{"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:47:43.905423+00:00", "latency_ms": 6052, "output": "def solve(lines: list[str]) -> dict:\n result = {}\n current_section = None\n for line in lines:\n stripped = line.strip()\n if not stripped or stripped.startswith('#'):\n continue\n if stripped.startswith('[') and stripped.endswith(']'):\n current_section = stripped[1:-1]\n if current_section not in result:\n result[current_section] = {}\n elif '=' in stripped and current_section is not None:\n key, value = stripped.split('=', 1)\n result[current_section][key.strip()] = value.strip()\n return result", "usage": {"prompt_tokens": 105, "completion_tokens": 134, "total_tokens": 239, "cost": 5.222e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.222e-05, "upstream_inference_prompt_cost": 1.47e-05, "upstream_inference_completions_cost": 3.752e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610466-qCcDkHGc3HP28JAfhy6P", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:47:49.977318+00:00", "latency_ms": 8376, "output": "```python\ndef solve(events: list[str]) -> int:\n balance = 0\n executed = {}\n for event in events:\n parts = event.split()\n if parts[0] == \"rev\":\n eid = parts[1]\n if eid in executed and not executed[eid][2]:\n _, amount, _ = executed[eid]\n balance -= amount\n executed[eid][2] = True\n else:\n eid = parts[0]\n if eid in executed:\n continue\n action = parts[1]\n amount = int(parts[2])\n if action == \"credit\":\n balance += amount\n executed[eid] = [action, amount, False]\n elif action == \"debit\":\n balance -= amount\n executed[eid] = [action, amount, False]\n return balance\n```", "usage": {"prompt_tokens": 105, "completion_tokens": 187, "total_tokens": 292, "cost": 6.706e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 6.706e-05, "upstream_inference_prompt_cost": 1.47e-05, "upstream_inference_completions_cost": 5.236e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610472-sjswI3tTBQQBdqNiu6iI", "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-vva8cljg/test_solution.py\", line 4, in \n assert solution.solve(events) == 90\nAssertionError\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:47:58.375308+00:00", "latency_ms": 12279, "output": "```python\nfrom collections import defaultdict, deque\n\ndef solve(deps: dict[str, list[str]]) -> list[list[str]]:\n # 收集所有任务节点\n tasks = set(deps.keys())\n for prereqs in deps.values():\n tasks.update(prereqs)\n\n if not tasks:\n return []\n\n # 构建邻接表：pre -> task\n adj = defaultdict(list)\n indeg = {t: 0 for t in tasks}\n\n for task, prereqs in deps.items():\n for pre in prereqs:\n adj[pre].append(task)\n indeg[task] += 1\n\n # BFS拓扑排序，按层处理\n queue = deque([t for t in tasks if indeg[t] == 0])\n layers = []\n visited = 0\n\n while queue:\n # 当前层的节点（入度为0），按字典序排序\n current = sorted(queue)\n layers.append(current)\n visited += len(current)\n\n next_layer = []\n for node in current:\n for nxt in adj[node]:\n indeg[nxt] -= 1\n if indeg[nxt] == 0:\n next_layer.append(nxt)\n queue = deque(next_layer)\n\n return layers if visited == len(tasks) else []\n```", "usage": {"prompt_tokens": 97, "completion_tokens": 1016, "total_tokens": 1113, "cost": 0.00029709, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00029709, "upstream_inference_prompt_cost": 1.261e-05, "upstream_inference_completions_cost": 0.00028448}, "completion_tokens_details": {"reasoning_tokens": 733, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610480-SNSYMdM5zawNRLvF5zKL", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:48:10.699279+00:00", "latency_ms": 24219, "output": "```python\ndef solve(capacity: int, ops: list[str]) -> list[int]:\n if capacity == 0:\n return [-1 for op in ops if op.startswith(\"get\")]\n from collections import OrderedDict\n cache = OrderedDict()\n res = []\n for op in ops:\n parts = op.split()\n if parts[0] == \"put\":\n key = int(parts[1])\n value = int(parts[2])\n if key in cache:\n cache.move_to_end(key)\n else:\n if len(cache) == capacity:\n cache.popitem(last=False)\n cache[key] = value\n else: # \"get\"\n key = int(parts[1])\n if key in cache:\n cache.move_to_end(key)\n res.append(cache[key])\n else:\n res.append(-1)\n return res\n```", "usage": {"prompt_tokens": 110, "completion_tokens": 569, "total_tokens": 679, "cost": 0.00017472, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00017472, "upstream_inference_prompt_cost": 1.54e-05, "upstream_inference_completions_cost": 0.00015932}, "completion_tokens_details": {"reasoning_tokens": 379, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610492-EwnAVvpjwVOrBUpaMcvO", "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-r9ynpf8p/test_solution.py\", line 4, in \n assert solution.solve(2, ops) == [1, -1, 1, 3]\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/private/var/folders/x_/4cht1kfj1_j31gdv5w01sgmw0000gn/T/dracobench-code-r9ynpf8p/solution.py\", line 10, in solve\n key = int(parts[1])\n ^^^^^^^^^^^^^\nValueError: invalid literal for int() with base 10: 'a'\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:48:34.971363+00:00", "latency_ms": 4944, "output": "```python\nimport copy\n\ndef solve(base: dict, patch: dict) -> dict:\n result = copy.deepcopy(base)\n for key, value in patch.items():\n if value is None:\n result.pop(key, None)\n elif key in result and isinstance(result[key], dict) and isinstance(value, dict):\n result[key] = solve(result[key], value)\n else:\n result[key] = value\n return result\n```", "usage": {"prompt_tokens": 85, "completion_tokens": 588, "total_tokens": 673, "cost": 0.00017654, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00017654, "upstream_inference_prompt_cost": 1.19e-05, "upstream_inference_completions_cost": 0.00016464}, "completion_tokens_details": {"reasoning_tokens": 679, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610517-HO6hIhlKUePv6LxkqypK", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:48:39.961480+00:00", "latency_ms": 12877, "output": "```python\nimport re\n\ndef solve(text: str) -> int:\n pattern = r'(\\d+)\\s*(ms|[dhms])'\n total = 0\n for num, unit in re.findall(pattern, text):\n val = int(num)\n if unit == 'd':\n total += val * 86400000\n elif unit == 'h':\n total += val * 3600000\n elif unit == 'm':\n total += val * 60000\n elif unit == 's':\n total += val * 1000\n elif unit == 'ms':\n total += val\n return total\n```", "usage": {"prompt_tokens": 88, "completion_tokens": 1048, "total_tokens": 1136, "cost": 0.000290472, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000290472, "upstream_inference_prompt_cost": 1.1704e-05, "upstream_inference_completions_cost": 0.000278768}, "completion_tokens_details": {"reasoning_tokens": 906, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610522-C23DxJWdVVNiTU9Hnlnj", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:48:52.890954+00:00", "latency_ms": 47495, "output": "```python\ndef solve(s: str) -> bool:\n stack = []\n in_single = False\n in_double = False\n escaped = False\n for c in s:\n if escaped:\n escaped = False\n continue\n if c == '\\\\':\n escaped = True\n continue\n if in_single:\n if c == \"'\":\n in_single = False\n elif in_double:\n if c == '\"':\n in_double = False\n else:\n if c == \"'\":\n in_single = True\n elif c == '\"':\n in_double = True\n elif 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 (c == ']' and top != '[') or (c == '}' and top != '{'):\n return False\n return len(stack) == 0 and not in_single and not in_double\n```", "usage": {"prompt_tokens": 83, "completion_tokens": 2418, "total_tokens": 2501, "cost": 0.00068866, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00068866, "upstream_inference_prompt_cost": 1.162e-05, "upstream_inference_completions_cost": 0.00067704}, "completion_tokens_details": {"reasoning_tokens": 2185, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610535-AEfRVeJKZiYTLLsDgPSD", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:49:40.424068+00:00", "latency_ms": 4386, "output": "```python\ndef solve(rows: list[dict]) -> list[dict]:\n best = {}\n for idx, row in enumerate(rows):\n user = row['user']\n ts = row['ts']\n if user not in best:\n best[user] = (ts, idx, row)\n else:\n prev_ts, prev_idx, _ = best[user]\n if ts > prev_ts or (ts == prev_ts and idx > prev_idx):\n best[user] = (ts, idx, row)\n return [best[u][2] for u in sorted(best.keys())]\n```", "usage": {"prompt_tokens": 94, "completion_tokens": 290, "total_tokens": 384, "cost": 8.9642e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 8.9642e-05, "upstream_inference_prompt_cost": 1.2502e-05, "upstream_inference_completions_cost": 7.714e-05}, "completion_tokens_details": {"reasoning_tokens": 155, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610582-CmjBICtRGS4ZxL6Edj9V", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:49:44.854329+00:00", "latency_ms": 9812, "output": "根因：默认参数 `items=iter([1,2,3])` 在函数定义时只求值一次，生成一个迭代器对象。多次调用时，该迭代器会被复用，第一次调用后迭代器耗尽，后续调用 `sum(items)` 会得到空迭代器的和 0（而非空列表，但实际返回 0，与描述“空列表”含义一致）。最小修复：将默认参数改为 `None`，在函数内部按需创建新迭代器，避免状态残留。\n\nFIX: def summarize(items=None):", "usage": {"prompt_tokens": 110, "completion_tokens": 578, "total_tokens": 688, "cost": 0.000124068, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000124068, "upstream_inference_prompt_cost": 1.078e-05, "upstream_inference_completions_cost": 0.000113288}, "completion_tokens_details": {"reasoning_tokens": 458, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610587-rPbOzPdLjfcZ3OuxA0wY", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*def\\s+summarize\\(items=None\\)\\s*:"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:49:54.683697+00:00", "latency_ms": 4846, "output": "根因：defaultdict的工厂函数返回了同一个可变对象 `shared`，导致所有用户共享同一个 `'seen'` 列表，因此事件计数互相影响。 \n最小修复：在工厂函数中每次创建一个新的字典，即 `lambda: {'seen': []}`。 \n\nFIX: counts = defaultdict(lambda: {'seen': []})", "usage": {"prompt_tokens": 118, "completion_tokens": 322, "total_tokens": 440, "cost": 0.000102108, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000102108, "upstream_inference_prompt_cost": 1.5812e-05, "upstream_inference_completions_cost": 8.6296e-05}, "completion_tokens_details": {"reasoning_tokens": 247, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610596-SuY0AOSAgKFbel4CmYiP", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:49:59.543051+00:00", "latency_ms": 12017, "output": "Bug: `range` 的结束值 `len(items) - page_size` 导致当剩余元素不足 `page_size` 时，最后一页被跳过。应改为 `len(items)` 或使用 `range(0, len(items), page_size)`。\n\nFIX: `for start in range(0, len(items), page_size):`", "usage": {"prompt_tokens": 116, "completion_tokens": 75, "total_tokens": 191, "cost": 3.6974e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.6974e-05, "upstream_inference_prompt_cost": 1.6124e-05, "upstream_inference_completions_cost": 2.085e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610601-3Q3bQlIY5tVTqpmM0KqX", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:11.575145+00:00", "latency_ms": 19503, "output": "Bug: `sorted()` 默认按字典序排序字符串，而非按数值大小。应使用 `key=int` 转换为整数排序。\n\nFIX: return sorted(ids, key=int)", "usage": {"prompt_tokens": 83, "completion_tokens": 108, "total_tokens": 191, "cost": 4.186e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.186e-05, "upstream_inference_prompt_cost": 1.162e-05, "upstream_inference_completions_cost": 3.024e-05}, "completion_tokens_details": {"reasoning_tokens": 66, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610613-iecmxRX7VuunxKwWnPok", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:31.095121+00:00", "latency_ms": 1938, "output": "Bug: 缓存键只使用了函数名，没有包含参数，导致不同参数调用返回相同结果。\n\n最小修复：将参数也加入键中。\n\nFIX: `key = (fn.__name__, args, tuple(sorted(kwargs.items())))`", "usage": {"prompt_tokens": 121, "completion_tokens": 55, "total_tokens": 176, "cost": 2.31e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.31e-05, "upstream_inference_prompt_cost": 1.21e-05, "upstream_inference_completions_cost": 1.1e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610633-7Uk61w3TOpK1j3Iwo8mN", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:33.048938+00:00", "latency_ms": 8642, "output": "Bug: `copied = items` 只是给列表起别名，并未创建浅拷贝，因此对 `copied` 的修改也影响了原列表 `items`。最小修复是使用切片 `items[:]` 或 `items.copy()` 或 `list(items)` 进行浅拷贝。\n\nFIX: `copied = items[:]`", "usage": {"prompt_tokens": 111, "completion_tokens": 200, "total_tokens": 311, "cost": 5.0078e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.0078e-05, "upstream_inference_prompt_cost": 1.0878e-05, "upstream_inference_completions_cost": 3.92e-05}, "completion_tokens_details": {"reasoning_tokens": 123, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610635-99EkndXNeS3UZqOin9un", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:41.706415+00:00", "latency_ms": 5758, "output": "Bug: `json.loads()` 期望字符串，但传入 `dict` 时抛出 `TypeError`。最小修复：检查 `payload` 类型，若是字符串则解析，否则直接使用。\n\nFIX: `data = json.loads(payload) if isinstance(payload, str) else payload`", "usage": {"prompt_tokens": 98, "completion_tokens": 367, "total_tokens": 465, "cost": 0.0001155, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.0001155, "upstream_inference_prompt_cost": 1.274e-05, "upstream_inference_completions_cost": 0.00010276}, "completion_tokens_details": {"reasoning_tokens": 301, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610643-TV5myJQEr3Ig3ABCWgl2", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:47.480228+00:00", "latency_ms": 8541, "output": "bug: finally 块中的 `return None` 会覆盖 try 块中的 `return 42`，导致函数始终返回 None。最小修复是删除 finally 块中的 `return None` 语句，或者将其替换为 `pass` 或其他不影响返回值的代码。\n\nFIX: 删除 `return None` 行", "usage": {"prompt_tokens": 116, "completion_tokens": 236, "total_tokens": 352, "cost": 5.7624e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.7624e-05, "upstream_inference_prompt_cost": 1.1368e-05, "upstream_inference_completions_cost": 4.6256e-05}, "completion_tokens_details": {"reasoning_tokens": 165, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610649-bCAgFnO7cE3SUf2tI3oz", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"matched": ["删除 finally 块中的 `return None`"]}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-001", "suite": "reasoning", "case_version": "0.2.0", "tags": ["arithmetic", "multi-step"], "scorer": "exact", "expected": {"answer": "125", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:56.035744+00:00", "latency_ms": 1469, "output": "200", "usage": {"prompt_tokens": 100, "completion_tokens": 2, "total_tokens": 102, "cost": 1.4456e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.4456e-05, "upstream_inference_prompt_cost": 1.39e-05, "upstream_inference_completions_cost": 5.56e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610658-HEqqPYSNyr0PzOuhzewB", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "125", "actual": "200"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-002", "suite": "reasoning", "case_version": "0.2.0", "tags": ["constraint-solving"], "scorer": "exact", "expected": {"answer": "D", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:50:57.519043+00:00", "latency_ms": 3300, "output": "C", "usage": {"prompt_tokens": 92, "completion_tokens": 2, "total_tokens": 94, "cost": 1.0752e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.0752e-05, "upstream_inference_prompt_cost": 1.0304e-05, "upstream_inference_completions_cost": 4.48e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610659-DCuejbTbQmxt59CzbeZD", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"expected": "D", "actual": "C"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-003", "suite": "reasoning", "case_version": "0.2.0", "tags": ["binary", "symbolic"], "scorer": "exact", "expected": {"answer": "0", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:00.832741+00:00", "latency_ms": 3048, "output": "0", "usage": {"prompt_tokens": 79, "completion_tokens": 110, "total_tokens": 189, "cost": 4.186e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.186e-05, "upstream_inference_prompt_cost": 1.106e-05, "upstream_inference_completions_cost": 3.08e-05}, "completion_tokens_details": {"reasoning_tokens": 107, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610663-XwJKsORS2J62pUNzl7Vs", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"expected": "0", "actual": "0"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-004", "suite": "reasoning", "case_version": "0.2.0", "tags": ["set", "operations"], "scorer": "exact", "expected": {"answer": "18", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:03.895293+00:00", "latency_ms": 3388, "output": "18", "usage": {"prompt_tokens": 85, "completion_tokens": 123, "total_tokens": 208, "cost": 4.634e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.634e-05, "upstream_inference_prompt_cost": 1.19e-05, "upstream_inference_completions_cost": 3.444e-05}, "completion_tokens_details": {"reasoning_tokens": 109, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610666-hCtDVKufuCQO9LJJui7i", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"expected": "18", "actual": "18"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:07.296941+00:00", "latency_ms": 1023, "output": "可满足", "usage": {"prompt_tokens": 98, "completion_tokens": 3, "total_tokens": 101, "cost": 1.04e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.04e-05, "upstream_inference_prompt_cost": 9.8e-06, "upstream_inference_completions_cost": 6e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610669-RgzoM8052S2zG7kmPcV7", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:08.333558+00:00", "latency_ms": 3023, "output": "根据资料 B，v0.2 不会默认使用 LLM-as-judge。", "usage": {"prompt_tokens": 154, "completion_tokens": 91, "total_tokens": 245, "cost": 4.55e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.55e-05, "upstream_inference_prompt_cost": 2.002e-05, "upstream_inference_completions_cost": 2.548e-05}, "completion_tokens_details": {"reasoning_tokens": 71, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610670-bkHGAebtstQ8ePsNQh4X", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": ["人工抽检"], "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:11.370968+00:00", "latency_ms": 2172, "output": "资料更支持选择模型 Beta，因为其成本更低（0.02 美元）且延迟更短（3 秒），更适合低成本高吞吐场景。多模态表现无法判断，因为资料未提供相关信息。", "usage": {"prompt_tokens": 132, "completion_tokens": 147, "total_tokens": 279, "cost": 5.964e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.964e-05, "upstream_inference_prompt_cost": 1.848e-05, "upstream_inference_completions_cost": 4.116e-05}, "completion_tokens_details": {"reasoning_tokens": 129, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610673-6o10FBQPMUy6nVPlCJ3b", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 76, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:13.549083+00:00", "latency_ms": 5784, "output": "K模型在 hard set 上原始通过 47/50，其中 2 题因题面歧义复测通过，另有 1 题因 reasoning tokens 用尽未输出，因此实际有效通过率应修正为 49/50（98%），或剔除歧义题后为 47/48（约 97.9%）。", "usage": {"prompt_tokens": 120, "completion_tokens": 343, "total_tokens": 463, "cost": 0.00011164, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00011164, "upstream_inference_prompt_cost": 1.56e-05, "upstream_inference_completions_cost": 9.604e-05}, "completion_tokens_details": {"reasoning_tokens": 265, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610675-0zXb6PdPME4RXLzyxQX2", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 122, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:19.344360+00:00", "latency_ms": 3212, "output": "不能。根据资料，报告不包含供应商真实利润率。", "usage": {"prompt_tokens": 98, "completion_tokens": 70, "total_tokens": 168, "cost": 4.116e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.116e-05, "upstream_inference_prompt_cost": 1.666e-05, "upstream_inference_completions_cost": 2.45e-05}, "completion_tokens_details": {"reasoning_tokens": 56, 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"debugging": {"type": "integer"}, "rag": {"type": "integer"}}}, "note": {"type": "string"}}}}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:22.569699+00:00", "latency_ms": 2251, "output": "{\"status\":\"review\",\"scores\":{\"coding\":8,\"debugging\":7,\"rag\":9},\"note\":\"表现良好，略有不足\"}", "usage": {"prompt_tokens": 80, "completion_tokens": 86, "total_tokens": 166, "cost": 3.3516e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.3516e-05, "upstream_inference_prompt_cost": 1.064e-05, "upstream_inference_completions_cost": 2.2876e-05}, "completion_tokens_details": {"reasoning_tokens": 54, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610684-LRrj2fRncmKStdkSd0wO", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"errors": [], "value": {"status": "review", "scores": {"coding": 8, "debugging": 7, "rag": 9}, "note": "表现良好，略有不足"}}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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*$", "flags": "is"}, "model": "deepseek/deepseek-v4-flash", "provider": null, "prompt": "只输出 4 行，不要解释。第 1 行是 BEGIN，第 4 行是 END。第 2 行必须包含“模型评测”，第 3 行必须包含“HTML报告”。不能出现任何项目符号。", "parameters": {"temperature": 0, "max_tokens": 16384, "seed": null}, "prompt_hash": "773b2e7398be979e738e08c3c8486ca69bae0f71d9a2abe3430cef775f5a59fb", "started_at": "2026-06-16T11:51:24.834609+00:00", "latency_ms": 3500, "output": "BEGIN\n模型评测\nHTML报告\nEND", "usage": {"prompt_tokens": 100, "completion_tokens": 61, "total_tokens": 161, "cost": 2.1756e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.1756e-05, "upstream_inference_prompt_cost": 9.8e-06, "upstream_inference_completions_cost": 1.1956e-05}, "completion_tokens_details": {"reasoning_tokens": 50, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610687-pJ4U0cJEaMZ5nRugzOFS", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "^\\s*BEGIN\\s*\\n[^\\n]*模型评测[^\\n]*\\n[^\\n]*HTML报告[^\\n]*\\nEND\\s*$"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:28.347841+00:00", "latency_ms": 2968, "output": "这道难题的区分度设计得恰到好处。", "usage": {"prompt_tokens": 65, "completion_tokens": 71, "total_tokens": 136, "cost": 2.833e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.833e-05, "upstream_inference_prompt_cost": 8.45e-06, "upstream_inference_completions_cost": 1.988e-05}, "completion_tokens_details": {"reasoning_tokens": 59, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610690-J3uPuUT76xJs1GmPOUq8", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 16, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:31.330038+00:00", "latency_ms": 6634, "output": "简单题满分，未必代表真实能力。模型在训练数据覆盖的题型上表现优异，但遇到未见过的新场景，往往暴露短板。例如，某模型在基础算术题全对，却在“3个苹果分给4人”的分配问题上出错。这类失败样例提醒我们：高分不等于强智能，测试设计需更贴近真实挑战。", "usage": {"prompt_tokens": 71, "completion_tokens": 77, "total_tokens": 148, "cost": 3.15e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.15e-05, "upstream_inference_prompt_cost": 9.94e-06, "upstream_inference_completions_cost": 2.156e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610695-EeQyfKB59wkugATsmgva", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 120, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:37.970181+00:00", "latency_ms": 16684, "output": "该模型表面性能优异，但在复杂调试场景下稳定性不足。", "usage": {"prompt_tokens": 79, "completion_tokens": 399, "total_tokens": 478, "cost": 0.000116641, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000116641, "upstream_inference_prompt_cost": 1.0507e-05, "upstream_inference_completions_cost": 0.000106134}, "completion_tokens_details": {"reasoning_tokens": 383, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610700-KCu9ilpvptfSaBsNiyjq", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 25, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:54.659437+00:00", "latency_ms": 2233, "output": "def solve(events: list[dict]) -> dict[str, int]:\n inventory = {}\n for event in events:\n user = event[\"user\"]\n amount = int(event[\"amount\"])\n if event[\"type\"] == \"add\":\n inventory[user] = inventory.get(user, 0) + amount\n else:\n inventory[user] = inventory.get(user, 0) - amount\n return {k: v for k, v in sorted(inventory.items()) if v != 0}", "usage": {"prompt_tokens": 110, "completion_tokens": 108, "total_tokens": 218, "cost": 3.26e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.26e-05, "upstream_inference_prompt_cost": 1.1e-05, "upstream_inference_completions_cost": 2.16e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610716-1w5dECHGldugnZ8peIG8", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:51:56.926105+00:00", "latency_ms": 3656, "output": "\n```python\ndef solve(expr: str) -> int:\n expr = expr.replace(' ', '')\n stack = []\n num = 0\n sign = 1\n result = 0\n i = 0\n while i < len(expr):\n c = expr[i]\n if c.isdigit():\n num = 0\n while i < len(expr) and expr[i].isdigit():\n num = num * 10 + int(expr[i])\n i += 1\n result += sign * num\n continue\n elif c == '+':\n sign = 1\n elif c == '-':\n sign = -1\n elif c == '(':\n stack.append(result)\n stack.append(sign)\n result = 0\n sign = 1\n elif c == ')':\n result = stack.pop() * result + stack.pop()\n i += 1\n return result\n```", "usage": {"prompt_tokens": 72, "completion_tokens": 204, "total_tokens": 276, "cost": 4.8e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.8e-05, "upstream_inference_prompt_cost": 7.2e-06, "upstream_inference_completions_cost": 4.08e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610719-3A9H3IM6sy1agCDnP5mg", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:52:00.601064+00:00", "latency_ms": 24000, "output": "```python\ndef solve(rows: list[str]) -> list[tuple[str, int]]:\n scores = {}\n for line in rows:\n line = line.strip()\n if not line:\n continue\n name, score_str = line.split()\n score = int(score_str)\n if name not in scores or score > scores[name]:\n scores[name] = score\n return sorted(scores.items(), key=lambda x: (-x[1], x[0]))\n```", "usage": {"prompt_tokens": 90, "completion_tokens": 519, "total_tokens": 609, "cost": 0.00015792, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00015792, "upstream_inference_prompt_cost": 1.26e-05, "upstream_inference_completions_cost": 0.00014532}, "completion_tokens_details": {"reasoning_tokens": 416, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610722-EARIU1GvQSKc3TVOwa6v", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:52:24.665146+00:00", "latency_ms": 7107, "output": "```python\ndef solve(pattern: str, text: str) -> bool:\n i, j = 0, 0\n star_idx = -1\n match = 0\n while j < len(text):\n if i < len(pattern) and (pattern[i] == text[j] or pattern[i] == '?'):\n i += 1\n j += 1\n elif i < len(pattern) and pattern[i] == '*':\n star_idx = i\n match = j\n i += 1\n elif star_idx != -1:\n i = star_idx + 1\n match += 1\n j = match\n else:\n return False\n while i < len(pattern) and pattern[i] == '*':\n i += 1\n return i == len(pattern)\n```", "usage": {"prompt_tokens": 73, "completion_tokens": 542, "total_tokens": 615, "cost": 0.000155038, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000155038, "upstream_inference_prompt_cost": 9.782e-06, "upstream_inference_completions_cost": 0.000145256}, "completion_tokens_details": {"reasoning_tokens": 363, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610746-fA2xcG1n7oc7QZYViub0", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:52:31.815531+00:00", "latency_ms": 18578, "output": "```python\ndef solve(tree: dict) -> list[str]:\n result = []\n \n def dfs(current, path):\n if not isinstance(current, dict):\n result.append(f\"{path}={current}\")\n return\n for key in sorted(current.keys()):\n dfs(current[key], f\"{path}.{key}\" if path else key)\n \n dfs(tree, \"\")\n return sorted(result)\n```", "usage": {"prompt_tokens": 94, "completion_tokens": 213, "total_tokens": 307, "cost": 7.28e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 7.28e-05, "upstream_inference_prompt_cost": 1.316e-05, "upstream_inference_completions_cost": 5.964e-05}, "completion_tokens_details": {"reasoning_tokens": 128, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610754-34zcHKRKii7tmNwV23uR", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:52:50.541882+00:00", "latency_ms": 14778, "output": "```python\ndef solve(nums: list[int]) -> int:\n n = len(nums)\n dp0 = dp1 = -10**9\n ans = -10**9\n for x in nums:\n dp1 = max(dp1 + x, dp0, x)\n dp0 = max(dp0 + x, x)\n ans = max(ans, dp1)\n return ans\n```", "usage": {"prompt_tokens": 76, "completion_tokens": 87, "total_tokens": 163, "cost": 2.8e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.8e-05, "upstream_inference_prompt_cost": 8.512e-06, "upstream_inference_completions_cost": 1.9488e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610772-WBSXIQHLMmaj7eRD6BwR", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:53:05.364695+00:00", "latency_ms": 8650, "output": "bug：`split(',')` 会保留连续逗号之间的空字符串，而列表推导式没有过滤掉这些空字段（strip 后仍为空），导致空字段被保留在结果中。最小修复是在列表推导式中增加 `if part.strip()` 条件，过滤掉空字符串或仅含空白的字段。\n\nFIX: `return [part.strip() for part in s.split(',') if part.strip()]`", "usage": {"prompt_tokens": 96, "completion_tokens": 668, "total_tokens": 764, "cost": 0.00020048, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00020048, "upstream_inference_prompt_cost": 1.344e-05, "upstream_inference_completions_cost": 0.00018704}, "completion_tokens_details": {"reasoning_tokens": 575, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610787-bBQVzp4jWPKd17dwrNl4", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:53:14.023636+00:00", "latency_ms": 10434, "output": "Bug: `r['ts']` 是字符串，但时间戳长度可能不同（如 \"999\" 和 \"1000\"），字典序排序会错误地认为 \"1000\" < \"999\"，无法按数值大小正确排序。最小修复：将字符串转换为整数进行比较。\n\nFIX: `rows.sort(key=lambda r: int(r['ts']))`", "usage": {"prompt_tokens": 83, "completion_tokens": 800, "total_tokens": 883, "cost": 0.000164934, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000164934, "upstream_inference_prompt_cost": 8.134e-06, "upstream_inference_completions_cost": 0.0001568}, "completion_tokens_details": {"reasoning_tokens": 721, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610796-8PvrPh4rGSNKK4244Clt", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"matched": ["int(r['ts'])", "key=lambda r: int(r['ts'])"]}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:53:24.472644+00:00", "latency_ms": 17081, "output": "bug: 当传入 `limit=0` 时，`0` 为假值，`limit or 10` 会返回 `10`，导致误判。\n\nFIX: `limit = limit if limit is not None else 10`", "usage": {"prompt_tokens": 96, "completion_tokens": 169, "total_tokens": 265, "cost": 6.076e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 6.076e-05, "upstream_inference_prompt_cost": 1.344e-05, "upstream_inference_completions_cost": 4.732e-05}, "completion_tokens_details": {"reasoning_tokens": 113, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610806-zhLAe88DvzbZHLuzazTL", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:53:41.564272+00:00", "latency_ms": 27022, "output": "Bug 在于 `dict(config)` 只进行了浅拷贝，内部嵌套的字典（如 `config['db']`）仍然是原对象的引用，修改 `copied['db']['host']` 时会同时影响原始配置。最小修复是使用深拷贝。\n\nFIX: copied = __import__('copy').deepcopy(config)", "usage": {"prompt_tokens": 99, "completion_tokens": 732, "total_tokens": 831, "cost": 0.00021882, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00021882, "upstream_inference_prompt_cost": 1.386e-05, "upstream_inference_completions_cost": 0.00020496}, "completion_tokens_details": {"reasoning_tokens": 660, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610823-aCfofGTsy6p3NSePEQIS", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:08.600971+00:00", "latency_ms": 5747, "output": "代码中的 `next()` 函数在生成器为空时会抛出 `StopIteration`，不符合“找不到时返回 None”的常见预期。最小修复是为 `next()` 提供默认值 `None`。\n\nFIX: return next((u for u in users if u['name'] == name), None)", "usage": {"prompt_tokens": 97, "completion_tokens": 337, "total_tokens": 434, "cost": 0.00010697, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00010697, "upstream_inference_prompt_cost": 1.261e-05, "upstream_inference_completions_cost": 9.436e-05}, "completion_tokens_details": {"reasoning_tokens": 271, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610850-KPI1uH80AdwlaCuCwBB3", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:14.362562+00:00", "latency_ms": 1412, "output": "bug: 默认参数 `logs=[]` 在函数定义时只创建一次，多次调用会共享同一个列表。\n\n最小修复：将默认参数改为 `None`，在函数内部创建新列表。\n\nFIX: `def log_request(req, logs=None):`", "usage": {"prompt_tokens": 96, "completion_tokens": 58, "total_tokens": 154, "cost": 2.968e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.968e-05, "upstream_inference_prompt_cost": 1.344e-05, "upstream_inference_completions_cost": 1.624e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610856-14qqm8RVyewsvsecegsr", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-006", "suite": "reasoning", "case_version": "0.2.0", "tags": ["symbolic", "sequence"], "scorer": "exact", "expected": {"answer": "3", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:15.789084+00:00", "latency_ms": 827, "output": "3", "usage": {"prompt_tokens": 85, "completion_tokens": 2, "total_tokens": 87, "cost": 1.246e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.246e-05, "upstream_inference_prompt_cost": 1.19e-05, "upstream_inference_completions_cost": 5.6e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610858-StE0Xq0oifEyU3JMyGOF", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"expected": "3", "actual": "3"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-007", "suite": "reasoning", "case_version": "0.2.0", "tags": ["percentage", "metrics"], "scorer": "exact", "expected": {"answer": "120", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:16.629917+00:00", "latency_ms": 11321, "output": "120", "usage": {"prompt_tokens": 61, "completion_tokens": 119, "total_tokens": 180, "cost": 4.186e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.186e-05, "upstream_inference_prompt_cost": 8.54e-06, "upstream_inference_completions_cost": 3.332e-05}, "completion_tokens_details": {"reasoning_tokens": 144, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610858-MtzDV200Lh2nlL1glrSy", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:27.965591+00:00", "latency_ms": 2348, "output": "讨论“模型真实能力”应优先引用 ability mode；讨论“低预算可用性”应优先引用 efficiency mode。", "usage": {"prompt_tokens": 126, "completion_tokens": 116, "total_tokens": 242, "cost": 5.012e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.012e-05, "upstream_inference_prompt_cost": 1.764e-05, "upstream_inference_completions_cost": 3.248e-05}, "completion_tokens_details": {"reasoning_tokens": 129, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610870-WXbizQKfsYHHT6iFIe3L", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 61, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:30.326662+00:00", "latency_ms": 2227, "output": "根因是模型擅自假设 key 为整数类型，导致类型不匹配。", "usage": {"prompt_tokens": 90, "completion_tokens": 87, "total_tokens": 177, "cost": 3.696e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.696e-05, "upstream_inference_prompt_cost": 1.26e-05, "upstream_inference_completions_cost": 2.436e-05}, "completion_tokens_details": {"reasoning_tokens": 91, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610872-CeKKJz383GfmrENtfPdP", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:32.562348+00:00", "latency_ms": 1783, "output": "根据资料，报告目前展示Summary、By Suite、Failure Examples和Case Details，未提及图表功能，因此不支持图表。", "usage": {"prompt_tokens": 100, "completion_tokens": 60, "total_tokens": 160, "cost": 2.926e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.926e-05, "upstream_inference_prompt_cost": 1.33e-05, "upstream_inference_completions_cost": 1.596e-05}, "completion_tokens_details": {"reasoning_tokens": 32, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610874-mbviFZUHqoFv6Blzd2Uw", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 74, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": 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"model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:50.657599+00:00", "latency_ms": 1907, "output": "| 模式 | 用途 | 风险 |\n|------|------|------|\n| ability mode | 最大化模型能力，处理复杂任务 | 可能产生不可预测或有害输出 |\n| efficiency mode | 优化资源使用，快速响应 | 可能降低任务完成质量或准确性 |", "usage": {"prompt_tokens": 66, "completion_tokens": 102, "total_tokens": 168, "cost": 3.78e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.78e-05, "upstream_inference_prompt_cost": 9.24e-06, "upstream_inference_completions_cost": 2.856e-05}, "completion_tokens_details": {"reasoning_tokens": 60, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610892-ClxQ837wXeeOFzWWikXF", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:54:52.579269+00:00", "latency_ms": 8297, "output": "展示**原题**与模型输出，直观对比差异；配合**错误解释**，精准定位模型盲区；三者结合形成**可复查**的闭环，助力持续优化。透明化输出机制，让改进有据可循，学习更高效。", "usage": {"prompt_tokens": 74, "completion_tokens": 189, "total_tokens": 263, "cost": 4.4296e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.4296e-05, "upstream_inference_prompt_cost": 7.252e-06, "upstream_inference_completions_cost": 3.7044e-05}, "completion_tokens_details": {"reasoning_tokens": 132, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781610894-632wHncKDeVW01Oq4rxx", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 87, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"case_id": "challenge-reasoning-008", "suite": "reasoning", "case_version": "0.3.0", "tags": ["state-tracking", "branching"], "scorer": "exact", "expected": {"answer": "15", "normalize": true}, "model": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:56:54.346068+00:00", "latency_ms": 3135, "output": "```python\ndef solve(line: str) -> list[str]:\n fields = []\n current = []\n in_quotes = False\n i = 0\n n = len(line)\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 continue\n else:\n in_quotes = False\n i += 1\n continue\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 fields.append(''.join(current))\n return fields\n```", "usage": {"prompt_tokens": 98, "completion_tokens": 337, "total_tokens": 435, "cost": 0.000103448, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000103448, "upstream_inference_prompt_cost": 1.3132e-05, "upstream_inference_completions_cost": 9.0316e-05}, "completion_tokens_details": {"reasoning_tokens": 128, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611016-wInTW7qlksOTez723s5p", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:56:57.519406+00:00", "latency_ms": 23832, "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 = []\n cur_start, cur_end = intervals[0]\n for s, e in intervals[1:]:\n if s <= cur_end + 1:\n cur_end = max(cur_end, e)\n else:\n merged.append((cur_start, cur_end))\n cur_start, cur_end = s, e\n merged.append((cur_start, cur_end))\n return merged\n```", "usage": {"prompt_tokens": 103, "completion_tokens": 390, "total_tokens": 493, "cost": 0.00012362, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00012362, "upstream_inference_prompt_cost": 1.442e-05, "upstream_inference_completions_cost": 0.0001092}, "completion_tokens_details": {"reasoning_tokens": 259, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611019-rFYn5sHWESRF5dBPogoi", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:57:21.398877+00:00", "latency_ms": 7594, "output": "```python\nfrom collections import deque, defaultdict\n\ndef solve(events: list[tuple[str, int]], window: int, limit: int) -> list[bool]:\n accepted = {} # user -> deque of accepted timestamps\n result = []\n for user, ts in events:\n if user not in accepted:\n accepted[user] = deque()\n dq = accepted[user]\n # remove timestamps <= ts - window\n while dq and dq[0] <= ts - window:\n dq.popleft()\n if len(dq) < limit:\n dq.append(ts)\n result.append(True)\n else:\n result.append(False)\n return result\n```", "usage": {"prompt_tokens": 133, "completion_tokens": 359, "total_tokens": 492, "cost": 8.3398e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 8.3398e-05, "upstream_inference_prompt_cost": 1.3034e-05, "upstream_inference_completions_cost": 7.0364e-05}, "completion_tokens_details": {"reasoning_tokens": 205, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611043-Y90a5TVB6zE4qlbqmwJf", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:57:29.030931+00:00", "latency_ms": 1689, "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 if part == '..':\n if stack:\n stack.pop()\n else:\n stack.append(part)\n result = '/' + '/'.join(stack)\n return result if result != '/' else result.rstrip('/')\n```", "usage": {"prompt_tokens": 95, "completion_tokens": 91, "total_tokens": 186, "cost": 3.878e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 3.878e-05, "upstream_inference_prompt_cost": 1.33e-05, "upstream_inference_completions_cost": 2.548e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611051-jptkJwg4YURPNuebfUmJ", "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-pidypxj2/test_solution.py\", line 5, in \n assert solution.solve('/') == '/'\nAssertionError\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:57:30.766316+00:00", "latency_ms": 7040, "output": "```python\ndef solve(words: list[str]) -> list[list[str]]:\n groups = {}\n order = []\n for word in words:\n key = ''.join(sorted(word))\n if key not in groups:\n groups[key] = []\n order.append(key)\n groups[key].append(word)\n return [groups[key] for key in order]\n```", "usage": {"prompt_tokens": 80, "completion_tokens": 525, "total_tokens": 605, "cost": 0.00015029, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00015029, "upstream_inference_prompt_cost": 1.064e-05, "upstream_inference_completions_cost": 0.00013965}, "completion_tokens_details": {"reasoning_tokens": 447, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611053-SDYZ3dAaOazjyKnC5TPT", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:57:37.852155+00:00", "latency_ms": 19598, "output": "```python\ndef solve(text: str) -> dict:\n lines = text.splitlines()\n if not lines or lines[0].strip() != \"---\":\n return {}\n end_idx = None\n for i in range(1, len(lines)):\n if lines[i].strip() == \"---\":\n end_idx = i\n break\n if end_idx is None:\n return {}\n front_lines = lines[1:end_idx]\n result = {}\n for line in front_lines:\n line = line.strip()\n if not line or ':' not in line:\n continue\n key, _, value = line.partition(':')\n key = key.strip()\n value = value.strip()\n if not key:\n continue\n if value.startswith('[') and value.endswith(']'):\n inner = value[1:-1].strip()\n result[key] = [item.strip() for item in inner.split(',')] if inner else []\n else:\n result[key] = value\n return result\n```", "usage": {"prompt_tokens": 113, "completion_tokens": 1751, "total_tokens": 1864, "cost": 0.00048441, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00048441, "upstream_inference_prompt_cost": 1.5142e-05, "upstream_inference_completions_cost": 0.000469268}, "completion_tokens_details": {"reasoning_tokens": 1529, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611060-AN0oWlwXeG9PK2jsi598", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:57:57.491654+00:00", "latency_ms": 7899, "output": "```python\ndef solve(items: list[str], k: int) -> list[str]:\n count = {}\n first_index = {}\n for idx, item in enumerate(items):\n if item not in count:\n count[item] = 0\n first_index[item] = idx\n count[item] += 1\n sorted_items = sorted(count.items(), key=lambda x: (-x[1], first_index[x[0]]))\n k = min(k, len(sorted_items))\n return [item for item, _ in sorted_items[:k]]\n```", "usage": {"prompt_tokens": 81, "completion_tokens": 562, "total_tokens": 643, "cost": 0.0001687, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.0001687, "upstream_inference_prompt_cost": 1.134e-05, "upstream_inference_completions_cost": 0.00015736}, "completion_tokens_details": {"reasoning_tokens": 441, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611079-myf7TPU72Ppv57hlNFHd", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:58:05.429604+00:00", "latency_ms": 2362, "output": "```python\ndef solve(config: dict, overrides: dict[str, object]) -> dict:\n import copy\n result = copy.deepcopy(config)\n for path, value in overrides.items():\n keys = path.split('.')\n d = result\n for key in keys[:-1]:\n if key not in d or not isinstance(d[key], dict):\n d[key] = {}\n d = d[key]\n if value is None:\n d.pop(keys[-1], None)\n else:\n d[keys[-1]] = value\n return result\n```", "usage": {"prompt_tokens": 92, "completion_tokens": 123, "total_tokens": 215, "cost": 4.6982e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.6982e-05, "upstream_inference_prompt_cost": 1.2788e-05, "upstream_inference_completions_cost": 3.4194e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611087-5sTZdpH4nEr22xuwR5Kw", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:58:07.838191+00:00", "latency_ms": 12021, "output": "```python\nfrom urllib.parse import unquote_plus\n\ndef solve(query: str) -> dict[str, list[str]]:\n result = {}\n if not query:\n return result\n for part in query.split('&'):\n if '=' in part:\n key, value = part.split('=', 1)\n else:\n key, value = part, ''\n key = unquote_plus(key)\n value = unquote_plus(value)\n result.setdefault(key, []).append(value)\n return result\n```", "usage": {"prompt_tokens": 100, "completion_tokens": 114, "total_tokens": 214, "cost": 4.592e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.592e-05, "upstream_inference_prompt_cost": 1.4e-05, "upstream_inference_completions_cost": 3.192e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611090-y8tYQVvZYBhN37Hu70Fd", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:58:19.920131+00:00", "latency_ms": 9383, "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 i += 1\n continue\n # 遇到 '<'\n i += 1\n if i >= n:\n return False\n if html[i] == '/':\n # 结束标签 \n i += 1\n j = i\n while j < n and html[j].isalpha():\n j += 1\n if j >= n or html[j] != '>':\n return False\n name = html[i:j]\n if not stack or stack.pop() != name:\n return False\n i = j + 1\n else:\n # 开始或自闭合\n j = i\n while j < n and html[j].isalpha():\n j += 1\n if j >= n:\n return False\n name = html[i:j]\n if html[j] == '/':\n # 自闭合 \n if j + 1 >= n or html[j+1] != '>':\n return False\n i = j + 2\n elif html[j] == '>':\n # 开始 \n stack.append(name)\n i = j + 1\n else:\n return False\n return len(stack) == 0\n```", "usage": {"prompt_tokens": 89, "completion_tokens": 746, "total_tokens": 835, "cost": 0.000211854, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000211854, "upstream_inference_prompt_cost": 1.1926e-05, "upstream_inference_completions_cost": 0.000199928}, "completion_tokens_details": {"reasoning_tokens": 432, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611102-RM2T3YW5byxk6IjWgPRQ", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:58:29.350786+00:00", "latency_ms": 8109, "output": "```python\nfrom collections import deque\n\ndef solve(grid: list[str]) -> int:\n rows, cols = len(grid), len(grid[0])\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 if not start or not end:\n return -1\n q = deque([(start[0], start[1], 0)])\n visited = [[False] * cols for _ in range(rows)]\n visited[start[0]][start[1]] = True\n dirs = [(1,0), (-1,0), (0,1), (0,-1)]\n while q:\n r, c, d = q.popleft()\n if (r, c) == end:\n return d\n for dr, dc in dirs:\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 q.append((nr, nc, d + 1))\n return -1\n```", "usage": {"prompt_tokens": 95, "completion_tokens": 289, "total_tokens": 384, "cost": 9.3547e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 9.3547e-05, "upstream_inference_prompt_cost": 1.3205e-05, "upstream_inference_completions_cost": 8.0342e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611111-mfl0TC5qWRY4Sx8D7ez4", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:58:37.509888+00:00", "latency_ms": 26616, "output": "```python\nfrom heapq import heappush, heappop\nfrom collections import Counter\nfrom typing import List\n\ndef solve(nums: List[int], k: int) -> List[float]:\n n = len(nums)\n if k == 0 or n == 0:\n return []\n res = []\n to_remove = Counter()\n small = [] # 最大堆（存负数）\n large = [] # 最小堆\n\n def clean(heap, is_small):\n while heap:\n val = -heap[0] if is_small else heap[0]\n if to_remove[val] > 0:\n to_remove[val] -= 1\n heappop(heap)\n else:\n break\n\n def balance():\n # 调整使得 len(small) >= len(large) 且相差不超过1\n while len(small) > len(large) + 1:\n heappush(large, -heappop(small))\n while len(large) > len(small):\n heappush(small, -heappop(large))\n\n def get_median():\n clean(small, True)\n clean(large, False)\n if k % 2 == 1:\n return float(-small[0])\n else:\n return (-small[0] + large[0]) / 2.0\n\n # 初始窗口\n for i in range(k):\n heappush(small, -nums[i])\n if large and -small[0] > large[0]:\n top_small = -heappop(small)\n top_large = heappop(large)\n heappush(small, -top_large)\n heappush(large, top_small)\n if len(small) > len(large) + 1:\n heappush(large, -heappop(small))\n elif len(large) > len(small):\n heappush(small, -heappop(large))\n\n res.append(get_median())\n\n # 滑动窗口\n for i in range(k, n):\n left = nums[i - k]\n right = nums[i]\n to_remove[left] += 1\n\n if not small or right <= -small[0]:\n heappush(small, -right)\n else:\n heappush(large, right)\n\n balance()\n clean(small, True)\n clean(large, False)\n balance()\n clean(small, True)\n clean(large, False)\n\n res.append(get_median())\n\n return res\n```", "usage": {"prompt_tokens": 84, "completion_tokens": 2375, "total_tokens": 2459, "cost": 0.000647756, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.000647756, "upstream_inference_prompt_cost": 1.1256e-05, "upstream_inference_completions_cost": 0.0006365}, "completion_tokens_details": {"reasoning_tokens": 1810, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611119-8vR9QO96AWDpWlaQGFYV", "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-4wjvgkqf/test_solution.py\", line 3, in \n assert solution.solve([1,3,-1,-3,5,3,6,7], 3) == [1, -1, -1, 3, 5, 6]\nAssertionError\n"}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:04.180826+00:00", "latency_ms": 14293, "output": "```python\ndef solve(versions: list[str]) -> list[str]:\n def parse(v: str):\n parts = v.split('.')\n major, minor = int(parts[0]), int(parts[1])\n if '-' in parts[2]:\n patch, label = parts[2].split('-', 1)\n patch = int(patch)\n return (major, minor, patch, 0, label)\n else:\n patch = int(parts[2])\n return (major, minor, patch, 1, '')\n return sorted(versions, key=parse)\n```", "usage": {"prompt_tokens": 105, "completion_tokens": 901, "total_tokens": 1006, "cost": 0.00026698, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00026698, "upstream_inference_prompt_cost": 1.47e-05, "upstream_inference_completions_cost": 0.00025228}, "completion_tokens_details": {"reasoning_tokens": 773, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611146-XC1Xumed38OKV1isXOTY", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:18.505293+00:00", "latency_ms": 5035, "output": "```python\ndef solve(deps: dict[str, list[str]], changed: list[str]) -> list[str]:\n # Build reverse dependency graph\n reverse_deps = {pkg: [] for pkg in 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 # Collect all packages that appear in deps or as dependencies\n all_pkgs = set(deps.keys())\n for dep_list in deps.values():\n all_pkgs.update(dep_list)\n \n # BFS/DFS to find all affected packages\n affected = set(changed)\n stack = list(changed)\n while stack:\n pkg = stack.pop()\n for dependent in reverse_deps.get(pkg, []):\n if dependent not in affected:\n affected.add(dependent)\n stack.append(dependent)\n \n return sorted(affected)\n```", "usage": {"prompt_tokens": 103, "completion_tokens": 219, "total_tokens": 322, "cost": 7.574e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 7.574e-05, "upstream_inference_prompt_cost": 1.442e-05, "upstream_inference_completions_cost": 6.132e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611160-8OkzOzJHb1IjgGYeQU9G", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:23.576576+00:00", "latency_ms": 11591, "output": "根据资料B，确认方案是v0.3-challenge100，在现有50题基础上新增50道题。资料C指出，新增题应先生成审题HTML，确认后再跑模型，不应立即消耗API。因此，下一步应新增50题，且不应立刻跑模型。", "usage": {"prompt_tokens": 125, "completion_tokens": 163, "total_tokens": 288, "cost": 4.4198e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.4198e-05, "upstream_inference_prompt_cost": 1.225e-05, "upstream_inference_completions_cost": 3.1948e-05}, "completion_tokens_details": {"reasoning_tokens": 100, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611165-AqSwtIhQjkcji7Pii4ht", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 105, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:35.181758+00:00", "latency_ms": 11342, "output": "不能。", "usage": {"prompt_tokens": 90, "completion_tokens": 3, "total_tokens": 93, "cost": 1.3344e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.3344e-05, "upstream_inference_prompt_cost": 1.251e-05, "upstream_inference_completions_cost": 8.34e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611177-G7pwLYnSPki0DvTW9lXr", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": ["用户满意度"], "missing_any": [["没有包含", "没有提供", "资料没有", "未包含"]], "present_forbidden": [], "char_count": 3, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:46.531853+00:00", "latency_ms": 9424, "output": "资料更支持选择模型 B。因为其延迟最低（4 秒），且没有超时失败，符合低延迟且稳定的要求。", "usage": {"prompt_tokens": 163, "completion_tokens": 151, "total_tokens": 314, "cost": 4.557e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.557e-05, "upstream_inference_prompt_cost": 1.5974e-05, "upstream_inference_completions_cost": 2.9596e-05}, "completion_tokens_details": {"reasoning_tokens": 120, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611188-xGvpggiN5Xkav8FTdMu4", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 45, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:55.970033+00:00", "latency_ms": 1714, "output": "不会。根据资料，max_chars/min_chars 只作为诊断信息记录，length_scored 为 false，不会因长度直接扣分。", "usage": {"prompt_tokens": 111, "completion_tokens": 33, "total_tokens": 144, "cost": 1.77e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.77e-05, "upstream_inference_prompt_cost": 1.11e-05, "upstream_inference_completions_cost": 6.6e-06}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611198-5iPww9CUYA9XmjEwo8Rj", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 70, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:57.694891+00:00", "latency_ms": 1194, "output": "46/50", "usage": {"prompt_tokens": 107, "completion_tokens": 50, "total_tokens": 157, "cost": 2.7738e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.7738e-05, "upstream_inference_prompt_cost": 1.4338e-05, "upstream_inference_completions_cost": 1.34e-05}, "completion_tokens_details": {"reasoning_tokens": 45, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611199-iDm2OXxpx1kxkez0cB7e", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T11:59:58.900680+00:00", "latency_ms": 2539, "output": "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**：定位具体评测用例。\n- **prompt_hash**：验证输入的一致性。\n- **parameters**：确保模型参数（如温度、top_p等）相同。\n- **scorer details**：了解评分逻辑和标准。\n- **output**：核对模型输出结果。\n- **latency_ms**：可辅助验证运行环境或性能差异。", "usage": {"prompt_tokens": 92, "completion_tokens": 99, "total_tokens": 191, "cost": 4.06e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.06e-05, "upstream_inference_prompt_cost": 1.288e-05, "upstream_inference_completions_cost": 2.772e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611201-HIlpec5cb7O0NEHKstZl", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 217, "length_ok": false, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:01.454953+00:00", "latency_ms": 1296, "output": "16384", "usage": {"prompt_tokens": 105, "completion_tokens": 3, "total_tokens": 108, "cost": 1.5429e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 1.5429e-05, "upstream_inference_prompt_cost": 1.4595e-05, "upstream_inference_completions_cost": 8.34e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611203-qu2dzesbk7X1ZQpwWGak", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:02.762524+00:00", "latency_ms": 2316, "output": "根据资料，rag-006 的失败直接涉及评分规则（未将 int 视为“整数”的同义表达），需要人工复查修正规则；而 coding-004 是代码运行时 ValueError，根因是类型转换错误，属于代码实现问题，不涉及评分规则本身。因此，rag-006 这类失败更需要人工复查评分规则，coding-004 不属于这种情况。", "usage": {"prompt_tokens": 110, "completion_tokens": 239, "total_tokens": 349, "cost": 8.232e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 8.232e-05, "upstream_inference_prompt_cost": 1.54e-05, "upstream_inference_completions_cost": 6.692e-05}, "completion_tokens_details": {"reasoning_tokens": 240, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611205-rp8tGd9ma1C7PU41OfKF", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 162, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:05.093555+00:00", "latency_ms": 1319, "output": "不能。", "usage": {"prompt_tokens": 79, "completion_tokens": 3, "total_tokens": 82, "cost": 8.5e-06, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 8.5e-06, "upstream_inference_prompt_cost": 7.9e-06, "upstream_inference_completions_cost": 6e-07}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611207-Jy3COgEtb5UKgpRGb4ec", "finish_reason": "stop", "score": {"passed": false, "score": 0.0, "details": {"missing": ["利润率"], "missing_any": [["不包含", "没有"]], "present_forbidden": [], "char_count": 3, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:06.426475+00:00", "latency_ms": 3399, "output": "根据资料，index 页**不应该**展示旧版本结果。当前展示范围是：仅显示最后这版 50 道题的 v0.2-challenge50 结果，且 token limit 统一为 ability16384。", "usage": {"prompt_tokens": 103, "completion_tokens": 140, "total_tokens": 243, "cost": 5.259e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.259e-05, "upstream_inference_prompt_cost": 1.339e-05, "upstream_inference_completions_cost": 3.92e-05}, "completion_tokens_details": {"reasoning_tokens": 90, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611208-Wb3DXEyT06pMQGkcGMUF", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 101, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:09.839555+00:00", "latency_ms": 4699, "output": "根据资料，这次失败应归因于**输出截断**（finish_reason 为 length），导致生成的代码不完整，缺少可执行的函数定义，从而引发 `module has no attribute solve` 错误。这不是算法逻辑错误，而是模型输出长度限制造成的格式问题。", "usage": {"prompt_tokens": 94, "completion_tokens": 62, "total_tokens": 156, "cost": 2.18e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 2.18e-05, "upstream_inference_prompt_cost": 9.4e-06, "upstream_inference_completions_cost": 1.24e-05}, "completion_tokens_details": {"reasoning_tokens": 0, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611212-24eOH8rSjQ8tmS8gAbNi", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"missing": [], "missing_any": [], "present_forbidden": [], "char_count": 136, "length_ok": true, "length_scored": false}}, "error": null, "rescored_from": "/Users/dracohu/REPO/dracobench/runs/v0.3-challenge100-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:14.548885+00:00", "latency_ms": 13242, "output": "根因：Python闭包延迟绑定，循环结束后变量 `i` 的值为2，所有lambda函数都引用同一个变量 `i`，因此调用时都返回2。最小修复：使用默认参数在定义时绑定当前 `i` 的值。\n\nFIX: funcs.append(lambda i=i: i)", "usage": {"prompt_tokens": 117, "completion_tokens": 255, "total_tokens": 372, "cost": 8.778e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 8.778e-05, "upstream_inference_prompt_cost": 1.638e-05, "upstream_inference_completions_cost": 7.14e-05}, "completion_tokens_details": {"reasoning_tokens": 253, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611216-McVOg22JfHPqGkEJ8oMB", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:27.802869+00:00", "latency_ms": 17290, "output": "bug 是 `__exit__` 返回了 `True`，导致异常被抑制。最小修复是将 `return True` 改为 `return False`。\n\nFIX: return False", "usage": {"prompt_tokens": 106, "completion_tokens": 217, "total_tokens": 323, "cost": 7.56e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 7.56e-05, "upstream_inference_prompt_cost": 1.484e-05, "upstream_inference_completions_cost": 6.076e-05}, "completion_tokens_details": {"reasoning_tokens": 176, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611230-I8u4VLyK9rQCc7Oiqsb2", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:45.106488+00:00", "latency_ms": 7599, "output": "Bug：`items` 是类属性，所有实例共享同一个列表。需要改为实例属性。\n\n最小修复：在 `__init__` 中初始化 `self.items = []`。\n\nFIX: self.items = []", "usage": {"prompt_tokens": 116, "completion_tokens": 149, "total_tokens": 265, "cost": 4.0572e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 4.0572e-05, "upstream_inference_prompt_cost": 1.1368e-05, "upstream_inference_completions_cost": 2.9204e-05}, "completion_tokens_details": {"reasoning_tokens": 100, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611247-wWrRIYiN0lvR2Qq8HDJA", "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-deepseek-deepseek-v4-flash-ability16384.jsonl", "scoring_policy": "text_rules_length_diagnostic_only+v03_alias_relaxations_round2"} {"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": "deepseek/deepseek-v4-flash", "provider": null, "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": "2026-06-16T12:00:52.717361+00:00", "latency_ms": 9566, "output": "Bug: 默认参数 `ts=datetime.utcnow()` 在函数定义时只计算一次，导致后续调用 `mark()` 始终使用同一个时间戳，而非每次调用的当前时间。\n\nFIX: `def mark(ts=None): return (datetime.utcnow() if ts is None else ts).isoformat()`", "usage": {"prompt_tokens": 105, "completion_tokens": 697, "total_tokens": 802, "cost": 0.00020881, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 0.00020881, "upstream_inference_prompt_cost": 1.365e-05, "upstream_inference_completions_cost": 0.00019516}, "completion_tokens_details": 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null}, "prompt_hash": "e9d483dafd7852b396cee6b27c6c25c888983460dba83c871f7f9a239dd601ef", "started_at": "2026-06-16T12:01:02.298494+00:00", "latency_ms": 2822, "output": "Bug: `s.strip().lower` 返回了方法对象本身，而不是调用结果，因为缺少括号。最小修复：加上括号调用 `lower()`。\n\nFIX: return s.strip().lower()", "usage": {"prompt_tokens": 83, "completion_tokens": 169, "total_tokens": 252, "cost": 5.6414e-05, "is_byok": false, "prompt_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0, "audio_tokens": 0, "video_tokens": 0}, "cost_details": {"upstream_inference_cost": 5.6414e-05, "upstream_inference_prompt_cost": 1.1122e-05, "upstream_inference_completions_cost": 4.5292e-05}, "completion_tokens_details": {"reasoning_tokens": 125, "image_tokens": 0, "audio_tokens": 0}}, "response_id": "gen-1781611264-yPJGWyfcnRHok9xHmYdg", "finish_reason": "stop", "score": {"passed": true, "score": 1.0, "details": {"pattern": "FIX:\\s*`?\\s*return\\s+s\\.strip\\(\\)\\.lower\\(\\)\\s*`?"}}, "error": null, "rescored_from": 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