acmerfight · September 10, 2026 09:04 · Dentonshaw · Sep 10, 2026
diff --git a/00-README.md b/00-README.md
diff --git a/01-overview.svg b/01-overview.svg
diff --git a/02-tasks.svg b/02-tasks.svg
diff --git a/03-cache.svg b/03-cache.svg
diff --git a/04-pairs.svg b/04-pairs.svg
diff --git a/analyze_live.py b/analyze_live.py
 """Original numeric analyzer, with public-replication presentation only; no model calls."""
 import pathlib,json,csv,hashlib,statistics,random,math,sys
 from decimal import Decimal
 R=pathlib.Path(__file__).resolve().parent
 METRIC_LABELS={'usd':'实际缓存下的 API 费用估值（主指标）','total_tokens':'总 Token','normalized_0_usd':'统一 0% 缓存命中率的费用估值','normalized_50_usd':'统一 50% 缓存命中率的费用估值','normalized_90_usd':'统一 90% 缓存命中率的费用估值','normalized_100_usd':'统一 100% 缓存命中率的费用估值'}
 CASES=['feature','bugfix','refactor','review','data'];LABELS=dict(zip(CASES,['实现记账功能','修复报价缺陷','重构日志统计','代码审查','工单数据分析']))

 def sha(p):return hashlib.sha256(p.read_bytes()).hexdigest()
 def hashes(p):return {str(x.relative_to(p)):sha(x) for x in sorted(p.rglob('*')) if x.is_file() and '__pycache__' not in x.parts}
 def canonical_context(c,folder):
 c=dict(c)
 for k in ['turn_id','root_turn_id']:c.pop(k,None)
 original_work=pathlib.Path(c['cwd']);original_root=original_work.parents[2]
 return json.loads(json.dumps(c).replace(str(original_work),'<WORK>').replace(str(original_root/'.runtime'/folder.name),'<PROFILE>'))
 def verify_run(folder):
 r=json.loads((folder/'result.json').read_text());e=json.loads((folder/'evidence.json').read_text());cfg=json.loads((folder/'config.json').read_text());initial=json.loads((folder/'initial-hashes.json').read_text());assert initial==hashes(R/'fixtures'/r['case'])
 assert sha(folder/'prompt.txt')==r['prompt_sha256']==sha(R/'fixtures'/r['case']/'TASK.txt')
 assert e['cli_version']==json.loads((R/'environment.json').read_text())['cli_version'].removeprefix('codex-cli ') and r['mode_verified'] and e['experimental_marker']==(r['mode']=='new')
 t=json.loads((folder/'thread.json').read_text());assert (t['model'],t['reasoningEffort'],t['serviceTier'])==('gpt-6-astra','low','default')
 assert len({p['response_id'] for p in e['raw_records']})==len(e['usage'])
 cost=Decimal(0)
 for p in e['raw_records']:
  u=p['usage'];plain=u['input_tokens']-u['cached_input_tokens']-u.get('cache_write_input_tokens',0);assert plain>=0 and u['total_tokens']==u['input_tokens']+u['output_tokens'] and 0<=u['reasoning_output_tokens']<=u['output_tokens']
  ci=Decimal(plain)*10+Decimal(u['cached_input_tokens'])+Decimal(u.get('cache_write_input_tokens',0))*Decimal('12.5');co=Decimal(u['output_tokens'])*50
  if u['input_tokens']>272000:ci*=2;co*=Decimal('1.5')
  cost+=(ci+co)/1000000
 assert abs(cost-Decimal(str(r['usage']['usd'])))<Decimal('1e-10')
 for k in ['input_tokens','cached_input_tokens','cache_write_input_tokens','output_tokens','total_tokens']:
  assert sum(p['usage'].get(k,0) for p in e['raw_records'])==r['usage'][k]==e['raw_records'][-1]['thread_token_usage'].get(k,0)
 protected=['README.md','TASK.txt']+[k for k in initial if r['case']=='review' and k.startswith('ledger/') or r['case']=='data' and k.startswith('data/')]
 intact=all(sha(folder/'work'/k)==initial[k] for k in protected);assert intact==r['protected_files_unchanged']
 r['quality_pass']=r['status']=='completed' and intact and r['acceptance']['passed']==r['acceptance']['total'];r['run']=folder.name
 return r,e,cfg,initial

 def main():
 manifest=json.loads((R/'frozen-manifest.json').read_text())
 for f,d in manifest.items():assert sha(R/f)==d,('frozen file modified',f)
 schedule=json.loads((R/'schedule.json').read_text())['pairs'];done=[p for p in schedule if (R/'pairs'/f"{p['pair_id']}.json").exists()]
 if len(done)!=30 and '--partial' not in sys.argv:raise SystemExit(f'Only {len(done)}/30 pairs complete; no final analysis produced')
 runs=[];pairs=[];requests=[];audit=[];invalid=[];base_hashes=set();chosen=set()
 for spec in done:
  p=json.loads((R/'pairs'/f"{spec['pair_id']}.json").read_text());assert p['pair']==spec
  rr=[]
  for name in p['runs']:
   folder=R/'runs'/name;r,e,cfg,initial=verify_run(folder);rr.append((r,e,cfg,initial));chosen.add(name);runs.append(r);base_hashes.add(e['base_instructions_sha256'])
   requests.extend({'case':r['case'],'pair_id':r['pair_id'],'mode':r['mode'],'run':name,**u} for u in e['usage'])
   audit.append({'run':name,'case':r['case'],'mode':r['mode'],'quality_pass':r['quality_pass'],'passed':r.get('acceptance',{}).get('passed'),'total':r.get('acceptance',{}).get('total'),'feedback_turns':max(0,len(r['turns'])-1),'context_transitions':r['context_transitions'],'accounting_verified':True,'inputs_verified':True,'mode_verified':r['mode_verified'],'protected_files_unchanged':r['protected_files_unchanged']})
  assert [r[0]['mode'] for r in rr]==spec['order']
  assert rr[0][3]==rr[1][3]
  assert {k for k in rr[0][2] if rr[0][2][k]!=rr[1][2][k]}=={'features.context_management.experimental_mode'}
  assert canonical_context(rr[0][1]['turn_contexts'][0],R/'runs'/rr[0][0]['run'])==canonical_context(rr[1][1]['turn_contexts'][0],R/'runs'/rr[1][0]['run'])
  ab={x[0]['mode']:x[0] for x in rr};a,b=ab['old'],ab['new'];row={'case':spec['case'],'pair_id':spec['pair_id'],'rep':spec['rep'],'first':spec['order'][0],'attempt':p['selected_attempt'],'old_quality_pass':a['quality_pass'],'new_quality_pass':b['quality_pass']}
  for k in ['usd','total_tokens','normalized_0_usd','normalized_50_usd','normalized_90_usd','normalized_100_usd']:
   row['old_'+k]=a['usage'][k];row['new_'+k]=b['usage'][k];row[k+'_change_percent']=100*(b['usage'][k]/a['usage'][k]-1)
  pairs.append(row)
 assert len(base_hashes)<=1,'base instruction changed'
 for p in sorted((R/'runs').glob('*/result.json')):
  if p.parent.name not in chosen:
   r=json.loads(p.read_text());invalid.append({'run':p.parent.name,'case':r['case'],'mode':r['mode'],'status':r['status'],'tokens':r.get('usage',{}).get('total_tokens',0),'usd':r.get('usage',{}).get('usd',0)})
 summary=[]
 for case in CASES:
  for mode in ['old','new']:
   rows=[r for r in runs if r['case']==case and r['mode']==mode]
   if not rows:continue
   s={'case':case,'mode':mode,'n':len(rows),'accepted':sum(x['quality_pass'] for x in rows),'context_transitions':sum(x['context_transitions'] for x in rows),'feedback_turns':sum(max(0,len(x['turns'])-1) for x in rows)}
   for k in ['total_tokens','input_tokens','cached_input_tokens','cache_write_input_tokens','ordinary_input_tokens','output_tokens','ordinary_usd','cached_usd','cache_write_usd','output_usd','usd','normalized_0_usd','normalized_50_usd','normalized_90_usd','normalized_100_usd']:
    s[k+'_mean']=statistics.mean(x['usage'][k] for x in rows);s[k+'_median']=statistics.median(x['usage'][k] for x in rows)
   s['cache_hit_percent']=100*sum(x['usage']['cached_input_tokens'] for x in rows)/sum(x['usage']['input_tokens'] for x in rows);summary.append(s)
 effects=[]
 for metric in ['usd','total_tokens','normalized_0_usd','normalized_50_usd','normalized_90_usd','normalized_100_usd']:
  old=sum(p['old_'+metric] for p in pairs);new=sum(p['new_'+metric] for p in pairs);effect={'metric':metric,'old_total':old,'new_total':new,'change_percent':100*(new/old-1),'paired_geomean_change_percent':100*(math.exp(statistics.mean(math.log(p['new_'+metric]/p['old_'+metric]) for p in pairs))-1)}
  if len(done)==30:
   groups=[[p for p in pairs if p['case']==c] for c in CASES];rng=random.Random(81723);boot=[]
   for _ in range(20000):
    sampled=[group[rng.randrange(6)] for group in groups for _ in range(6)];a=sum(x['old_'+metric] for x in sampled);b=sum(x['new_'+metric] for x in sampled);boot.append(100*(b/a-1))
   boot.sort()
   def percentile(q):
    x=(len(boot)-1)*q;k=int(x);return boot[k]+(boot[min(k+1,len(boot)-1)]-boot[k])*(x-k)
   effect['bootstrap_95_low_percent']=percentile(.025);effect['bootstrap_95_high_percent']=percentile(.975)
  effects.append(effect)
 for name,data in [('summary',summary),('pairs',pairs),('requests',requests),('audit',audit),('effects',effects),('invalid_attempts',invalid)]:
  (R/f'{name}.json').write_text(json.dumps(data,indent=2))
  if data:
   with (R/f'{name}.csv').open('w') as f:
    w=csv.DictWriter(f,fieldnames=list(dict.fromkeys(k for d in data for k in d)));w.writeheader();w.writerows(data)
 lines=['# 冻结基准后的确认实验','','旧模式 = 关闭 experimental context management；新模式 = 开启该开关。本报告只使用本轮预先固定的任务、样本数和规则，不合并上一轮。gpt-6-astra / low / default，客户端与模型目录指纹见 environment.json；按本轮准备时的快照锁定。每类六对，恰好三对旧先跑、三对新先跑，跨任务随机排列，全程串行。每次使用全新的项目和本地配置目录。','',f'已完成 {len(done)}/30 对；质量通过 {sum(r["quality_pass"] for r in runs)}/{len(runs)} 次；自然上下文切换 {sum(r["context_transitions"] for r in runs)} 次。','', '## 主结果','','每格为每模式六次的平均值。美元是 API Standard Token 估值，不是订阅实付。','','| 任务 | 旧费用 | 新费用 | 费用变化 | Token 变化 | 验收旧/新 |','|---|---:|---:|---:|---:|---|']
 for case in CASES:
  ss={s['mode']:s for s in summary if s['case']==case}
  if len(ss)<2:continue
  a,b=ss['old'],ss['new'];lines.append(f"| {LABELS[case]} | ${a['usd_mean']:.4f} | ${b['usd_mean']:.4f} | {(b['usd_mean']/a['usd_mean']-1)*100:+.1f}% | {(b['total_tokens_mean']/a['total_tokens_mean']-1)*100:+.1f}% | {a['accepted']}/{a['n']}，{b['accepted']}/{b['n']} |")
 lines+=['','## 整体差异与缓存敏感性','','主指标为固定任务集合中新旧平均费用之比。置信区间按任务分层，以整对为单位进行 20,000 次 bootstrap，保留配对关系；它反映这些固定任务的运行波动，不代表所有任务的总体区间。','','统一缓存比例仅重新计价，不重新生成模型执行路径；不是实际账单，也不能消除缓存可能对后续行为的影响。','','| 指标 | 新相对旧 | 95% 区间 |','|---|---:|---|']
 for e in effects:
  ci=f"[{e['bootstrap_95_low_percent']:+.1f}%, {e['bootstrap_95_high_percent']:+.1f}%]" if 'bootstrap_95_low_percent' in e else '未完成固定样本'
  lines.append(f"| {METRIC_LABELS[e['metric']]} | {e['change_percent']:+.1f}% | {ci} |")
 lines+=['','## 实际缓存和分项费用','','每百万 Token：普通输入 $10，缓存命中 $1，缓存写入 $12.50，输出 $50；单请求输入超过 272K 时输入各项乘 2、输出乘 1.5。推理输出不重复相加。[官方价格](https://developers.openai.com/api/docs/models/gpt-6-astra)。','','| 任务 | 模式 | 命中率 | 普通输入费 | 缓存命中费 | 缓存写入费 | 输出费 |','|---|---|---:|---:|---:|---:|---:|']
 for s in summary:lines.append(f"| {LABELS[s['case']]} | {s['mode']} | {s['cache_hit_percent']:.1f}% | ${s['ordinary_usd_mean']:.5f} | ${s['cached_usd_mean']:.5f} | ${s['cache_write_usd_mean']:.5f} | ${s['output_usd_mean']:.5f} |")
 lines+=['','## 所有配对','','| 任务 | 配对 | 先执行 | 旧费用 | 新费用 | 费用变化 |','|---|---|---|---:|---:|---:|']
 for p in pairs:lines.append(f"| {LABELS[p['case']]} | {p['pair_id']} | {p['first']} | ${p['old_usd']:.5f} | ${p['new_usd']:.5f} | {p['usd_change_percent']:+.1f}% |")
 lines+=['','## 质量、范围与失败记录','','需求和初始文件在每对中完全相同，验收脚本不放入模型工作目录，程序通过真实 CLI 输入输出检查。工单分析还在三个未直接展示的数据集上验证可复用脚本。审查复现与正确参考实现比较。规格、审查源码和原始数据的完整性检查纳入质量判定。','',f"计入主比较的运行总 Token 为 {sum(r['usage']['total_tokens'] for r in runs):,}，Token 费用估值 ${sum(r['usage']['usd'] for r in runs):.6f}。额外/未选中尝试 {len(invalid)} 次，已记录 {sum(x['tokens'] for x in invalid):,} Token、${sum(x['usd'] for x in invalid):.6f}，详见 invalid_attempts.csv。",'', '在任务类别、客户端版本、插件与记忆状态、任务顺序、验收和失败处理方面比上一轮更严格。但服务端权重版本、随机性、缓存状态和账户其他流量无法由客户端冻结。模式开关引入的系统提示和工具差异属于处理的一部分，不要求两边完整系统上下文逐字相同。','', '本轮是五个固定的合成任务、四个业务领域和一个编程语言；尚非独立抽样的真实世界任务集。公开需求下的外部验收降低针对已知测试作答的风险，但不是不可访问的远程盲测。不得把固定任务 bootstrap 区间推广为所有任务的置信区间。','']
 if not any(r['context_transitions'] for r in runs):lines+=['本轮没有自然跨窗口，因此不能证明或否定窗口耗尽后上下文压缩/恢复的节省。没有人为强制压缩来制造长任务结论。','']
 lines+=['冻结协议见 PLAN.md，执行顺序见 schedule.json，完整性见 frozen-manifest.json，明细见 pairs.csv、requests.csv、audit.csv。已有数值能离线精确复算，重新执行可复用相同本地基准，但不能保证相同模型输出或费用。','']
 preflight=json.loads((R/'preflight-cost.json').read_text()) if (R/'preflight-cost.json').exists() else None
 if preflight:lines+=['准备阶段模型可用性检查单独记录：'+str(preflight['totals']['total_tokens'])+' Token，估值 $'+format(preflight['totals']['usd'],'.6f')+'，不混入两种模式的任务比较。','']
 revision=json.loads((R/'protocol-revision.json').read_text()) if (R/'protocol-revision.json').exists() else None
 if revision:
  lines+=['## 准备阶段修订披露','',revision['reason'],'',f"被整批排除的准备运行共有 {len(revision['runs'])} 次，已记录 {revision['tokens']:,} Token、API 估值 ${revision['usd']:.6f}；可用性预检另记 ${revision['availability_preflight']['usd']:.6f}。这些数字不混入正式配对结果，也没有从资源消耗记录中删除。详见 protocol-revision.json。",'']
 lines+=['这里的用量只包括登记的 CLI 测试运行及单列的预检、准备尝试，不包括本调研对话或账户其他任务。','复现步骤见 REPRODUCE.md。','']
 if len(done)==30:
  primary=next(e for e in effects if e['metric']=='usd');normalized=next(e for e in effects if e['metric']=='normalized_90_usd')
  verdict='本固定任务集合支持新模式费用更高。' if primary['bootstrap_95_low_percent']>0 else ('本固定任务集合支持新模式费用更低。' if primary['bootstrap_95_high_percent']<0 else '本固定任务集合尚不足以确定费用差异方向。')
  conclusion=['## 结论','',verdict+f"按实际缓存计价，新相对旧变化 {primary['change_percent']:+.1f}%（95% 区间 {primary['bootstrap_95_low_percent']:+.1f}% 至 {primary['bootstrap_95_high_percent']:+.1f}%）；统一 90% 缓存命中率重新计价为 {normalized['change_percent']:+.1f}%（{normalized['bootstrap_95_low_percent']:+.1f}% 至 {normalized['bootstrap_95_high_percent']:+.1f}%）。该判断只适用于本轮固定任务与运行条件。",'']
  at=lines.index('## 主结果');lines[at:at]=conclusion
 lines+=['This live replication does not automatically include manual inspection or a separate offline-copy audit.','']
 (R/'report.md').write_text('\n'.join(lines));print(json.dumps({'pairs':len(done),'quality_pass':sum(r['quality_pass'] for r in runs),'runs':len(runs),'effects':effects},indent=2))
 if __name__=='__main__':main()
diff --git a/audit.csv b/audit.csv
diff --git a/PUBLICATION-CHECKS.json b/PUBLICATION-CHECKS.json
 {
  "public_numeric_verification": {
    "passed": true,
    "selected_pairs": 30,
    "selected_runs": 60,
    "all_attempts": 62,
    "responses": 367,
    "method": "Standard-library exact rational price recomputation plus fixed-seed stratified paired bootstrap; verified against published numeric tables"
  },
  "saved_deliverable_acceptance": {
    "passed": 60,
    "total": 60,
    "method": "Original external CLI acceptance executed against reconstructed public deliverables"
  },
  "figure_review": {
    "svg_figures": 4,
    "text_language": "English",
    "source": "Published JSON and CSV, rendered with Matplotlib 3.11.1"
  },
  "live_preparation": {
    "passed": true,
    "fingerprints": "Matched original CLI and catalog locally",
    "model_calls": 0,
    "authentication_copied": false
  },
  "redaction": "Identity, private path and message metadata omitted; no authentication or private model catalog published.",
  "github_delivery": {
    "downloaded_file_count": 20,
    "offline_numeric_recomputation_passed": true,
    "inline_svg_images": 4,
    "image_proxy_http_status": 200,
    "image_content_type": "image/svg+xml",
    "csv_line_endings": "LF"
  }
 }
diff --git a/deliverables.json b/deliverables.json
 {"schema":1,"blobs":{"2b7cb524434a9151370c35ae07a8010552105c2e14242b425c4e355ba82aefb6":"# Ledger CLI\n\nImplement a Python standard-library-only command-line tool runnable as `python3 -m ledger`. It reads JSON Lines from stdin and writes one summary JSON object to stdout after all input validates. This is an in-memory batch transformation; no database or network is needed.\n\n## Input contract\n\nIgnore blank lines. Nonblank lines must each contain a JSON object. Physical input line numbers start at 1 and include blank lines. Events have exactly these fields:\n\n- Credit or debit: `id`, `type` (`credit` or `debit`), `account`, `currency`, `amount`.\n- Transfer: `id`, `type` (`transfer`), `from`, `to`, `currency`, `amount`.\n\nAll IDs and account names match ASCII `[A-Za-z0-9_-]{1,32}`, case-sensitively. Do not trim identifiers. Currency is exactly `USD` or `EUR`. Amount is an integer in cents, from 1 through 1,000,000,000,000 inclusive; booleans and floats are not integers for this contract. Reject missing/extra fields, incorrect types, unknown event types, and transfers to the same account.\n\nProcess valid events in input order. Accounts start with both currency balances at zero. Credit increases a balance, debit decreases it, and transfer moves it between accounts without changing the currency total. Reject a debit or transfer with insufficient source funds. Keep accounts in the summary even after their balances become zero.\n\nEvent IDs are global across accounts and currencies. Validate an event's schema first. If the ID was already seen with an identical event object (JSON key order does not matter), skip it and increment `duplicates`; do not reapply it or recheck its balance effect. If the same ID has different content, fail with `DUPLICATE_ID`. `processed` counts unique applied events only.\n\n## Output and failures\n\nOn success, exit 0, leave stderr empty, and emit exactly one JSON value plus a trailing newline:\n\n```\n{\"processed\":2,\"duplicates\":0,\"accounts\":[{\"id\":\"a\",\"USD\":70,\"EUR\":0},{\"id\":\"b\",\"USD\":30,\"EUR\":0}],\"totals\":{\"USD\":100,\"EUR\":0}}\n```\n\nSort accounts lexicographically by ID. Always include both currency balances. Totals equal the sum of displayed accounts. Empty input succeeds with zero counts, an empty accounts array and zero totals.\n\nOn any input failure, exit 2, stdout must be completely empty (even if earlier events were valid), and stderr contains exactly one JSON object plus newline: `{\"error\":{\"code\":\"CODE\",\"line\":N}}`. Do not echo raw input or emit tracebacks. Use `INVALID_JSON` for malformed JSON, `INVALID_EVENT` for schema/identifier/currency/amount/self-transfer failures, `INSUFFICIENT_FUNDS` for a balance violation, and `DUPLICATE_ID` for a conflicting repeated ID. Stop at the first failing physical line.\n\n## Command-line options\n\n- `--account ID` filters the final accounts array to that account. Totals reflect this filtered output. The processed/duplicates counts still describe the entire input, and invalid events for other accounts still fail the batch. A nonexistent account gives an empty array and zero totals. An invalid account argument is an argument error.\n- `--pretty` produces indented multiline JSON with a trailing newline; it does not change data.\n- Unknown options, missing option values, and invalid argument values exit 2 with empty stdout and stderr `{\"error\":{\"code\":\"INVALID_ARGUMENT\",\"line\":0}}` plus newline.\n- `--help` exits 0 with useful usage text on stdout and empty stderr.\n","d5fb3e914bbb86fcc957de29522cd2833a70d8f098dc34524115347c8a51353e":"Implement the Ledger CLI specified in README.md from the existing skeleton. Verify the requirements with your own checks. Keep README.md and TASK.txt unchanged. Use Python standard library only. Work only within this project, without external services or other projects. You may add your own tests and documentation. Finish with a concise report when the requested work is complete.\n","ae47afc6e4497a4427b9c4ebfb3c5095ec55260bc5a599a337c06cb7a2934d36":"\"\"\"Ledger CLI package.\"\"\"\n","d140e3bbe569b89d0695d1fb82634a0f70cbac07e5366f873eddff0cfd78f0eb":"from ledger.cli import main\n\nraise SystemExit(main())\n","6b2c7a6c651c89ab78cd9c867ed2baa1f01d9718947e8fd9e495f393ab47445d":"\"\"\"Validate and summarize a batch of JSON Lines ledger events.\"\"\"\n\nimport argparse\nimport json\nimport re\nimport sys\n\n\nIDENTIFIER = re.compile(r\"[A-Za-z0-9_-]{1,32}\", re.ASCII)\nCURRENCIES = (\"USD\", \"EUR\")\nFIELDS = {\n    \"credit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"debit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"transfer\": {\"id\", \"type\", \"from\", \"to\", \"currency\", \"amount\"},\n}\n\n\nclass LedgerError(Exception):\n    def __init__(self, code, line):\n        self.code = code\n        self.line = line\n        super().__init__(code)\n\n\nclass ArgumentParser(argparse.ArgumentParser):\n    def error(self, message):\n        raise LedgerError(\"INVALID_ARGUMENT\", 0)\n\n\ndef valid_identifier(value):\n    return isinstance(value, str) and IDENTIFIER.fullmatch(value) is not None\n\n\ndef account_argument(value):\n    if not valid_identifier(value):\n        raise argparse.ArgumentTypeError(\"invalid account identifier\")\n    return value\n\n\ndef validate_event(event, line):\n    if not isinstance(event, dict):\n        raise LedgerError(\"INVALID_EVENT\", line)\n    kind = event.get(\"type\")\n    if not isinstance(kind, str) or kind not in FIELDS or set(event) != FIELDS[kind]:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    identifiers = (\"id\", \"from\", \"to\") if kind == \"transfer\" else (\"id\", \"account\")\n    if not all(valid_identifier(event[key]) for key in identifiers):\n        raise LedgerError(\"INVALID_EVENT\", line)\n    if event[\"currency\"] not in CURRENCIES:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    amount = event[\"amount\"]\n    if type(amount) is not int or not 1 <= amount <= 1_000_000_000_000:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    if kind == \"transfer\" and event[\"from\"] == event[\"to\"]:\n        raise LedgerError(\"INVALID_EVENT\", line)\n\n\ndef reject_constant(value):\n    # Python's decoder otherwise accepts NaN and Infinity, which are not JSON.\n    raise ValueError(\"non-JSON numeric constant\")\n\n\ndef summarize(lines, account=None):\n    balances = {}\n    seen = {}\n    duplicates = 0\n    for line_number, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            event = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LedgerError(\"INVALID_JSON\", line_number) from None\n        validate_event(event, line_number)\n        event_id = event[\"id\"]\n        if event_id in seen:\n            if seen[event_id] != event:\n                raise LedgerError(\"DUPLICATE_ID\", line_number)\n            duplicates += 1\n            continue\n\n        kind, currency, amount = event[\"type\"], event[\"currency\"], event[\"amount\"]\n        source = event.get(\"from\") if kind == \"transfer\" else event[\"account\"]\n        if kind != \"credit\" and balances.get(source, {}).get(currency, 0) < amount:\n            raise LedgerError(\"INSUFFICIENT_FUNDS\", line_number)\n        balances.setdefault(source, dict.fromkeys(CURRENCIES, 0))\n        if kind == \"credit\":\n            balances[source][currency] += amount\n        else:\n            balances[source][currency] -= amount\n        if kind == \"transfer\":\n            destination = event[\"to\"]\n            balances.setdefault(destination, dict.fromkeys(CURRENCIES, 0))\n            balances[destination][currency] += amount\n        seen[event_id] = event\n\n    accounts = [\n        {\"id\": name, **balances[name]}\n        for name in sorted(balances)\n        if account is None or name == account\n    ]\n    return {\n        \"processed\": len(seen),\n        \"duplicates\": duplicates,\n        \"accounts\": accounts,\n        \"totals\": {currency: sum(row[currency] for row in accounts) for currency in CURRENCIES},\n    }\n\n\ndef main(argv=None):\n    parser = ArgumentParser(description=\"Summarize validated JSON Lines ledger events from stdin.\", allow_abbrev=False)\n    parser.add_argument(\"--account\", type=account_argument, metavar=\"ID\", help=\"show only this account and its totals\")\n    parser.add_argument(\"--pretty\", action=\"store_true\", help=\"indent the summary JSON\")\n    try:\n        args = parser.parse_args(argv)\n        summary = summarize(sys.stdin, args.account)\n    except LedgerError as error:\n        print(json.dumps({\"error\": {\"code\": error.code, \"line\": error.line}}, separators=(\",\", \":\")), file=sys.stderr)\n        return 2\n    print(json.dumps(summary, indent=2 if args.pretty else None, separators=None if args.pretty else (\",\", \":\")))\n    return 0\n","cf825773d6982d84ddcd5348617eb38058d73498186f16dae8cc369e7b40a61c":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef event(id=\"e\", type=\"credit\", account=\"a\", currency=\"USD\", amount=100):\n    return dict(id=id, type=type, account=account, currency=currency, amount=amount)\n\n\ndef transfer(id=\"t\", source=\"a\", destination=\"b\", amount=30, currency=\"USD\"):\n    return {\"id\": id, \"type\": \"transfer\", \"from\": source, \"to\": destination, \"amount\": amount, \"currency\": currency}\n\n\nclass CLITest(unittest.TestCase):\n    def run_cli(self, rows=(), args=(), raw=None):\n        return subprocess.run([sys.executable, \"-m\", \"ledger\", *args], input=raw if raw is not None else \"\\n\".join(json.dumps(row) for row in rows), text=True, capture_output=True, cwd=ROOT)\n\n    def success(self, rows=(), args=(), raw=None):\n        result = self.run_cli(rows, args, raw)\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, \"\")\n        self.assertTrue(result.stdout.endswith(\"\\n\"))\n        return json.loads(result.stdout)\n\n    def failure(self, rows=(), code=\"INVALID_EVENT\", line=1, args=(), raw=None):\n        result = self.run_cli(rows, args, raw)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, \"\")\n        self.assertEqual(result.stderr, json.dumps({\"error\": {\"code\": code, \"line\": line}}, separators=(\",\", \":\")) + \"\\n\")\n\n    def test_empty(self):\n        self.assertEqual(self.success(raw=\"\\n \\t\\n\"), {\"processed\": 0, \"duplicates\": 0, \"accounts\": [], \"totals\": {\"USD\": 0, \"EUR\": 0}})\n\n    def test_transfer_and_filter(self):\n        rows = [event(), transfer(), event(\"eur\", account=\"b\", currency=\"EUR\", amount=8)]\n        expected = [{\"id\": \"a\", \"USD\": 70, \"EUR\": 0}, {\"id\": \"b\", \"USD\": 30, \"EUR\": 8}]\n        result = self.success(rows)\n        self.assertEqual(result, {\"processed\": 3, \"duplicates\": 0, \"accounts\": expected, \"totals\": {\"USD\": 100, \"EUR\": 8}})\n        filtered = self.success(rows, [\"--account\", \"b\"])\n        self.assertEqual(filtered[\"accounts\"], expected[1:])\n        self.assertEqual(filtered[\"totals\"], {\"USD\": 30, \"EUR\": 8})\n        self.assertEqual(filtered[\"processed\"], 3)\n        missing = self.success(rows, [\"--account\", \"missing\"])\n        self.assertEqual(missing[\"accounts\"], [])\n        self.assertEqual(missing[\"totals\"], {\"USD\": 0, \"EUR\": 0})\n        self.assertEqual(self.success(rows, [\"--pretty\"]), result)\n        self.assertIn('\\n  \"processed\"', self.run_cli(rows, [\"--pretty\"]).stdout)\n\n    def test_duplicates_and_zero_accounts(self):\n        debit = event(\"d\", \"debit\")\n        rows = [event(), debit, dict(reversed(list(debit.items()))), event()]\n        result = self.success(rows)\n        self.assertEqual(result[\"processed\"], 2)\n        self.assertEqual(result[\"duplicates\"], 2)\n        self.assertEqual(result[\"accounts\"], [{\"id\": \"a\", \"USD\": 0, \"EUR\": 0}])\n        self.success([event(), transfer(amount=100), transfer(amount=100)])\n        self.failure([event(), event(account=\"b\")], \"DUPLICATE_ID\", 2)\n        self.failure([event(), event(amount=True)], line=2)\n\n    def test_schema(self):\n        invalid = [None, [], 1, \"x\", {}, {**event(), \"extra\": 1}]\n        invalid += [{k: v for k, v in event().items() if k != key} for key in event()]\n        for key, values in {\n            \"id\": [\"\", \"a\" * 33, \"a\\n\", \" a\", \"é\", 1, None],\n            \"account\": [\"\", \"a b\", \"a/\", False, []],\n            \"currency\": [\"usd\", \"GBP\", None, [], 1],\n            \"amount\": [0, -1, 10**12 + 1, True, False, 1.0, \"1\", None, {}],\n            \"type\": [\"unknown\", None, [], 1],\n        }.items():\n            invalid += [{**event(), key: value} for value in values]\n        invalid += [transfer(destination=\"a\"), {**transfer(), \"account\": \"a\"}, {**transfer(), \"from\": \"bad!\"}]\n        for row in invalid:\n            with self.subTest(row=row):\n                self.failure([row])\n\n    def test_funds_and_first_error(self):\n        self.failure([event(type=\"debit\")], \"INSUFFICIENT_FUNDS\")\n        self.failure([transfer()], \"INSUFFICIENT_FUNDS\")\n        self.failure([event(), event(\"d\", \"debit\", currency=\"EUR\")], \"INSUFFICIENT_FUNDS\", 2)\n        self.failure([event(), transfer(amount=101)], \"INSUFFICIENT_FUNDS\", 2, args=[\"--account\", \"missing\"])\n        self.failure(raw='\\n' + json.dumps(event()) + '\\n \\n{bad\\nnull', code=\"INVALID_JSON\", line=4)\n        self.failure(raw='null\\n{bad', line=1)\n\n    def test_json(self):\n        for raw in ['{', '{} {}', '{\"amount\": NaN}', '{\"amount\": Infinity}', '{\"amount\": -Infinity}', '{\"x\": 1,}']:\n            with self.subTest(raw=raw):\n                self.failure(raw=raw, code=\"INVALID_JSON\")\n\n    def test_boundaries_and_sorting(self):\n        names = [\"z\", \"a\", \"Z\", \"A\", \"_\", \"-\", \"0\", \"a\" * 32]\n        rows = [event(str(i), account=name, amount=10**12) for i, name in enumerate(names)]\n        rows.append(event(\"more\", account=\"a\", amount=1))\n        result = self.success(rows)\n        self.assertEqual([row[\"id\"] for row in result[\"accounts\"]], sorted(names))\n        self.assertEqual(result[\"totals\"][\"USD\"], len(names) * 10**12 + 1)\n\n    def test_arguments(self):\n        for args in [[\"--unknown\"], [\"--account\"], [\"--account\", \"bad!\"], [\"--account\", \"\"], [\"--pretty=yes\"], [\"positional\"], [\"--acc\", \"a\"]]:\n            with self.subTest(args=args):\n                self.failure(args=args, code=\"INVALID_ARGUMENT\", line=0, raw=\"bad json\")\n        result = self.run_cli(args=[\"--help\"], raw=\"invalid\")\n        self.assertEqual(result.returncode, 0)\n        self.assertEqual(result.stderr, \"\")\n        self.assertIn(\"usage:\", result.stdout)\n        self.assertIn(\"--account\", result.stdout)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n","5ca39d648cacbe6aee08514a42219f3d12055e520607570fb59e3a9e5fa79088":"\"\"\"Validate and summarize an in-memory stream of ledger events.\"\"\"\n\nimport argparse\nimport json\nimport re\nimport sys\n\n\nIDENTIFIER = re.compile(r\"[A-Za-z0-9_-]{1,32}\")\nFIELDS = {\n    \"credit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"debit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"transfer\": {\"id\", \"type\", \"from\", \"to\", \"currency\", \"amount\"},\n}\n\n\nclass LedgerError(Exception):\n    def __init__(self, code, line):\n        self.code = code\n        self.line = line\n\n\nclass ArgumentParser(argparse.ArgumentParser):\n    def error(self, message):\n        raise LedgerError(\"INVALID_ARGUMENT\", 0)\n\n\ndef valid_identifier(value):\n    return isinstance(value, str) and IDENTIFIER.fullmatch(value) is not None\n\n\ndef validate_event(event, line):\n    if not isinstance(event, dict):\n        raise LedgerError(\"INVALID_EVENT\", line)\n    kind = event.get(\"type\")\n    if not isinstance(kind, str) or kind not in FIELDS or set(event) != FIELDS[kind]:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    names = (\"id\", \"from\", \"to\") if kind == \"transfer\" else (\"id\", \"account\")\n    if (\n        not all(valid_identifier(event[name]) for name in names)\n        or event[\"currency\"] not in (\"USD\", \"EUR\")\n        or type(event[\"amount\"]) is not int\n        or not 1 <= event[\"amount\"] <= 1_000_000_000_000\n        or (kind == \"transfer\" and event[\"from\"] == event[\"to\"])\n    ):\n        raise LedgerError(\"INVALID_EVENT\", line)\n\n\ndef reject_constant(value):\n    # Python's decoder otherwise accepts NaN and Infinity, which are not JSON.\n    raise ValueError(\"Non-JSON numeric constant\")\n\n\ndef summarize(lines, account=None):\n    accounts = {}\n    seen = {}\n    duplicates = 0\n    for line_number, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            event = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LedgerError(\"INVALID_JSON\", line_number) from None\n        validate_event(event, line_number)\n        event_id = event[\"id\"]\n        if event_id in seen:\n            if seen[event_id] != event:\n                raise LedgerError(\"DUPLICATE_ID\", line_number)\n            duplicates += 1\n            continue\n\n        kind, currency, amount = event[\"type\"], event[\"currency\"], event[\"amount\"]\n        source = event[\"from\"] if kind == \"transfer\" else event[\"account\"]\n        balance = accounts.get(source, {\"USD\": 0, \"EUR\": 0})\n        if kind != \"credit\" and balance[currency] < amount:\n            raise LedgerError(\"INSUFFICIENT_FUNDS\", line_number)\n        accounts[source] = balance\n        if kind == \"credit\":\n            balance[currency] += amount\n        else:\n            balance[currency] -= amount\n        if kind == \"transfer\":\n            destination = accounts.setdefault(event[\"to\"], {\"USD\": 0, \"EUR\": 0})\n            destination[currency] += amount\n        seen[event_id] = event\n\n    rows = [\n        {\"id\": name, **accounts[name]}\n        for name in sorted(accounts)\n        if account is None or name == account\n    ]\n    return {\n        \"processed\": len(seen),\n        \"duplicates\": duplicates,\n        \"accounts\": rows,\n        \"totals\": {currency: sum(row[currency] for row in rows) for currency in (\"USD\", \"EUR\")},\n    }\n\n\ndef main(argv=None):\n    parser = ArgumentParser(\n        prog=\"ledger\", description=\"Summarize JSON Lines ledger events from stdin.\",\n        allow_abbrev=False,\n    )\n    parser.add_argument(\"--account\", metavar=\"ID\", help=\"show only this account and its totals\")\n    parser.add_argument(\"--pretty\", action=\"store_true\", help=\"indent the JSON summary\")\n    try:\n        args = parser.parse_args(argv)\n        if args.account is not None and not valid_identifier(args.account):\n            raise LedgerError(\"INVALID_ARGUMENT\", 0)\n        result = summarize(sys.stdin, args.account)\n    except LedgerError as error:\n        print(json.dumps({\"error\": {\"code\": error.code, \"line\": error.line}}), file=sys.stderr)\n        return 2\n    print(json.dumps(result, indent=2 if args.pretty else None))\n    return 0\n","b9b374b5ac85bcba09e39aac0ca23221eeb5a889c264a0e8e46cac3e5d539b38":"\"\"\"End-to-end checks of the public command and its output contract.\"\"\"\n\nimport json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef credit(event_id=\"c\", account=\"a\", amount=100, currency=\"USD\"):\n    return dict(id=event_id, type=\"credit\", account=account, currency=currency, amount=amount)\n\n\ndef debit(event_id=\"d\", account=\"a\", amount=100, currency=\"USD\"):\n    return dict(id=event_id, type=\"debit\", account=account, currency=currency, amount=amount)\n\n\ndef transfer(event_id=\"t\", source=\"a\", destination=\"b\", amount=30):\n    return {\"id\": event_id, \"type\": \"transfer\", \"from\": source, \"to\": destination,\n            \"currency\": \"USD\", \"amount\": amount}\n\n\nclass CLITests(unittest.TestCase):\n    def run_cli(self, events=(), args=(), raw=None):\n        if raw is None:\n            raw = \"\".join(json.dumps(event) + \"\\n\" for event in events)\n        return subprocess.run([sys.executable, \"-m\", \"ledger\", *args], input=raw,\n                              text=True, capture_output=True, cwd=ROOT)\n\n    def success(self, events=(), args=(), raw=None):\n        result = self.run_cli(events, args, raw)\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, \"\")\n        self.assertTrue(result.stdout.endswith(\"\\n\"))\n        return json.loads(result.stdout)\n\n    def failure(self, events=(), code=\"INVALID_EVENT\", line=1, args=(), raw=None):\n        result = self.run_cli(events, args, raw)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, \"\")\n        self.assertEqual(json.loads(result.stderr), {\"error\": {\"code\": code, \"line\": line}})\n        self.assertEqual(len(result.stderr.splitlines()), 1)\n        self.assertTrue(result.stderr.endswith(\"\\n\"))\n\n    def test_empty_and_blank(self):\n        expected = {\"processed\": 0, \"duplicates\": 0, \"accounts\": [], \"totals\": {\"USD\": 0, \"EUR\": 0}}\n        self.assertEqual(self.success(), expected)\n        self.assertEqual(self.success(raw=\"\\n \\t\\n\"), expected)\n\n    def test_readme_example(self):\n        self.assertEqual(self.success([credit(), transfer()]), {\n            \"processed\": 2, \"duplicates\": 0,\n            \"accounts\": [{\"id\": \"a\", \"USD\": 70, \"EUR\": 0}, {\"id\": \"b\", \"USD\": 30, \"EUR\": 0}],\n            \"totals\": {\"USD\": 100, \"EUR\": 0}})\n\n    def test_sort_currencies_zero_balances_and_large_totals(self):\n        events = [credit(\"1\", \"z\", 10**12), credit(\"2\", \"z\", 10**12),\n                  credit(\"3\", \"A\", 1, \"EUR\"), debit(\"4\", \"A\", 1, \"EUR\"),\n                  transfer(\"5\", \"z\", \"a\", 1)]\n        result = self.success(events)\n        self.assertEqual(result[\"accounts\"], [{\"id\": \"A\", \"USD\": 0, \"EUR\": 0},\n                         {\"id\": \"a\", \"USD\": 1, \"EUR\": 0},\n                         {\"id\": \"z\", \"USD\": 2*10**12-1, \"EUR\": 0}])\n        self.assertEqual(result[\"totals\"], {\"USD\": 2*10**12, \"EUR\": 0})\n\n    def test_duplicates_skip_balance_checks_and_key_order(self):\n        for movement in [debit(), transfer(amount=100)]:\n            with self.subTest(movement=movement):\n                reordered = dict(reversed(list(movement.items())))\n                result = self.success([credit(), movement, reordered, credit()])\n                self.assertEqual((result[\"processed\"], result[\"duplicates\"]), (2, 2))\n                self.assertEqual(result[\"accounts\"][0][\"USD\"], 0)\n\n    def test_duplicate_conflicts_and_validation_precedence(self):\n        for changed in [credit(amount=1), credit(account=\"b\"), credit(currency=\"EUR\"), debit(\"c\")]:\n            self.failure([credit(), changed], \"DUPLICATE_ID\", 2)\n        self.failure([credit(), credit(amount=True)], line=2)\n\n    def test_schema_rejections(self):\n        bad = [None, [], 1, True, \"event\", {}, {**credit(), \"extra\": 0}]\n        bad += [{key: value for key, value in credit().items() if key != omitted}\n                for omitted in credit()]\n        for field, values in {\n            \"id\": [None, 1, \"\", \" a\", \"a\\n\", \"é\", \"a.b\", \"a\"*33],\n            \"account\": [False, [], \"\", \"a b\", \"a/b\", \"a\"*33],\n            \"currency\": [None, [], {}, \"usd\", \"GBP\", 1],\n            \"amount\": [None, True, False, 0, -1, 10**12+1, 1.0, \"1\", [], {}],\n            \"type\": [None, [], {}, \"Credit\", \"unknown\", 1],\n        }.items():\n            bad.extend({**credit(), field: value} for value in values)\n        bad += [transfer(destination=\"a\"), {**transfer(), \"from\": \" bad\"},\n                {**transfer(), \"to\": 1}, {**transfer(), \"account\": \"a\"}]\n        for event in bad:\n            with self.subTest(event=event):\n                self.failure([event])\n\n    def test_identifier_boundaries_and_case(self):\n        result = self.success([credit(\"_\"*32, \"-\"*32, 1), credit(\"A\", \"A\", 1), credit(\"a\", \"a\", 1)])\n        self.assertEqual(result[\"processed\"], 3)\n        self.assertEqual([a[\"id\"] for a in result[\"accounts\"]], [\"-\"*32, \"A\", \"a\"])\n\n    def test_insufficient_funds(self):\n        for events in [[debit()], [transfer()], [credit(), debit(amount=101)],\n                       [credit(), transfer(amount=101)], [credit(), debit(currency=\"EUR\")]]:\n            with self.subTest(events=events):\n                self.failure(events, \"INSUFFICIENT_FUNDS\", len(events))\n\n    def test_json_and_physical_lines_first_error(self):\n        for raw in [\"{\", '{\"id\": NaN}', '{\"id\": Infinity}', \"{} {}\", \"[1,]\", \"//comment\"]:\n            self.failure(code=\"INVALID_JSON\", line=4,\n                         raw=\"\\n\" + json.dumps(credit()) + \"\\n \\n\" + raw + \"\\n{}\\n\")\n        self.failure(raw=\"\\n{}\\n{\", line=2)\n        self.assertEqual(self.success(raw=json.dumps(credit()))[\"processed\"], 1)\n\n    def test_filter_and_pretty(self):\n        events = [credit(), transfer(), credit(\"e\", \"b\", 12, \"EUR\"), credit()]\n        result = self.success(events, [\"--account\", \"b\"])\n        self.assertEqual(result, {\"processed\": 3, \"duplicates\": 1,\n                         \"accounts\": [{\"id\": \"b\", \"USD\": 30, \"EUR\": 12}],\n                         \"totals\": {\"USD\": 30, \"EUR\": 12}})\n        missing = self.success(events, [\"--account\", \"missing\"])\n        self.assertEqual(missing[\"accounts\"], [])\n        self.assertEqual(missing[\"totals\"], {\"USD\": 0, \"EUR\": 0})\n        pretty = self.run_cli(events, [\"--account\", \"b\", \"--pretty\"])\n        self.assertEqual(json.loads(pretty.stdout), result)\n        self.assertGreater(len(pretty.stdout.splitlines()), 1)\n        self.failure([credit(), debit(account=\"other\")], \"INSUFFICIENT_FUNDS\", 2,\n                     args=[\"--account\", \"a\", \"--pretty\"])\n\n    def test_arguments_and_help(self):\n        for args in [[\"--unknown\"], [\"--account\"], [\"--account\", \"bad id\"],\n                     [\"--account\", \"\"], [\"--account\", \"é\"], [\"--account\", \"a\"*33],\n                     [\"--pretty=yes\"], [\"--acc\", \"a\"], [\"positional\"]]:\n            with self.subTest(args=args):\n                self.failure(code=\"INVALID_ARGUMENT\", line=0, args=args, raw=\"{\")\n        result = self.run_cli(args=[\"--help\"], raw=\"{\")\n        self.assertEqual(result.returncode, 0)\n        self.assertEqual(result.stderr, \"\")\n        for text in [\"usage:\", \"--account\", \"--pretty\", \"stdin\"]:\n            self.assertIn(text, result.stdout)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n","70cb6c7cfd6ab59aeacd1860440b2659fa8ad9ef9fa39ab9e316c8f600672b3f":"# Quote CLI\nRun python3 quote.py. Read one JSON object from stdin with exactly items and tax_bps. items is a nonempty list of at most 100 objects with exactly sku, quantity, unit_cents. sku is an ASCII identifier [A-Za-z0-9_-]{1,32}; duplicates are allowed as separate lines. quantity is an integer 1..1000 and unit_cents an integer 0..1000000; booleans and floats are forbidden. tax_bps is an integer 0..10000, also excluding booleans and floats.\nCompute subtotal_cents as the sum of quantity*unit_cents. Discount is 10% of subtotal when subtotal is AT LEAST 10000 cents, otherwise zero; round half up to cents. Compute tax on subtotal minus discount at tax_bps/10000, also rounding half up. Shipping costs 500 cents unless the amount after discount is AT LEAST 15000 cents, when it is free. Output one JSON object with subtotal_cents, discount_cents, tax_cents, shipping_cents, total_cents. total includes discounted subtotal, tax and shipping. Use integer arithmetic.\nFor any malformed JSON, schema or value error, output nothing to stdout, output exactly {\"error\":\"INVALID_ORDER\"} as JSON to stderr, and exit 2. Success exits 0. No command-line options are supported; reject any with INVALID_ORDER.\nUsers report invalid boolean quantities are accepted, the discount threshold is wrong at its exact boundary, and half-cent tax is rounded down. Fix these regressions and preserve all other behavior.\n","920a61ad206722552effb748fdaa50b5b0e8cbd38bb011b8923c3615265ec948":"Fix the quote CLI regressions described in README.md, preserve the other documented behavior, and verify the fix. Keep README.md and TASK.txt unchanged. Use Python standard library only. Work only within this project, without external services or other projects. You may add your own tests and documentation. Finish with a concise report when the requested work is complete.\n","f3c96896d898d7de082332277e4fd0173a3763f7d2aa78a37f00f8f93787b58c":"import json,re,sys\n\ndef quote(order):\n    if not isinstance(order,dict) or set(order)!={'items','tax_bps'}:raise ValueError()\n    items=order['items'];rate=order['tax_bps']\n    if not isinstance(items,list) or not 1<=len(items)<=100 or type(rate) is not int or not 0<=rate<=10000:raise ValueError()\n    subtotal=0\n    for item in items:\n        if not isinstance(item,dict) or set(item)!={'sku','quantity','unit_cents'}:raise ValueError()\n        sku,q,p=item['sku'],item['quantity'],item['unit_cents']\n        if not isinstance(sku,str) or re.fullmatch(r'[A-Za-z0-9_-]{1,32}',sku) is None or type(q) is not int or not 1<=q<=1000 or type(p) is not int or not 0<=p<=1000000:raise ValueError()\n        subtotal+=q*p\n    discount=(subtotal*10+50)//100 if subtotal>=10000 else 0\n    net=subtotal-discount\n    tax=(net*rate+5000)//10000\n    shipping=0 if net>=15000 else 500\n    return dict(subtotal_cents=subtotal,discount_cents=discount,tax_cents=tax,shipping_cents=shipping,total_cents=net+tax+shipping)\n\ndef main():\n    try:\n        if len(sys.argv)!=1:raise ValueError()\n        result=quote(json.load(sys.stdin))\n    except (ValueError,TypeError,KeyError):\n        print(json.dumps({'error':'INVALID_ORDER'}),file=sys.stderr);return 2\n    print(json.dumps(result));return 0\nif __name__=='__main__':raise SystemExit(main())\n","c5db774c11f48df3da5be90e8009082af6b68d865af23484238a8de8f702ec6a":"import copy\nimport json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\n\nCLI = Path(__file__).with_name('quote.py')\n\n\ndef order(price=100, quantity=1, rate=0):\n    return {'items': [{'sku': 'SKU_1-a', 'quantity': quantity,\n                       'unit_cents': price}], 'tax_bps': rate}\n\n\nclass QuoteCLITests(unittest.TestCase):\n    def run_cli(self, payload, args=()):\n        return subprocess.run([sys.executable, str(CLI), *args],\n                              input=payload, text=True, capture_output=True)\n\n    def assert_invalid(self, payload, args=()):\n        result = self.run_cli(payload, args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(json.loads(result.stderr), {'error': 'INVALID_ORDER'})\n        self.assertEqual(len(result.stderr.splitlines()), 1)\n\n    def assert_quote(self, value, expected):\n        result = self.run_cli(json.dumps(value))\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, '')\n        self.assertEqual(len(result.stdout.splitlines()), 1)\n        keys = ('subtotal_cents', 'discount_cents', 'tax_cents',\n                'shipping_cents', 'total_cents')\n        actual = json.loads(result.stdout)\n        self.assertEqual(actual, dict(zip(keys, expected)))\n        self.assertTrue(all(type(v) is int for v in actual.values()))\n\n    def test_calculation_boundaries(self):\n        cases = [\n            (order(0), (0, 0, 0, 500, 500)),\n            (order(9999), (9999, 0, 0, 500, 10499)),\n            (order(10000), (10000, 1000, 0, 500, 9500)),\n            (order(10004), (10004, 1000, 0, 500, 9504)),\n            (order(10005), (10005, 1001, 0, 500, 9504)),\n            (order(1, rate=4999), (1, 0, 0, 500, 501)),\n            (order(1, rate=5000), (1, 0, 1, 500, 502)),\n            (order(1, rate=5001), (1, 0, 1, 500, 502)),\n            (order(10000, rate=10000), (10000, 1000, 9000, 500, 18500)),\n            (order(16666), (16666, 1667, 0, 500, 15499)),\n            (order(16667), (16667, 1667, 0, 0, 15000)),\n            (order(16668), (16668, 1667, 0, 0, 15001)),\n        ]\n        for value, expected in cases:\n            with self.subTest(value=value):\n                self.assert_quote(value, expected)\n\n    def test_duplicate_lines_and_maximum_values(self):\n        value = order(1000000, quantity=1000, rate=10000)\n        value['items'] *= 100\n        self.assert_quote(value, (100000000000, 10000000000,\n                                  90000000000, 0, 180000000000))\n        value = order(50)\n        value['items'] *= 2\n        self.assert_quote(value, (100, 0, 0, 500, 600))\n\n    def test_numeric_validation(self):\n        for field, invalid in (\n            ('quantity', [True, False, 1.0, 0, -1, 1001, '1', None, [], {}]),\n            ('unit_cents', [True, False, 0.0, -1, 1000001, '1', None, [], {}]),\n            ('tax_bps', [True, False, 0.0, -1, 10001, '1', None, [], {}]),\n        ):\n            for bad in invalid:\n                value = order()\n                target = value if field == 'tax_bps' else value['items'][0]\n                target[field] = bad\n                with self.subTest(field=field, bad=bad):\n                    self.assert_invalid(json.dumps(value))\n\n    def test_schema_validation(self):\n        invalid = [None, [], 1, 'order', {}, {'items': []},\n                   {'items': [], 'tax_bps': 0}]\n        for items in (None, {}, 'items', [None], [[]], [1], [{}],\n                      order()['items'] * 101):\n            invalid.append({'items': items, 'tax_bps': 0})\n        for base in (order(), order()['items'][0]):\n            for key in base:\n                changed = copy.deepcopy(base)\n                del changed[key]\n                invalid.append(changed if 'items' in base else\n                               {'items': [changed], 'tax_bps': 0})\n            changed = copy.deepcopy(base)\n            changed['extra'] = 0\n            invalid.append(changed if 'items' in base else\n                           {'items': [changed], 'tax_bps': 0})\n        for value in invalid:\n            with self.subTest(value=value):\n                self.assert_invalid(json.dumps(value))\n\n    def test_sku_validation(self):\n        for sku in ('', 'x' * 33, 'é', 'a b', 'a\\n', 'a.b', 1, None, True):\n            value = order()\n            value['items'][0]['sku'] = sku\n            with self.subTest(sku=sku):\n                self.assert_invalid(json.dumps(value))\n        for sku in ('a', 'Z' * 32, 'AZaz09_-'):\n            value = order()\n            value['items'][0]['sku'] = sku\n            self.assert_quote(value, (100, 0, 0, 500, 600))\n\n    def test_malformed_json_and_arguments(self):\n        for payload in ('', '{', '{} {}', '{\"items\":}', 'null trailing'):\n            with self.subTest(payload=payload):\n                self.assert_invalid(payload)\n        for args in (('--help',), ('--version',), ('extra',), ('--',)):\n            with self.subTest(args=args):\n                self.assert_invalid(json.dumps(order()), args)\n\n\nif __name__ == '__main__':\n    unittest.main()\n","54a23ccff9a9a42d5be1a104ab934230f37c282dec2b2fbe48e0830205d9d796":"import copy\nimport json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\n\nCLI = Path(__file__).with_name('quote.py')\n\n\ndef order(price=100, quantity=1, rate=0):\n    return {'items': [{'sku': 'A', 'quantity': quantity, 'unit_cents': price}],\n            'tax_bps': rate}\n\n\nclass QuoteCLITest(unittest.TestCase):\n    def run_cli(self, payload, *args):\n        return subprocess.run([sys.executable, str(CLI), *args], input=payload,\n                              text=True, capture_output=True, check=False)\n\n    def assert_invalid(self, payload, *args):\n        result = self.run_cli(payload, *args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(json.loads(result.stderr), {'error': 'INVALID_ORDER'})\n        self.assertEqual(len(result.stderr.splitlines()), 1)\n\n    def assert_quote(self, data, subtotal, discount, tax, shipping, total):\n        result = self.run_cli(json.dumps(data))\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, '')\n        self.assertEqual(len(result.stdout.splitlines()), 1)\n        self.assertEqual(json.loads(result.stdout), dict(\n            subtotal_cents=subtotal, discount_cents=discount, tax_cents=tax,\n            shipping_cents=shipping, total_cents=total))\n\n    def test_discount_boundary_and_rounding(self):\n        for price, discount in [(9999, 0), (10000, 1000), (10001, 1000),\n                                (10004, 1000), (10005, 1001), (10006, 1001)]:\n            with self.subTest(price=price):\n                self.assert_quote(order(price), price, discount, 0, 500,\n                                  price - discount + 500)\n\n    def test_tax_rounding(self):\n        for rate, tax in [(0, 0), (4999, 0), (5000, 1), (5001, 1), (10000, 1)]:\n            with self.subTest(rate=rate):\n                self.assert_quote(order(1, rate=rate), 1, 0, tax, 500, 501 + tax)\n        self.assert_quote(order(10005, rate=1250), 10005, 1001, 1126, 500, 10630)\n\n    def test_shipping_uses_discounted_subtotal_without_tax(self):\n        self.assert_quote(order(15000, rate=10000), 15000, 1500, 13500, 500, 27500)\n        self.assert_quote(order(16666), 16666, 1667, 0, 500, 15499)\n        self.assert_quote(order(16667), 16667, 1667, 0, 0, 15000)\n        self.assert_quote(order(16668), 16668, 1667, 0, 0, 15001)\n\n    def test_zero_duplicate_skus_and_limits(self):\n        self.assert_quote(order(0), 0, 0, 0, 500, 500)\n        data = order(1000000, quantity=1000, rate=10000)\n        data['items'][0]['sku'] = 'Az09_-' + 'x' * 26\n        data['items'] *= 100\n        self.assert_quote(data, 100000000000, 10000000000, 90000000000,\n                          0, 180000000000)\n        data = order(200, quantity=2)\n        data['items'].append({'sku': 'A', 'quantity': 3, 'unit_cents': 100})\n        self.assert_quote(data, 700, 0, 0, 500, 1200)\n\n    def test_invalid_numeric_values(self):\n        cases = {\n            'quantity': [True, False, 1.0, 0, -1, 1001, '1', None, [], {}],\n            'unit_cents': [True, False, 0.0, -1, 1000001, '1', None, [], {}],\n            'tax_bps': [True, False, 0.0, -1, 10001, '1', None, [], {}],\n        }\n        for field, values in cases.items():\n            for value in values:\n                with self.subTest(field=field, value=value):\n                    data = order()\n                    target = data if field == 'tax_bps' else data['items'][0]\n                    target[field] = value\n                    self.assert_invalid(json.dumps(data))\n\n    def test_invalid_schema_and_skus(self):\n        invalid = [None, [], 1, True, 'order', {}, {'items': []}]\n        for items in [[], [order()['items'][0]] * 101, {}, None, 'items', [None], [[]]]:\n            invalid.append({'items': items, 'tax_bps': 0})\n        for location in ['root', 'item']:\n            base = order()\n            target = base if location == 'root' else base['items'][0]\n            for key in list(target):\n                data = copy.deepcopy(base)\n                del (data if location == 'root' else data['items'][0])[key]\n                invalid.append(data)\n            target['extra'] = 1\n            invalid.append(base)\n        for sku in ['', 'a' * 33, 'é', 'a b', 'a\\n', 'a.b', 1, True, None, []]:\n            data = order()\n            data['items'][0]['sku'] = sku\n            invalid.append(data)\n        for data in invalid:\n            with self.subTest(data=data):\n                self.assert_invalid(json.dumps(data))\n\n    def test_malformed_json_and_arguments(self):\n        for payload in ['', '{', '{} {}', '{\"items\": [],}', 'not json']:\n            with self.subTest(payload=payload):\n                self.assert_invalid(payload)\n        for args in [('--help',), ('--version',), ('file.json',), ('--',), ('a', 'b')]:\n            with self.subTest(args=args):\n                self.assert_invalid(json.dumps(order()), *args)\n\n\nif __name__ == '__main__':\n    unittest.main()\n","0b2a8b35d898784a8676140eac83daa40c43e8638dcfb68a621f2b6eb31b2035":"\"\"\"Validate and summarize a batch of JSON Lines ledger events.\"\"\"\n\nimport argparse\nimport json\nimport re\nimport sys\n\n\nIDENTIFIER = re.compile(r\"[A-Za-z0-9_-]{1,32}\", re.ASCII)\nFIELDS = {\n    \"credit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"debit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"transfer\": {\"id\", \"type\", \"from\", \"to\", \"currency\", \"amount\"},\n}\n\n\nclass LedgerError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n        super().__init__(code)\n\n\nclass ArgumentParser(argparse.ArgumentParser):\n    def error(self, message):\n        raise LedgerError(\"INVALID_ARGUMENT\")\n\n\ndef valid_identifier(value):\n    return isinstance(value, str) and IDENTIFIER.fullmatch(value) is not None\n\n\ndef account_argument(value):\n    if not valid_identifier(value):\n        raise argparse.ArgumentTypeError(\"invalid account identifier\")\n    return value\n\n\ndef validate_event(event, line):\n    if not isinstance(event, dict):\n        raise LedgerError(\"INVALID_EVENT\", line)\n    kind = event.get(\"type\")\n    if not isinstance(kind, str) or kind not in FIELDS or set(event) != FIELDS[kind]:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    names = (\"id\", \"from\", \"to\") if kind == \"transfer\" else (\"id\", \"account\")\n    if (\n        any(not valid_identifier(event[name]) for name in names)\n        or event[\"currency\"] not in (\"USD\", \"EUR\")\n        or type(event[\"amount\"]) is not int\n        or not 1 <= event[\"amount\"] <= 1_000_000_000_000\n        or (kind == \"transfer\" and event[\"from\"] == event[\"to\"])\n    ):\n        raise LedgerError(\"INVALID_EVENT\", line)\n\n\ndef reject_constant(value):\n    # Python's decoder otherwise accepts NaN and Infinity, which are not JSON.\n    raise ValueError(\"non-JSON numeric constant\")\n\n\ndef summarize(lines, account=None):\n    balances = {}\n    seen = {}\n    duplicates = 0\n    for line_number, raw in enumerate(lines, 1):\n        try:\n            if isinstance(raw, bytes):\n                raw = raw.decode(\"utf-8\")\n            if not raw.strip():\n                continue\n            event = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LedgerError(\"INVALID_JSON\", line_number) from None\n        validate_event(event, line_number)\n        event_id = event[\"id\"]\n        if event_id in seen:\n            if seen[event_id] != event:\n                raise LedgerError(\"DUPLICATE_ID\", line_number)\n            duplicates += 1\n            continue\n\n        kind, currency, amount = event[\"type\"], event[\"currency\"], event[\"amount\"]\n        source = event[\"from\"] if kind == \"transfer\" else event[\"account\"]\n        if kind != \"credit\" and balances.get(source, {}).get(currency, 0) < amount:\n            raise LedgerError(\"INSUFFICIENT_FUNDS\", line_number)\n        balances.setdefault(source, {\"USD\": 0, \"EUR\": 0})\n        if kind == \"credit\":\n            balances[source][currency] += amount\n        else:\n            balances[source][currency] -= amount\n            if kind == \"transfer\":\n                destination = event[\"to\"]\n                balances.setdefault(destination, {\"USD\": 0, \"EUR\": 0})\n                balances[destination][currency] += amount\n        seen[event_id] = event\n\n    accounts = [\n        {\"id\": name, **balances[name]}\n        for name in sorted(balances)\n        if account is None or name == account\n    ]\n    return {\n        \"processed\": len(seen),\n        \"duplicates\": duplicates,\n        \"accounts\": accounts,\n        \"totals\": {\n            currency: sum(row[currency] for row in accounts)\n            for currency in (\"USD\", \"EUR\")\n        },\n    }\n\n\ndef main(argv=None):\n    parser = ArgumentParser(\n        description=\"Validate ledger JSON Lines from stdin and write a JSON summary.\",\n        allow_abbrev=False,\n    )\n    parser.add_argument(\n        \"--account\", type=account_argument, metavar=\"ID\",\n        help=\"show only this account and its totals\",\n    )\n    parser.add_argument(\"--pretty\", action=\"store_true\", help=\"indent the JSON summary\")\n    try:\n        args = parser.parse_args(argv)\n        result = summarize(getattr(sys.stdin, \"buffer\", sys.stdin), args.account)\n    except LedgerError as error:\n        print(json.dumps(\n            {\"error\": {\"code\": error.code, \"line\": error.line}},\n            separators=(\",\", \":\"),\n        ), file=sys.stderr)\n        return 2\n    print(json.dumps(\n        result, indent=2 if args.pretty else None,\n        separators=None if args.pretty else (\",\", \":\"),\n    ))\n    return 0\n","6f2a73908e5ec6adfe7a16ba958da0157af94464ea73e34df959749639c54704":"\"\"\"Contract checks, including real subprocess exit codes and output streams.\"\"\"\n\nimport json\nfrom pathlib import Path\nimport random\nimport subprocess\nimport sys\nimport unittest\n\nfrom ledger.cli import summarize\n\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef credit(**changes):\n    return dict({\"id\": \"e1\", \"type\": \"credit\", \"account\": \"a\", \"currency\": \"USD\", \"amount\": 100}, **changes)\n\n\ndef transfer(**changes):\n    return dict({\"id\": \"e2\", \"type\": \"transfer\", \"from\": \"a\", \"to\": \"b\", \"currency\": \"USD\", \"amount\": 30}, **changes)\n\n\ndef lines(*events):\n    return \"\".join(json.dumps(event) + \"\\n\" for event in events)\n\n\nclass LedgerTests(unittest.TestCase):\n    def run_cli(self, data=\"\", *args):\n        return subprocess.run(\n            [sys.executable, \"-m\", \"ledger\", *args], input=data,\n            capture_output=True, text=isinstance(data, str), cwd=ROOT,\n        )\n\n    def success(self, data=\"\", *args):\n        result = self.run_cli(data, *args)\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, \"\")\n        self.assertTrue(result.stdout.endswith(\"\\n\"))\n        if \"--pretty\" not in args:\n            self.assertEqual(result.stdout.count(\"\\n\"), 1)\n        return json.loads(result.stdout)\n\n    def failure(self, data, code, line, *args):\n        result = self.run_cli(data, *args)\n        self.assertEqual(result.returncode, 2)\n        expected = json.dumps({\"error\": {\"code\": code, \"line\": line}}, separators=(\",\", \":\")) + \"\\n\"\n        self.assertEqual(result.stdout, b\"\" if isinstance(data, bytes) else \"\")\n        self.assertEqual(result.stderr, expected.encode() if isinstance(data, bytes) else expected)\n\n    def test_empty_and_blank(self):\n        expected = {\"processed\": 0, \"duplicates\": 0, \"accounts\": [], \"totals\": {\"USD\": 0, \"EUR\": 0}}\n        for data in (\"\", \"\\n \\t\\r\\n\"):\n            self.assertEqual(self.success(data), expected)\n\n    def test_readme_example(self):\n        self.assertEqual(self.success(lines(credit(), transfer())), {\n            \"processed\": 2, \"duplicates\": 0,\n            \"accounts\": [{\"id\": \"a\", \"USD\": 70, \"EUR\": 0}, {\"id\": \"b\", \"USD\": 30, \"EUR\": 0}],\n            \"totals\": {\"USD\": 100, \"EUR\": 0},\n        })\n\n    def test_balances_sorting_zero_retention_and_case(self):\n        events = [credit(account=\"z\"), credit(id=\"e2\", account=\"A\", currency=\"EUR\", amount=1),\n                  credit(id=\"e3\", account=\"z\", type=\"debit\"), credit(id=\"E1\", account=\"a\", amount=10**12)]\n        result = self.success(lines(*events).rstrip(\"\\n\"))\n        self.assertEqual(result[\"accounts\"], [\n            {\"id\": \"A\", \"USD\": 0, \"EUR\": 1}, {\"id\": \"a\", \"USD\": 10**12, \"EUR\": 0},\n            {\"id\": \"z\", \"USD\": 0, \"EUR\": 0}])\n        self.assertEqual(result[\"totals\"], {\"USD\": 10**12, \"EUR\": 1})\n\n    def test_duplicates_skip_effect_and_balance_check(self):\n        debit = credit(id=\"d\", type=\"debit\")\n        reordered = dict(reversed(list(debit.items())))\n        result = self.success(lines(credit(), debit, reordered, credit()))\n        self.assertEqual((result[\"processed\"], result[\"duplicates\"]), (2, 2))\n        self.assertEqual(result[\"accounts\"], [{\"id\": \"a\", \"USD\": 0, \"EUR\": 0}])\n        result = self.success(lines(credit(), transfer(amount=100), transfer(amount=100)))\n        self.assertEqual(result[\"duplicates\"], 1)\n\n    def test_conflicts_and_schema_precedence(self):\n        for change in ({\"amount\": 1}, {\"account\": \"b\"}, {\"currency\": \"EUR\"}, {\"type\": \"debit\"}):\n            with self.subTest(change=change):\n                self.failure(lines(credit(), credit(**change)), \"DUPLICATE_ID\", 2)\n        self.failure(lines(credit(), credit(amount=True)), \"INVALID_EVENT\", 2)\n        self.failure(lines(credit(), transfer(id=\"e1\")), \"DUPLICATE_ID\", 2)\n\n    def test_invalid_schemas(self):\n        invalid = [None, [], 1, \"event\", True, {}, transfer(to=\"a\")]\n        for field in credit():\n            event = credit()\n            del event[field]\n            invalid.append(event)\n        invalid.extend([credit(extra=1), transfer(account=\"a\")])\n        for field in (\"id\", \"account\"):\n            for value in (None, False, 1, [], {}, \"\", \"a b\", \" a\", \"a\\n\", \"é\", \"a\" * 33):\n                invalid.append(credit(**{field: value}))\n        for field, values in {\n            \"type\": [None, [], {}, 1, \"CREDIT\", \"unknown\"],\n            \"currency\": [None, [], {}, 1, \"usd\", \"GBP\", \"USD \"],\n            \"amount\": [None, [], {}, \"1\", True, False, 1.0, 0, -1, 10**12 + 1],\n        }.items():\n            invalid.extend(credit(**{field: value}) for value in values)\n        invalid.extend([transfer(**{\"from\": \" a\"}), transfer(to=1)])\n        for event in invalid:\n            with self.subTest(event=event):\n                self.failure(lines(event), \"INVALID_EVENT\", 1)\n\n    def test_invalid_json_and_first_physical_line(self):\n        for bad in (\"{\", \"{} {}\", \"{'id': 1}\", \"NaN\", \"Infinity\", \"-Infinity\", '{\"x\": NaN}'):\n            with self.subTest(bad=bad):\n                self.failure(\"\\n\" + lines(credit()) + \" \\n\" + bad + \"\\n{}\\n\", \"INVALID_JSON\", 4)\n        self.failure(b'\\n\\xff\\n', \"INVALID_JSON\", 2)\n        self.failure(\"\\n{}\\n{\\n\", \"INVALID_EVENT\", 2)\n\n    def test_insufficient_funds_and_currency_isolation(self):\n        for events in ([credit(type=\"debit\")], [transfer()],\n                       [credit(), transfer(amount=101)],\n                       [credit(), credit(id=\"d\", type=\"debit\", currency=\"EUR\", amount=1)]):\n            with self.subTest(events=events):\n                self.failure(lines(*events), \"INSUFFICIENT_FUNDS\", len(events))\n\n    def test_filter_and_pretty(self):\n        data = lines(credit(), transfer())\n        for account, rows, total in (\n            (\"a\", [{\"id\": \"a\", \"USD\": 70, \"EUR\": 0}], 70),\n            (\"b\", [{\"id\": \"b\", \"USD\": 30, \"EUR\": 0}], 30),\n            (\"missing\", [], 0),\n        ):\n            result = self.success(data, \"--account\", account)\n            self.assertEqual(result[\"accounts\"], rows)\n            self.assertEqual(result[\"totals\"], {\"USD\": total, \"EUR\": 0})\n            self.assertEqual(result[\"processed\"], 2)\n            self.assertEqual(self.success(data, \"--pretty\", \"--account\", account), result)\n        self.assertIn('\\n  \"processed\"', self.run_cli(data, \"--pretty\").stdout)\n        self.failure(data + lines(credit(id=\"bad\", account=\"other\", type=\"debit\")),\n                     \"INSUFFICIENT_FUNDS\", 3, \"--account\", \"a\")\n\n    def test_arguments_and_help(self):\n        for args in ((\"--unknown\",), (\"--account\",), (\"--account\", \"bad id\"),\n                     (\"--account=\",), (\"--account\", \"é\"), (\"--account\", \"a\" * 33),\n                     (\"--pretty=yes\",), (\"positional\",), (\"--acc\", \"a\")):\n            with self.subTest(args=args):\n                self.failure(\"{\", \"INVALID_ARGUMENT\", 0, *args)\n        result = self.run_cli(\"{\", \"--help\")\n        self.assertEqual(result.returncode, 0)\n        self.assertEqual(result.stderr, \"\")\n        for text in (\"usage:\", \"--account\", \"--pretty\", \"stdin\"):\n            self.assertIn(text, result.stdout)\n        self.success(lines(credit(account=\"A_0-\" + \"x\" * 28)), \"--account=A_0-\" + \"x\" * 28)\n\n    def test_deterministic_generated_batch_against_reference(self):\n        rng = random.Random(1234)\n        expected = {}\n        events = []\n        unique = 0\n        duplicates = 0\n        for i in range(500):\n            name, destination = rng.sample([\"a\", \"B\", \"c_1\", \"D-2\"], 2)\n            currency = rng.choice([\"USD\", \"EUR\"])\n            available = expected.get(name, {}).get(currency, 0)\n            kind = rng.choice([\"credit\", \"debit\", \"transfer\"]) if available else \"credit\"\n            amount = rng.randint(1, available if kind != \"credit\" else 1000)\n            expected.setdefault(name, {\"USD\": 0, \"EUR\": 0})\n            event = credit(id=str(i), account=name, type=kind, currency=currency, amount=amount)\n            if kind == \"credit\":\n                expected[name][currency] += amount\n            else:\n                expected[name][currency] -= amount\n                if kind == \"transfer\":\n                    event.pop(\"account\")\n                    event.update({\"from\": name, \"to\": destination})\n                    expected.setdefault(destination, {\"USD\": 0, \"EUR\": 0})[currency] += amount\n            events.append(event)\n            unique += 1\n            if rng.random() < 0.3:\n                events.append(rng.choice(events).copy())\n                duplicates += 1\n        result = self.success(lines(*events))\n        self.assertEqual(result[\"processed\"], unique)\n        self.assertEqual(result[\"duplicates\"], duplicates)\n        self.assertEqual(result[\"accounts\"], [{\"id\": key, **expected[key]} for key in sorted(expected)])\n        self.assertEqual(result[\"totals\"], {c: sum(v[c] for v in expected.values()) for c in (\"USD\", \"EUR\")})\n        self.assertEqual(summarize(lines(*events).splitlines()), result)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n","0198e1f11a7f5ac5cc48bdcd50f0311d79455196205778877ee8f13c77d39ee9":"\"\"\"Validate and summarize a batch of JSON Lines ledger events.\"\"\"\n\nimport argparse\nimport json\nimport re\nimport sys\n\n\nIDENTIFIER = re.compile(r\"[A-Za-z0-9_-]{1,32}\", re.ASCII)\nFIELDS = {\n    \"credit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"debit\": {\"id\", \"type\", \"account\", \"currency\", \"amount\"},\n    \"transfer\": {\"id\", \"type\", \"from\", \"to\", \"currency\", \"amount\"},\n}\n\n\nclass LedgerError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n        super().__init__(code)\n\n\nclass ArgumentParser(argparse.ArgumentParser):\n    def error(self, message):\n        raise LedgerError(\"INVALID_ARGUMENT\")\n\n\ndef valid_identifier(value):\n    return isinstance(value, str) and IDENTIFIER.fullmatch(value) is not None\n\n\ndef validate(event, line):\n    if not isinstance(event, dict):\n        raise LedgerError(\"INVALID_EVENT\", line)\n    kind = event.get(\"type\")\n    if not isinstance(kind, str) or kind not in FIELDS:\n        raise LedgerError(\"INVALID_EVENT\", line)\n    names = (\"from\", \"to\") if kind == \"transfer\" else (\"account\",)\n    if (\n        set(event) != FIELDS[kind]\n        or not valid_identifier(event.get(\"id\"))\n        or any(not valid_identifier(event.get(name)) for name in names)\n        or event.get(\"currency\") not in (\"USD\", \"EUR\")\n        or type(event.get(\"amount\")) is not int\n        or not 1 <= event[\"amount\"] <= 1_000_000_000_000\n        or (kind == \"transfer\" and event[\"from\"] == event[\"to\"])\n    ):\n        raise LedgerError(\"INVALID_EVENT\", line)\n\n\ndef reject_constant(value):\n    # Python's JSON decoder otherwise accepts non-JSON NaN and infinities.\n    raise ValueError(\"Invalid JSON constant\")\n\n\ndef summarize(lines, account=None):\n    balances = {}\n    seen = {}\n    duplicates = 0\n    for line_number, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            event = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LedgerError(\"INVALID_JSON\", line_number) from None\n        validate(event, line_number)\n        event_id = event[\"id\"]\n        if event_id in seen:\n            if event != seen[event_id]:\n                raise LedgerError(\"DUPLICATE_ID\", line_number)\n            duplicates += 1\n            continue\n\n        kind, currency, amount = event[\"type\"], event[\"currency\"], event[\"amount\"]\n        source = event.get(\"from\") if kind == \"transfer\" else event[\"account\"]\n        if kind != \"credit\" and balances.get(source, {}).get(currency, 0) < amount:\n            raise LedgerError(\"INSUFFICIENT_FUNDS\", line_number)\n        balances.setdefault(source, {\"USD\": 0, \"EUR\": 0})\n        balances[source][currency] += amount if kind == \"credit\" else -amount\n        if kind == \"transfer\":\n            destination = event[\"to\"]\n            balances.setdefault(destination, {\"USD\": 0, \"EUR\": 0})\n            balances[destination][currency] += amount\n        seen[event_id] = event\n\n    accounts = [\n        {\"id\": name, **balances[name]}\n        for name in sorted(balances)\n        if account is None or name == account\n    ]\n    return {\n        \"processed\": len(seen),\n        \"duplicates\": duplicates,\n        \"accounts\": accounts,\n        \"totals\": {currency: sum(a[currency] for a in accounts) for currency in (\"USD\", \"EUR\")},\n    }\n\n\ndef main(argv=None):\n    parser = ArgumentParser(description=__doc__, allow_abbrev=False)\n    parser.add_argument(\"--account\", metavar=\"ID\", help=\"show only this account and its totals\")\n    parser.add_argument(\"--pretty\", action=\"store_true\", help=\"indent the summary JSON\")\n    try:\n        args = parser.parse_args(argv)\n        if args.account is not None and not valid_identifier(args.account):\n            raise LedgerError(\"INVALID_ARGUMENT\")\n        result = summarize(sys.stdin, args.account)\n    except LedgerError as error:\n        print(json.dumps({\"error\": {\"code\": error.code, \"line\": error.line}}, separators=(\",\", \":\")), file=sys.stderr)\n        return 2\n    print(json.dumps(result, indent=2 if args.pretty else None, separators=None if args.pretty else (\",\", \":\")))\n    return 0\n","3365162ac0e6f263523451442a264c0ff00da531b0a746a6cf30aeb88ee970db":"import json\nimport subprocess\nimport sys\nimport unittest\nfrom pathlib import Path\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef credit(id=\"c\", account=\"a\", amount=100, currency=\"USD\", **extra):\n    return dict(id=id, type=\"credit\", account=account, currency=currency, amount=amount, **extra)\n\n\ndef debit(id=\"d\", **kwargs):\n    return {**credit(id=id, **kwargs), \"type\": \"debit\"}\n\n\ndef transfer(id=\"t\", amount=30):\n    return {\"id\": id, \"type\": \"transfer\", \"from\": \"a\", \"to\": \"b\", \"currency\": \"USD\", \"amount\": amount}\n\n\nclass CliTests(unittest.TestCase):\n    def run_cli(self, events=(), args=(), raw=None):\n        return subprocess.run([sys.executable, \"-m\", \"ledger\", *args],\n                              input=raw if raw is not None else \"\\n\".join(map(json.dumps, events)),\n                              text=True, capture_output=True, cwd=ROOT)\n\n    def success(self, events=(), args=(), raw=None):\n        result = self.run_cli(events, args, raw)\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, \"\")\n        self.assertTrue(result.stdout.endswith(\"\\n\"))\n        return json.loads(result.stdout)\n\n    def failure(self, code, events=(), args=(), raw=None, line=1):\n        result = self.run_cli(events, args, raw)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, \"\")\n        self.assertEqual(json.loads(result.stderr), {\"error\": {\"code\": code, \"line\": line}})\n        self.assertEqual(len(result.stderr.splitlines()), 1)\n\n    def test_empty(self):\n        self.assertEqual(self.success(raw=\"\\n \\t\\n\"), dict(processed=0, duplicates=0, accounts=[], totals=dict(USD=0, EUR=0)))\n\n    def test_balances_sort_zero_and_currencies(self):\n        result = self.success([credit(), transfer(amount=100), debit(account=\"b\"), credit(id=\"e\", account=\"A\", amount=7, currency=\"EUR\")])\n        self.assertEqual(result, {\"processed\": 4, \"duplicates\": 0, \"accounts\": [\n            {\"id\": \"A\", \"USD\": 0, \"EUR\": 7}, {\"id\": \"a\", \"USD\": 0, \"EUR\": 0},\n            {\"id\": \"b\", \"USD\": 0, \"EUR\": 0}], \"totals\": {\"USD\": 0, \"EUR\": 7}})\n\n    def test_duplicates_skip_balance_checks(self):\n        events = [credit(), transfer(amount=100), dict(reversed(list(transfer(amount=100).items()))), credit()]\n        result = self.success(events)\n        self.assertEqual((result[\"processed\"], result[\"duplicates\"]), (2, 2))\n        self.assertEqual(result[\"totals\"][\"USD\"], 100)\n        self.failure(\"DUPLICATE_ID\", [credit(), credit(account=\"b\")], line=2)\n        self.failure(\"INVALID_EVENT\", [credit(), credit(amount=True)], line=2)\n\n    def test_invalid_schemas(self):\n        bad = [None, [], 1, \"text\", {}, credit(extra=1), credit(amount=True), credit(amount=1.0),\n               credit(amount=0), credit(amount=-1), credit(amount=10**12+1), credit(amount=\"1\"),\n               credit(currency=\"usd\"), credit(currency=[]), credit(id=\" a\"), credit(id=\"é\"),\n               credit(account=\"a\\n\"), credit(account=\"\"), credit(id=\"x\"*33),\n               {**credit(), \"type\": []}, {**credit(), \"type\": \"other\"},\n               {**transfer(), \"to\": \"a\"}]\n        for field in credit():\n            event = credit()\n            del event[field]\n            bad.append(event)\n        for event in bad:\n            with self.subTest(event=event):\n                self.failure(\"INVALID_EVENT\", [event])\n\n    def test_json_and_physical_lines(self):\n        for raw in (\"{\", \"{} {}\", '{\"x\":NaN}', '{\"x\":Infinity}'):\n            self.failure(\"INVALID_JSON\", raw=\"\\n\"+json.dumps(credit())+\"\\n\\n\"+raw+\"\\n{}\", line=4)\n\n    def test_insufficient_and_first_error(self):\n        for event in (debit(), transfer()):\n            self.failure(\"INSUFFICIENT_FUNDS\", [event])\n        self.failure(\"INSUFFICIENT_FUNDS\", [credit(currency=\"EUR\"), debit(), {}], line=2)\n\n    def test_filter_and_pretty(self):\n        events = [credit(), transfer(), credit()]\n        result = self.success(events, [\"--account\", \"b\", \"--pretty\"])\n        self.assertEqual(result, dict(processed=2, duplicates=1, accounts=[dict(id=\"b\", USD=30, EUR=0)], totals=dict(USD=30, EUR=0)))\n        self.assertEqual(self.success(events, [\"--account\", \"missing\"])[\"totals\"], dict(USD=0, EUR=0))\n        self.failure(\"INSUFFICIENT_FUNDS\", [debit()], [\"--account\", \"other\"])\n        pretty = self.run_cli(events, [\"--pretty\"]).stdout\n        self.assertGreater(len(pretty.splitlines()), 1)\n        self.assertEqual(json.loads(pretty), self.success(events))\n\n    def test_arguments_and_help(self):\n        for args in ([\"--wat\"], [\"--account\"], [\"--account\", \"\"], [\"--account\", \"a b\"],\n                     [\"--acc\", \"a\"], [\"--pretty=yes\"], [\"positional\"]):\n            self.failure(\"INVALID_ARGUMENT\", args=args, line=0)\n        result = self.run_cli(args=[\"--help\"], raw=\"invalid\")\n        self.assertEqual((result.returncode, result.stderr), (0, \"\"))\n        self.assertIn(\"--account\", result.stdout)\n        self.assertIn(\"--pretty\", result.stdout)\n\n    def test_limits_and_case_sensitive_ids(self):\n        result = self.success([credit(id=\"x\"*32, account=\"_-09\", amount=10**12), credit(id=\"C\", amount=1), credit(id=\"c\", amount=1)])\n        self.assertEqual(result[\"processed\"], 3)\n        self.assertEqual(result[\"totals\"][\"USD\"], 10**12+2)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n","9492372da8356c748a506b38a0410e70bbe0c9c748405b470389035d8ab154a4":"# Log statistics CLI\npython3 -m logstats reads JSONL on stdin. Blank lines are ignored, but physical line numbers include them. Each record has exactly service, level, duration_ms. service must be an ASCII identifier [A-Za-z0-9_-]{1,32}; level is info, warn or error; duration_ms is an integer 0..1000000000 excluding booleans and floats.\nOutput {\"services\":[rows],\"count\":N}. Rows are sorted by service and have service, count, errors (level error only), duration_sum_ms, duration_max_ms. Empty input gives an empty list and count 0. Optional --service ID returns only that service's row and count; absent services yield empty output. No other arguments, options, or abbreviations are allowed.\nMalformed JSON produces exit 2 and stderr JSON {\"error\":{\"code\":\"INVALID_JSON\",\"line\":N}}. Invalid records use INVALID_RECORD; invalid CLI arguments use INVALID_ARGUMENT and line 0. On any error stdout must remain empty; use the first invalid input line. NaN and Infinity are invalid JSON. Success exits 0 and emits one JSON value.\nRefactor the existing working implementation: put record validation and aggregation in logstats/domain.py, and retain CLI parsing, JSON decoding and input/output in logstats/cli.py. Keep observable behavior unchanged, avoid duplicate implementations. You may choose the internal domain API.\n","a3a6665228150c8cc04ce36e35e6667a806d325db2f8ba52941c7cddc0fe6e8a":"Complete the refactoring requested in README.md while preserving behavior, and verify the result. Keep README.md and TASK.txt unchanged. Use Python standard library only. Work only within this project, without external services or other projects. You may add your own tests and documentation. Finish with a concise report when the requested work is complete.\n","e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855":"","79ee6f134c5c5193377cf9b189cbdcc3e2095e49ba9cec310114441c15a917c4":"from .cli import main\nraise SystemExit(main())\n","235f99f97812f6237ee088024269bcc84c95a32e703d99aa2eb28e24b246308a":"import json\nimport sys\n\nfrom .domain import LogError, aggregate, identifier\n\n\ndef reject_constant(value):\n    raise ValueError()\n\n\ndef decode_records(lines):\n    \"\"\"Yield decoded records with their physical input line numbers.\"\"\"\n    for line, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            record = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LogError('INVALID_JSON', line) from None\n        yield line, record\n\n\ndef main():\n    try:\n        args = sys.argv[1:]\n        if not args:\n            selected = None\n        elif len(args) == 2 and args[0] == '--service' and identifier(args[1]):\n            selected = args[1]\n        else:\n            raise LogError('INVALID_ARGUMENT')\n        result = aggregate(decode_records(sys.stdin), selected)\n    except LogError as error:\n        print(json.dumps({'error': {'code': error.code, 'line': error.line}}),\n              file=sys.stderr)\n        return 2\n    print(json.dumps(result))\n    return 0\n","a217d11663c675af5270733d833ac12eb2289516c4fed8fab964acb12fa4111e":"\"\"\"Record validation and aggregation, independent of JSON and stream I/O.\"\"\"\n\nimport re\n\n\nclass LogError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n\n\ndef identifier(value):\n    return (isinstance(value, str)\n            and re.fullmatch(r'[A-Za-z0-9_-]{1,32}', value) is not None)\n\n\ndef validate(record, line):\n    if not isinstance(record, dict) or set(record) != {'service', 'level', 'duration_ms'}:\n        raise LogError('INVALID_RECORD', line)\n    if (not identifier(record['service'])\n            or record['level'] not in ['info', 'warn', 'error']\n            or type(record['duration_ms']) is not int\n            or not 0 <= record['duration_ms'] <= 1000000000):\n        raise LogError('INVALID_RECORD', line)\n\n\ndef aggregate(records, selected=None):\n    \"\"\"Consume (line number, record) pairs, validating even unselected services.\"\"\"\n    groups = {}\n    for line, record in records:\n        validate(record, line)\n        name = record['service']\n        duration = record['duration_ms']\n        row = groups.setdefault(name, dict(\n            service=name, count=0, errors=0, duration_sum_ms=0, duration_max_ms=0))\n        row['count'] += 1\n        row['errors'] += int(record['level'] == 'error')\n        row['duration_sum_ms'] += duration\n        row['duration_max_ms'] = max(row['duration_max_ms'], duration)\n    rows = [groups[name] for name in sorted(groups)\n            if selected is None or selected == name]\n    return {'services': rows, 'count': sum(row['count'] for row in rows)}\n","f20631cf9ac17fbb5af6e7a9ac989c8fb08c951ee06d51812236cb87962b7fa2":"import contextlib\nimport io\nimport json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\nfrom unittest.mock import patch\n\nfrom logstats import cli, domain\n\n\ndef record(service='api', level='info', duration_ms=1):\n    return dict(service=service, level=level, duration_ms=duration_ms)\n\n\ndef run_cli(raw='', args=()):\n    stdout, stderr = io.StringIO(), io.StringIO()\n    with patch.object(sys, 'argv', ['logstats', *args]), \\\n            patch.object(sys, 'stdin', io.StringIO(raw)), \\\n            contextlib.redirect_stdout(stdout), contextlib.redirect_stderr(stderr):\n        code = cli.main()\n    return code, stdout.getvalue(), stderr.getvalue()\n\n\nclass LogstatsTests(unittest.TestCase):\n    def assert_error(self, raw, code, line, args=()):\n        self.assertEqual(run_cli(raw, args), (\n            2, '', json.dumps({'error': {'code': code, 'line': line}}) + '\\n'))\n\n    def test_aggregation_and_filter(self):\n        records = [record('z', 'warn', 0), record('a', 'error', 1000000000),\n                   record('a', 'info', 7), record('a', 'warn', 3)]\n        raw = '\\n'.join(map(json.dumps, records))\n        rows = [dict(service='a', count=3, errors=1, duration_sum_ms=1000000010,\n                     duration_max_ms=1000000000),\n                dict(service='z', count=1, errors=0, duration_sum_ms=0, duration_max_ms=0)]\n        for args, expected in [((), rows), (('--service', 'a'), rows[:1]),\n                               (('--service', 'missing'), [])]:\n            with self.subTest(args=args):\n                code, out, err = run_cli(raw, args)\n                self.assertEqual((code, err), (0, ''))\n                self.assertEqual(json.loads(out), dict(services=expected,\n                                 count=sum(row['count'] for row in expected)))\n\n    def test_empty_and_blank_input(self):\n        for raw in ['', '\\n \\t\\r\\n']:\n            self.assertEqual(run_cli(raw), (0, '{\"services\": [], \"count\": 0}\\n', ''))\n\n    def test_invalid_records(self):\n        invalid = [None, [], True, 1, 'text', {}, {**record(), 'extra': 0}]\n        for key in record():\n            missing = record()\n            del missing[key]\n            invalid.append(missing)\n        for field, values in [\n            ('service', ['', 'a' * 33, 'é', 'a b', 'a\\n', None, 1, []]),\n            ('level', ['INFO', '', None, 1, [], {}]),\n            ('duration_ms', [-1, 1000000001, True, False, 1.0, None, '1', [], {}]),\n        ]:\n            invalid.extend({**record(), field: value} for value in values)\n        for value in invalid:\n            with self.subTest(value=value):\n                self.assert_error('\\n' + json.dumps(value), 'INVALID_RECORD', 2)\n\n    def test_identifiers(self):\n        for name in ['a', 'A0_-', 'a' * 32]:\n            self.assertEqual(run_cli(json.dumps(record(name)), ('--service', name))[0], 0)\n\n    def test_invalid_json(self):\n        for raw in ['{', '{} {}', 'NaN', 'Infinity', '-Infinity',\n                    '{\"service\":\"a\",\"level\":\"info\",\"duration_ms\":NaN}']:\n            with self.subTest(raw=raw[:80]):\n                self.assert_error('\\n \\n' + raw, 'INVALID_JSON', 3)\n\n    def test_decoder_recursion_error(self):\n        with patch.object(cli.json, 'loads', side_effect=RecursionError):\n            self.assert_error('\\n{}', 'INVALID_JSON', 2)\n\n    def test_first_error_and_no_partial_output(self):\n        good = json.dumps(record())\n        self.assert_error(good + '\\n\\n{}\\n{', 'INVALID_RECORD', 3)\n        self.assert_error(good + '\\n\\n{\\n{}', 'INVALID_JSON', 3)\n        self.assert_error(good + '\\n{}', 'INVALID_RECORD', 2, ('--service', 'missing'))\n\n    def test_invalid_arguments_take_precedence(self):\n        for args in [('--help',), ('--serv', 'api'), ('--service=api',),\n                     ('--service',), ('--service', ''), ('--service', 'é'),\n                     ('--service', 'a' * 33), ('api',), ('--',),\n                     ('--service', 'api', 'extra'), ('--service', 'a', '--service', 'b')]:\n            with self.subTest(args=args):\n                self.assert_error('{', 'INVALID_ARGUMENT', 0, args)\n\n    def test_domain_accepts_decoded_records(self):\n        result = domain.aggregate(iter([(5, record('api', 'error', 9))]))\n        self.assertEqual(result['count'], 1)\n        self.assertEqual(result['services'][0]['errors'], 1)\n        with self.assertRaises(domain.LogError) as error:\n            domain.aggregate([(7, {})])\n        self.assertEqual((error.exception.code, error.exception.line), ('INVALID_RECORD', 7))\n\n    def test_module_entrypoint(self):\n        for raw, expected in [('', (0, '{\"services\": [], \"count\": 0}\\n', '')),\n                              ('{', (2, '', '{\"error\": {\"code\": \"INVALID_JSON\", \"line\": 1}}\\n'))]:\n            process = subprocess.run([sys.executable, '-m', 'logstats'], input=raw,\n                                     capture_output=True, text=True,\n                                     cwd=Path(__file__).resolve().parents[1])\n            self.assertEqual((process.returncode, process.stdout, process.stderr), expected)\n\n\nif __name__ == '__main__':\n    unittest.main()\n","a913841837ebc4163eaad7ef3cce5dd91bfdc4a360974d0f90e46b626852ba01":"\"\"\"Command-line parsing, JSON decoding, and input/output.\"\"\"\n\nimport json\nimport sys\n\nfrom . import domain\nfrom .domain import LogError, identifier\n\n\ndef reject_constant(value):\n    raise ValueError()\n\n\ndef decode_records(lines):\n    \"\"\"Decode lazily so validation reports the first invalid input line.\"\"\"\n    for line, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            record = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LogError(\"INVALID_JSON\", line) from None\n        yield line, record\n\n\ndef aggregate(lines, selected):\n    return domain.aggregate(decode_records(lines), selected)\n\n\ndef main():\n    try:\n        args = sys.argv[1:]\n        if not args:\n            selected = None\n        elif len(args) == 2 and args[0] == \"--service\" and identifier(args[1]):\n            selected = args[1]\n        else:\n            raise LogError(\"INVALID_ARGUMENT\")\n        result = aggregate(sys.stdin, selected)\n    except LogError as error:\n        print(json.dumps({\"error\": {\"code\": error.code, \"line\": error.line}}),\n              file=sys.stderr)\n        return 2\n    print(json.dumps(result))\n    return 0\n","d1130b1c67da31a31644d46c838824176b79c347b4b331c9a7fe7e7cc28aec6e":"\"\"\"Validation and statistics for decoded log records.\"\"\"\n\nimport re\n\n\nclass LogError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n\n\ndef identifier(value):\n    return (\n        isinstance(value, str)\n        and re.fullmatch(r\"[A-Za-z0-9_-]{1,32}\", value) is not None\n    )\n\n\ndef validate(record, line):\n    if not isinstance(record, dict) or set(record) != {\n        \"service\", \"level\", \"duration_ms\"\n    }:\n        raise LogError(\"INVALID_RECORD\", line)\n    if (\n        not identifier(record[\"service\"])\n        or record[\"level\"] not in [\"info\", \"warn\", \"error\"]\n        or type(record[\"duration_ms\"]) is not int\n        or not 0 <= record[\"duration_ms\"] <= 1000000000\n    ):\n        raise LogError(\"INVALID_RECORD\", line)\n\n\ndef aggregate(records, selected=None):\n    \"\"\"Consume (physical line number, decoded record) pairs and return totals.\n\n    Validate every record before filtering the returned service rows.\n    \"\"\"\n    groups = {}\n    for line, record in records:\n        validate(record, line)\n        name = record[\"service\"]\n        duration = record[\"duration_ms\"]\n        row = groups.setdefault(name, dict(\n            service=name, count=0, errors=0,\n            duration_sum_ms=0, duration_max_ms=0,\n        ))\n        row[\"count\"] += 1\n        row[\"errors\"] += int(record[\"level\"] == \"error\")\n        row[\"duration_sum_ms\"] += duration\n        row[\"duration_max_ms\"] = max(row[\"duration_max_ms\"], duration)\n    rows = [groups[name] for name in sorted(groups)\n            if selected is None or selected == name]\n    return {\"services\": rows, \"count\": sum(row[\"count\"] for row in rows)}\n","5e7167d3debaa53ca731f234bf566a0aa11705dc0fce712a270bbe2553fb7f41":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\nfrom unittest.mock import patch\n\nfrom logstats import cli, domain\n\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef record(service=\"api\", level=\"info\", duration_ms=1):\n    return dict(service=service, level=level, duration_ms=duration_ms)\n\n\ndef jsonl(*records):\n    return \"\".join(json.dumps(item) + \"\\n\" for item in records)\n\n\nclass CliTests(unittest.TestCase):\n    def run_cli(self, data=\"\", args=()):\n        return subprocess.run(\n            [sys.executable, \"-m\", \"logstats\", *args], input=data,\n            text=True, capture_output=True, cwd=ROOT,\n        )\n\n    def assert_success(self, data, expected, args=()):\n        result = self.run_cli(data, args)\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, \"\")\n        self.assertEqual(json.loads(result.stdout), expected)\n        self.assertEqual(len(result.stdout.splitlines()), 1)\n\n    def assert_error(self, data, code, line, args=()):\n        result = self.run_cli(data, args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, \"\")\n        self.assertEqual(json.loads(result.stderr),\n                         {\"error\": {\"code\": code, \"line\": line}})\n\n    def test_empty_and_absent(self):\n        for data, args in [(\"\", ()), (\"\\n \\t\\n\", ()),\n                           (jsonl(record()), (\"--service\", \"absent\"))]:\n            with self.subTest(data=data, args=args):\n                self.assert_success(data, {\"services\": [], \"count\": 0}, args)\n\n    def test_totals_sorting_and_selection(self):\n        data = \"\\n\" + jsonl(record(\"z\", \"error\", 0),\n                            record(\"A\", \"warn\", 1000000000),\n                            record(\"A\", \"error\", 1000000000),\n                            record(\"A\", \"info\", 2))\n        rows = [dict(service=\"A\", count=3, errors=1,\n                     duration_sum_ms=2000000002, duration_max_ms=1000000000),\n                dict(service=\"z\", count=1, errors=1,\n                     duration_sum_ms=0, duration_max_ms=0)]\n        self.assert_success(data, {\"services\": rows, \"count\": 4})\n        self.assert_success(data, {\"services\": rows[:1], \"count\": 3},\n                            (\"--service\", \"A\"))\n\n    def test_invalid_records(self):\n        invalid = [None, [], 2, \"text\", True, {},\n                   {\"service\": \"a\", \"level\": \"info\"},\n                   dict(record(), extra=1)]\n        for value in [\"\", \"a\" * 33, \"é\", \"a b\", \"a\\n\", 1, None, []]:\n            invalid.append(record(service=value))\n        for value in [\"INFO\", \"debug\", None, [], {}, 1]:\n            invalid.append(record(level=value))\n        for value in [-1, 1000000001, True, False, 1.0, \"1\", None, [], {}]:\n            invalid.append(record(duration_ms=value))\n        for item in invalid:\n            with self.subTest(item=item):\n                self.assert_error(\"\\n\" + jsonl(record(), item),\n                                  \"INVALID_RECORD\", 3)\n\n    def test_invalid_json(self):\n        for raw in [\"{\", \"{} {}\", \"NaN\", \"Infinity\", \"-Infinity\",\n                    '{\"service\":\"api\",\"level\":\"info\",\"duration_ms\":NaN}']:\n            with self.subTest(raw=raw[:80]):\n                self.assert_error(jsonl(record()) + \"\\n\" + raw,\n                                  \"INVALID_JSON\", 3)\n\n    def test_first_error_and_filter_validation(self):\n        self.assert_error(\"\\n{}\\n{\", \"INVALID_RECORD\", 2)\n        self.assert_error(\"\\n{\\n{}\", \"INVALID_JSON\", 2)\n        self.assert_error(jsonl(record(), record(\"other\", duration_ms=-1)),\n                          \"INVALID_RECORD\", 2, (\"--service\", \"api\"))\n        self.assert_error(jsonl(record()) + \"{\", \"INVALID_JSON\", 2,\n                          (\"--service\", \"absent\"))\n\n    def test_arguments(self):\n        for args in [(\"--help\",), (\"--service\",), (\"--serv\", \"api\"),\n                     (\"--service=api\",), (\"api\",), (\"--\",),\n                     (\"--service\", \"api\", \"extra\"),\n                     (\"--service\", \"api\", \"--service\", \"api\")]:\n            with self.subTest(args=args):\n                self.assert_error(\"{\", \"INVALID_ARGUMENT\", 0, args)\n        for name in [\"\", \"a\" * 33, \"é\", \"a b\", \"a\\n\"]:\n            with self.subTest(name=name):\n                self.assert_error(\"\", \"INVALID_ARGUMENT\", 0,\n                                  (\"--service\", name))\n        for name in [\"a\" * 32, \"A0_-\", \"--service\"]:\n            with self.subTest(name=name):\n                self.assert_success(jsonl(record(name)), {\n                    \"services\": [dict(service=name, count=1, errors=0,\n                                      duration_sum_ms=1, duration_max_ms=1)],\n                    \"count\": 1,\n                }, (\"--service\", name))\n\n    def test_json_decoder_semantics(self):\n        self.assert_success(\n            '{\"service\":\"old\",\"service\":\"api\",\"level\":\"info\",'\n            '\"duration_ms\":-0}',\n            {\"services\": [dict(service=\"api\", count=1, errors=0,\n                               duration_sum_ms=0, duration_max_ms=0)], \"count\": 1},\n        )\n        self.assert_error(jsonl(record(duration_ms=1e20)), \"INVALID_RECORD\", 1)\n\n\nclass DomainTests(unittest.TestCase):\n    def test_decoded_records(self):\n        self.assertEqual(domain.aggregate(iter([(4, record(\"a\", \"error\", 7))])),\n                         {\"services\": [dict(service=\"a\", count=1, errors=1,\n                                            duration_sum_ms=7, duration_max_ms=7)],\n                          \"count\": 1})\n\n    def test_decoder_recursion_error(self):\n        with patch.object(cli.json, \"loads\", side_effect=RecursionError):\n            with self.assertRaises(domain.LogError) as caught:\n                list(cli.decode_records([\"\\n\", \"{}\\n\"]))\n        self.assertEqual((caught.exception.code, caught.exception.line),\n                         (\"INVALID_JSON\", 2))\n\n    def test_validation_stops_iteration(self):\n        def records():\n            yield 5, {}\n            self.fail(\"Consumed input after an invalid record\")\n        with self.assertRaises(domain.LogError) as caught:\n            domain.aggregate(records(), \"absent\")\n        self.assertEqual((caught.exception.code, caught.exception.line),\n                         (\"INVALID_RECORD\", 5))\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n","e177969fb47a3fbf07fae77e69dfb68b821bbf4dbfac37f708fa285cffb21985":"import copy\nimport json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\n\nCLI = Path(__file__).with_name('quote.py')\n\n\ndef order(price=100, quantity=1, rate=0):\n    return {'items': [{'sku': 'A-1_', 'quantity': quantity,\n                       'unit_cents': price}], 'tax_bps': rate}\n\n\nclass QuoteCLITests(unittest.TestCase):\n    def run_cli(self, payload, *args):\n        return subprocess.run([sys.executable, str(CLI), *args],\n                              input=payload, text=True, capture_output=True)\n\n    def assert_invalid(self, payload, *args):\n        result = self.run_cli(payload, *args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(result.stderr, '{\"error\": \"INVALID_ORDER\"}\\n')\n\n    def assert_quote(self, value, subtotal, discount, tax, shipping):\n        result = self.run_cli(json.dumps(value))\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, '')\n        self.assertEqual(json.loads(result.stdout), {\n            'subtotal_cents': subtotal, 'discount_cents': discount,\n            'tax_cents': tax, 'shipping_cents': shipping,\n            'total_cents': subtotal - discount + tax + shipping})\n\n    def test_discount_threshold_and_rounding(self):\n        for subtotal, discount in [(9999, 0), (10000, 1000), (10001, 1000),\n                                   (10004, 1000), (10005, 1001), (10006, 1001)]:\n            with self.subTest(subtotal=subtotal):\n                self.assert_quote(order(subtotal), subtotal, discount, 0, 500)\n\n    def test_tax_rounding_and_discounted_base(self):\n        for rate, tax in [(4999, 0), (5000, 1), (5001, 1), (10000, 1)]:\n            with self.subTest(rate=rate):\n                self.assert_quote(order(1, rate=rate), 1, 0, tax, 500)\n        self.assert_quote(order(10005, rate=1250), 10005, 1001, 1126, 500)\n\n    def test_shipping_uses_discounted_subtotal_before_tax(self):\n        self.assert_quote(order(16666, rate=10000), 16666, 1667, 14999, 500)\n        self.assert_quote(order(16667), 16667, 1667, 0, 0)\n        self.assert_quote(order(16668), 16668, 1667, 0, 0)\n\n    def test_zero_maximum_and_duplicate_lines(self):\n        self.assert_quote(order(0), 0, 0, 0, 500)\n        value = order(1000000, 1000, 10000)\n        value['items'] *= 100\n        self.assert_quote(value, 100000000000, 10000000000, 90000000000, 0)\n        value = order(25, 2)\n        value['items'].append({'sku': 'A-1_', 'quantity': 3, 'unit_cents': 10})\n        self.assert_quote(value, 80, 0, 0, 500)\n\n    def test_invalid_numeric_values(self):\n        for field, bad_values in {\n            'quantity': [True, False, 1.0, 0, -1, 1001, '1', None],\n            'unit_cents': [True, False, 1.0, -1, 1000001, '0', None],\n            'tax_bps': [True, False, 1.0, -1, 10001, '0', None],\n        }.items():\n            for bad in bad_values:\n                with self.subTest(field=field, value=bad):\n                    value = order()\n                    target = value if field == 'tax_bps' else value['items'][0]\n                    target[field] = bad\n                    self.assert_invalid(json.dumps(value))\n\n    def test_schema_and_sku(self):\n        invalid = [None, [], 1, {}, {'items': []}, {'tax_bps': 0}]\n        for items in [None, {}, [], [None], [1], [[]], [order()['items'][0]] * 101]:\n            invalid.append({'items': items, 'tax_bps': 0})\n        for location in ['root', 'item']:\n            base = order()\n            target = base if location == 'root' else base['items'][0]\n            for key in list(target):\n                value = copy.deepcopy(base)\n                del (value if location == 'root' else value['items'][0])[key]\n                invalid.append(value)\n            target['extra'] = 0\n            invalid.append(base)\n        for sku in ['', 'a' * 33, 'é', 'a b', 'a\\n', 'a.b', None, 123, True]:\n            value = order()\n            value['items'][0]['sku'] = sku\n            invalid.append(value)\n        for value in invalid:\n            with self.subTest(value=value):\n                self.assert_invalid(json.dumps(value))\n        value = order()\n        value['items'][0]['sku'] = 'a' * 32\n        self.assert_quote(value, 100, 0, 0, 500)\n\n    def test_malformed_json_and_arguments(self):\n        for payload in ['', '{', '{} {}', '{\"items\":}', '{\"items\": [],}']:\n            with self.subTest(payload=payload):\n                self.assert_invalid(payload)\n        for arg in ['--help', '--version', 'extra']:\n            with self.subTest(arg=arg):\n                self.assert_invalid(json.dumps(order()), arg)\n\n\nif __name__ == '__main__':\n    unittest.main()\n","70f94e8bd5c95cc3d70f8bfe9183fc9f0ae6c387aa3a935af531fc71fe45df71":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\n\nCLI = Path(__file__).with_name('quote.py')\n\n\ndef order(price=100, quantity=1, rate=0):\n    return {'items': [{'sku': 'A_1-b', 'quantity': quantity,\n                       'unit_cents': price}], 'tax_bps': rate}\n\n\nclass QuoteCLITests(unittest.TestCase):\n    def run_cli(self, payload, *args):\n        return subprocess.run([sys.executable, str(CLI), *args],\n                              input=payload, capture_output=True, text=True)\n\n    def assert_invalid(self, payload, *args):\n        result = self.run_cli(payload, *args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(json.loads(result.stderr), {'error': 'INVALID_ORDER'})\n        self.assertEqual(len(result.stderr.splitlines()), 1)\n\n    def test_totals_and_rounding_boundaries(self):\n        # price, quantity, rate, subtotal, discount, tax, shipping, total\n        cases = [\n            (0, 1, 10000, 0, 0, 0, 500, 500),\n            (9999, 1, 0, 9999, 0, 0, 500, 10499),\n            (10000, 1, 0, 10000, 1000, 0, 500, 9500),\n            (10004, 1, 0, 10004, 1000, 0, 500, 9504),\n            (10005, 1, 0, 10005, 1001, 0, 500, 9504),\n            (1, 1, 4999, 1, 0, 0, 500, 501),\n            (1, 1, 5000, 1, 0, 1, 500, 502),\n            (1, 1, 5001, 1, 0, 1, 500, 502),\n            (10000, 1, 5, 10000, 1000, 5, 500, 9505),\n            (16666, 1, 10000, 16666, 1667, 14999, 500, 30498),\n            (16667, 1, 0, 16667, 1667, 0, 0, 15000),\n            (16668, 1, 0, 16668, 1667, 0, 0, 15001),\n            (1000000, 1000, 10000, 1000000000, 100000000,\n             900000000, 0, 1800000000),\n        ]\n        keys = ('subtotal_cents', 'discount_cents', 'tax_cents',\n                'shipping_cents', 'total_cents')\n        for price, quantity, rate, *expected in cases:\n            with self.subTest(price=price, quantity=quantity, rate=rate):\n                result = self.run_cli(json.dumps(order(price, quantity, rate)))\n                self.assertEqual(result.returncode, 0, result.stderr)\n                self.assertEqual(result.stderr, '')\n                actual = json.loads(result.stdout)\n                self.assertEqual(actual, dict(zip(keys, expected)))\n                self.assertTrue(all(type(value) is int for value in actual.values()))\n                self.assertEqual(len(result.stdout.splitlines()), 1)\n\n    def test_duplicate_skus_and_maximum_item_count(self):\n        value = order(1000000, 1000, 10000)\n        value['items'][0]['sku'] = 'a' * 32\n        value['items'] *= 100\n        result = self.run_cli(json.dumps(value))\n        self.assertEqual(result.returncode, 0, result.stderr)\n        self.assertEqual(result.stderr, '')\n        self.assertEqual(json.loads(result.stdout), {\n            'subtotal_cents': 100000000000, 'discount_cents': 10000000000,\n            'tax_cents': 90000000000, 'shipping_cents': 0,\n            'total_cents': 180000000000})\n\n    def test_invalid_numeric_values(self):\n        for field, maximum in [('quantity', 1000), ('unit_cents', 1000000),\n                               ('tax_bps', 10000)]:\n            invalid = [True, False, 1.0, '1', None, [], {}, -1, maximum + 1]\n            if field == 'quantity':\n                invalid.append(0)\n            for value in invalid:\n                with self.subTest(field=field, value=value):\n                    payload = order()\n                    target = payload if field == 'tax_bps' else payload['items'][0]\n                    target[field] = value\n                    self.assert_invalid(json.dumps(payload))\n\n    def test_invalid_schema_and_skus(self):\n        invalid = [None, [], True, 1, 'order', {}, {'items': []}]\n        for field in order():\n            payload = order()\n            del payload[field]\n            invalid.append(payload)\n        payload = order()\n        payload['extra'] = 1\n        invalid.append(payload)\n        for items in [None, {}, 'items', [], [order()['items'][0]] * 101,\n                      [None], [1], [[]]]:\n            payload = order()\n            payload['items'] = items\n            invalid.append(payload)\n        for field in order()['items'][0]:\n            payload = order()\n            del payload['items'][0][field]\n            invalid.append(payload)\n        payload = order()\n        payload['items'][0]['extra'] = 1\n        invalid.append(payload)\n        for sku in ['', 'a' * 33, 'é', 'a b', 'a\\n', 'a.b', 1, None, True]:\n            payload = order()\n            payload['items'][0]['sku'] = sku\n            invalid.append(payload)\n        for payload in invalid:\n            with self.subTest(payload=payload):\n                self.assert_invalid(json.dumps(payload))\n\n    def test_malformed_json_and_arguments(self):\n        for payload in ['', '{', '{} {}', '{\"items\":}', 'null trailing']:\n            with self.subTest(payload=payload):\n                self.assert_invalid(payload)\n        for args in [('--help',), ('--version',), ('extra',), ('--',)]:\n            with self.subTest(args=args):\n                self.assert_invalid(json.dumps(order()), *args)\n\n\nif __name__ == '__main__':\n    unittest.main()\n","2330c531bb052743cd0cee4d536e822d829a8b8484cb4aa594bf2815860af22a":"# Ticket snapshot analysis\nImplement python3 analyze.py INPUT_DIR OUTPUT_DIR using the standard library. Read every *.jsonl file in INPUT_DIR; each nonblank line is a ticket snapshot with id, updated_at (integer revision), team, status, priority, resolution_hours. Input JSON is well formed. Multiple snapshots may share an ID; retain the largest updated_at per ID. Equal revisions are exact duplicate objects; tie selection must not affect the result. Count raw_rows and unique_tickets, and discarded_rows=raw_rows-unique_tickets. Normalize team by stripping whitespace and lowercasing. Status is open, pending, or closed; priority is low, medium, or high.\nWrite OUTPUT_DIR/summary.json with raw_rows, unique_tickets, discarded_rows, and teams sorted alphabetically. Each team row contains team, total, unresolved (status not closed), high_priority_unresolved, closed, missing_closed_duration, median_resolution_hours, p90_resolution_hours, and sla_breaches. Include only closed records with a non-null duration in duration statistics; durations are nonnegative numbers. missing_closed_duration counts closed records with null duration. Median is the middle value or arithmetic mean of two middle values. P90 uses nearest rank, ceil(0.9*n), with 1-based rank. Empty duration groups have null median and p90. sla_breaches counts valid closed durations strictly greater than 24. Create OUTPUT_DIR if needed. Do not modify input data.\nWrite OUTPUT_DIR/report.md summarizing deduplication, per-team unresolved and high-priority workload, duration statistics and missing-data handling, with correct numbers. Run the tool on the supplied data/ and write those deliverables under output/. The script must also work on other exports with this schema. An empty input directory yields all counts zero and an empty teams array.\n","0e9c970cef1f3a3cf1222338028bdaebc1aea53d0ab06fe3c572767c0a42b6fe":"Implement the reusable ticket analysis requested in README.md, run it on the supplied data into output/, and verify the results. Keep README.md and TASK.txt unchanged. Use Python standard library only. Work only within this project, without external services or other projects. You may add your own tests and documentation. Finish with a concise report when the requested work is complete.\n","7c866400411f1d0fa0397d0fc378078caba12e47f82d0c015636c02a7c45a9ed":"\"\"\"Analyze latest ticket snapshots using only the Python standard library.\"\"\"\n\nimport argparse\nimport json\nfrom pathlib import Path\nfrom statistics import median\n\n\ndef analyze(input_dir):\n    \"\"\"Return summary data for the JSONL files directly inside input_dir.\"\"\"\n    input_dir = Path(input_dir)\n    if not input_dir.is_dir():\n        raise NotADirectoryError(input_dir)\n    latest = {}\n    raw_rows = 0\n    for path in sorted(input_dir.glob('*.jsonl')):\n        if not path.is_file():\n            continue\n        with path.open(encoding='utf-8') as source:\n            for line in source:\n                if not line.strip():\n                    continue\n                ticket = json.loads(line)\n                raw_rows += 1\n                previous = latest.get(ticket['id'])\n                if previous is None or ticket['updated_at'] > previous['updated_at']:\n                    latest[ticket['id']] = ticket\n\n    groups = {}\n    for ticket in latest.values():\n        team = ticket['team'].strip().lower()\n        groups.setdefault(team, []).append(ticket)\n\n    teams = []\n    for team, tickets in sorted(groups.items()):\n        closed = [t for t in tickets if t['status'] == 'closed']\n        unresolved = [t for t in tickets if t['status'] != 'closed']\n        durations = sorted(t['resolution_hours'] for t in closed\n                           if t['resolution_hours'] is not None)\n        teams.append({\n            'team': team,\n            'total': len(tickets),\n            'unresolved': len(unresolved),\n            'high_priority_unresolved': sum(t['priority'] == 'high' for t in unresolved),\n            'closed': len(closed),\n            'missing_closed_duration': len(closed) - len(durations),\n            'median_resolution_hours': median(durations) if durations else None,\n            # Integer arithmetic computes ceil(0.9*n) exactly.\n            'p90_resolution_hours': durations[(9 * len(durations) + 9) // 10 - 1]\n            if durations else None,\n            'sla_breaches': sum(d > 24 for d in durations),\n        })\n    return {'raw_rows': raw_rows, 'unique_tickets': len(latest),\n            'discarded_rows': raw_rows - len(latest), 'teams': teams}\n\n\ndef render_report(summary):\n    \"\"\"Render a Markdown report from a summary.\"\"\"\n    lines = [\n        '# Ticket snapshot analysis', '',\n        f\"Read {summary['raw_rows']:,} snapshots; retained {summary['unique_tickets']:,} \"\n        f\"unique tickets and discarded {summary['discarded_rows']:,} rows.\",\n        'Each ticket uses its largest updated_at revision. Equal revisions are '\n        'duplicates. Team names are stripped and lowercased.', '',\n        '| Team | Total | Unresolved | High-priority unresolved | Closed | Missing closed duration | Median hours | P90 hours | SLA breaches |',\n        '| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |',\n    ]\n    for row in summary['teams']:\n        team = row['team'].replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')\n        team = team.replace('|', '&#124;').replace('\\r', '&#13;').replace('\\n', '&#10;')\n        values = [team] + [str(row[key]) if row[key] is not None else 'N/A' for key in (\n            'total', 'unresolved', 'high_priority_unresolved', 'closed',\n            'missing_closed_duration', 'median_resolution_hours',\n            'p90_resolution_hours', 'sla_breaches')]\n        lines.append('| ' + ' | '.join(values) + ' |')\n    lines.extend(['',\n        'Unresolved includes open and pending tickets. High-priority workload counts '\n        'only unresolved tickets with high priority.', '',\n        'Duration statistics include only closed tickets with non-null durations, '\n        'including zero. Closed tickets with null durations are counted as missing '\n        'and excluded from duration statistics and SLA breaches. '\n        'Durations on unresolved tickets are excluded.', '',\n        'Median is the middle duration, or the mean of the two middle durations. '\n        'P90 uses nearest rank ceil(0.9 × n), with ranks starting at 1. '\n        'N/A (null in JSON) means no valid closed durations. '\n        'SLA breaches count closed durations strictly greater than 24 hours.', ''])\n    return '\\n'.join(lines)\n\n\ndef main():\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument('input_dir', type=Path)\n    parser.add_argument('output_dir', type=Path)\n    args = parser.parse_args()\n    summary = analyze(args.input_dir)\n    args.output_dir.mkdir(parents=True, exist_ok=True)\n    (args.output_dir / 'summary.json').write_text(\n        json.dumps(summary, indent=2, ensure_ascii=False) + '\\n', encoding='utf-8')\n    (args.output_dir / 'report.md').write_text(render_report(summary), encoding='utf-8')\n\n\nif __name__ == '__main__':\n    main()\n","4b795b9a80bf30b3e684a086f9857448c789f37e1976005665696980a3ea1d65":"{\"id\": \"T00796\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00947\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01056\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00855\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01172\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 23}\n{\"id\": \"T00329\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00842\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01755\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 29.0}\n{\"id\": \"T01369\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 48.0}\n{\"id\": \"T00999\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00815\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 94.5}\n{\"id\": \"T00835\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01728\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01431\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01175\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01478\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00167\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 4.5}\n{\"id\": \"T00766\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00648\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01081\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01424\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01689\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01728\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00248\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 1}\n{\"id\": \"T01252\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 83.0}\n{\"id\": \"T00880\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01384\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01143\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00286\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00196\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01257\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01791\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01079\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00882\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00136\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00784\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 8}\n{\"id\": \"T00711\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 23.5}\n{\"id\": \"T00332\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 74.0}\n{\"id\": \"T00582\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01416\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 82}\n{\"id\": \"T00207\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01220\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01488\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00182\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01015\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01290\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01087\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 8.0}\n{\"id\": \"T00110\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 84.5}\n{\"id\": \"T00963\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 5.5}\n{\"id\": \"T00479\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00873\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 64.5}\n{\"id\": \"T01233\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00824\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00552\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 66}\n{\"id\": \"T00882\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01784\", \"updated_at\": 2, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 63}\n{\"id\": \"T00576\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 65.0}\n{\"id\": \"T00712\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 76}\n{\"id\": \"T00468\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 80}\n{\"id\": \"T01212\", \"updated_at\": 2, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 43}\n{\"id\": \"T01240\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 13}\n{\"id\": \"T01418\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00378\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00102\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 31.5}\n{\"id\": \"T01300\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01694\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01611\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01064\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00624\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 77}\n{\"id\": \"T00964\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 76.5}\n{\"id\": \"T00874\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00860\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 92}\n{\"id\": \"T01491\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01688\", \"updated_at\": 2, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 47}\n{\"id\": \"T00283\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00952\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01762\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 23.5}\n{\"id\": \"T01331\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 24.5}\n{\"id\": \"T00547\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00552\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01026\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 6.0}\n{\"id\": \"T00662\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00387\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01268\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 55.0}\n{\"id\": \"T01620\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 99}\n{\"id\": \"T00253\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00967\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00812\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 26}\n{\"id\": \"T01668\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00196\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 52}\n{\"id\": \"T01551\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01163\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00992\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00792\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01192\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00242\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00744\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 63}\n{\"id\": \"T01249\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01674\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01120\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 45}\n{\"id\": \"T01340\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 53}\n{\"id\": \"T00891\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 74.5}\n{\"id\": \"T00921\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 2.0}\n{\"id\": \"T00995\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00151\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00433\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00421\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 17.0}\n{\"id\": \"T00076\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00520\", \"updated_at\": 2, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 35}\n{\"id\": \"T00903\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01542\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 4.0}\n{\"id\": \"T00222\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01064\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 68}\n{\"id\": \"T00477\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01250\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00688\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 22}\n{\"id\": \"T01203\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00268\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 25}\n{\"id\": \"T01199\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01111\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 22.5}\n{\"id\": \"T01120\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00379\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00368\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 44.0}\n{\"id\": \"T01359\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 73.0}\n{\"id\": \"T01436\", \"updated_at\": 2, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 31}\n{\"id\": \"T00810\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 15.5}\n{\"id\": \"T00665\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01529\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00460\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 54}\n{\"id\": \"T00655\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01647\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", 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\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00490\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01275\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00728\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 63}\n{\"id\": \"T00706\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00548\", \"updated_at\": 2, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 19}\n{\"id\": \"T00394\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01623\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 11.5}\n{\"id\": \"T01517\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 45.5}\n{\"id\": \"T00798\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01635\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01348\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00804\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 96.0}\n{\"id\": \"T00108\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01296\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 27.5}\n{\"id\": \"T00982\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00440\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 74.5}\n{\"id\": \"T00423\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01426\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 31.0}\n{\"id\": \"T01093\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 53.5}\n{\"id\": \"T00074\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 82.5}\n{\"id\": \"T01530\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01764\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01568\", \"updated_at\": 2, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 8}\n{\"id\": \"T00486\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00356\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00347\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 69.0}\n{\"id\": \"T01308\", \"updated_at\": 2, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 34}\n{\"id\": \"T01556\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 92.0}\n{\"id\": \"T00832\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 3}\n{\"id\": \"T01651\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00124\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00355\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00070\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00607\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 92.0}\n{\"id\": \"T00006\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00073\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00530\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 54.5}\n{\"id\": \"T01617\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01416\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00504\", \"updated_at\": 2, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 52}\n{\"id\": \"T00556\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01320\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01336\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T01017\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00243\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 38.0}\n{\"id\": \"T01476\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 69.0}\n{\"id\": \"T00206\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00453\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01218\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00045\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01544\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01388\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": 58.0}\n{\"id\": \"T00827\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01755\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 29.0}\n{\"id\": \"T00460\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01695\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00927\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 12.5}\n{\"id\": \"T00537\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00955\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01393\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"closed\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01641\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00344\", \"updated_at\": 2, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 20}\n{\"id\": \"T00059\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01083\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00481\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00072\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 89.0}\n{\"id\": \"T01376\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 60}\n{\"id\": \"T00888\", \"updated_at\": 2, \"team\": \"PLATFORM\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 95}\n{\"id\": \"T01670\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01271\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"open\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00603\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00140\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01133\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01295\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00919\", \"updated_at\": 1, \"team\": \"PLATFORM\", \"status\": \"open\", \"priority\": \"medium\", \"resolution_hours\": null}\n{\"id\": \"T00788\", \"updated_at\": 2, \"team\": \" Ops \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 100}\n{\"id\": \"T00120\", \"updated_at\": 2, \"team\": \"Support\", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 45}\n{\"id\": \"T01485\", \"updated_at\": 1, \"team\": \"Support\", \"status\": \"open\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T00026\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 60.0}\n{\"id\": \"T00946\", \"updated_at\": 1, \"team\": \"Trust\", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T00413\", \"updated_at\": 1, \"team\": \"Sales\", \"status\": \"pending\", \"priority\": \"high\", \"resolution_hours\": null}\n{\"id\": \"T01797\", \"updated_at\": 1, \"team\": \" Ops \", \"status\": \"pending\", \"priority\": \"low\", \"resolution_hours\": null}\n{\"id\": \"T01741\", \"updated_at\": 1, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"low\", \"resolution_hours\": 83.0}\n{\"id\": \"T00828\", \"updated_at\": 2, \"team\": \" Billing \", \"status\": \"closed\", \"priority\": \"medium\", \"resolution_hours\": 41}\n","d6984f3ad96142d2d31ff25fda9c3104b9da81dc05a8906f9dccd87d7a58600a":"# Ticket snapshot analysis\n\nRead 2,450 snapshots; retained 1,800 unique tickets and discarded 650 rows.\nEach ticket uses its largest updated_at revision. Equal revisions are duplicates. Team names are stripped and lowercased.\n\n| Team | Total | Unresolved | High-priority unresolved | Closed | Missing closed duration | Median hours | P90 hours | SLA breaches |\n| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |\n| billing | 286 | 134 | 44 | 152 | 24 | 42.75 | 86 | 92 |\n| ops | 320 | 165 | 52 | 155 | 18 | 48 | 88.5 | 103 |\n| platform | 302 | 125 | 37 | 177 | 19 | 51.0 | 87.0 | 120 |\n| sales | 284 | 144 | 46 | 140 | 18 | 52.25 | 85.0 | 95 |\n| support | 324 | 168 | 56 | 156 | 16 | 45.0 | 83 | 105 |\n| trust | 284 | 153 | 42 | 131 | 19 | 43.0 | 91 | 74 |\n\nUnresolved includes open and pending tickets. High-priority workload counts only unresolved tickets with high priority.\n\nDuration statistics include only closed tickets with non-null durations, including zero. Closed tickets with null durations are counted as missing and excluded from duration statistics and SLA breaches. Durations on unresolved tickets are excluded.\n\nMedian is the middle duration, or the mean of the two middle durations. P90 uses nearest rank ceil(0.9 × n), with ranks starting at 1. N/A (null in JSON) means no valid closed durations. SLA breaches count closed durations strictly greater than 24 hours.\n","d9fde5dcad05fab02822b81680ffd05938a41b975975a07cd9d304a88fbc4f7c":"{\n  \"raw_rows\": 2450,\n  \"unique_tickets\": 1800,\n  \"discarded_rows\": 650,\n  \"teams\": [\n    {\n      \"team\": \"billing\",\n      \"total\": 286,\n      \"unresolved\": 134,\n      \"high_priority_unresolved\": 44,\n      \"closed\": 152,\n      \"missing_closed_duration\": 24,\n      \"median_resolution_hours\": 42.75,\n      \"p90_resolution_hours\": 86,\n      \"sla_breaches\": 92\n    },\n    {\n      \"team\": \"ops\",\n      \"total\": 320,\n      \"unresolved\": 165,\n      \"high_priority_unresolved\": 52,\n      \"closed\": 155,\n      \"missing_closed_duration\": 18,\n      \"median_resolution_hours\": 48,\n      \"p90_resolution_hours\": 88.5,\n      \"sla_breaches\": 103\n    },\n    {\n      \"team\": \"platform\",\n      \"total\": 302,\n      \"unresolved\": 125,\n      \"high_priority_unresolved\": 37,\n      \"closed\": 177,\n      \"missing_closed_duration\": 19,\n      \"median_resolution_hours\": 51.0,\n      \"p90_resolution_hours\": 87.0,\n      \"sla_breaches\": 120\n    },\n    {\n      \"team\": \"sales\",\n      \"total\": 284,\n      \"unresolved\": 144,\n      \"high_priority_unresolved\": 46,\n      \"closed\": 140,\n      \"missing_closed_duration\": 18,\n      \"median_resolution_hours\": 52.25,\n      \"p90_resolution_hours\": 85.0,\n      \"sla_breaches\": 95\n    },\n    {\n      \"team\": \"support\",\n      \"total\": 324,\n      \"unresolved\": 168,\n      \"high_priority_unresolved\": 56,\n      \"closed\": 156,\n      \"missing_closed_duration\": 16,\n      \"median_resolution_hours\": 45.0,\n      \"p90_resolution_hours\": 83,\n      \"sla_breaches\": 105\n    },\n    {\n      \"team\": \"trust\",\n      \"total\": 284,\n      \"unresolved\": 153,\n      \"high_priority_unresolved\": 42,\n      \"closed\": 131,\n      \"missing_closed_duration\": 19,\n      \"median_resolution_hours\": 43.0,\n      \"p90_resolution_hours\": 91,\n      \"sla_breaches\": 74\n    }\n  ]\n}\n","306c4d7655cfa9f196b2cfcfb4d2b15918a29857e174fde42e96a313e45f85e9":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport tempfile\nimport unittest\n\nfrom analyze import analyze, render_report\n\n\nclass AnalysisTests(unittest.TestCase):\n    def setUp(self):\n        self.temp = tempfile.TemporaryDirectory(dir=Path(__file__).parent)\n        self.addCleanup(self.temp.cleanup)\n        self.root = Path(self.temp.name)\n\n    def write_rows(self, name, rows):\n        (self.root / name).write_text('\\n\\n' + '\\n'.join(json.dumps(t) for t in rows)\n                                      + '\\n  \\n', encoding='utf-8')\n\n    def ticket(self, id, duration=None, **changes):\n        result = dict(id=id, updated_at=1, team=' Team ', status='closed',\n                      priority='high', resolution_hours=duration)\n        result.update(changes)\n        return result\n\n    def test_latest_normalization_and_missing(self):\n        latest = self.ticket('a', updated_at=3, team=' OTHER ', status='pending')\n        self.write_rows('a.jsonl', [latest, self.ticket('b', 0),\n                                   self.ticket('c', 24), self.ticket('d', 25)])\n        self.write_rows('b.jsonl', [self.ticket('a', 100), latest,\n                                   self.ticket('e'), self.ticket('f', 999, status='open')])\n        (self.root / 'ignored.json').write_text('not JSONL')\n        result = analyze(self.root)\n        self.assertEqual((result['raw_rows'], result['unique_tickets'],\n                          result['discarded_rows']), (8, 6, 2))\n        self.assertEqual(result['teams'], [\n            dict(team='other', total=1, unresolved=1, high_priority_unresolved=1,\n                 closed=0, missing_closed_duration=0, median_resolution_hours=None,\n                 p90_resolution_hours=None, sla_breaches=0),\n            dict(team='team', total=5, unresolved=1, high_priority_unresolved=1,\n                 closed=4, missing_closed_duration=1, median_resolution_hours=24,\n                 p90_resolution_hours=25, sla_breaches=1)])\n        self.assertIn('N/A', render_report(result))\n\n    def test_even_median_and_nearest_rank(self):\n        for n, expected_median, expected_p90 in [(2, 0.5, 1), (10, 4.5, 8), (11, 5, 9)]:\n            with self.subTest(n=n):\n                self.write_rows('a.jsonl', [self.ticket(str(i), i) for i in range(n)])\n                row = analyze(self.root)['teams'][0]\n                self.assertEqual(row['median_resolution_hours'], expected_median)\n                self.assertEqual(row['p90_resolution_hours'], expected_p90)\n\n    def test_null_only_closed_and_fractional_duration(self):\n        self.write_rows('a.jsonl', [self.ticket('a'), self.ticket('b', 24.5, team='B')])\n        rows = analyze(self.root)['teams']\n        self.assertEqual(rows[0]['median_resolution_hours'], 24.5)\n        self.assertEqual(rows[0]['sla_breaches'], 1)\n        self.assertEqual(rows[1]['missing_closed_duration'], 1)\n        self.assertIsNone(rows[1]['p90_resolution_hours'])\n\n    def test_empty_cli_and_nested_output(self):\n        output = self.root / 'nested' / 'output'\n        subprocess.run([sys.executable, str(Path(__file__).with_name('analyze.py')),\n                        str(self.root), str(output)], check=True)\n        self.assertEqual(json.loads((output / 'summary.json').read_text()),\n                         dict(raw_rows=0, unique_tickets=0, discarded_rows=0, teams=[]))\n        self.assertIn('retained 0 unique tickets', (output / 'report.md').read_text())\n\n\nif __name__ == '__main__':\n    unittest.main()\n","f84b24c7b0496f8ea3114b2f9423d83e846ff13c086814f8f2841cbc058252a8":"\"\"\"Analyze latest ticket snapshots: python3 analyze.py INPUT_DIR OUTPUT_DIR.\"\"\"\n\nimport argparse\nimport json\nfrom pathlib import Path\nfrom statistics import median\n\n\ndef analyze(input_dir):\n    \"\"\"Return aggregate statistics, keeping the greatest revision of each ID.\"\"\"\n    latest = {}\n    raw_rows = 0\n    for path in sorted(Path(input_dir).glob('*.jsonl')):\n        if not path.is_file():\n            continue\n        with path.open(encoding='utf-8') as source:\n            for line in source:\n                if not line.strip():\n                    continue\n                ticket = json.loads(line)\n                raw_rows += 1\n                previous = latest.get(ticket['id'])\n                if previous is None or ticket['updated_at'] > previous['updated_at']:\n                    latest[ticket['id']] = ticket\n\n    groups = {}\n    for ticket in latest.values():\n        team = ticket['team'].strip().lower()\n        groups.setdefault(team, []).append(ticket)\n\n    teams = []\n    for team, tickets in sorted(groups.items()):\n        closed = [t for t in tickets if t['status'] == 'closed']\n        durations = sorted(t['resolution_hours'] for t in closed\n                           if t['resolution_hours'] is not None)\n        teams.append({\n            'team': team,\n            'total': len(tickets),\n            'unresolved': len(tickets) - len(closed),\n            'high_priority_unresolved': sum(\n                t['status'] != 'closed' and t['priority'] == 'high'\n                for t in tickets),\n            'closed': len(closed),\n            'missing_closed_duration': len(closed) - len(durations),\n            'median_resolution_hours': median(durations) if durations else None,\n            # Integer arithmetic implements ceil(0.9*n) exactly.\n            'p90_resolution_hours': durations[(9 * len(durations) + 9) // 10 - 1]\n            if durations else None,\n            'sla_breaches': sum(d > 24 for d in durations),\n        })\n    return {'raw_rows': raw_rows, 'unique_tickets': len(latest),\n            'discarded_rows': raw_rows - len(latest), 'teams': teams}\n\n\ndef render_report(summary):\n    \"\"\"Render a Markdown report using the same computed summary as the JSON.\"\"\"\n    lines = [\n        '# Ticket snapshot analysis', '',\n        f\"Read {summary['raw_rows']} nonblank snapshot rows; retained \"\n        f\"{summary['unique_tickets']} unique tickets and discarded \"\n        f\"{summary['discarded_rows']} superseded or duplicate rows.\", '',\n        'Each ticket uses its largest updated_at revision. Team names are stripped '\n        'of surrounding whitespace and lowercased. Open and pending tickets are unresolved.', '',\n        '| Team | Total | Unresolved | High-priority unresolved | Closed | Missing closed duration | Median hours | P90 hours | SLA breaches |',\n        '| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |',\n    ]\n    for row in summary['teams']:\n        cells = []\n        for key, value in row.items():\n            if key == 'team':\n                value = (value.replace('&', '&amp;').replace('<', '&lt;')\n                         .replace('>', '&gt;').replace('|', '&#124;')\n                         .replace('\\r', '&#13;').replace('\\n', '&#10;'))\n            cells.append('N/A' if value is None else str(value))\n        lines.append('| ' + ' | '.join(cells) + ' |')\n    if not summary['teams']:\n        lines.extend(['', 'No tickets were found.'])\n    lines.extend(['',\n        'Duration statistics include only closed tickets with non-null resolution_hours. '\n        'Closed tickets with null durations are counted as missing and excluded from '\n        'median, P90, and SLA calculations; durations on unresolved tickets are excluded. '\n        'Zero hours is a valid duration. Empty duration groups show N/A (null in JSON).', '',\n        'Median is the middle duration, or the mean of the two middle durations. '\n        'P90 uses nearest rank ceil(0.9 × n), with ranks starting at 1. '\n        'SLA breaches count closed durations strictly greater than 24 hours.', ''])\n    return '\\n'.join(lines)\n\n\ndef main():\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument('input_dir', type=Path)\n    parser.add_argument('output_dir', type=Path)\n    args = parser.parse_args()\n    if not args.input_dir.is_dir():\n        parser.error(f'input directory does not exist: {args.input_dir}')\n    summary = analyze(args.input_dir)\n    args.output_dir.mkdir(parents=True, exist_ok=True)\n    (args.output_dir / 'summary.json').write_text(\n        json.dumps(summary, indent=2, ensure_ascii=False) + '\\n', encoding='utf-8')\n    (args.output_dir / 'report.md').write_text(render_report(summary), encoding='utf-8')\n\n\nif __name__ == '__main__':\n    main()\n","b2c37f8493e9984b487bedb9fc877488f25c1708ec2e139813fa2274e0c46189":"# Ticket snapshot analysis\n\nRead 2450 nonblank snapshot rows; retained 1800 unique tickets and discarded 650 superseded or duplicate rows.\n\nEach ticket uses its largest updated_at revision. Team names are stripped of surrounding whitespace and lowercased. Open and pending tickets are unresolved.\n\n| Team | Total | Unresolved | High-priority unresolved | Closed | Missing closed duration | Median hours | P90 hours | SLA breaches |\n| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |\n| billing | 286 | 134 | 44 | 152 | 24 | 42.75 | 86 | 92 |\n| ops | 320 | 165 | 52 | 155 | 18 | 48 | 88.5 | 103 |\n| platform | 302 | 125 | 37 | 177 | 19 | 51.0 | 87.0 | 120 |\n| sales | 284 | 144 | 46 | 140 | 18 | 52.25 | 85.0 | 95 |\n| support | 324 | 168 | 56 | 156 | 16 | 45.0 | 83 | 105 |\n| trust | 284 | 153 | 42 | 131 | 19 | 43.0 | 91 | 74 |\n\nDuration statistics include only closed tickets with non-null resolution_hours. Closed tickets with null durations are counted as missing and excluded from median, P90, and SLA calculations; durations on unresolved tickets are excluded. Zero hours is a valid duration. Empty duration groups show N/A (null in JSON).\n\nMedian is the middle duration, or the mean of the two middle durations. P90 uses nearest rank ceil(0.9 × n), with ranks starting at 1. SLA breaches count closed durations strictly greater than 24 hours.\n","50cd2a6142c00ca9795281f52e7a1ea27304b34a5592461f06af639144afd8e6":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport tempfile\nimport unittest\n\nfrom analyze import analyze\n\n\nclass AnalysisTests(unittest.TestCase):\n    def test_latest_and_statistics(self):\n        def ticket(identifier, revision=2, team=' Ops ', status='closed',\n                   priority='high', duration=None):\n            return dict(id=identifier, updated_at=revision, team=team,\n                        status=status, priority=priority, resolution_hours=duration)\n\n        rows = [ticket(str(i), duration=d) for i, d in\n                enumerate([0, 2, 4, 6, 8, 10, 12, 24, 25, 100])]\n        rows += [ticket('missing'), ticket('pending', status='pending', duration=999),\n                 ticket('open', team=' ALPHA ', status='open', priority='low'),\n                 ticket('old', team='alpha')]\n        stale = ticket('0', revision=1, team='wrong', status='open')\n        with tempfile.TemporaryDirectory(dir=Path(__file__).parent) as temp:\n            root = Path(temp)\n            (root / 'a.jsonl').write_text('\\n' + '\\n'.join(map(json.dumps, rows)) + '\\n')\n            (root / 'b.jsonl').write_text('\\n'.join(map(json.dumps, [stale, rows[0]])))\n            (root / 'ignored.txt').write_text('not json')\n            result = analyze(root)\n            self.assertEqual((result['raw_rows'], result['unique_tickets'],\n                              result['discarded_rows']), (16, 14, 2))\n            self.assertEqual(result['teams'], [\n                dict(team='alpha', total=2, unresolved=1, high_priority_unresolved=0,\n                     closed=1, missing_closed_duration=1, median_resolution_hours=None,\n                     p90_resolution_hours=None, sla_breaches=0),\n                dict(team='ops', total=12, unresolved=1, high_priority_unresolved=1,\n                     closed=11, missing_closed_duration=1, median_resolution_hours=9,\n                     p90_resolution_hours=25, sla_breaches=2)])\n\n    def test_odd_and_single_duration(self):\n        with tempfile.TemporaryDirectory(dir=Path(__file__).parent) as temp:\n            root = Path(temp)\n            for durations in ([3], [1, 3, 7]):\n                rows = [dict(id=i, updated_at=0, team='x', status='closed',\n                             priority='low', resolution_hours=d)\n                        for i, d in enumerate(durations)]\n                (root / 'x.jsonl').write_text('\\n'.join(map(json.dumps, rows)))\n                row = analyze(root)['teams'][0]\n                self.assertEqual(row['median_resolution_hours'], 3)\n                self.assertEqual(row['p90_resolution_hours'], durations[-1])\n\n    def test_empty_cli(self):\n        with tempfile.TemporaryDirectory(dir=Path(__file__).parent) as temp:\n            root = Path(temp)\n            output = root / 'nested' / 'output'\n            subprocess.run([sys.executable, str(Path(__file__).with_name('analyze.py')),\n                            str(root), str(output)], check=True)\n            self.assertEqual(json.loads((output / 'summary.json').read_text()),\n                             dict(raw_rows=0, unique_tickets=0, discarded_rows=0, teams=[]))\n            self.assertIn('No tickets were found.', (output / 'report.md').read_text())\n\n\nif __name__ == '__main__':\n    unittest.main()\n","efbe449b6fa80d9de1f8d7c925006792f8cd5463d3b129d034da14763221c3b2":"\"\"\"Command-line parsing, JSON decoding, and input/output.\"\"\"\n\nimport json\nimport sys\n\nfrom .domain import LogError, aggregate, identifier\n\n\ndef reject_constant(value):\n    raise ValueError()\n\n\ndef decode_records(lines):\n    \"\"\"Decode lazily so validation reports errors in input order.\"\"\"\n    for line, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            record = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LogError('INVALID_JSON', line) from None\n        yield line, record\n\n\ndef main():\n    try:\n        args = sys.argv[1:]\n        if not args:\n            selected = None\n        elif len(args) == 2 and args[0] == '--service' and identifier(args[1]):\n            selected = args[1]\n        else:\n            raise LogError('INVALID_ARGUMENT')\n        result = aggregate(decode_records(sys.stdin), selected)\n    except LogError as error:\n        print(json.dumps({'error': {'code': error.code, 'line': error.line}}),\n              file=sys.stderr)\n        return 2\n    print(json.dumps(result))\n    return 0\n","9367667f207214c2744c65fd7417146e6aee90a50935537b417d7b61bb7f122d":"\"\"\"Record validation and aggregation, independent of JSON and command-line I/O.\"\"\"\n\nimport re\n\n\nclass LogError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n\n\ndef identifier(value):\n    return (\n        isinstance(value, str)\n        and re.fullmatch(r'[A-Za-z0-9_-]{1,32}', value) is not None\n    )\n\n\ndef validate(record, line):\n    if not isinstance(record, dict) or set(record) != {'service', 'level', 'duration_ms'}:\n        raise LogError('INVALID_RECORD', line)\n    if (\n        not identifier(record['service'])\n        or record['level'] not in ['info', 'warn', 'error']\n        or type(record['duration_ms']) is not int\n        or not 0 <= record['duration_ms'] <= 1000000000\n    ):\n        raise LogError('INVALID_RECORD', line)\n\n\ndef aggregate(records, selected=None):\n    \"\"\"Consume (physical line number, decoded record) pairs and return totals.\n\n    Validate all records, including services excluded by the output filter.\n    \"\"\"\n    groups = {}\n    for line, record in records:\n        validate(record, line)\n        name = record['service']\n        duration = record['duration_ms']\n        row = groups.setdefault(name, dict(\n            service=name, count=0, errors=0,\n            duration_sum_ms=0, duration_max_ms=0,\n        ))\n        row['count'] += 1\n        row['errors'] += int(record['level'] == 'error')\n        row['duration_sum_ms'] += duration\n        row['duration_max_ms'] = max(row['duration_max_ms'], duration)\n    rows = [groups[k] for k in sorted(groups) if selected is None or selected == k]\n    return {'services': rows, 'count': sum(row['count'] for row in rows)}\n","831c6eedee8387667f38e2c8d3b167f6f8640c4f249bf85d31f05fc2c56ca777":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\n\nfrom logstats.domain import LogError, aggregate\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef record(service='api', level='info', duration_ms=1):\n    return dict(service=service, level=level, duration_ms=duration_ms)\n\n\ndef run_cli(raw='', args=()):\n    return subprocess.run([sys.executable, '-m', 'logstats', *args],\n                          input=raw, text=True, capture_output=True, cwd=ROOT)\n\n\nclass CLITests(unittest.TestCase):\n    def assert_error(self, raw, code, line, args=()):\n        result = run_cli(raw, args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(json.loads(result.stderr),\n                         {'error': {'code': code, 'line': line}})\n\n    def test_totals_and_filter(self):\n        raw = '\\n'.join(json.dumps(r) for r in [\n            record('z', 'warn', 0), record('api', 'error', 1000000000),\n            record('api', 'info', 2)])\n        rows = [dict(service='api', count=2, errors=1,\n                     duration_sum_ms=1000000002, duration_max_ms=1000000000),\n                dict(service='z', count=1, errors=0,\n                     duration_sum_ms=0, duration_max_ms=0)]\n        for args, expected_rows in [((), rows), (('--service', 'api'), rows[:1]),\n                                    (('--service', 'missing'), [])]:\n            with self.subTest(args=args):\n                result = run_cli(raw, args)\n                self.assertEqual(result.returncode, 0)\n                self.assertEqual(result.stderr, '')\n                self.assertEqual(json.loads(result.stdout), {\n                    'services': expected_rows,\n                    'count': sum(r['count'] for r in expected_rows)})\n\n    def test_empty(self):\n        for raw in ['', '\\n \\t\\n']:\n            result = run_cli(raw)\n            self.assertEqual(result.returncode, 0)\n            self.assertEqual(result.stderr, '')\n            self.assertEqual(json.loads(result.stdout), {'services': [], 'count': 0})\n\n    def test_invalid_records(self):\n        invalid = [None, [], 1, {}, {**record(), 'extra': 1}]\n        for key, values in {\n            'service': ['', 'a' * 33, 'é', 'a b', 'a\\n', None, 1],\n            'level': ['INFO', '', [], {}, None, 1],\n            'duration_ms': [True, False, 1.0, -1, 1000000001, '1', None],\n        }.items():\n            invalid.extend({**record(), key: value} for value in values)\n        for key in record():\n            invalid.append({k: v for k, v in record().items() if k != key})\n        for value in invalid:\n            with self.subTest(value=value):\n                self.assert_error('\\n' + json.dumps(value), 'INVALID_RECORD', 2)\n\n    def test_invalid_json(self):\n        for raw in ['{', 'NaN', 'Infinity', '-Infinity', '{} {}',\n                    '{\"duration_ms\": NaN}', '[' * 2000]:\n            with self.subTest(raw=raw[:40]):\n                self.assert_error('\\n\\n' + raw, 'INVALID_JSON', 3)\n\n    def test_error_order_and_filtered_validation(self):\n        self.assert_error('\\n{}\\n{', 'INVALID_RECORD', 2)\n        self.assert_error('\\n{\\n{}', 'INVALID_JSON', 2)\n        self.assert_error(json.dumps(record()) + '\\n\\n{}', 'INVALID_RECORD', 3,\n                          ('--service', 'missing'))\n\n    def test_arguments(self):\n        for args in [('--help',), ('--serv', 'api'), ('--service=api',),\n                     ('--service',), ('api',), ('--service', ''),\n                     ('--service', 'a' * 33), ('--service', 'é'),\n                     ('--service', 'api', 'extra'), ('--',)]:\n            with self.subTest(args=args):\n                self.assert_error('{', 'INVALID_ARGUMENT', 0, args)\n\n\nclass DomainTests(unittest.TestCase):\n    def test_decoded_records_and_identifier_boundaries(self):\n        for name in ['a', 'A0_-', 'a' * 32]:\n            result = aggregate([(7, record(name, duration_ms=0))])\n            self.assertEqual(result['count'], 1)\n            self.assertEqual(result['services'][0]['service'], name)\n\n    def test_line_is_preserved(self):\n        with self.assertRaises(LogError) as caught:\n            aggregate([(42, {})])\n        self.assertEqual((caught.exception.code, caught.exception.line),\n                         ('INVALID_RECORD', 42))\n\n\nif __name__ == '__main__':\n    unittest.main()\n","baeea6d449a5f8f09e11a26e478df5f58c941b6e2c7cd554567c33476295c804":"import json\nimport sys\n\nfrom .domain import LogError, aggregate as aggregate_records, identifier\n\n\ndef reject_constant(value):\n    raise ValueError()\n\n\ndef decode_records(lines):\n    \"\"\"Yield decoded records with their physical input line numbers.\"\"\"\n    for line, raw in enumerate(lines, 1):\n        if not raw.strip():\n            continue\n        try:\n            record = json.loads(raw, parse_constant=reject_constant)\n        except (ValueError, RecursionError):\n            raise LogError('INVALID_JSON', line) from None\n        yield line, record\n\n\ndef aggregate(lines, selected):\n    return aggregate_records(decode_records(lines), selected)\n\n\ndef main():\n    try:\n        args = sys.argv[1:]\n        if not args:\n            selected = None\n        elif len(args) == 2 and args[0] == '--service' and identifier(args[1]):\n            selected = args[1]\n        else:\n            raise LogError('INVALID_ARGUMENT')\n        result = aggregate(sys.stdin, selected)\n    except LogError as error:\n        print(json.dumps({'error': {'code': error.code, 'line': error.line}}),\n              file=sys.stderr)\n        return 2\n    print(json.dumps(result))\n    return 0\n","006e492f0968a05b8ef269673779bb01fbc0988f4d51a74619af0254f06b4efe":"\"\"\"Record validation and aggregation, independent of JSON and input/output.\"\"\"\n\nimport re\n\n\nclass LogError(Exception):\n    def __init__(self, code, line=0):\n        self.code = code\n        self.line = line\n\n\ndef identifier(value):\n    return (isinstance(value, str)\n            and re.fullmatch(r'[A-Za-z0-9_-]{1,32}', value) is not None)\n\n\ndef validate(record, line):\n    if (not isinstance(record, dict)\n            or set(record) != {'service', 'level', 'duration_ms'}):\n        raise LogError('INVALID_RECORD', line)\n    if (not identifier(record['service'])\n            or record['level'] not in ['info', 'warn', 'error']\n            or type(record['duration_ms']) is not int\n            or not 0 <= record['duration_ms'] <= 1000000000):\n        raise LogError('INVALID_RECORD', line)\n\n\ndef aggregate(records, selected=None):\n    \"\"\"Validate (line number, record) pairs and return sorted service totals.\n\n    All records are validated, including services excluded from the result.\n    \"\"\"\n    groups = {}\n    for line, record in records:\n        validate(record, line)\n        name = record['service']\n        duration = record['duration_ms']\n        row = groups.setdefault(name, dict(\n            service=name, count=0, errors=0,\n            duration_sum_ms=0, duration_max_ms=0))\n        row['count'] += 1\n        row['errors'] += int(record['level'] == 'error')\n        row['duration_sum_ms'] += duration\n        row['duration_max_ms'] = max(row['duration_max_ms'], duration)\n    rows = [groups[name] for name in sorted(groups)\n            if selected is None or selected == name]\n    return {'services': rows, 'count': sum(row['count'] for row in rows)}\n","644e116ba5d92d6dab149a9859aab82f0101a802707618bf3fe0eea2036769ab":"import json\nfrom pathlib import Path\nimport subprocess\nimport sys\nimport unittest\nfrom unittest.mock import patch\n\nfrom logstats.cli import decode_records\n\nfrom logstats.domain import LogError, aggregate\n\n\nROOT = Path(__file__).resolve().parents[1]\n\n\ndef record(service='api', level='info', duration_ms=0):\n    return dict(service=service, level=level, duration_ms=duration_ms)\n\n\nclass CliTests(unittest.TestCase):\n    def run_cli(self, data='', args=()):\n        return subprocess.run(\n            [sys.executable, '-m', 'logstats', *args], input=data,\n            text=True, capture_output=True, cwd=ROOT)\n\n    def assert_error(self, data, code, line, args=()):\n        result = self.run_cli(data, args)\n        self.assertEqual(result.returncode, 2)\n        self.assertEqual(result.stdout, '')\n        self.assertEqual(json.loads(result.stderr),\n                         {'error': {'code': code, 'line': line}})\n\n    def test_empty(self):\n        for data in ('', '\\n \\t\\n'):\n            with self.subTest(data=data):\n                result = self.run_cli(data)\n                self.assertEqual(result.returncode, 0)\n                self.assertEqual(result.stderr, '')\n                self.assertEqual(json.loads(result.stdout), {'services': [], 'count': 0})\n\n    def test_totals_sorting_and_filter(self):\n        data = '\\n'.join(json.dumps(r) for r in (\n            record('z', 'warn', 0), record('a', 'error', 1000000000),\n            record('a', 'info', 1000000000), record('a', 'warn', 1)))\n        rows = [dict(service='a', count=3, errors=1,\n                     duration_sum_ms=2000000001, duration_max_ms=1000000000),\n                dict(service='z', count=1, errors=0,\n                     duration_sum_ms=0, duration_max_ms=0)]\n        for args, expected in (((), rows), (('--service', 'a'), rows[:1]),\n                               (('--service', 'missing'), [])):\n            with self.subTest(args=args):\n                result = self.run_cli(data, args)\n                self.assertEqual(result.returncode, 0)\n                self.assertEqual(result.stderr, '')\n                self.assertEqual(json.loads(result.stdout),\n                                 {'services': expected,\n                                  'count': sum(r['count'] for r in expected)})\n\n    def test_invalid_records(self):\n        invalid = [None, [], 1, 'text', {},\n                   dict(record(), extra=1), {'service': 'api', 'level': 'info'}]\n        for service in ('', 'a' * 33, 'é', 'a.b', 'a\\n', None, 1, []):\n            invalid.append(record(service=service))\n        for level in ('INFO', '', None, [], {}, True):\n            invalid.append(record(level=level))\n        for duration in (-1, 1000000001, True, False, 1.0, '1', None, []):\n            invalid.append(record(duration_ms=duration))\n        for value in invalid:\n            with self.subTest(value=value):\n                self.assert_error('\\n' + json.dumps(value), 'INVALID_RECORD', 2)\n\n    def test_identifier_boundaries(self):\n        for service in ('A', '_-09Az', 'a' * 32):\n            with self.subTest(service=service):\n                result = self.run_cli(json.dumps(record(service)), ('--service', service))\n                self.assertEqual(result.returncode, 0)\n                self.assertEqual
diff --git a/effects.json b/effects.json
diff --git a/experiment.json b/experiment.json
diff --git a/invalid_attempts.csv b/invalid_attempts.csv
diff --git a/manual-audit.json b/manual-audit.json
diff --git a/pairs.csv b/pairs.csv
diff --git a/records.json b/records.json
diff --git a/render_figures.py b/render_figures.py
diff --git a/reproduce.py b/reproduce.py
diff --git a/resources.json b/resources.json
diff --git a/summary.json b/summary.json
diff --git a/verification.json b/verification.json
先读这三点	本轮证据
平均更贵	旧模式 30 次合计 $10.774530；新模式 30 次合计 $13.169534
统一缓存计价后，方向仍相同	两边都假设 90% 缓存命中率，新模式仍高 13.6%，95% 区间 +5.0%～+22.9%
结论有清楚的边界	五个合成任务、每类六对、同一模型配置；不代表所有任务，不覆盖跨窗口长任务
任务	旧模式均费	新模式均费	费用变化	Token 变化	验收：旧 / 新
实现记账功能	$0.3742	$0.4457	+19.1%	+25.5%	6/6 · 6/6
修复报价缺陷	$0.2835	$0.3399	+19.9%	+11.5%	6/6 · 6/6
重构日志统计	$0.4391	$0.5277	+20.2%	+17.6%	6/6 · 6/6
代码审查	$0.3172	$0.3732	+17.6%	+10.0%	6/6 · 6/6
工单数据分析	$0.3818	$0.5084	+33.2%	+31.2%	6/6 · 6/6
计价方式	新模式相对旧模式	95% 区间
实际记录的缓存命中 · 主指标	+22.2%	+11.2%～+33.9%
两边统一 0% 命中率	+17.9%	+10.3%～+25.8%
两边统一 50% 命中率	+16.7%	+8.8%～+24.9%
两边统一 90% 命中率 · 主要敏感性分析	+13.6%	+5.0%～+22.9%
两边统一 100% 命中率	+11.7%	+2.5%～+21.7%
类别	每百万 Token
普通输入	$10.00
缓存命中	$1.00
缓存写入	$12.50
输出	$50.00
任务	模式	缓存命中率	普通输入费	命中费	写入费	输出费
记账实现	old	75.7%	$0.15309	$0.04772	$0.00000	$0.17337
记账实现	new	76.0%	$0.19130	$0.06046	$0.00000	$0.19398
报价修复	old	83.2%	$0.11547	$0.05730	$0.00000	$0.11073
报价修复	new	77.6%	$0.17235	$0.05986	$0.00000	$0.10770
日志重构	old	82.5%	$0.16617	$0.07846	$0.00000	$0.19444
日志重构	new	78.9%	$0.23665	$0.08870	$0.00000	$0.20232
代码审查	old	79.3%	$0.15220	$0.05835	$0.00000	$0.10669
代码审查	new	75.1%	$0.20161	$0.06091	$0.00000	$0.11064
数据分析	old	84.9%	$0.13090	$0.07379	$0.00000	$0.17707
数据分析	new	81.6%	$0.21040	$0.09355	$0.00000	$0.20448
配对	任务	先执行	旧费用	新费用	变化
p01	记账实现	new	$0.35359	$0.42865	+21.2%
p02	报价修复	old	$0.32727	$0.32638	-0.3%
p03	记账实现	new	$0.30804	$0.62051	+101.4%
p04	日志重构	old	$0.41725	$0.60507	+45.0%
p05	报价修复	new	$0.31521	$0.36303	+15.2%
p06	数据分析	new	$0.34976	$0.44290	+26.6%
p07	日志重构	old	$0.38576	$0.60079	+55.7%
p08	数据分析	old	$0.38011	$0.48921	+28.7%
p09	代码审查	new	$0.37705	$0.35556	-5.7%
p10	数据分析	new	$0.34177	$0.52266	+52.9%
p11	日志重构	new	$0.38186	$0.51123	+33.9%
p12	报价修复	new	$0.24304	$0.31350	+29.0%
p13	记账实现	old	$0.28163	$0.43215	+53.4%
p14	记账实现	old	$0.52546	$0.41018	-21.9%
p15	代码审查	new	$0.31467	$0.39426	+25.3%
p16	日志重构	new	$0.62726	$0.47037	-25.0%
p17	报价修复	old	$0.29360	$0.33658	+14.6%
p18	报价修复	new	$0.29141	$0.34457	+18.2%
p19	数据分析	new	$0.39602	$0.58443	+47.6%
p20	代码审查	old	$0.23476	$0.38360	+63.4%
p21	日志重构	new	$0.45997	$0.55510	+20.7%
p22	代码审查	old	$0.27003	$0.37513	+38.9%
p23	代码审查	new	$0.41210	$0.32885	-20.2%
p24	数据分析	old	$0.34736	$0.55517	+59.8%
p25	记账实现	old	$0.48561	$0.38610	-20.5%
p26	报价修复	old	$0.23049	$0.35543	+54.2%
p27	日志重构	old	$0.36234	$0.42348	+16.9%
p28	数据分析	old	$0.47555	$0.45624	-4.1%
p29	代码审查	old	$0.29484	$0.40155	+36.2%
p30	记账实现	new	$0.29073	$0.39686	+36.5%
用量分项	旧模式 · 30 次	新模式 · 30 次	增量
输入 Token（含缓存命中）	2,324,457	2,788,256	+463,799
输出 Token（已含推理输出）	91,476	98,295	+6,819
总 Token	2,415,933	2,886,551	+470,618
模型响应次数	176	182	+6
首次请求的平均输入 Token	10,886.6	12,847.7	+1,961.1
控制项	本轮做法
模型与配置	`gpt-6-astra` / `low` / `default`；CLI `0.153.4`
输入	每对的需求和初始文件完全相同，用 SHA-256 验证
改变的变量	配对配置只改变实验性上下文管理开关；开关带来的提示与工具差异属于模式本身
会话隔离	每次使用全新工作目录与本地配置；共同关闭跨会话记忆、插件、子代理、宿主技能发现和 shell 快照
执行顺序	每类恰好三对旧先跑、三对新先跑；任务间打乱；全程串行
样本量	预先固定五类 × 六对 = 30 对 / 60 次，不按费用提前停止
自然过程	不强制压缩，不降低上下文阈值，不要求预写记忆或安排人为阶段
完成标准	原始外部验收；最多两次修复反馈，费用全部保留；本轮实际反馈 0 次
任务	用户可见的完成结果	每次固定检查
记账功能	JSONL 记账 CLI 按规则输出余额和错误	57
报价修复	布尔数量、折扣边界、税额舍入等行为正确	93
日志重构	CLI 行为不变，验证与统计移入领域模块	69
代码审查	三个真实缺陷及可执行复现，对比正确参考实现	6
数据分析	可复用脚本生成报告，并通过三个未直接展示的数据集	11
用途	次数	Token	API 估值
正式配对样本	60	5,302,484	$23.944064
中断导致的整对作废尝试	2	126,738	$0.661092
整批排除的准备运行	12	980,701	$4.438194
模型可用性预检	1	13,231	$0.132510
登记范围内合计	75	6,423,154	$29.175860