{"case_id": "challenge-coding-001", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "parser", "state"], "scorer": "code_python_tests", "expected": {"tests": ["lines = ['# comment', '[db]', ' host = localhost ', 'port=5432', '', '[feature]', 'enabled=true', 'enabled = false']\nassert solution.solve(lines) == {'db': {'host': 'localhost', 'port': '5432'}, 'feature': {'enabled': 'false'}}", "assert solution.solve(['[x]', 'a=1', 'a=2', '[y]', 'b = hi']) == {'x': {'a': '2'}, 'y': {'b': 'hi'}}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(lines: list[str]) -> dict。lines 是简化 INI：空行和以 # 开头的行忽略；[section] 开始新 section；key=value 写入当前 section；key/value 两侧空白要去掉；同一 section 内重复 key 后者覆盖前者。返回嵌套 dict。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "2ca132befd6923601a17f24e5efb427ea787e3ae63ae265dd45f0c700cd895d6", "started_at": "2026-06-30T00:32:19.593087+00:00", "latency_ms": 15696, "output": "```python\ndef solve(lines: list[str]) -> dict:\n result = {}\n current = None\n for line in lines:\n line = line.strip()\n if not line or line.startswith('#'):\n continue\n if line.startswith('[') and line.endswith(']'):\n current = line[1:-1].strip()\n if current not in result:\n result[current] = {}\n elif '=' in line and current is not None:\n key, value = line.split('=', 1)\n result[current][key.strip()] = value.strip()\n return result\n```", "usage": {"prompt_tokens": 112, "completion_tokens": 123, "total_tokens": 235, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779512-kFQoyjYPGpkUrT9mI0m8", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-002", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "ledger", "state"], "scorer": "code_python_tests", "expected": {"tests": ["events = ['a credit 100', 'b debit 40', 'a credit 999', 'rev b', 'c debit 10']\nassert solution.solve(events) == 90", "events = ['x debit 5', 'rev y', 'rev x', 'rev x', 'z credit 7']\nassert solution.solve(events) == 7"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(events: list[str]) -> int。事件格式：\" credit \" 增加余额，\" debit \" 减少余额，\"rev \" 撤销此前尚未撤销过的同 id 事件。重复交易 id 只保留第一次，未知撤销忽略。返回最终余额。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "3d2d5a46a600444476b5ddfd04634035ff394bcb76fcd230d785597c9cf295ae", "started_at": "2026-06-30T00:32:35.332548+00:00", "latency_ms": 6311, "output": "```python\ndef solve(events: list[str]) -> int:\n balance = 0\n processed = {} # id -> (amount_change, is_active)\n active_ids = set()\n \n for event in events:\n parts = event.split()\n if parts[0] == \"rev\":\n target_id = parts[1]\n if target_id in active_ids:\n change = processed[target_id]\n balance -= change\n active_ids.discard(target_id)\n else:\n eid = parts[0]\n if eid in processed:\n continue\n amount = int(parts[2])\n if parts[1] == \"credit\":\n balance += amount\n processed[eid] = amount\n active_ids.add(eid)\n elif parts[1] == \"debit\":\n balance -= amount\n processed[eid] = -amount\n active_ids.add(eid)\n \n return balance\n```", "usage": {"prompt_tokens": 113, "completion_tokens": 195, "total_tokens": 308, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779528-SahAczOyb7j0zbDU9hgt", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-003", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "topological-sort"], "scorer": "code_python_tests", "expected": {"tests": ["deps = {'build': ['lint', 'test'], 'test': ['install'], 'lint': ['install']}\nassert solution.solve(deps) == [['install'], ['lint', 'test'], ['build']]", "assert solution.solve({'a': ['b'], 'b': ['a']}) == []", "assert solution.solve({'deploy': ['build'], 'build': []}) == [['build'], ['deploy']]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(deps: dict[str, list[str]]) -> list[list[str]]。deps 表示 task -> prerequisites。返回可并行执行的拓扑层，每层任务按字典序排序；如果存在环，返回空列表。所有只出现在 prerequisites 中的任务也要包含。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "413c5b602b0fd1ae1e9c3a49b09ecf03c61769fce4b34dbd96b5d8c6a2c68f90", "started_at": "2026-06-30T00:32:41.688881+00:00", "latency_ms": 9163, "output": "```python\ndef solve(deps: dict[str, list[str]]) -> list[list[str]]:\n from collections import defaultdict, deque\n\n # Collect all tasks\n all_tasks = set(deps.keys())\n for prereqs in deps.values():\n all_tasks.update(prereqs)\n\n # Build graph and in-degree\n in_degree = {t: 0 for t in all_tasks}\n graph = defaultdict(list)\n\n for task, prereqs in deps.items():\n for p in prereqs:\n graph[p].append(task)\n in_degree[task] += 1\n\n # Kahn's algorithm with level-by-level BFS\n queue = deque(sorted([t for t in all_tasks if in_degree[t] == 0]))\n result = []\n\n while queue:\n level = sorted(queue)\n result.append(level)\n next_queue = []\n for task in level:\n for neighbor in graph[task]:\n in_degree[neighbor] -= 1\n if in_degree[neighbor] == 0:\n next_queue.append(neighbor)\n queue = deque(sorted(next_queue))\n\n # Check for cycle\n total = sum(len(level) for level in result)\n if total != len(all_tasks):\n return []\n\n return result\n```", "usage": {"prompt_tokens": 106, "completion_tokens": 272, "total_tokens": 378, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779534-wIyuKd1CNGo8ZdDdRMBJ", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-004", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "lru"], "scorer": "code_python_tests", "expected": {"tests": ["ops = ['put a 1', 'put b 2', 'get a', 'put c 3', 'get b', 'get a', 'get c']\nassert solution.solve(2, ops) == [1, -1, 1, 3]", "assert solution.solve(0, ['put a 1', 'get a']) == [-1]", "assert solution.solve(1, ['put a 1', 'put a 2', 'get a']) == [2]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(capacity: int, ops: list[str]) -> list[int]，模拟 LRU cache。ops 包含 \"put key value\" 和 \"get key\"。get 返回 value，不存在返回 -1。put 已存在 key 要更新并变成最近使用。容量为 0 时所有 get 都返回 -1。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "840e7b4d0c404f3d7b34ebc9931e87612608d6339755d5f1066fda55bd957375", "started_at": "2026-06-30T00:32:50.896980+00:00", "latency_ms": 5439, "output": "```python\ndef solve(capacity: int, ops: list[str]) -> list[int]:\n from collections import OrderedDict\n \n cache = OrderedDict()\n result = []\n \n for op in parts := op.split():\n pass\n \n for op in ops:\n parts = op.split()\n cmd = parts[0]\n if cmd == \"get\":\n key = int(parts[1])\n if capacity == 0 or key not in cache:\n result.append(-1)\n else:\n cache.move_to_end(key)\n result.append(cache[key])\n elif cmd == \"put\":\n key = int(parts[1])\n value = int(parts[2])\n if capacity == 0:\n continue\n if key in cache:\n cache.move_to_end(key)\n cache[key] = value\n if len(cache) > capacity:\n cache.popitem(last=False)\n \n return result\n```", "usage": {"prompt_tokens": 120, "completion_tokens": 190, "total_tokens": 310, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779543-UQrK9F7YwkXkboSlLQCc", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"returncode": 1, "stdout": "", "stderr": "Traceback (most recent call last):\n File \"/var/folders/x_/4cht1kfj1_j31gdv5w01sgmw0000gn/T/dracobench-code-otph7l6u/test_solution.py\", line 1, in \n import solution\n File \"/private/var/folders/x_/4cht1kfj1_j31gdv5w01sgmw0000gn/T/dracobench-code-otph7l6u/solution.py\", line 7\n for op in parts := op.split():\n ^^\nSyntaxError: invalid syntax\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-005", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "json", "copy"], "scorer": "code_python_tests", "expected": {"tests": ["base = {'a': 1, 'b': {'x': 1, 'y': 2}, 'c': 3}\npatch = {'b': {'y': None, 'z': 4}, 'c': None}\nassert solution.solve(base, patch) == {'a': 1, 'b': {'x': 1, 'z': 4}}\nassert base == {'a': 1, 'b': {'x': 1, 'y': 2}, 'c': 3}", "assert solution.solve({'a': {'b': 1}}, {'a': 5}) == {'a': 5}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(base: dict, patch: dict) -> dict，执行 JSON Merge Patch：patch 中值为 None 表示删除该 key；两个值都是 dict 时递归合并；其他值覆盖。不能修改输入对象。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "8dc22406b418d74ea74b50692fe086d4f80748258269dc93f82290e6c344b5a3", "started_at": "2026-06-30T00:32:56.357981+00:00", "latency_ms": 4287, "output": "```python\ndef solve(base: dict, patch: dict) -> dict:\n result = dict(base)\n for key, value in patch.items():\n if value is None:\n result.pop(key, None)\n elif isinstance(value, dict) and isinstance(result.get(key), dict):\n result[key] = solve(result[key], value)\n else:\n result[key] = value\n return result\n```", "usage": {"prompt_tokens": 93, "completion_tokens": 86, "total_tokens": 179, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779549-VquBZxODBEQym72541Ww", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-006", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "regex", "duration"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('1h 30m 500ms') == 5400500", "assert solution.solve('2d 1h 2s') == 176402000", "assert solution.solve('100ms 2s 3ms') == 2103"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(text: str) -> int，把时长字符串转换成毫秒。支持整数单位 d、h、m、s、ms，可有空格，单位可重复，顺序任意。例如 \"1h 30m 500ms\"。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "ce87366a2f6f080a35c0fdd0872b6a8304a8233e0c5c9361c19fec614c0d1fcb", "started_at": "2026-06-30T00:33:00.679888+00:00", "latency_ms": 4983, "output": "```python\nimport re\n\ndef solve(text: str) -> int:\n units = {'d': 86400000, 'h': 3600000, 'm': 60000, 's': 1000, 'ms': 1}\n total = 0\n for m in re.finditer(r'(\\d+)\\s*(d|h|m|s|ms)', text):\n value = int(m.group(1))\n unit = m.group(2)\n total += value * units[unit]\n return total\n```", "usage": {"prompt_tokens": 99, "completion_tokens": 128, "total_tokens": 227, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779553-DBWYlPSVToCO41JkTljT", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"returncode": 1, "stdout": "", "stderr": "Traceback (most recent call last):\n File \"/var/folders/x_/4cht1kfj1_j31gdv5w01sgmw0000gn/T/dracobench-code-25m8effa/test_solution.py\", line 3, in \n assert solution.solve('1h 30m 500ms') == 5400500\nAssertionError\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-007", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "parser", "quotes"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('{a:[(1)]}') is True", "assert solution.solve(\"{'x': '(]'}\") is True", "assert solution.solve(\"['unterminated]\") is False", "assert solution.solve('([)]') is False", "assert solution.solve(\"\\\"paren \\\\\\\" ) still quoted\\\"\") is True"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(s: str) -> bool，检查括号 ()[]{} 是否配对。单引号或双引号内部的括号忽略；反斜杠会转义引号。输入字符串可以包含普通字符。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "2f2e8f01533244c8104f74b3f9c9bc261154f2ff4c46c03a031258f6a5706f9f", "started_at": "2026-06-30T00:33:05.703296+00:00", "latency_ms": 7283, "output": "```python\ndef solve(s: str) -> bool:\n stack = []\n i = 0\n n = len(s)\n in_quote = None # None, \"'\", or '\"'\n \n while i < n:\n c = s[i]\n \n if in_quote is not None:\n if c == '\\\\' and i + 1 < n:\n i += 2\n continue\n if c == in_quote:\n in_quote = None\n i += 1\n continue\n \n if c in ('\"', \"'\"):\n in_quote = c\n i += 1\n continue\n \n if c in '([{':\n stack.append(c)\n elif c in ')]}':\n if not stack:\n return False\n top = stack.pop()\n if (c == ')' and top != '(') or \\\n (c == ']' and top != '[') or \\\n (c == '}' and top != '{'):\n return False\n \n i += 1\n \n return len(stack) == 0\n```", "usage": {"prompt_tokens": 91, "completion_tokens": 226, "total_tokens": 317, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779558-tLFK5LzBZHIGbwvWm5Mw", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-008", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "dedupe", "sorting"], "scorer": "code_python_tests", "expected": {"tests": ["rows = [{'user':'b','ts':1,'value':'old'}, {'user':'a','ts':2,'value':'x'}, {'user':'b','ts':3,'value':'new'}]\nassert solution.solve(rows) == [{'user':'a','ts':2,'value':'x'}, {'user':'b','ts':3,'value':'new'}]", "rows = [{'user':'a','ts':1,'value':'first'}, {'user':'a','ts':1,'value':'second'}]\nassert solution.solve(rows) == [{'user':'a','ts':1,'value':'second'}]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(rows: list[dict]) -> list[dict]。每行有 user、ts、value。对每个 user 保留 ts 最大的一行；若 ts 相同，保留在输入中更靠后的行。输出按 user 字典序排序。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "2a9a2d40a756627e38d28a8ac6afc98311acbafa718d7b3aaaecbedb9f020179", "started_at": "2026-06-30T00:33:13.042252+00:00", "latency_ms": 4713, "output": "```python\ndef solve(rows: list[dict]) -> list[dict]:\n best = {}\n for i, row in enumerate(rows):\n u = row[\"user\"]\n if u not in best or row[\"ts\"] > best[u][0] or (row[\"ts\"] == best[u][0] and i > best[u][1]):\n best[u] = (row[\"ts\"], i, row)\n return [v[2] for _, v in sorted(best.items(), key=lambda x: x[0])]\n```", "usage": {"prompt_tokens": 102, "completion_tokens": 112, "total_tokens": 214, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779565-kuBxlGnBxE74SAvV6joC", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-001", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "iterator-default", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*def\\s+summarize\\(items=None\\)\\s*:", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码在 total 之后再次读取数据会变成空列表。请指出根因，并给出最小修复。最后单独一行写 FIX: <修复后的第一行函数定义>。\n\n```python\ndef summarize(items=iter([1, 2, 3])):\n return sum(items)\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "7b02a617eebe49b179cee84c9b8347c6bebe382f42a2b199d92b3aa9ed844102", "started_at": "2026-06-30T00:33:17.834477+00:00", "latency_ms": 4036, "output": "根因：`iter([1,2,3])` 是一个迭代器，只能被消费一次。`sum(items)` 将其耗尽后，后续再读取（如再次调用 `list(items)`）会得到空列表。\n\n最小修复：改用可重复迭代的列表。\n\nFIX: `def summarize(items=[1, 2, 3]):`", "usage": {"prompt_tokens": 101, "completion_tokens": 77, "total_tokens": 178, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779570-ZEHpP8FKbEAbjx7CjkG5", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"pattern": "FIX:\\s*`?\\s*def\\s+summarize\\(items=None\\)\\s*:"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-002", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "defaultdict", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*counts\\s*=\\s*defaultdict\\(lambda\\s*:\\s*\\{'seen'\\s*:\\s*\\[\\]\\}\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望统计每个用户的事件数，但所有用户计数会互相影响。请指出根因，并给出最小修复。最后单独一行写 FIX: <修复后的 defaultdict 初始化行>。\n\n```python\nfrom collections import defaultdict\nshared = {'seen': []}\ncounts = defaultdict(lambda: shared)\n\ndef add(user, event):\n counts[user]['seen'].append(event)\n return counts[user]\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "fc1eb426cf811456432a61a306862f8bf804417edb8c8fca6dd3b86c1f9a9940", "started_at": "2026-06-30T00:33:21.874915+00:00", "latency_ms": 4477, "output": "**根因**：`defaultdict` 的 `default_factory` 返回的是同一个 `shared` 字典对象的引用。所有未显式赋值的键都指向同一个 `shared` 字典，因此一个用户的操作会影响所有用户。\n\n**修复**：让工厂函数每次返回一个独立的新字典。\n\nFIX: `counts = defaultdict(lambda: {'seen': []})`", "usage": {"prompt_tokens": 123, "completion_tokens": 82, "total_tokens": 205, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779574-UMIbY6afwfyq60KDKrfd", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*counts\\s*=\\s*defaultdict\\(lambda\\s*:\\s*\\{'seen'\\s*:\\s*\\[\\]\\}\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-003", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "off-by-one", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*for\\s+start\\s+in\\s+range\\(0,\\s*len\\(items\\),\\s*page_size\\)\\s*:", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面分页代码会漏掉最后不足 page_size 的一页。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 range 行>。\n\n```python\ndef pages(items, page_size):\n out = []\n for start in range(0, len(items) - page_size, page_size):\n out.append(items[start:start + page_size])\n return out\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c6fe209d60968a3b2d253a065c8ce8255865f73575665a685d957cb52ce82011", "started_at": "2026-06-30T00:33:26.354683+00:00", "latency_ms": 6494, "output": "**Bug 分析：**\n\n`range(0, len(items) - page_size, page_size)` 的上界是 `len(items) - page_size`，这意味着当剩余元素不足 `page_size` 时，循环已经停止，最后一页被遗漏。\n\n例如：`items` 长度为 10，`page_size` 为 3，则 `range(0, 7, 3)` 只产生 `[0, 3, 6]`，第 7~9 个元素（最后一页）被漏掉。\n\n**修复：** 上界应改为 `len(items)`，让 range 覆盖到最后一个起始位置。\n\nFIX: `for start in range(0, len(items), page_size):`", "usage": {"prompt_tokens": 122, "completion_tokens": 160, "total_tokens": 282, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779579-YRwtUfJx4p4YLWaKICwi", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*for\\s+start\\s+in\\s+range\\(0,\\s*len\\(items\\),\\s*page_size\\)\\s*:"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-004", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "sorting", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*return\\s+sorted\\(ids,\\s*key\\s*=\\s*int\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望把数字字符串按数值排序，但结果是字典序。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 return 行>。\n\n```python\ndef order(ids):\n return sorted(ids)\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "b3f10943f43eaa04524058b0dd7fb30cbd21740003559e79de619ae210a697e4", "started_at": "2026-06-30T00:33:32.851984+00:00", "latency_ms": 3028, "output": "`sorted(ids)` 对字符串列表按字典序排序，而非数值序。修复：用 `key=int` 将字符串转为整数比较。\n\nFIX: `return sorted(ids, key=int)`", "usage": {"prompt_tokens": 91, "completion_tokens": 45, "total_tokens": 136, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779585-pR9DfMgklsbTHVnZQ7lj", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*return\\s+sorted\\(ids,\\s*key\\s*=\\s*int\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-005", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "memoization", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*key\\s*=\\s*\\(fn\\.__name__,\\s*args,\\s*(?:tuple\\(sorted\\(kwargs\\.items\\(\\)\\)\\)|frozenset\\(kwargs\\.items\\(\\)\\))\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面缓存装饰器会把不同参数的调用混在一起。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 key 赋值行>。\n\n```python\ncache = {}\ndef memo(fn):\n def wrapper(*args, **kwargs):\n key = fn.__name__\n if key not in cache:\n cache[key] = fn(*args, **kwargs)\n return cache[key]\n return wrapper\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "fdaf2df9bffeacf442086f01d24eb1fce336e874cebec386f24acd9175c42fc6", "started_at": "2026-06-30T00:33:35.881773+00:00", "latency_ms": 38253, "output": "**Bug**：`key` 只用了 `fn.__name__`，没有包含 `args` 和 `kwargs`，导致不同参数的调用返回同一个缓存值。\n\n**最小修复**：将 `key` 改为包含参数信息。\n\nFIX: `key = (fn.__name__, args, tuple(sorted(kwargs.items())))`", "usage": {"prompt_tokens": 128, "completion_tokens": 74, "total_tokens": 202, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779588-yNqVaLLxyrJ1pUt00LDE", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*key\\s*=\\s*\\(fn\\.__name__,\\s*args,\\s*(?:tuple\\(sorted\\(kwargs\\.items\\(\\)\\)\\)|frozenset\\(kwargs\\.items\\(\\)\\))\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-006", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "aliasing", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*copied\\s*=\\s*(?:items\\.copy\\(\\)|items\\[:\\]|list\\(items\\))\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望浅拷贝列表后独立追加，但原列表也被修改。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 copy 行>。\n\n```python\ndef append_copy(items, value):\n copied = items\n copied.append(value)\n return copied\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "d79d9daa2c034ff1badc1d0951de62e17f2421bac20433e520a48c2992cae000", "started_at": "2026-06-30T00:34:14.140705+00:00", "latency_ms": 5851, "output": "**Bug**: `copied = items` 只是让 `copied` 指向同一个列表对象，并非拷贝，因此 `copied.append()` 会直接修改原列表。\n\n**修复**: 使用 `items.copy()`（或 `items[:]`）进行浅拷贝。\n\nFIX: `copied = items.copy()`", "usage": {"prompt_tokens": 102, "completion_tokens": 70, "total_tokens": 172, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779627-oVn0o88XCW7kIuquh9mu", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*copied\\s*=\\s*(?:items\\.copy\\(\\)|items\\[:\\]|list\\(items\\))\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-007", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "json", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*data\\s*=\\s*(payload\\s+if\\s+isinstance\\(payload,\\s*dict\\)\\s+else\\s+json\\.loads\\(payload\\)|json\\.loads\\(payload\\)\\s+if\\s+isinstance\\(payload,\\s*\\(str,\\s*bytes,\\s*bytearray\\)\\)\\s+else\\s+payload|json\\.loads\\(payload\\)\\s+if\\s+isinstance\\(payload,\\s*str\\)\\s+else\\s+payload)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望解析 JSON 字符串，但传入已经是 dict 时会报错。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 data 赋值行>。\n\n```python\nimport json\n\ndef load(payload):\n data = json.loads(payload)\n return data['id']\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "dae0481dbfca35623cf6eaf5f44910cc59204edc238411f6ec1221586215b6a3", "started_at": "2026-06-30T00:34:19.994836+00:00", "latency_ms": 4981, "output": "**Bug**: `json.loads()` 要求传入字符串，当 `payload` 已经是 `dict` 时会抛出 `TypeError`。\n\n**修复**: 先判断类型，仅对字符串调用 `json.loads()`。\n\n```python\nimport json\n\ndef load(payload):\n data = json.loads(payload) if isinstance(payload, str) else payload\n return data['id']\n```\n\nFIX: `data = json.loads(payload) if isinstance(payload, str) else payload`", "usage": {"prompt_tokens": 102, "completion_tokens": 99, "total_tokens": 201, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779632-vSa0kwllkzKorvURFzRD", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*data\\s*=\\s*(payload\\s+if\\s+isinstance\\(payload,\\s*dict\\)\\s+else\\s+json\\.loads\\(payload\\)|json\\.loads\\(payload\\)\\s+if\\s+isinstance\\(payload,\\s*\\(str,\\s*bytes,\\s*bytearray\\)\\)\\s+else\\s+payload|json\\.loads\\(payload\\)\\s+if\\s+isinstance\\(payload,\\s*str\\)\\s+else\\s+payload)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-008", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "finally", "debugging"], "scorer": "contains_any", "expected": {"answers": ["删除 finally 中的 return None", "去掉 finally 的 return None", "不要在 finally 里 return None", "remove return None", "去掉 finally 中的 return None", "删除或替换 finally 中的 return None", "去掉 finally 中的 `return None`", "删除或替换 finally 中的 `return None`", "删除 finally 块中的 `return None`", "删除 finally 块中的 return None", "删除 finally 中的 `return None`", "删除 `finally` 块中的 `return None`", "删除 `finally` 中的 `return None`", "删除 `finally: return None`", "将 `finally:` 中的 `return None` 删除", "finally 中的 return None 删除", "finally: 中的 return None 删除", "删除 finally 块中的 'return None'", "删除 finally 子句中的 `return None`", "删除 finally 子句中的 return None", "delete the line `return None` inside the finally block", "delete the line return None inside the finally block", "finally 块不应包含 return 语句", "finally 块不应包含 return", "finally 不应包含 return"]}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望 finally 后仍保留 try 中返回值，但实际总是返回 None。请指出 bug，并给出最小修复。最后单独一行写 FIX: <要删除或替换的 finally 行说明>。\n\n```python\ndef read_value():\n try:\n return 42\n finally:\n return None\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "3cc6ae8fe4f15528225f040b759f5535e31e0ee3dab226c836ed3b9c19707a57", "started_at": "2026-06-30T00:34:24.979555+00:00", "latency_ms": 7877, "output": "**Bug 原因：** `finally` 块中的 `return` 会覆盖 `try` 块中的返回值。Python 中 `finally` 中的 `return` 语句会静默吞掉 `try` 中已确定的返回值。\n\n**最小修复：** 删除 `finally` 中的 `return None`。\n\nFIX: 删除 `finally` 块中的 `return None` 行（或整个 `finally` 块）", "usage": {"prompt_tokens": 109, "completion_tokens": 100, "total_tokens": 209, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779638-V5ibysGAe9lPtXAL6hJT", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"matched": ["删除 `finally` 块中的 `return None`", "删除 `finally` 中的 `return None`"]}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-001", "suite": "reasoning", "case_version": "0.2.0", "tags": ["arithmetic", "multi-step"], "scorer": "exact", "expected": {"answer": "125", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：有 A、B、C、D 四个服务。A 每分钟处理 6 个请求，B 比 A 少 2 个，C 是 B 的 2 倍，D 是 A 和 C 的平均值。四个服务 5 分钟一共处理多少请求？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "06f9a3eb3666e5854b2b742553674373622a42e326be166231a39c67b5604810", "started_at": "2026-06-30T00:34:32.858559+00:00", "latency_ms": 2474, "output": "170", "usage": {"prompt_tokens": 108, "completion_tokens": 4, "total_tokens": 112, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779645-vcVRL5mOoUcCDJ5eeCs7", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "125", "actual": "170"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-002", "suite": "reasoning", "case_version": "0.2.0", "tags": ["constraint-solving"], "scorer": "exact", "expected": {"answer": "D", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答一个字母：五个任务 A、B、C、D、E 排队。A 必须在 B 前，B 必须在 C 前；D 不能在两端；E 必须紧挨在 C 后面。在所有满足条件的队列中，按字典序最小的队列第三个任务是谁？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e273e5a0cd57aef19af9e4ccfcd445a7523180f5cab62526c14aa0e62d5c1cc9", "started_at": "2026-06-30T00:34:35.334878+00:00", "latency_ms": 1822, "output": "B", "usage": {"prompt_tokens": 100, "completion_tokens": 2, "total_tokens": 102, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779648-v2vWBgEjQYAdp4KWDBBv", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "D", "actual": "B"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-003", "suite": "reasoning", "case_version": "0.2.0", "tags": ["binary", "symbolic"], "scorer": "exact", "expected": {"answer": "0", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：一个 4 位二进制数从 1011 开始，先左移一位并只保留低 4 位，再与 0110 做异或，最后转成十进制。结果是多少？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "813f5aead205f4aa7a9d2a1e7b7085daae002a54592edd8d8aad2e7d7551897c", "started_at": "2026-06-30T00:34:37.158240+00:00", "latency_ms": 2694, "output": "4", "usage": {"prompt_tokens": 92, "completion_tokens": 2, "total_tokens": 94, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779649-ErWpYQHRhJlX72GZh434", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "0", "actual": "4"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-004", "suite": "reasoning", "case_version": "0.2.0", "tags": ["set", "operations"], "scorer": "exact", "expected": {"answer": "18", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：一个集合最初为 {1,2,3,4,5}。依次执行：删除所有偶数；加入 6 和 7；把每个元素乘以 2；删除大于 10 的元素。最终集合元素之和是多少？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "3077e41c160e4ebe361234b76e647f42583619ef446b73e7c1e25858312f328e", "started_at": "2026-06-30T00:34:39.853738+00:00", "latency_ms": 2538, "output": "12", "usage": {"prompt_tokens": 95, "completion_tokens": 3, "total_tokens": 98, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779652-M4uaUZjandGZCJbOmPjJ", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "18", "actual": "12"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-005", "suite": "reasoning", "case_version": "0.2.0", "tags": ["logic", "sat"], "scorer": "exact", "expected": {"answer": "可满足", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答“可满足”或“不可满足”：有三个布尔变量 x、y、z。约束为：x 或 y 为真；如果 x 为真则 z 为假；如果 y 为真则 z 为真；x 和 y 不能同时为真。是否存在赋值满足全部约束？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "1e534bd21af5e75f0c9fd61e3d5a3f660355d4555e34e16a06744234da47e006", "started_at": "2026-06-30T00:34:42.394581+00:00", "latency_ms": 2955, "output": "可满足", "usage": {"prompt_tokens": 105, "completion_tokens": 2, "total_tokens": 107, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779655-gdM3pKdShcQE37IbQub3", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"expected": "可满足", "actual": "可满足"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-001", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "grounded"], "scorer": "text_rules", "expected": {"required": ["人工抽检"], "required_any": [["默认使用", "默认判分", "默认采用", "作为默认判分"]], "forbidden": ["因为成本太高", "因为不支持中文"], "max_chars": 160}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料 A：DracoBench v0.2 的目标是提高区分度，优先增加 coding、debugging、RAG 和 instruction_following 题。\n资料 B：DracoBench v0.2 不会默认使用 LLM-as-judge；开放中文写作题只做少量规则校验和人工抽检。\n资料 C：v0.2 的 HTML 报告必须展示通过率、成本、reasoning tokens、失败样例和逐题明细。\n\n问题：v0.2 为什么没有把 LLM-as-judge 作为默认判分？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "7a40b395b42a59b621957d70755d39fca26dba23f4e0c46743018935350319d3", "started_at": "2026-06-30T00:34:45.351145+00:00", "latency_ms": 4169, "output": "资料 B 明确指出：v0.2 不会默认使用 LLM-as-judge。", "usage": {"prompt_tokens": 164, "completion_tokens": 21, "total_tokens": 185, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779658-Wrpz35QY6Q9uM0bCxAGn", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": ["人工抽检"], "missing_any": [], "present_forbidden": [], "char_count": 35, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-002", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "tradeoff", "abstain"], "scorer": "text_rules", "expected": {"required": ["Beta", "成本", "延迟", "判断"], "forbidden": ["Alpha 更适合", "多模态更强"], "max_chars": 180}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答，不要自行补充。\n\n资料：模型 Alpha 在 30 道 challenge 题中通过 24 道，成本 0.08 美元，平均延迟 9 秒。模型 Beta 通过 22 道，成本 0.02 美元，平均延迟 3 秒。资料没有给出两者在多模态任务上的表现。\n\n问题：如果要写低成本高吞吐摘要服务，资料更支持选择哪个模型？另外，多模态表现能否判断？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "b25dfce277314b219ab8ccef6f02fb644e23cd169765867993ae58ccd7258c4a", "started_at": "2026-06-30T00:34:49.522515+00:00", "latency_ms": 2908, "output": "根据资料，模型 Beta 成本更低（0.02 美元 vs 0.08 美元）、延迟更短（3 秒 vs 9 秒），更适合低成本高吞吐摘要服务。多模态表现资料未给出，无法判断。", "usage": {"prompt_tokens": 147, "completion_tokens": 55, "total_tokens": 202, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779662-mXhHDJjuUcZ200LWqLD6", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 85, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-003", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "nuance"], "scorer": "text_rules", "expected": {"required": ["题面歧义"], "required_any": [["47/50", "47 题", "47题"], ["空输出", "输出为空", "未输出"]], "forbidden": ["满分", "完全失败"], "max_chars": 240}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：一次评测中，K 模型在 smoke set 上 7/7，通过率 100%；在 hard set 上原始结果 47/50，其中 2 题后来被认定为题面歧义，单独复测通过。另有 1 题因 reasoning tokens 用尽而空输出。\n\n问题：更公平的文字结论应该如何描述 K 模型这次 hard set 表现？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "12db30955792c48368632f01aa0a9c06e9fc27004c4dbf12ce602cb8488494e6", "started_at": "2026-06-30T00:34:52.432878+00:00", "latency_ms": 3270, "output": "K 模型在 hard set 上原始通过 47/50，其中 2 题因题面歧义经单独复测后通过，最终有效通过率为 48/49（约 98%）。", "usage": {"prompt_tokens": 134, "completion_tokens": 52, "total_tokens": 186, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779665-dl1ymGPL2agBAxF2NN2A", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": [], "missing_any": [["空输出", "输出为空", "未输出"]], "present_forbidden": [], "char_count": 69, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-004", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "abstain"], "scorer": "text_rules", "expected": {"required": ["不能", "不包含", "利润率"], "forbidden": ["可以判断", "训练数据"], "max_chars": 100}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答，不要使用资料外知识。\n\n资料：报告字段包括 pass_rate、avg_latency_ms、total_cost、prompt_tokens、completion_tokens、reasoning_tokens。报告不包含模型训练数据来源，也不包含供应商真实利润率。\n\n问题：根据资料，能否从报告判断供应商利润率？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "cb2d9baeb98b0b4836972058965359b461f03aaba6cd096f40ffc813ce331880", "started_at": "2026-06-30T00:34:55.704803+00:00", "latency_ms": 8989, "output": "不能。资料已明确说明报告不包含供应商真实利润率。", "usage": {"prompt_tokens": 99, "completion_tokens": 13, "total_tokens": 112, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779668-niwD34x6b4BIfjzArDkb", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 24, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-001", "suite": "instruction_following", "case_version": "0.2.0", "tags": ["json", "nested"], "scorer": "json_schema_lite", "expected": {"schema": {"type": "object", "required": ["status", "scores", "note"], "additionalProperties": false, "properties": {"status": {"type": "string", "const": "review"}, "scores": {"type": "object", "required": ["coding", "debugging", "rag"], "additionalProperties": false, "properties": {"coding": {"type": "integer"}, "debugging": {"type": "integer"}, "rag": {"type": "integer"}}}, "note": {"type": "string"}}}}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 JSON 对象，不要 Markdown。字段 status 必须是 \"review\"；字段 scores 必须是对象，包含 coding、debugging、rag 三个整数；字段 note 必须是不超过 12 个汉字的中文字符串。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "7f670ae329c67bf1957a977815256b403ae7965cb15f2d2db520256cc3f2eb77", "started_at": "2026-06-30T00:35:04.695349+00:00", "latency_ms": 2576, "output": "{\"status\": \"review\", \"scores\": {\"coding\": 0, \"debugging\": 0, \"rag\": 0}, \"note\": \"待评估\"}", "usage": {"prompt_tokens": 87, "completion_tokens": 36, "total_tokens": 123, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779677-cfRdhg2uEbufpTaYBBUx", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"errors": [], "value": {"status": "review", "scores": {"coding": 0, "debugging": 0, "rag": 0}, "note": "待评估"}}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-002", "suite": "instruction_following", "case_version": "0.2.0", "tags": ["format", "line-control"], "scorer": "regex", "expected": {"pattern": "^\\s*BEGIN\\s*\\n[^\\n]*模型评测[^\\n]*\\n[^\\n]*HTML报告[^\\n]*\\nEND\\s*$", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 4 行，不要解释。第 1 行是 BEGIN，第 4 行是 END。第 2 行必须包含“模型评测”，第 3 行必须包含“HTML报告”。不能出现任何项目符号。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "773b2e7398be979e738e08c3c8486ca69bae0f71d9a2abe3430cef775f5a59fb", "started_at": "2026-06-30T00:35:07.272447+00:00", "latency_ms": 2920, "output": "BEGIN\n模型评测\nHTML报告\nEND", "usage": {"prompt_tokens": 91, "completion_tokens": 10, "total_tokens": 101, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779680-y82c0sh6ZNXsC8epjWBV", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "^\\s*BEGIN\\s*\\n[^\\n]*模型评测[^\\n]*\\n[^\\n]*HTML报告[^\\n]*\\nEND\\s*$"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-003", "suite": "instruction_following", "case_version": "0.2.0", "tags": ["constraint", "zh"], "scorer": "text_rules", "expected": {"required": ["难题", "区分度"], "forbidden": ["最强", "吊打", "遥遥领先"], "max_chars": 28}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出一个中文句子，不能超过 28 个汉字。必须同时包含“难题”和“区分度”，不能包含“最强”“吊打”“遥遥领先”。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "63d393d3332e09c8d34bfa5fceb4812734bf76c2333f7e6d1585cf977944f0db", "started_at": "2026-06-30T00:35:10.194831+00:00", "latency_ms": 2123, "output": "这道难题的区分度很高，能有效检验学生的真实水平。", "usage": {"prompt_tokens": 73, "completion_tokens": 14, "total_tokens": 87, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779682-8mwopT146L4HiWriOfBO", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 24, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-zh-writing-001", "suite": "chinese_writing", "case_version": "0.2.0", "tags": ["wechat", "conclusion"], "scorer": "text_rules", "expected": {"required": ["简单题", "真实能力", "失败样例"], "forbidden": ["吊打"], "max_chars": 120}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "写一段不超过 120 个汉字的公众号结论，主题是“模型在简单题满分不代表真实强”。必须包含“简单题”“真实能力”“失败样例”，不能出现“吊打”。", "parameters": {"temperature": 0.2, "max_tokens": 16384, "seed": null}, "prompt_hash": "f330d4a7913b830c15df0d2a36cf0a9e5c07628ef6fa52408cc1bd2e90074762", "started_at": "2026-06-30T00:35:12.319824+00:00", "latency_ms": 7468, "output": "**【结论】**\n\n模型在简单题拿满分，并不等于真实能力过硬。简单题往往套路固定、答案明确，容易通过刷题记忆拿分，却难以反映推理深度。真正检验真实能力的是复杂、开放、需要多步推理的任务。部分模型在简单题全对，却在稍加变式的失败样例中暴露逻辑短板。评价模型，不能只看简单题得分，更要关注失败样例背后的真实能力边界。", "usage": {"prompt_tokens": 81, "completion_tokens": 97, "total_tokens": 178, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779685-v6FIkj1wqtRHhz2gDTfD", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 156, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-zh-writing-002", "suite": "chinese_writing", "case_version": "0.2.0", "tags": ["rewrite", "zh"], "scorer": "text_rules", "expected": {"required": ["复杂调试", "稳定性"], "forbidden": ["猛", "掉链子"], "max_chars": 80}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "把下面口语句改写成专业表达，不超过 80 个汉字：这个模型看起来很猛，但一遇到复杂调试就开始掉链子。必须包含“复杂调试”和“稳定性”，不能包含“猛”“掉链子”。", "parameters": {"temperature": 0.2, "max_tokens": 16384, "seed": null}, "prompt_hash": "1628d5e9cbea22d0750b547f0818eafa82d503dcad8fdc41ef2f523f9fbb55a1", "started_at": "2026-06-30T00:35:19.790502+00:00", "latency_ms": 2934, "output": "该模型整体表现优异，但在复杂调试场景下其稳定性仍有不足。", "usage": {"prompt_tokens": 88, "completion_tokens": 17, "total_tokens": 105, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779692-1M51pmJhjEg9EEEfQWBL", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 28, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-009", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "aggregation", "dirty-input"], "scorer": "code_python_tests", "expected": {"tests": ["events=[{'user':'b','type':'add','amount':'5'},{'user':'a','type':'add','amount':3},{'user':'b','type':'remove','amount':2},{'user':'a','type':'remove','amount':3}]\nassert solution.solve(events) == {'b': 3}", "assert solution.solve([]) == {}", "assert solution.solve([{'user':'x','type':'remove','amount':'2'}]) == {'x': -2}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(events: list[dict]) -> dict[str, int]。每个事件包含 user、type、amount；type 为 \"add\" 或 \"remove\"。按 user 汇总 add 减 remove 后的库存，结果中去掉库存为 0 的用户，按 key 字典序返回普通 dict。amount 可能是字符串数字。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "9b81c7f8e34dbf12cfabd35ebb618802fe09200deca1d146558b4e1c12e6fd1e", "started_at": "2026-06-30T00:35:22.725598+00:00", "latency_ms": 4360, "output": "```python\ndef solve(events: list[dict]) -> dict[str, int]:\n from collections import defaultdict\n inventory = defaultdict(int)\n for event in events:\n user = event[\"user\"]\n amount = int(event[\"amount\"])\n if event[\"type\"] == \"add\":\n inventory[user] += amount\n elif event[\"type\"] == \"remove\":\n inventory[user] -= amount\n return {k: v for k, v in sorted(inventory.items()) if v != 0}\n```", "usage": {"prompt_tokens": 119, "completion_tokens": 108, "total_tokens": 227, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779695-Eez7F3VmbSuItNqgMg2D", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-010", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "parser", "expression"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('1 + 2 - 3') == 0", "assert solution.solve('10 - (2 + 3) + 4') == 9", "assert solution.solve('(1+(4+5+2)-3)+(6+8)') == 23"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(expr: str) -> int。expr 只包含非负整数、+、-、空格和括号，计算表达式结果。不要使用 eval。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "662cadd9b4e3fdcfdf38e1d7338201fe3049d948576c89303695cff58950b3b4", "started_at": "2026-06-30T00:35:27.142710+00:00", "latency_ms": 7552, "output": "```python\ndef solve(expr: str) -> int:\n def helper(s, i):\n stack = []\n num = 0\n sign = 1\n while i < len(s):\n c = s[i]\n if c.isdigit():\n num = num * 10 + int(c)\n i += 1\n elif c == '+':\n stack.append(sign * num)\n num = 0\n sign = 1\n i += 1\n elif c == '-':\n stack.append(sign * num)\n num = 0\n sign = -1\n i += 1\n elif c == '(':\n num, i = helper(s, i + 1)\n elif c == ')':\n stack.append(sign * num)\n return sum(stack), i + 1\n elif c == ' ':\n i += 1\n else:\n i += 1\n stack.append(sign * num)\n return sum(stack), i\n \n result, _ = helper(expr, 0)\n return result\n```", "usage": {"prompt_tokens": 79, "completion_tokens": 229, "total_tokens": 308, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779700-ozL2luw8YcYihoOjQBrN", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-011", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "sorting", "dedupe"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve(['alice 10','bob 12','alice 15','','bob 11']) == [('alice',15),('bob',12)]", "assert solution.solve(['x -1','a -1','b 0']) == [('b',0),('a',-1),('x',-1)]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(rows: list[str]) -> list[tuple[str, int]]。每行格式为 \"name score\"，空白数量不定；同名保留最高分；输出按分数降序、同分按 name 升序。忽略空行。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "332bccf5652506856c633d7093431279279a22b2d3a99762f6cba55df7d884af", "started_at": "2026-06-30T00:35:34.737382+00:00", "latency_ms": 5415, "output": "```python\ndef solve(rows: list[str]) -> list[tuple[str, int]]:\n scores = {}\n for row in rows:\n row = row.strip()\n if not row:\n continue\n parts = row.split()\n name = parts[0]\n score = int(parts[1])\n if name not in scores or score > scores[name]:\n scores[name] = score\n result = sorted(scores.items(), key=lambda x: (-x[1], x[0]))\n return result\n```", "usage": {"prompt_tokens": 98, "completion_tokens": 108, "total_tokens": 206, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779707-UQQ3Xpquql1HbmMmYs8e", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-012", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "wildcard", "dp"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('a*b?d', 'axxxbc d'.replace(' ','')) is True", "assert solution.solve('a*c', 'ab') is False", "assert solution.solve('*', '') is True", "assert solution.solve('file-??.txt', 'file-ab.txt') is True"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(pattern: str, text: str) -> bool。pattern 支持 ? 匹配任意单字符，* 匹配任意长度字符串。必须匹配完整 text。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "0ac24584e5856726a6e962c43819ac539910b115bdabb48f973f04258dd562d6", "started_at": "2026-06-30T00:35:40.190543+00:00", "latency_ms": 5371, "output": "```python\ndef solve(pattern: str, text: str) -> bool:\n m, n = len(pattern), len(text)\n dp = [[False] * (n + 1) for _ in range(m + 1)]\n dp[0][0] = True\n \n for i in range(1, m + 1):\n if pattern[i - 1] == '*':\n dp[i][0] = dp[i - 1][0]\n \n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if pattern[i - 1] == '*':\n dp[i][j] = dp[i - 1][j] or dp[i][j - 1]\n elif pattern[i - 1] == '?' or pattern[i - 1] == text[j - 1]:\n dp[i][j] = dp[i - 1][j - 1]\n \n return dp[m][n]\n```", "usage": {"prompt_tokens": 81, "completion_tokens": 213, "total_tokens": 294, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779713-61PtpOsKhoVZvp3nh4j2", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-013", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "recursion", "flatten"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve({'a': {'b': 1, 'c': 'x'}, 'd': 2}) == ['a.b=1','a.c=x','d=2']", "assert solution.solve({'z': {'a': {'b': 3}}}) == ['z.a.b=3']", "assert solution.solve({}) == []"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(tree: dict) -> list[str]。tree 是嵌套字典，叶子是字符串或数字。返回所有叶子的路径，路径用点连接，按字典序排序。例如 {'a': {'b': 1}} -> ['a.b=1']。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e658784bcc7118c9f5e1375c7f1f92aa8147c38fb8790138603de7f2b3722c98", "started_at": "2026-06-30T00:35:45.597119+00:00", "latency_ms": 3766, "output": "```python\ndef solve(tree: dict) -> list[str]:\n def dfs(node, prefix, result):\n if isinstance(node, dict):\n for key in sorted(node.keys()):\n new_prefix = f\"{prefix}.{key}\" if prefix else key\n dfs(node[key], new_prefix, result)\n else:\n result.append(f\"{prefix}={node}\")\n \n result = []\n dfs(tree, \"\", result)\n return sorted(result)\n```", "usage": {"prompt_tokens": 104, "completion_tokens": 93, "total_tokens": 197, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779718-d26qGezmNc7Y3MPtN2HR", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-014", "suite": "coding", "case_version": "0.2.0", "tags": ["python", "dynamic-programming"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve([1,-2,0,3]) == 4", "assert solution.solve([1,-2,-2,3]) == 3", "assert solution.solve([-1,-1,-1]) == -1", "assert solution.solve([2,1,-2,3]) == 6"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(nums: list[int]) -> int。返回删除恰好一个元素后，剩余数组的最大连续子数组和。nums 长度至少为 2，可以全为负数。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "a7a5de11dacd1864c7d44a3ce983c2f127d1bcff88bec3b15f8727c513f56ea2", "started_at": "2026-06-30T00:35:49.398978+00:00", "latency_ms": 9763, "output": "```python\ndef solve(nums: list[int]) -> int:\n n = len(nums)\n if n == 1:\n return nums[0]\n \n # forward[i] = max subarray sum ending at i (no deletion)\n forward = [0] * n\n forward[0] = nums[0]\n for i in range(1, n):\n forward[i] = max(nums[i], forward[i-1] + nums[i])\n \n # backward[i] = max subarray sum starting at i (no deletion)\n backward = [0] * n\n backward[-1] = nums[-1]\n for i in range(n-2, -1, -1):\n backward[i] = max(nums[i], backward[i+1] + nums[i])\n \n # max subarray sum without any deletion\n ans = max(forward)\n \n # try deleting nums[i] for each i from 1 to n-2\n for i in range(1, n-1):\n ans = max(ans, forward[i-1] + backward[i+1])\n \n return ans\n```", "usage": {"prompt_tokens": 86, "completion_tokens": 245, "total_tokens": 331, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779722-J5MKIZOvYFcoctO2FeJK", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-009", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "parsing", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*return\\s+\\[part\\.strip\\(\\)\\s+for\\s+part\\s+in\\s+s\\.split\\('\\,'\\)\\s+if\\s+part\\.strip\\(\\)\\]\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望把输入按逗号拆分并去掉空白，但会把空字段也保留下来。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 return 行>。\n\n```python\ndef parse(s):\n return [part.strip() for part in s.split(',')]\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "fc78c43e70a6a2fe59904be00b93d579300af6ba72fe5a9629bfe5bd82fad3d6", "started_at": "2026-06-30T00:35:59.201491+00:00", "latency_ms": 3678, "output": "**Bug**: 列表推导式没有过滤空字符串，导致 `\",,\"` 会产生 `['', '']` 这样的空字段。\n\n**修复**: 在推导式中加入 `if part.strip()` 条件过滤空字段。\n\nFIX: `return [part.strip() for part in s.split(',') if part.strip()]`", "usage": {"prompt_tokens": 103, "completion_tokens": 72, "total_tokens": 175, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779732-Zv6EYAvc0Hm7SEagiGOO", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*return\\s+\\[part\\.strip\\(\\)\\s+for\\s+part\\s+in\\s+s\\.split\\('\\,'\\)\\s+if\\s+part\\.strip\\(\\)\\]\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-010", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "datetime", "debugging"], "scorer": "contains_any", "expected": {"answers": ["datetime.fromisoformat", "dateutil.parser", "解析 ts 后排序", "parse ts", "fromisoformat", "int(r['ts'])", "float(r['ts'])", "key=lambda r: int(r['ts'])", "key=lambda r: float(r['ts'])"]}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望用 UTC 时间戳排序，但字符串排序会错。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 sort 行>。\n\n```python\nrows.sort(key=lambda r: r['ts'])\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c0d491a68f215902d8b314423a6ab9aea7ac0782e1a34e6d6997670c2ddb8458", "started_at": "2026-06-30T00:36:02.881772+00:00", "latency_ms": 3338, "output": "Bug：`r['ts']` 是字符串，按字典序排序，而非数值序。\n\n最小修复：转为浮点数再排序。\n\nFIX: `rows.sort(key=lambda r: float(r['ts']))`", "usage": {"prompt_tokens": 91, "completion_tokens": 48, "total_tokens": 139, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779735-XIwRLZNgCVKq094jinSE", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"matched": ["float(r['ts'])", "key=lambda r: float(r['ts'])"]}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-011", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "truthiness", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*(?:limit\\s*=\\s*10\\s+if\\s+limit\\s+is\\s+None\\s+else\\s+limit|limit\\s*=\\s*limit\\s+if\\s+limit\\s+is\\s+not\\s+None\\s+else\\s+10|if\\s+limit\\s+is\\s+None\\s*:\\s*limit\\s*=\\s*10)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码在输入包含 0 时会误判为默认值 10。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 limit 赋值行>。\n\n```python\ndef query(limit=None):\n limit = limit or 10\n return list(range(limit))\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "81dfcde4613fe16d52b7386d005b50beaafcb9916e6cb6c0d326eab3c808a843", "started_at": "2026-06-30T00:36:06.222960+00:00", "latency_ms": 3617, "output": "**Bug**: `limit or 10` 在 `limit` 为 `0` 时，`0` 为 falsy，会回退为 `10`。\n\n**修复**: 显式判断 `None`。\n\nFIX: `limit = limit if limit is not None else 10`", "usage": {"prompt_tokens": 106, "completion_tokens": 70, "total_tokens": 176, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779739-bV62JzdsOMRCciKVzvZH", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*(?:limit\\s*=\\s*10\\s+if\\s+limit\\s+is\\s+None\\s+else\\s+limit|limit\\s*=\\s*limit\\s+if\\s+limit\\s+is\\s+not\\s+None\\s+else\\s+10|if\\s+limit\\s+is\\s+None\\s*:\\s*limit\\s*=\\s*10)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-012", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "deepcopy", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*copied\\s*=\\s*(?:copy\\.deepcopy\\(config\\)|__import__\\(['\\\"]copy['\\\"]\\)\\.deepcopy\\(config\\))\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望复制嵌套配置后修改副本，但原配置也被修改。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 copied 赋值行>。\n\n```python\ndef update(config):\n copied = dict(config)\n copied['db']['host'] = 'localhost'\n return copied\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "b9ce1efc39e6db4861310a8b269b4f7a5f68b90016ca7ebbef71eb8b6b011913", "started_at": "2026-06-30T00:36:09.842232+00:00", "latency_ms": 3837, "output": "**Bug**: `dict(config)` 是浅拷贝，`copied['db']` 与原 `config['db']` 指向同一个字典对象，修改 `copied['db']` 会影响原配置。\n\n**修复**: 使用 `copy.deepcopy` 进行深拷贝。\n\n```python\nimport copy\ncopied = copy.deepcopy(config)\n```\n\nFIX: `copied = copy.deepcopy(config)`", "usage": {"prompt_tokens": 108, "completion_tokens": 87, "total_tokens": 195, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779742-4EI4Fzx8yKvnHKdGYQev", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*copied\\s*=\\s*(?:copy\\.deepcopy\\(config\\)|__import__\\(['\\\"]copy['\\\"]\\)\\.deepcopy\\(config\\))\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-013", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "generator", "debugging"], "scorer": "regex", "expected": {"pattern": "\\*{0,2}FIX\\*{0,2}:\\*{0,2}\\s*`?\\s*return\\s+next\\(\\(u\\s+for\\s+u\\s+in\\s+users\\s+if\\s+u\\['name'\\]\\s*==\\s*name\\),\\s*None\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望找到第一个匹配项，但找不到时会抛 StopIteration。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 return 行>。\n\n```python\ndef find_user(users, name):\n return next(u for u in users if u['name'] == name)\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "3f10be3c52149f96743fe37c0fb7327abfb5c8d4b9310088d76b04282b552f5b", "started_at": "2026-06-30T00:36:13.683308+00:00", "latency_ms": 4009, "output": "**Bug:** `next()` 在生成器耗尽时抛出 `StopIteration`，未处理无匹配的情况。\n\n**修复:** 为 `next()` 提供默认值参数。\n\nFIX: `return next((u for u in users if u['name'] == name), None)`", "usage": {"prompt_tokens": 103, "completion_tokens": 62, "total_tokens": 165, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779746-CGEoiwwVOxJzkDSl3P3R", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "\\*{0,2}FIX\\*{0,2}:\\*{0,2}\\s*`?\\s*return\\s+next\\(\\(u\\s+for\\s+u\\s+in\\s+users\\s+if\\s+u\\['name'\\]\\s*==\\s*name\\),\\s*None\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-014", "suite": "debugging", "case_version": "0.2.0", "tags": ["python", "mutable-default", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*(?:```(?:python)?\\s*)?`?\\s*def\\s+log_request\\(req,\\s*logs=None\\)\\s*:", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望按请求顺序记录日志，但默认参数导致多次调用共用同一个列表。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的函数定义行>。\n\n```python\ndef log_request(req, logs=[]):\n logs.append(req['id'])\n return logs\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "2131fc867d62d7093265e77811a401805ff12d38e7bbdc5e8797b3d01b4c8c59", "started_at": "2026-06-30T00:36:17.694030+00:00", "latency_ms": 4263, "output": "**Bug 分析：** 默认参数 `logs=[]` 在函数定义时只创建一次，所有调用共享同一个列表对象。\n\n**最小修复：** 使用 `None` 作为默认值，在函数体内初始化新列表。\n\n```python\ndef log_request(req, logs=None):\n if logs is None:\n logs = []\n logs.append(req['id'])\n return logs\n```\n\nFIX: `def log_request(req, logs=None):`", "usage": {"prompt_tokens": 103, "completion_tokens": 99, "total_tokens": 202, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779750-3pfd2ogntvP45H1LH8tg", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*(?:```(?:python)?\\s*)?`?\\s*def\\s+log_request\\(req,\\s*logs=None\\)\\s*:"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-006", "suite": "reasoning", "case_version": "0.2.0", "tags": ["symbolic", "sequence"], "scorer": "exact", "expected": {"answer": "3", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：一个队列从左到右是 A,B,C,D,E。依次执行：把第 2 个移到末尾；删除第 3 个；在最前面插入 X；把最后两个反转。最终队列中 C 的位置是第几位？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "0defd3c3114d287777b39b65961dfa6fd7469da02e6c49a8c170b4f1be17f971", "started_at": "2026-06-30T00:36:21.959278+00:00", "latency_ms": 3034, "output": "5", "usage": {"prompt_tokens": 93, "completion_tokens": 2, "total_tokens": 95, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779754-zm1FFc8PnS1ewyCml8kX", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "3", "actual": "5"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-007", "suite": "reasoning", "case_version": "0.2.0", "tags": ["percentage", "metrics"], "scorer": "exact", "expected": {"answer": "120", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：某缓存命中率从 60% 提升到 75%。如果总请求数为 800，未命中请求减少了多少个？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "b5b568242a1b6c56d53db2d69addca2d25e472dcc9fb5aa8669dfa273609c0d4", "started_at": "2026-06-30T00:36:24.994587+00:00", "latency_ms": 5328, "output": "120", "usage": {"prompt_tokens": 72, "completion_tokens": 4, "total_tokens": 76, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779757-mQBVlUsoRa19e8NZoWFP", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"expected": "120", "actual": "120"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-005", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "mode-comparison"], "scorer": "text_rules", "expected": {"required": ["ability mode", "efficiency mode", "真实能力", "低预算"], "forbidden": ["只看一个模式"], "max_chars": 180}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：A 模型在 ability mode 中通过 46/50，成本 0.12 美元；在 efficiency mode 中通过 34/50，成本 0.04 美元。报告建议把 ability mode 用于能力判断，把 efficiency mode 用于成本和稳定性判断。\n\n问题：如果文章讨论“模型真实能力”，应该优先引用哪个模式？如果讨论“低预算可用性”，应该优先引用哪个模式？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "0265f7540e44005627e16c6995d2a9cb458be65bb560cd1d5646c0435265c4e3", "started_at": "2026-06-30T00:36:30.326209+00:00", "latency_ms": 3763, "output": "**模型真实能力**：优先引用 **ability mode**（46/50，报告明确建议用于能力判断）。\n\n**低预算可用性**：优先引用 **efficiency mode**（成本 0.04 美元，报告建议用于成本和稳定性判断）。", "usage": {"prompt_tokens": 141, "completion_tokens": 58, "total_tokens": 199, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779763-pXexRwWitRNTGpZpJQUT", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 118, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-006", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "failure-analysis"], "scorer": "text_rules", "expected": {"required": ["key"], "required_any": [["字符串", "类型不匹配"], ["整数", "int"], ["类型假设", "假设 key 为整数", "假设 key 是整数", "key 为整数类型"]], "forbidden": [], "max_chars": 120}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：一次失败分析显示，模型输出了 key = int(parts[1])，但测试数据里的 key 是字符串 a、b、c。报告认为这是“擅自补类型假设”，不是 token 截断。\n\n问题：这次失败的根因是什么？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "a49a29fca4961af6e5e2b25c2e82cc0a7be110d48893fc55f7af30f6e1804362", "started_at": "2026-06-30T00:36:34.092915+00:00", "latency_ms": 3219, "output": "模型错误地对 key 的数据类型进行了不恰当的假设，将字符串类型的 key 强制转换为整数，而实际测试数据中的 key 是字符串。", "usage": {"prompt_tokens": 99, "completion_tokens": 33, "total_tokens": 132, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779766-fBiSxgDUgvmWPHwKtJqj", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"manual_review_override": true, "original_score": {"passed": false, "score": 0.0, "details": {"missing": [], "missing_any": [["类型假设", "假设 key 为整数", "假设 key 是整数", "key 为整数类型"]], "present_forbidden": [], "char_count": 65, "length_ok": true, "length_scored": false}}, "reason": "人工复核通过：模型明确指出 key 是字符串、模型把 key 强制转换为整数，并说明这是对 key 数据类型的不恰当假设；原 text_rules 要求命中“类型假设/假设 key 为整数”等固定短语，未覆盖“对 key 的数据类型进行了不恰当的假设”这种等价表达。"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl", "original_score": {"passed": false, "score": 0.0, "details": {"missing": [], "missing_any": [["类型假设", "假设 key 为整数", "假设 key 是整数", "key 为整数类型"]], "present_forbidden": [], "char_count": 65, "length_ok": true, "length_scored": false}}} {"case_id": "challenge-rag-007", "suite": "rag_long_context", "case_version": "0.2.0", "tags": ["rag", "abstain"], "scorer": "text_rules", "expected": {"required": ["图表", "资料"], "required_any": [["提到", "提及"]], "forbidden": ["已经支持", "折线图", "柱状图"], "max_chars": 100}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答，不要自行补充。\n\n资料：DracoBench 的 HTML 报告目前展示 Summary、By Suite、Failure Examples 和 Case Details。Failure Examples 中包括 Prompt、Mistake Analysis、Scorer Details 和 Output。资料没有提到图表功能。\n\n问题：报告是否已经支持图表？回答时说明依据。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c47ee5e02396d5ba9d3852992bf82351aeea58cd22d81035d26a6bac283f07ba", "started_at": "2026-06-30T00:36:37.314335+00:00", "latency_ms": 3369, "output": "根据资料，报告**不支持图表**。\n\n**依据**：资料明确列出了 HTML 报告目前展示的四个部分为 Summary、By Suite、Failure Examples 和 Case Details，并特别指出\"资料没有提到图表功能\"。", "usage": {"prompt_tokens": 110, "completion_tokens": 49, "total_tokens": 159, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779770-o6DLD8LzrUbRHEMZIyXy", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 119, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-004", "suite": "instruction_following", "case_version": "0.2.0", "tags": ["json", "nested", "strict"], "scorer": "json_schema_lite", "expected": {"schema": {"type": "object", "required": ["mode", "limits", "warnings"], "additionalProperties": false, "properties": {"mode": {"type": "string", "const": "ability"}, "limits": {"type": "object", "required": ["max_tokens", "temperature"], "additionalProperties": false, "properties": {"max_tokens": {"type": "integer", "const": 4096}, "temperature": {"type": "integer", "const": 0}}}, "warnings": {"type": "array", "minItems": 2, "maxItems": 2, "items": {"type": "string"}}}}}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 JSON 对象。字段 mode 必须是 \"ability\"；字段 limits 必须是对象，包含 max_tokens:4096 和 temperature:0；字段 warnings 必须是正好两个字符串组成的数组。不要 Markdown。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "14a17039d4b99be719ac311a5d824ceb40affbf22079ddbcf8bf33af6f04fb0a", "started_at": "2026-06-30T00:36:40.684764+00:00", "latency_ms": 3605, "output": "{\"mode\": \"ability\", \"limits\": {\"max_tokens\": 4096, \"temperature\": 0}, \"warnings\": [\"This is a placeholder warning.\", \"This is another placeholder warning.\"]}", "usage": {"prompt_tokens": 84, "completion_tokens": 44, "total_tokens": 128, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779773-VUjIJpkJkH5ZcVbWcNia", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"errors": [], "value": {"mode": "ability", "limits": {"max_tokens": 4096, "temperature": 0}, "warnings": ["This is a placeholder warning.", "This is another placeholder warning."]}}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-005", "suite": "instruction_following", "case_version": "0.2.0", "tags": ["markdown", "table"], "scorer": "regex", "expected": {"pattern": "^\\s*\\|\\s*模式\\s*\\|\\s*用途\\s*\\|\\s*风险\\s*\\|\\s*\\n\\s*\\|\\s*-+\\s*\\|\\s*-+\\s*\\|\\s*-+\\s*\\|[\\s\\S]*ability mode[\\s\\S]*efficiency mode[\\s\\S]*$", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Markdown 表格，必须有 3 列：模式、用途、风险。必须包含 ability mode 和 efficiency mode 两行。不能添加表格外说明。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "0a28a65a8a714a5c613c2e01f5bf2b72b7b18cdd17059ad9d38cea38a6e1ff4f", "started_at": "2026-06-30T00:36:44.291629+00:00", "latency_ms": 5903, "output": "| 模式 | 用途 | 风险 |\n|---|---|---|\n| ability mode | 最大化模型能力，处理复杂推理、创意生成和深度分析任务 | 可能产生幻觉、过度自信输出、计算资源消耗较高 |\n| efficiency mode | 快速响应、低资源消耗，适用于简单查询和日常对话 | 可能牺牲回答深度、复杂任务处理能力有限、细节可能不足 |", "usage": {"prompt_tokens": 73, "completion_tokens": 82, "total_tokens": 155, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779777-4McoKiKJJ47RJ6GhNmfe", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "^\\s*\\|\\s*模式\\s*\\|\\s*用途\\s*\\|\\s*风险\\s*\\|\\s*\\n\\s*\\|\\s*-+\\s*\\|\\s*-+\\s*\\|\\s*-+\\s*\\|[\\s\\S]*ability mode[\\s\\S]*efficiency mode[\\s\\S]*$"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-zh-writing-003", "suite": "chinese_writing", "case_version": "0.2.0", "tags": ["wechat", "explanation"], "scorer": "text_rules", "expected": {"required": ["原题", "错误解释", "可复查"], "forbidden": ["玄学"], "max_chars": 140}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "写一段不超过 140 个汉字的公众号小结，主题是“为什么要同时展示原题、模型输出和错误解释”。必须包含“原题”“错误解释”“可复查”，不能出现“玄学”。", "parameters": {"temperature": 0.2, "max_tokens": 16384, "seed": null}, "prompt_hash": "f0853803e81259a7bee0074883cc95566fe68e7e6f9ce84b4c3bda73b8c0e638", "started_at": "2026-06-30T00:36:50.197338+00:00", "latency_ms": 22650, "output": "**为什么要同时展示原题、模型输出和错误解释**\n\n只展示答案无法判断对错，缺少原题就缺少对照基础。同时呈现原题、模型输出和错误解释，形成完整证据链，使结果可复查、可验证，便于定位问题并改进。", "usage": {"prompt_tokens": 83, "completion_tokens": 60, "total_tokens": 143, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779783-fmlXjm7YTciWLfv6wdOm", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 96, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-reasoning-008", "suite": "reasoning", "case_version": "0.3.0", "tags": ["state-tracking", "branching"], "scorer": "exact", "expected": {"answer": "15", "normalize": true}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只回答最终数字：变量初始为 x=2, y=5, z=1。若 x list[str]，解析一行简化 CSV：逗号分隔；字段可以用双引号包裹；引号内逗号保留；引号内两个连续双引号表示一个双引号；空字段保留；空格是普通字符，不要自动 trim。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "81b6be132a0538b92491e39887550c116b7f09684b97f8dd1ad7df5426e97adb", "started_at": "2026-06-30T00:38:28.158982+00:00", "latency_ms": 5875, "output": "```python\ndef solve(line: str) -> list[str]:\n fields = []\n current = []\n i = 0\n n = len(line)\n in_quotes = False\n\n while i < n:\n ch = line[i]\n if in_quotes:\n if ch == '\"':\n if i + 1 < n and line[i + 1] == '\"':\n current.append('\"')\n i += 2\n else:\n in_quotes = False\n i += 1\n else:\n current.append(ch)\n i += 1\n else:\n if ch == '\"':\n in_quotes = True\n i += 1\n elif ch == ',':\n fields.append(''.join(current))\n current = []\n i += 1\n else:\n current.append(ch)\n i += 1\n\n fields.append(''.join(current))\n return fields\n```", "usage": {"prompt_tokens": 107, "completion_tokens": 197, "total_tokens": 304, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779881-cWw1kjSGCpTS2qhUSUAM", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-016", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "intervals", "sorting"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve([(5,7),(1,2),(3,4),(10,10)]) == [(1,7),(10,10)]", "assert solution.solve([(1,1),(3,3)]) == [(1,1),(3,3)]", "assert solution.solve([]) == []"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]。intervals 是整数闭区间，先按起点排序；重叠或端点相邻的区间要合并，例如 [1,2] 和 [3,4] 合并为 [1,4]。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "6dc22c1e6ae004a46c47dc11d5cc9ed5d57f09ec77549ff0ada57b459929d814", "started_at": "2026-06-30T00:38:34.093577+00:00", "latency_ms": 4489, "output": "```python\ndef solve(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]:\n if not intervals:\n return []\n intervals.sort(key=lambda x: x[0])\n merged = [intervals[0]]\n for start, end in intervals[1:]:\n last_start, last_end = merged[-1]\n if start <= last_end + 1:\n merged[-1] = (last_start, max(last_end, end))\n else:\n merged.append((start, end))\n return merged\n```", "usage": {"prompt_tokens": 111, "completion_tokens": 116, "total_tokens": 227, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779886-5q1Y12JmYuTRNsnCIEOc", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-017", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "rate-limit", "state"], "scorer": "code_python_tests", "expected": {"tests": ["events=[('a',1),('a',2),('a',3),('a',4),('a',8)]\nassert solution.solve(events, 5, 2) == [True, True, False, False, True]", "assert solution.solve([('x',10),('x',11),('x',16)], 5, 1) == [True, False, True]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(events: list[tuple[str, int]], window: int, limit: int) -> list[bool]，模拟按用户限流。events 按时间非降序排列。某用户在当前事件时间 ts 的窗口 (ts-window, ts] 内，已放行事件数少于 limit 才放行；被拒绝的事件不计入窗口。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "1539217453d6af4bac3c7abfbd8df43ed131cd647e58a0ad2a5a670794a91f80", "started_at": "2026-06-30T00:38:38.622677+00:00", "latency_ms": 4665, "output": "```python\ndef solve(events: list[tuple[str, int]], window: int, limit: int) -> list[bool]:\n from collections import defaultdict, deque\n \n user_queues = defaultdict(deque)\n result = []\n \n for user, ts in events:\n q = user_queues[user]\n while q and q[0] <= ts - window:\n q.popleft()\n if len(q) < limit:\n q.append(ts)\n result.append(True)\n else:\n result.append(False)\n \n return result\n```", "usage": {"prompt_tokens": 121, "completion_tokens": 117, "total_tokens": 238, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779892-NVpqCL9JIGa1do8Tr74y", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-018", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "path", "stack"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('/a//b/./c/../') == '/a/b'", "assert solution.solve('/../../x') == '/x'", "assert solution.solve('/') == '/'"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(path: str) -> str，规范化绝对 Unix 路径：处理重复斜杠、.、..；.. 在根目录时仍留在根目录；返回结果必须以 / 开头且除根目录外不能以 / 结尾。不要使用 os.path。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "92e706f1062d7652c2f14c514c44602c6708e65d87771889d3aff7450e33e85d", "started_at": "2026-06-30T00:38:43.319945+00:00", "latency_ms": 3312, "output": "```python\ndef solve(path: str) -> str:\n parts = path.split('/')\n stack = []\n for part in parts:\n if part == '' or part == '.':\n continue\n elif part == '..':\n if stack:\n stack.pop()\n else:\n stack.append(part)\n return '/' + '/'.join(stack)\n```", "usage": {"prompt_tokens": 104, "completion_tokens": 74, "total_tokens": 178, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779896-WZx4Al08xPLP1THz8Q2P", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-019", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "grouping", "stable-order"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve(['eat','tea','tan','ate','nat','bat']) == [['eat','tea','ate'], ['tan','nat'], ['bat']]", "assert solution.solve(['b','B','bb']) == [['b'], ['B'], ['bb']]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(words: list[str]) -> list[list[str]]，按变位词分组。大小写敏感；组内保持输入顺序；组的顺序按该组第一个单词在输入中出现的位置。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "0a957bf71a0be6fa198a854347b2fe5d2c5d5f9b9a8bd5041dac9cdb46ae06ce", "started_at": "2026-06-30T00:38:46.668796+00:00", "latency_ms": 3712, "output": "```python\ndef solve(words: list[str]) -> list[list[str]]:\n groups = {}\n order = {}\n for i, w in enumerate(words):\n key = tuple(sorted(w))\n if key not in groups:\n groups[key] = []\n order[key] = i\n groups[key].append(w)\n return [groups[k] for k in sorted(order, key=lambda x: order[x])]\n```", "usage": {"prompt_tokens": 89, "completion_tokens": 90, "total_tokens": 179, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779899-7GCpGZChAclc8jNPvnDr", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-020", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "parser", "front-matter"], "scorer": "code_python_tests", "expected": {"tests": ["text='---\\ntitle: Test\\ntags: [ai, bench, v0]\\ndraft: false\\n---\\nbody'\nassert solution.solve(text) == {'title':'Test','tags':['ai','bench','v0'],'draft':'false'}", "assert solution.solve('hello\\n---\\na: b') == {}", "assert solution.solve('---\\na: 1') == {}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(text: str) -> dict，解析 Markdown front matter。只有第一行正好是 --- 时才解析，直到下一行 --- 结束；每行 key: value，key 和 value 两侧 trim；形如 [a, b] 的 value 返回字符串列表；其他 value 返回字符串。没有完整 front matter 返回 {}。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "4111f2228a7b621a743019a4cad1b5638c8a120765153c2d35f8db2aa136f79c", "started_at": "2026-06-30T00:38:50.416111+00:00", "latency_ms": 7029, "output": "```python\ndef solve(text: str) -> dict:\n lines = text.split('\\n')\n if not lines or lines[0].strip() != '---':\n return {}\n result = {}\n for line in lines[1:]:\n if line.strip() == '---':\n return result\n if ':' not in line:\n continue\n key, value = line.split(':', 1)\n key = key.strip()\n value = value.strip()\n if value.startswith('[') and value.endswith(']'):\n inner = value[1:-1].strip()\n if inner == '':\n result[key] = []\n else:\n result[key] = [item.strip() for item in inner.split(',')]\n else:\n result[key] = value\n return {}\n```", "usage": {"prompt_tokens": 120, "completion_tokens": 167, "total_tokens": 287, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779903-2rscwWLPuAhSMIKHVPrb", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-021", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "frequency", "stable-order"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve(['b','a','b','c','a','b'], 2) == ['b','a']", "assert solution.solve(['x','y','z','y','z','x'], 2) == ['x','y']", "assert solution.solve(['a'], 5) == ['a']"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(items: list[str], k: int) -> list[str]，返回出现次数最高的前 k 个元素；次数相同按第一次出现的先后排序；k 大于不同元素数量时返回全部。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e73dccf0e991c296063c917fbe5a6b5f99f50fb3baed6d0820cfc35df858c663", "started_at": "2026-06-30T00:38:57.480247+00:00", "latency_ms": 4294, "output": "```python\ndef solve(items: list[str], k: int) -> list[str]:\n from collections import OrderedDict\n \n count = {}\n order = {}\n for i, item in enumerate(items):\n count[item] = count.get(item, 0) + 1\n if item not in order:\n order[item] = i\n \n unique = list(count.keys())\n unique.sort(key=lambda x: (-count[x], order[x]))\n \n return unique[:k]\n```", "usage": {"prompt_tokens": 90, "completion_tokens": 101, "total_tokens": 191, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779910-6qg0A6UBeWrqhLSbutMV", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-022", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "nested-dict", "copy"], "scorer": "code_python_tests", "expected": {"tests": ["base={'db':{'host':'old','port':5432},'feature':{'x':1}}\noverrides={'db.host':'new','feature.x':None,'api.timeout':30}\nres=solution.solve(base, overrides)\nassert res == {'db':{'host':'new','port':5432},'feature':{},'api':{'timeout':30}}\nassert base == {'db':{'host':'old','port':5432},'feature':{'x':1}}", "assert solution.solve({'a':1}, {'a.b':2}) == {'a': {'b': 2}}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(config: dict, overrides: dict[str, object]) -> dict。overrides 的 key 是点号路径；值为 None 表示删除该路径的叶子 key；其他值写入路径，必要时创建中间 dict；不能修改输入 config。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e21e5bbf42159ba49144d39d17824dcf011df026efab7a9bfb6179aed2bb558a", "started_at": "2026-06-30T00:39:01.823457+00:00", "latency_ms": 6557, "output": "```python\ndef solve(config: dict, overrides: dict[str, object]) -> dict:\n import copy\n result = copy.deepcopy(config)\n\n for path, value in overrides.items():\n keys = path.split(\".\")\n if value is None:\n # Delete leaf key\n current = result\n for key in keys[:-1]:\n if isinstance(current, dict) and key in current:\n current = current[key]\n else:\n break\n else:\n if isinstance(current, dict) and keys[-1] in current:\n del current[keys[-1]]\n else:\n # Write value, creating intermediate dicts as needed\n current = result\n for key in keys[:-1]:\n if key not in current or not isinstance(current[key], dict):\n current[key] = {}\n current = current[key]\n current[keys[-1]] = value\n\n return result\n```", "usage": {"prompt_tokens": 99, "completion_tokens": 191, "total_tokens": 290, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779914-61zWDRtBjcWM3UanLRHt", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-023", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "url", "parser"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('a=1&b=two+words&a=3') == {'a':['1','3'], 'b':['two words']} ", "assert solution.solve('empty=&flag&x=a%2Bb') == {'empty':[''], 'flag':[''], 'x':['a+b']} ", "assert solution.solve('') == {}"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(query: str) -> dict[str, list[str]]，解析 URL query string。& 分隔参数；没有 = 的参数值为空字符串；+ 表示空格；%XX 需要按 UTF-8 百分号解码；同名 key 保留所有值的列表。可以使用标准库。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "cfe8be23444d346039a0740ab1568f54ed98bd44e5d63909779673da2207f393", "started_at": "2026-06-30T00:39:08.429098+00:00", "latency_ms": 6010, "output": "```python\nfrom urllib.parse import unquote_plus\n\ndef solve(query: str) -> dict[str, list[str]]:\n result: dict[str, list[str]] = {}\n if not query:\n return result\n for param in query.split('&'):\n if '=' in param:\n key, value = param.split('=', 1)\n else:\n key, value = param, ''\n key = unquote_plus(key)\n value = unquote_plus(value)\n result.setdefault(key, []).append(value)\n return result\n```", "usage": {"prompt_tokens": 109, "completion_tokens": 112, "total_tokens": 221, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779921-be18kSJZ4fjJvDmoi4Dl", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-024", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "parser", "stack"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve('

x

') is True", "assert solution.solve('') is False", "assert solution.solve('text') is True"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(html: str) -> bool，校验简化 HTML 标签是否配对。标签形如 、、
，标签名只含小写字母；自闭合标签不入栈；普通文本忽略。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "088a9867c7f154cf1ee172830e13e8e49c53a8e572707d776f0cdea59f3555cb", "started_at": "2026-06-30T00:39:14.489426+00:00", "latency_ms": 5018, "output": "```python\ndef solve(html: str) -> bool:\n stack = []\n i = 0\n n = len(html)\n while i < n:\n if html[i] == '<':\n j = html.find('>', i)\n if j == -1:\n return False\n tag = html[i+1:j]\n if tag.startswith('/'):\n tag_name = tag[1:]\n if not stack or stack[-1] != tag_name:\n return False\n stack.pop()\n elif tag.endswith('/'):\n pass\n else:\n stack.append(tag)\n i = j + 1\n else:\n i += 1\n return len(stack) == 0\n```", "usage": {"prompt_tokens": 95, "completion_tokens": 151, "total_tokens": 246, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779927-04zbkp7BeHLmCLD9OzpR", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-025", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "bfs", "grid"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve(['S..','##.','..E']) == 4", "assert solution.solve(['S#','##','E.']) == -1", "assert solution.solve(['SE']) == 1"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(grid: list[str]) -> int。grid 中 S 是起点，E 是终点，# 是墙，. 可走。每步上下左右移动一格，返回从 S 到 E 的最短步数；不可达返回 -1。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "8c6dc47fe32c2eef1e05bed2e6bd50520bb606e6965fe6c18e354a50a1e65085", "started_at": "2026-06-30T00:39:19.545782+00:00", "latency_ms": 9341, "output": "```python\nfrom collections import deque\n\ndef solve(grid: list[str]) -> int:\n rows = len(grid)\n cols = len(grid[0]) if rows > 0 else 0\n \n start = end = None\n for r in range(rows):\n for c in range(cols):\n if grid[r][c] == 'S':\n start = (r, c)\n elif grid[r][c] == 'E':\n end = (r, c)\n \n if not start or not end:\n return -1\n \n visited = [[False] * cols for _ in range(rows)]\n queue = deque([(start[0], start[1], 0)])\n visited[start[0]][start[1]] = True\n \n directions = [(-1, 0), (1, 0), (0, -1), (0, 1)]\n \n while queue:\n r, c, dist = queue.popleft()\n if (r, c) == end:\n return dist\n for dr, dc in directions:\n nr, nc = r + dr, c + dc\n if 0 <= nr < rows and 0 <= nc < cols and not visited[nr][nc] and grid[nr][nc] != '#':\n visited[nr][nc] = True\n queue.append((nr, nc, dist + 1))\n \n return -1\n```", "usage": {"prompt_tokens": 104, "completion_tokens": 302, "total_tokens": 406, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779932-hVhMEUiymWmpzkPytpgq", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-026", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "sliding-window", "median"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve([1,3,-1,-3,5,3,6,7], 3) == [1, -1, -1, 3, 5, 6]", "assert solution.solve([1,2,3,4], 2) == [1.5, 2.5, 3.5]"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(nums: list[int], k: int) -> list[float]，返回每个长度为 k 的滑动窗口中位数。k 为奇数时返回中间值；k 为偶数时返回两个中间值平均数。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "53547e8e9f25c840b8a6248c7be329b1779ddc5a47484208f5c434403bd8228c", "started_at": "2026-06-30T00:39:28.964820+00:00", "latency_ms": 9674, "output": "```python\nimport bisect\n\ndef solve(nums: list[int], k: int) -> list[float]:\n window = sorted(nums[:k])\n result = []\n \n def get_median():\n if k % 2 == 1:\n return float(window[k // 2])\n else:\n return (window[k // 2 - 1] + window[k // 2]) / 2.0\n \n result.append(get_median())\n \n for i in range(k, len(nums)):\n # Remove nums[i-k] from window\n out_val = nums[i - k]\n idx = bisect.bisect_left(window, out_val)\n window.pop(idx)\n # Insert nums[i] into window\n bisect.insort(window, nums[i])\n result.append(get_median())\n \n return result\n```", "usage": {"prompt_tokens": 97, "completion_tokens": 181, "total_tokens": 278, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779942-XHtPpYvRocfRfg4VcgNU", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-027", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "sorting", "semver"], "scorer": "code_python_tests", "expected": {"tests": ["assert solution.solve(['1.0.0','1.0.0-alpha','1.0.1','1.0.0-beta','0.9.9']) == ['0.9.9','1.0.0-alpha','1.0.0-beta','1.0.0','1.0.1']", "assert solution.solve(['1.0.10','1.0.2']) == ['1.0.2','1.0.10']"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(versions: list[str]) -> list[str]，按简化语义版本排序。版本为 major.minor.patch 或 major.minor.patch-label；major/minor/patch 按数字比较；同一数字版本下，带 label 的预发布版本低于正式版本；label 按字典序比较。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "f9b7324425840beb574b30433a6e004d34a834ef548c9cfa579b9b9b6950377d", "started_at": "2026-06-30T00:39:38.684605+00:00", "latency_ms": 9463, "output": "```python\ndef solve(versions: list[str]) -> list[str]:\n def key(v: str):\n parts = v.split(\"-\", 1)\n base = parts[0]\n label = parts[1] if len(parts) > 1 else None\n major, minor, patch = (int(x) for x in base.split(\".\"))\n # Pre-release (has label) sorts before release (no label) for same base\n # label \"\" (no label) should be treated as no pre-release: use (0, \"\") for release, (1, label) for pre-release\n if label is None:\n return (major, minor, patch, 0, \"\")\n else:\n return (major, minor, patch, 1, label)\n\n return sorted(versions, key=key)\n```", "usage": {"prompt_tokens": 112, "completion_tokens": 174, "total_tokens": 286, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779951-6mLz0lqDaeowlQjfha7v", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"returncode": 1, "stdout": "", "stderr": "Traceback (most recent call last):\n File \"/var/folders/x_/4cht1kfj1_j31gdv5w01sgmw0000gn/T/dracobench-code-las7w2m1/test_solution.py\", line 3, in \n assert solution.solve(['1.0.0','1.0.0-alpha','1.0.1','1.0.0-beta','0.9.9']) == ['0.9.9','1.0.0-alpha','1.0.0-beta','1.0.0','1.0.1']\nAssertionError\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-coding-028", "suite": "coding", "case_version": "0.3.0", "tags": ["python", "graph", "reverse-deps"], "scorer": "code_python_tests", "expected": {"tests": ["deps={'app':['lib','ui'],'ui':['core'],'lib':['core'],'core':[],'docs':[]}\nassert solution.solve(deps, ['core']) == ['app','core','lib','ui']", "assert solution.solve({'a':['x']}, ['x']) == ['a','x']", "assert solution.solve({'a':['b'], 'b':[]}, ['a']) == ['a']"], "timeout_seconds": 3}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 Python 代码，不要解释。实现 solve(deps: dict[str, list[str]], changed: list[str]) -> list[str]。deps 表示 package -> 直接依赖。返回所有 changed 包，以及直接或间接依赖 changed 包的包，按字典序排序；只出现在依赖列表中的包也要能作为 changed 包返回。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "2a0e51751556bc0e35f2a2a2aa4ed86810eacfc274bb9c5f48e8990611a9a473", "started_at": "2026-06-30T00:39:48.173182+00:00", "latency_ms": 5725, "output": "```python\ndef solve(deps: dict[str, list[str]], changed: list[str]) -> list[str]:\n # Build reverse dependency graph: package -> packages that depend on it\n reverse_deps = {}\n for pkg, dep_list in deps.items():\n for dep in dep_list:\n if dep not in reverse_deps:\n reverse_deps[dep] = []\n reverse_deps[dep].append(pkg)\n \n # BFS/DFS from changed packages through reverse deps\n result = set()\n stack = list(changed)\n while stack:\n pkg = stack.pop()\n if pkg in result:\n continue\n result.add(pkg)\n if pkg in reverse_deps:\n for dependent in reverse_deps[pkg]:\n if dependent not in result:\n stack.append(dependent)\n \n return sorted(result)\n```", "usage": {"prompt_tokens": 110, "completion_tokens": 178, "total_tokens": 288, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779960-WADxJ9uJTHbhuCvJXglT", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"returncode": 0, "stdout": "", "stderr": ""}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-008", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "conflict", "workflow"], "scorer": "text_rules", "expected": {"required": ["50", "审题"], "required_any": [["不跑", "不要立刻", "先不跑", "不应立刻", "不应该立刻", "不应立即", "不应该立即", "不应立刻跑", "不应该立刻跑", "不应立即跑", "不应该立即跑"]], "forbidden": [], "max_chars": 160}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料 A：早期草案说 v0.3 只新增 20 道题。\n资料 B：2026-06-16 的确认方案是 v0.3-challenge100，在现有 50 题基础上新增 50 道题。\n资料 C：新增题应先生成审题 HTML，确认后再跑模型，不要立即消耗 API。\n\n问题：下一步应该新增多少题？是否应该立刻跑模型？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c99da78812f6f4ab7745f793b9e3dc087033b0cce0591db49bf8642829324a81", "started_at": "2026-06-30T00:39:53.937802+00:00", "latency_ms": 3856, "output": "根据资料 B（2026-06-16 的确认方案），下一步应新增 **50 道题**。\n\n根据资料 C，**不应该立刻跑模型**，应先为新增题生成审题 HTML，待确认后再跑模型，避免立即消耗 API。", "usage": {"prompt_tokens": 146, "completion_tokens": 64, "total_tokens": 210, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779966-MrwifRu0HXjJ7RLvQKhy", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 100, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-009", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "abstain"], "scorer": "text_rules", "expected": {"required": ["不能", "用户满意度"], "required_any": [["没有包含", "没有提供", "资料没有", "未包含"]], "forbidden": ["可以判断"], "max_chars": 120}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答，不要自行补充。\n\n资料：报告展示 pass_rate、avg_latency_ms、total_cost、reasoning_tokens、失败样例和逐题明细。资料没有包含用户满意度调查，也没有包含模型训练数据来源。\n\n问题：能否根据这份报告判断用户满意度？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c072287ee5dbe1d477ab21e37485fb72f07cd11a57b57f199f071287443f404e", "started_at": "2026-06-30T00:39:57.795099+00:00", "latency_ms": 3633, "output": "不能。报告未包含用户满意度调查相关数据，无法据此判断用户满意度。", "usage": {"prompt_tokens": 97, "completion_tokens": 18, "total_tokens": 115, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779970-d8yGD6ZPcDc0ihjzGK8f", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 32, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-010", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "tradeoff"], "scorer": "text_rules", "expected": {"required": ["B", "延迟"], "required_any": [["没有超时", "无超时"]], "forbidden": ["选择 A", "选择 C"], "max_chars": 160}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：模型 A 通过 48/50，平均延迟 20 秒，成本 0.20 美元，没有超时失败。模型 B 通过 44/50，平均延迟 4 秒，成本 0.05 美元，没有超时失败。模型 C 通过 46/50，平均延迟 9 秒，成本 0.04 美元，但有 3 次 API 超时。\n\n问题：如果要选低延迟且稳定的生产摘要模型，资料更支持选择哪个？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "a17bb8c56d524481eedc45557a1394b5b65b034af6847928cca16e2c8c2428c9", "started_at": "2026-06-30T00:40:01.429388+00:00", "latency_ms": 4473, "output": "模型 C", "usage": {"prompt_tokens": 163, "completion_tokens": 3, "total_tokens": 166, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779974-Kyy3wPmvJPWDwWLCy20V", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": ["B", "延迟"], "missing_any": [["没有超时", "无超时"]], "present_forbidden": [], "char_count": 4, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-011", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "scoring-policy"], "scorer": "text_rules", "expected": {"required": ["诊断"], "required_any": [["不扣分", "不会", "不会因长度", "不会因此被扣分", "不会直接导致扣分", "不会导致扣分", "不会导致失败或扣分"], ["length_scored", "长度"]], "forbidden": ["直接失败", "必须重跑"], "max_chars": 140}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：DracoBench 当前 scoring policy 中，text_rules 的 max_chars/min_chars 只作为诊断信息记录，length_scored 为 false。缺少 required、required_any 或出现 forbidden 才会导致失败。\n\n问题：如果答案超过 max_chars，但 required 都满足且没有 forbidden，会因为长度直接扣分吗？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "1ff7f897fc3d3121f25358f9a8df2a2df2970bc5762ff1218dd63c3f42d7d598", "started_at": "2026-06-30T00:40:05.905197+00:00", "latency_ms": 3528, "output": "不会。根据资料，length_scored 为 false，max_chars/min_chars 仅作为诊断信息记录，不会直接导致扣分。", "usage": {"prompt_tokens": 115, "completion_tokens": 29, "total_tokens": 144, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779978-5gsLg30CqMVWbV1BZTvX", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 69, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-012", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "rescoring"], "scorer": "text_rules", "expected": {"required": ["46/50"], "forbidden": ["45/50 更合适", "原始结果为准"], "max_chars": 140}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料 A：某模型原始结果为 45/50。\n资料 B：修正一个同义表达评分规则后，rescored 结果为 46/50。\n资料 C：总览 index 使用 rescored JSONL 作为展示结果。\n\n问题：写文章引用总览结果时，应写 45/50 还是 46/50？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "274c0483d9fd5cae178e795e16add941178c14f5ae34a82f631655c000ff929a", "started_at": "2026-06-30T00:40:09.435173+00:00", "latency_ms": 3682, "output": "46/50", "usage": {"prompt_tokens": 129, "completion_tokens": 6, "total_tokens": 135, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779982-WvCCckGVWvdLdL71LoIp", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 5, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-013", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "reproducibility"], "scorer": "text_rules", "expected": {"required": ["model", "prompt_hash", "parameters", "scorer"], "forbidden": ["chain of thought", "训练数据"], "max_chars": 200}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：为了复现一次 benchmark，记录中包含 model、case_id、prompt_hash、parameters、scorer details、output、latency_ms 和 usage。记录不包含 chain of thought，也不包含训练数据。\n\n问题：复现评测主要应该依赖哪些记录字段？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "7455c8e21abbb53f7cb11c9db29ed66ad1dfcc7e60138f6dfccb7cbcacc958c3", "started_at": "2026-06-30T00:40:13.119279+00:00", "latency_ms": 4161, "output": "根据资料，复现评测主要应依赖以下记录字段：\n\n- **model**：确定使用的模型\n- **case_id**：确定评测用例\n- **prompt_hash**：确定输入提示\n- **parameters**：确定生成参数\n- **scorer details**：确定评分方式\n- **output**：记录模型输出结果\n- **latency_ms**：记录延迟性能\n- **usage**：记录资源消耗", "usage": {"prompt_tokens": 100, "completion_tokens": 93, "total_tokens": 193, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779985-CXi8iTdo1Epc3CwPKU4N", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 205, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-014", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "mode"], "scorer": "text_rules", "expected": {"required": ["16384"], "forbidden": ["4096"], "max_chars": 100}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料 A：早期 ability mode 使用 4096 max_tokens。\n资料 B：后来为了公平，ability mode 统一放宽到 16384 max_tokens。\n资料 C：当前总览页只展示 v0.2-challenge50 且 ability16384 的结果。\n\n问题：当前总览页对应的 token limit 是多少？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "1d5b45892f4d0509e7805976e9bb60b3893e68657b40fcfa934db89a27eccc7b", "started_at": "2026-06-30T00:40:17.281536+00:00", "latency_ms": 3892, "output": "根据资料 C，当前总览页展示的是 ability16384 的结果，因此对应的 token limit 是 **16384**。", "usage": {"prompt_tokens": 124, "completion_tokens": 34, "total_tokens": 158, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779990-Klfe9seSlybrfsCw8kbH", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 64, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-015", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "failure-analysis", "scoring-policy"], "scorer": "text_rules", "expected": {"required": ["人工复查", "coding-004"], "required_any": [["rag-006", "规则", "评分规则", "同义表达"], ["不属于", "不是", "不需要"]], "max_chars": 180}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：coding-004 的失败是代码运行时 ValueError，根因是把字符串 key 强转 int。rag-006 的失败曾经是规则没有把 int 类型视作“整数”的同义表达，后来通过人工复查修正规则。\n\n问题：哪类失败更需要人工复查评分规则？回答时也说明 coding-004 是否属于这种情况。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "d4725ef21042620eab8231d5671ac8f778c2b71f85afb72d592c3da2278cc9c4", "started_at": "2026-06-30T00:40:21.175033+00:00", "latency_ms": 5201, "output": "**rag 类失败**更需要人工复查评分规则。\n\n**原因：** rag-006 的失败直接源于评分规则本身的缺陷（未将 int 类型视为\"整数\"的同义表达），必须通过人工复查才能发现并修正规则。\n\n**coding-004 不属于这种情况。** 其失败是代码运行时错误（ValueError，强转类型失败），属于代码实现层面的问题，而非评分规则本身的缺陷，不需要人工复查评分规则。", "usage": {"prompt_tokens": 123, "completion_tokens": 101, "total_tokens": 224, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779994-3pKISiMX0VACgSSjRdcz", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 191, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-016", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "abstain", "cost"], "scorer": "text_rules", "expected": {"required": ["不能", "利润率"], "required_any": [["不包含", "没有"]], "forbidden": ["可以判断"], "max_chars": 120}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：usage 字段包含 prompt_tokens、completion_tokens、reasoning_tokens 和 cost。报告没有供应商真实利润率，也没有供应商内部成本。\n\n问题：能否从 usage 字段判断供应商利润率？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "622c02bde50c8b232afe7bb574da76e2ed1e35d49a55a96f63b935dbbbb16175", "started_at": "2026-06-30T00:40:26.377981+00:00", "latency_ms": 3094, "output": "不能。\n\n资料明确指出：报告没有供应商真实利润率，也没有供应商内部成本。", "usage": {"prompt_tokens": 85, "completion_tokens": 19, "total_tokens": 104, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782779999-NxEVUQCw1y5En6PA3btr", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 36, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-017", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "index-scope"], "scorer": "text_rules", "expected": {"required": ["v0.2-challenge50", "ability16384"], "required_any": [["不应该", "不展示", "未展示", "不显示", "均不显示", "不应展示"], ["旧版本", "之前的版本"]], "max_chars": 160}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：当前 index 页只显示最后这版 50 道题的 v0.2-challenge50 结果，并且 token limit 都统一为 ability16384。之前的版本和 ability4096 结果不显示在 index 页。\n\n问题：index 页是否应该展示旧版本结果？当前展示范围是什么？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "84234aeba9875f705a8daae80d0f0a287d1cef74de57877dfe6fbd41e6d1e835", "started_at": "2026-06-30T00:40:29.474281+00:00", "latency_ms": 4493, "output": "根据资料：\n\n- **当前 index 页不展示旧版本结果**，只显示最后这版 50 道题的 v0.2-challenge50 结果。\n- **当前展示范围**：仅包含 v0.2-challenge50 这版 50 道题的结果，且 token limit 统一为 ability16384。之前的版本和 ability4096 的结果均不显示在 index 页。", "usage": {"prompt_tokens": 121, "completion_tokens": 101, "total_tokens": 222, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780002-dwtFLJ3nmQM0b8EDLWFj", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 181, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-rag-018", "suite": "rag_long_context", "case_version": "0.3.0", "tags": ["rag", "failure-analysis", "truncation"], "scorer": "text_rules", "expected": {"required": ["输出"], "required_any": [["截断", "length", "token"]], "forbidden": [], "max_chars": 140}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只根据资料回答。\n\n资料：某 coding 题中，模型响应的 finish_reason 为 length，output 为空，测试报错为 module has no attribute solve。报告认为这不是算法逻辑错误，而是输出被截断后没有形成可执行函数。\n\n问题：这次失败应如何归因？", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "f819b3ec516c1c77e6e0c1bbcece217d77fc5a4aaee6e7787be0b4cd5d97c9ff", "started_at": "2026-06-30T00:40:33.969120+00:00", "latency_ms": 4604, "output": "根据资料，这次失败应归因为**输出截断导致代码不完整**，而非算法逻辑错误。具体原因是模型响应的 `finish_reason` 为 `length`，输出被截断后没有形成可执行函数，导致测试报错 `module has no attribute solve`。", "usage": {"prompt_tokens": 102, "completion_tokens": 61, "total_tokens": 163, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780006-ot9UftAMD1cxOXRBmz81", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 131, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-015", "suite": "debugging", "case_version": "0.3.0", "tags": ["python", "closure", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*funcs\\.append\\(lambda\\s+i=i\\s*:\\s*i\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望 funcs[0]()、funcs[1]()、funcs[2]() 分别返回 0、1、2，但实际都会返回 2。请指出根因，并给出最小修复。最后单独一行写 FIX: <修复后的 append 行>。\n\n```python\nfuncs = []\nfor i in range(3):\n funcs.append(lambda: i)\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e90d1ddfafd6f041b7be435f823b34b7ad74ddf85bb4dbb228db8e1183cd8843", "started_at": "2026-06-30T00:40:38.574869+00:00", "latency_ms": 5245, "output": "根因：lambda 捕获的是变量 `i` 的引用（而非值），循环结束后 `i` 的终值为 2，所有 lambda 共享同一个 `i`，因此都返回 2。\n\n最小修复：利用默认参数在定义时绑定当前值。\n\nFIX: funcs.append(lambda i=i: i)", "usage": {"prompt_tokens": 117, "completion_tokens": 71, "total_tokens": 188, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780011-bXieFducjbmYNjY7SoHr", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*funcs\\.append\\(lambda\\s+i=i\\s*:\\s*i\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-016", "suite": "debugging", "case_version": "0.3.0", "tags": ["python", "context-manager", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*return(?:\\s+False|\\s+None)?\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面 context manager 期望异常继续向外抛出，但实际异常被吞掉。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 return 行>。\n\n```python\nclass Span:\n def __enter__(self):\n return self\n def __exit__(self, exc_type, exc, tb):\n return True\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e7cbf0d9b2df76954e4b3aacf7d21f0a22c40f64ccc2432b115896cdb5a3f123", "started_at": "2026-06-30T00:40:43.821433+00:00", "latency_ms": 6677, "output": "`__exit__` 返回 `True` 会抑制异常。若要让异常继续传播，应返回 `False`（或 `None`）。\n\nFIX: return False", "usage": {"prompt_tokens": 114, "completion_tokens": 38, "total_tokens": 152, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780016-ugR69e6TqPXlEtSb6wOM", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*return(?:\\s+False|\\s+None)?\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-017", "suite": "debugging", "case_version": "0.3.0", "tags": ["python", "class-variable", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*self\\.items\\s*=\\s*\\[\\]\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望每个 Bag 实例都有独立列表，但不同实例会共享 items。请指出 bug，并给出最小修复。最后单独一行写 FIX: <新增到 __init__ 中的赋值行>。\n\n```python\nclass Bag:\n items = []\n def add(self, x):\n self.items.append(x)\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "c2b320a4b54c57505deb9a6f14ebb63217e6c351a61dbfeed24131e848fe7553", "started_at": "2026-06-30T00:40:50.501126+00:00", "latency_ms": 3205, "output": "**Bug**: `items = []` 是类属性，所有实例共享同一个列表。\n\n**修复**: 在 `__init__` 中创建实例属性。\n\nFIX: `self.items = []`", "usage": {"prompt_tokens": 107, "completion_tokens": 45, "total_tokens": 152, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780023-2aBn7CRN89um29Jxakz1", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*self\\.items\\s*=\\s*\\[\\]\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-018", "suite": "debugging", "case_version": "0.3.0", "tags": ["python", "default-argument", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*def\\s+mark\\(ts=None\\)\\s*:", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望每次不传 ts 时使用当前时间，但默认时间只会在函数定义时计算一次。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的函数定义行>。\n\n```python\nfrom datetime import datetime\n\ndef mark(ts=datetime.utcnow()):\n return ts.isoformat()\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "96674f1c8091e56110c21b7b057178e05bd5225812543e3101e86fc6c5d2dba7", "started_at": "2026-06-30T00:40:53.708392+00:00", "latency_ms": 6133, "output": "**Bug**：默认参数 `ts=datetime.utcnow()` 在函数定义时求值一次，之后所有不传 `ts` 的调用都返回同一个时间戳。\n\n**修复**：将默认值设为 `None`，在函数体内判断并赋当前时间。\n\nFIX: `def mark(ts=None):`", "usage": {"prompt_tokens": 107, "completion_tokens": 71, "total_tokens": 178, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780026-cZbDsBhovWP4LZHlmefs", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*def\\s+mark\\(ts=None\\)\\s*:"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-debugging-019", "suite": "debugging", "case_version": "0.3.0", "tags": ["python", "method-call", "debugging"], "scorer": "regex", "expected": {"pattern": "FIX:\\s*`?\\s*return\\s+s\\.strip\\(\\)\\.lower\\(\\)\\s*`?", "flags": "is"}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "下面代码期望返回小写字符串，但实际返回的是方法对象。请指出 bug，并给出最小修复。最后单独一行写 FIX: <修复后的 return 行>。\n\n```python\ndef normalize(s):\n return s.strip().lower\n```", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "e9d483dafd7852b396cee6b27c6c25c888983460dba83c871f7f9a239dd601ef", "started_at": "2026-06-30T00:40:59.843863+00:00", "latency_ms": 3492, "output": "`lower` 是方法，需要调用它。\n\nFIX: `return s.strip().lower()`", "usage": {"prompt_tokens": 91, "completion_tokens": 22, "total_tokens": 113, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780032-TVKrGcdZ8P1jUQjNpEFh", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*return\\s+s\\.strip\\(\\)\\.lower\\(\\)\\s*`?"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-if-006", "suite": "instruction_following", "case_version": "0.3.0", "tags": ["json", "nested", "strict"], "scorer": "json_schema_lite", "expected": {"schema": {"type": "object", "required": ["version", "ready", "cases"], "additionalProperties": false, "properties": {"version": {"type": "string", "const": "v0.3"}, "ready": {"type": "boolean", "const": true}, "cases": {"type": "array", "minItems": 2, "maxItems": 2, "items": {"type": "object", "required": ["id", "weight", "active"], "additionalProperties": false, "properties": {"id": {"type": "string", "pattern": "^case-[12]$"}, "weight": {"type": "integer"}, "active": {"type": "boolean"}}}}}}}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "只输出 JSON 对象，不要 Markdown。字段 version 必须是 \"v0.3\"；字段 ready 必须是 true；字段 cases 必须是正好两个对象组成的数组。cases 中每个对象只能包含 id、weight、active 三个字段；id 是字符串且匹配 case-1 或 case-2；weight 是整数；active 是布尔值。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "7aa2b7b97ec6a230b8e08a0949edc3f573a3979a488949456e1106dcbad11695", "started_at": "2026-06-30T00:41:03.337579+00:00", "latency_ms": 3092, "output": "{\"version\": \"v0.3\", \"ready\": true, \"cases\": [{\"id\": \"case-1\", \"weight\": 10, \"active\": true}, {\"id\": \"case-2\", \"weight\": 20, \"active\": false}]}", "usage": {"prompt_tokens": 115, "completion_tokens": 59, "total_tokens": 174, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780036-Cysxd7seaIMFR70MlO0H", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"errors": [], "value": {"version": "v0.3", "ready": true, "cases": [{"id": "case-1", "weight": 10, "active": true}, {"id": "case-2", "weight": 20, "active": false}]}}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"} {"case_id": "challenge-zh-writing-004", "suite": "chinese_writing", "case_version": "0.3.0", "tags": ["wechat", "summary"], "scorer": "text_rules", "expected": {"required": ["推理题", "边界条件", "人工复查"], "forbidden": ["排行榜"], "max_chars": 160}, "model": "openrouter/owl-alpha", "provider": null, "backend": "openrouter", "prompt": "写一段不超过 160 个汉字的公众号小结，主题是“为什么 v0.3 要扩到 100 题”。必须包含“推理题”“边界条件”“人工复查”，不能出现“排行榜”。", "parameters": {"temperature": 0.2, "max_tokens": 16384, "seed": null}, "prompt_hash": "2e406239f22e7454c39c9cc970d8388b92c83522c1edacf056286806f5933790", "started_at": "2026-06-30T00:41:06.432197+00:00", "latency_ms": 6561, "output": "v0.3 将题库扩至 100 题，主要出于三点考虑：一是增加推理题比例，更全面考察模型逻辑能力；二是覆盖更多边界条件，避免模型在特殊场景下表现失真；三是每道题均经人工复查，确保答案准确、评分公正。题库扩容后，评测结果将更具参考价值。", "usage": {"prompt_tokens": 86, "completion_tokens": 76, "total_tokens": 162, "cost": 0, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0, "upstream_inference_prompt_cost": 0, "upstream_inference_completions_cost": 0}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1782780039-xJTa9VypeoqCwQ13Rj5q", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 116, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-openrouter-owl-alpha-ability16384.jsonl"}