip), first_sample=first,\n max_sample=point(max(range(20000), key=service.__getitem__))))\n expected = {}\n for fields, group in ((SERVICE,'service_ns'), (RESPONSE,'response_ns')):\n for field, key in zip(fields, ('p50','p99','p999','max')):\n expected[field] = mean_text(sum(r[group][key] for r in runs), 3, 'libhft_java')\n expected[SCHEDULER] = mean_text(sum(r['scheduler_ns']['p99'] for r in runs), 3, 'libhft_java')\n check_fields(rows[str(session)], expected, f'client={process} session={session}')\n replay = stability(runs)\n assert replay['status'] == rows[str(session)]['stability']\n sessions.append(dict(local_session=session, stability=replay, runs=runs, logged_run_means_us=expected))\n aggregate = max_fields([s['logged_run_means_us'] for s in sessions])\n check_fields(rows['agg'], aggregate, f'client={process} aggregate')\n assert max((s['stability']['status'] for s in sessions), key=STATUSES.index) == rows['agg']['stability']\n clients.append(dict(client_index=process, sessions=sessions, aggregate=rows['agg'],\n measured_windows=[dict(run=r, first_task_start_ns=lo, last_completion_ns=hi,\n application_event_ids=[e['id'] for e in app if lo <= e['stamp_ns'] <= hi])\n for r, (lo,hi) in windows.items()]))\n del capture\n assert len({e['pid'] for e in all_events}) == 5\n counts = Counter(s['stability']['status'] for c in clients for s in c['sessions'])\n measured_events = []\n for run in (1,2,3):\n ids = sorted({e for c in clients for w in c['measured_windows'] if w['run']==run for e in w['application_event_ids']})\n measured_events.append(dict(run=run, count=len(ids), application_event_ids=ids))\n summary_phases = {}\n for phase in ('warmup','measured'):\n summary_phases[phase] = {key: sum(int(p[key]) for p in phase_rows if p['phase']==phase)\n for key in ('planned','consumed','sent','completed','cap_shed','send_refused','outstanding')}\n for path, digest in files.items():\n assert sha(Path(path)) == digest, path\n metrics = max_fields([c['aggregate'] for c in clients])\n report = dict(cell='/'.join(proof['cell']), source_commit=completion['source_commit'],\n finished_utc=completion['finished_utc'], diagnostic_only=True, publishable=False,\n compilation_policy=('non-tiered + PerMethodTrapLimit=0' if combined else 'default tiered/trap policy') + '; JIT logging on both endpoints; no phase timing',\n recipe=dict(rate_per_cell=50000, rate_per_session='1562.5', sessions=32, client_processes=4,\n runs=3, warmup_per_session_per_run=20000, measured_per_session_per_run=20000, inflight_cap_per_client=512),\n phase_totals=summary_phases, phase_records=phase_rows,\n session_stability_counts={s: counts[s] for s in STATUSES},\n aggregate_stability_by_client=[c['aggregate']['stability'] for c in clients],\n cell_max_of_logged_run_means_us=metrics,\n measured_application_events_by_run=measured_events,\n application_events=[e for e in all_events if e['application']], total_jit_records=len(all_events),\n clients=clients, hashes=files, audits=base,\n limitations=[\n 'Instrumented JVM-policy control only; no canonical import or policy qualification.',\n 'Warmup shedding is retained separately from the complete measured raw series.',\n 'Cell values are maxima of per-session three-run means, not a pooled percentile or absolute maximum.',\n 'Stability thresholds replay the Java implementation using sample standard deviation across three measured runs.',\n 'JIT log emission timestamps show chronology, not duration or causal pauses; logging can perturb timing.',\n 'Measured event windows include client-local processing gaps; only that client and the common server are associated.',\n 'Live affinity is sampled, not continuous; actual MONO clients follow configured 11,12,13,15 and server10; VMA maintenance14.',\n 'No samples discarded, gates relaxed, or different attempts pooled.'])\n with (sitting/'mono-jit-review.json').open('x') as output:\n json.dump(report, output, indent=2)\n output.write('\\n')\n print(json.dumps({k: report[k] for k in ('cell','compilation_policy','phase_totals','session_stability_counts',\n 'aggregate_stability_by_client','cell_max_of_logged_run_means_us','measured_application_events_by_run')}, indent=2))\n\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser(description=__doc__)\n parser.add_argument('sitting', type=Path)\n parser.add_argument('--combined', action='store_true')\n args = parser.parse_args()\n analyze(args.sitting.resolve(strict=True), args.combined)\n" }, "review_historical.py": { "sha256": "7f6d9a926f68e7e8dd50b83f93762a8c1fe906ce99ef9f3ee4e4971b520d704c", "source": "\"\"\"Explain retained September 8 MONO partials from original measured raw samples.\"\"\"\nfrom collections import Counter\nimport json\nfrom pathlib import Path\nfrom review_mono import (ROOT, sha, quantiles, stability, require_exact_marker,\n require_v4, raw_capture, complete_results, Schedule,\n mean_text, check_fields, max_fields, SERVICE, RESPONSE, SCHEDULER)\n\nHERE = Path(__file__).resolve().parent\narchive = ROOT/'docs/bench/open-sweep-scan-mellanox-initial-v4.json'\nresults = json.loads(archive.read_text())['results']\nschedule = Schedule(50000, 32, 4)\nreports = []\nhashes = {str(archive): sha(archive), str(Path(__file__)): sha(Path(__file__)),\n str(HERE/'review_mono.py'): sha(HERE/'review_mono.py')}\nfor transport in ('kernel', 'vma'):\n old = next(r for r in results if r['cell'] == f'java-pure/{transport}/mono')\n directory = Path(old['evidence'])\n proof = require_v4(directory)\n assert proof['cell'] == ['java-pure',transport,'mono'] and old['status'] == 'partial'\n hashes.update(proof['input_sha256'])\n sessions, aggregates = [], []\n for process in range(4):\n log = directory/f'java-pure_{transport}_{process+1}.log'\n text = log.read_text()\n require_exact_marker(text)\n rows, stale = complete_results(text, schedule, 3, 20000, 'libhft_java')\n assert stale == 0\n raw = directory/'raw'/f'mono_java-pure_{transport}_{process+1}.hftbrw'\n capture, metadata = raw_capture(raw,schedule,3,20000,'libhft_java')\n hashes[str(raw)] = metadata['sha256']\n local_means = []\n for local in range(8):\n runs = []\n for run in (1,2,3):\n s,d,r = (capture[run,local,p] for p in ('end_to_end','scheduler_delay','response'))\n assert all(a+b == c for a,b,c in zip(s,d,r))\n runs.append(dict(run=run,service_ns=quantiles(s),response_ns=quantiles(r),scheduler_ns=quantiles(d)))\n expected = {}\n for fields,group in ((SERVICE,'service_ns'),(RESPONSE,'response_ns')):\n for field,key in zip(fields,('p50','p99','p999','max')):\n expected[field] = mean_text(sum(r[group][key] for r in runs),3,'libhft_java')\n expected[SCHEDULER] = mean_text(sum(r['scheduler_ns']['p99'] for r in runs),3,'libhft_java')\n check_fields(rows[str(local)],expected,f'historical {transport} {process}/{local}')\n local_means.append(expected)\n replay = stability(runs)\n assert replay['status'] == rows[str(local)]['stability']\n sessions.append(dict(client_index=process,local_session=local,runs=runs,stability=replay))\n aggregate = max_fields(local_means)\n check_fields(rows['agg'],aggregate,f'historical {transport} {process}/agg')\n aggregates.append(aggregate)\n del capture\n cell = max_fields(aggregates)\n for field in SERVICE + RESPONSE:\n public_field = {'worst_us':'max_us','resp_worst_us':'resp_max_us'}.get(field,field)\n assert cell[field] == old[public_field]\n counts = Counter(s['stability']['status'] for s in sessions)\n reports.append(dict(cell=old['cell'],original_public_record=old,\n measured_completed=1920000,measured_deficit=0,stale_replies=0,\n session_stability_counts=dict(counts),sessions=sessions,\n unstable_sessions=[s for s in sessions if s['stability']['status'] in ('WARN','FAIL')]))\nfor path,digest in hashes.items():\n assert sha(Path(path)) == digest\nreport = dict(kind='historical_mono_partial_replay',publishable=False,canonical_rows_unchanged=True,\n cells=reports,hashes=hashes,limitations=[\n 'Original September 8 evidence, not the same-binary logged September 10 policy controls.',\n 'Replays measured service stability and exact logged quantiles; no new benchmark or import.',\n 'No original JIT chronology was recorded; percentile drift alone does not establish a compiler cause.',\n 'All measured samples and each original WARN status are retained, never pooled with later controls.'])\nwith (HERE/'historical-mono-partial-review.json').open('x') as output:\n json.dump(report,output,indent=2)\n output.write('\\n')\nprint(json.dumps([dict(cell=r['cell'],counts=r['session_stability_counts'],\n unstable=[dict(client_index=s['client_index'],local_session=s['local_session'],\n stability=s['stability'],ranks=[r['service_ns'] for r in s['runs']])\n for s in r['unstable_sessions']]) for r in reports],indent=2))\n" }, "verify.py": { "sha256": "1cfd8de3adc5b52237f38202b2bc3abc4286f09b3d00a20f94523c57fe1bd1a3", "source": "\"\"\"Verify the four MONO controls and publication snapshot; no new benchmark or build.\"\"\"\nimport fcntl\nimport importlib.util\nimport json\nimport os\nfrom pathlib import Path\nimport re\nimport stat\nimport subprocess\nimport sys\nimport time\n\nHERE = Path(__file__).resolve().parent\nDEFAULT = Path('/tmp/libhft-java-mono-default-20260910-PoRMjD')\nROOT = Path('/home/yann/code/libhft')\nspec = importlib.util.spec_from_file_location('mono_control', HERE/'control.py')\ncontrol = importlib.util.module_from_spec(spec)\nspec.loader.exec_module(control)\ndriver, host = control.driver, control.host\n\n\ndef main():\n assert os.getuid() == 1000 and os.sched_getaffinity(0) <= set(range(10))\n assert host.head() == control.HEAD and not host.fix_processes()\n with os.fdopen(os.open(ROOT/'bench/load/.open-sweep-scan.lock', os.O_RDWR|os.O_NOFOLLOW), 'r+') as lock:\n info = os.fstat(lock.fileno())\n assert stat.S_ISREG(info.st_mode) and info.st_ino == 1760464 and info.st_size == 0 and info.st_uid == 1000\n fcntl.flock(lock, fcntl.LOCK_EX|fcntl.LOCK_NB)\n source, runtime = driver.source_manifest(), driver.installed_manifest()\n assert len(runtime) == 52\n assert runtime == json.loads((ROOT/'docs/bench/java-phase-timing-stage-scan-20260910.json').read_text())['hashes']\n control.prior.prior.owned_runtime(runtime)\n files, checks, table = {}, [], []\n for transport in ('kernel','vma'):\n for policy, directory in (('default',DEFAULT), ('candidate',HERE)):\n sitting = directory/transport\n before = json.loads((sitting/'before.json').read_text())\n assert before['source_commit'] == control.HEAD\n assert before['source_files'] == source and before['installed_artifacts'] == runtime\n report = json.loads((sitting/'mono-jit-review.json').read_text())\n suffix = 'default-jit' if policy == 'default' else 'policy'\n public = ROOT/f'docs/bench/java-pure-{transport}-mono-{suffix}-scan-20260910.json'\n assert public.read_bytes() == (sitting/'mono-jit-review.json').read_bytes()\n files[str(public)] = driver.digest(public)\n for path,digest in report['hashes'].items():\n assert driver.digest(Path(path)) == digest, path\n files[path] = digest\n assert report['phase_totals']['measured']['completed'] == 1920000\n assert report['audits']['startup_pinning_exit'] == 0\n assert report['audits']['live_affinity']['status'] == 'pass'\n assert not report['publishable'] and report['diagnostic_only']\n try:\n control.prior.require_canonical(sitting/'run','java-pure',transport,'mono',schedule_version=4)\n except ValueError as error:\n assert 'noncanonical JVM logging' in str(error)\n else:\n raise AssertionError('diagnostic unexpectedly eligible for canonical import')\n metrics = report['cell_max_of_logged_run_means_us']\n counts = report['session_stability_counts']\n row = [transport if transport == 'kernel' else 'VMA',\n 'default' if policy == 'default' else 'non-tiered + zero trap limit',\n f'{counts[\"PASS\"]} / {counts[\"WARN\"]}',\n f'{report[\"phase_totals\"][\"warmup\"][\"cap_shed\"]:,}',\n ' / '.join(metrics[k] for k in ('p50_us','p99_us','p999_us','worst_us'))]\n table.append(row)\n checks.append(dict(cell=report['cell'],policy=policy,finished_utc=report['finished_utc'],\n measured_completed=1920000,session_stability_counts=counts,\n warmup=report['phase_totals']['warmup'],diagnostic_publication_rejected=True))\n historical = ROOT/'docs/bench/java-pure-mono-historical-partial-review-scan-20260910.json'\n assert historical.read_bytes() == (HERE/'historical-mono-partial-review.json').read_bytes()\n old = json.loads(historical.read_text())\n for path,digest in old['hashes'].items():\n assert driver.digest(Path(path)) == digest\n files[path] = digest\n files[str(historical)] = driver.digest(historical)\n template = ROOT/'docs/bench/load-bench-handbook-template.html'\n html = ROOT/'docs/bench/load-bench-handbook.html'\n for path in (template,html):\n block = re.search(r'(.*?)
',path.read_text(),re.S)[1]\n actual = [re.findall(r'(.*?)',row) for row in re.findall(r'(.*?)',block,re.S) if '' in row]\n assert actual == table\n files[str(path)] = driver.digest(path)\n canonical = ['docs/bench/results-scan-open-v4.tsv','docs/bench/latency-matrix-scan-open-v4.html']\n subprocess.run(['git','diff','--exit-code','HEAD','--',*canonical],cwd=ROOT,check=True)\n for path in canonical:\n files[str(ROOT/path)] = driver.digest(ROOT/path)\n modules = ['test_java_jit_log_launcher','test_java_phase_timing_launcher',\n 'test_open_schedule_audit','test_open_schedule_v4','test_diagnostic_audit',\n 'test_ingest_rows','test_gen_handbook']\n command = [sys.executable,'-m','unittest','-v',*modules]\n started = time.monotonic()\n with (HERE/'verification-tests.log').open('x') as out:\n result = subprocess.run(command,cwd=ROOT/'bench/load',stdout=out,stderr=subprocess.STDOUT,timeout=240)\n assert result.returncode == 0\n log = (HERE/'verification-tests.log').read_text()\n count = int(re.search(r'^Ran (\\d+) tests in ',log,re.M)[1])\n assert re.search(r'^OK\\s*$',log,re.M) and 'skipped=' not in log\n for name in modules:\n path = ROOT/'bench/load'/(name+'.py')\n files[str(path)] = driver.digest(path)\n files[str(HERE/'verification-tests.log')] = driver.digest(HERE/'verification-tests.log')\n # Generator determinism and all frozen inputs are checked again after tests.\n subprocess.run([sys.executable,str(ROOT/'bench/load/gen-handbook.py')],cwd=ROOT,check=True)\n assert driver.source_manifest() == source and driver.installed_manifest() == runtime\n assert host.head() == control.HEAD and not host.fix_processes()\n control.prior.prior.owned_runtime(runtime)\n for path,digest in files.items():\n assert driver.digest(Path(path)) == digest, path\n archived = {}\n for name in ('review_mono.py','review_historical.py', 'verify.py'):\n path = HERE/name\n archived[name] = dict(sha256=driver.digest(path),source=path.read_text())\n report = dict(kind='java_mono_policy_control_verification',observed_utc=driver.utc(),\n source_commit=control.HEAD,source_unchanged=True,runtime_unchanged=True,\n runtime_artifacts=52,root_owned_paths_verified=True,remaining_fix_processes=[],\n lock_inode=info.st_ino,lock_preserved=True,cells=checks,\n historical_partials_preserved=True,canonical_rows_unchanged=True,table_rows=table,\n tests=dict(command=command,cwd=str(ROOT/'bench/load'),passed=count,skipped=0,exit_code=0,\n elapsed_seconds=time.monotonic()-started),\n hashes=files,analysis_source_archive=archived,\n limitations=['No new build, staging, benchmark, canonical policy or numeric import during verification.',\n 'All four controls use the same frozen source and installed runtime, but are separate logged JVM processes.',\n 'Canonical partials remain; passing diagnostics do not replace them.',\n 'Archived scripts are the exact SCAN-local analysis used; their output creation is exclusive, so do not rerun over completed report paths.',\n 'Startup warmup shedding and all warning sessions are preserved, not converted to full delivery claims.',\n 'Push remains held pending explicit publication approval.'])\n with (HERE/'verification.json').open('x') as out:\n json.dump(report,out,indent=2)\n out.write('\\n')\n print(json.dumps(dict(verified=True,controls=len(checks),tests=count,evidence_files=len(files),runtime_files=52)))\n\n\nif __name__ == '__main__':\n main()\n" } }, "limitations": [ "No new build, staging, benchmark, canonical policy or numeric import during verification.", "All four controls use the same frozen source and installed runtime, but are separate logged JVM processes.", "Canonical partials remain; passing diagnostics do not replace them.", "Archived scripts are the exact SCAN-local analysis used; their output creation is exclusive, so do not rerun over completed report paths.", "Startup warmup shedding and all warning sessions are preserved, not converted to full delivery claims.", "Push remains held pending explicit publication approval." ] }