{
 "run_id": 2,
 "model": "qwen3-30b-a3b",
 "mode": "agentic",
 "challenge": "text-stats",
 "sample": 0,
 "status": "error",
 "error": "qwen3-30b-a3b: timed out",
 "score_total": null,
 "score_tests": null,
 "score_deliverables": null,
 "score_content": null,
 "tests_passed": null,
 "tests_failed": null,
 "wall_secs": 906.0377436249983,
 "slug": "run2-qwen3-30b-a3b-agentic-text-stats-s0",
 "challenge_title": "Text statistics module",
 "spec": "Create textstats.py, a small text-statistics module with exactly these three functions:\n\n1. word_count(text: str) -> int\n   Words are maximal runs of ASCII letters, digits, and apostrophes (regex [A-Za-z0-9']+). Return how many words text contains. Empty or word-free text returns 0.\n\n2. top_words(text: str, n: int) -> list[tuple[str, int]]\n   Count words case-insensitively (lowercase them). Return the n most frequent (word, count) pairs, most frequent first; break count ties alphabetically by word.\n\n3. reading_time(text: str) -> int\n   Estimated minutes to read at 200 words per minute, rounded up, with a minimum of 1 (even for empty text).\n\nUse only the Python standard library.",
 "expected_files": [
  "textstats.py"
 ],
 "content_checks": {
  "textstats.py": [
   "def word_count",
   "def top_words",
   "def reading_time"
  ]
 },
 "test_files": {
  "test_textstats.py": "from textstats import word_count, top_words, reading_time\n\n\ndef test_word_count_basic():\n    assert word_count(\"the cat sat on the mat\") == 6\n\n\ndef test_word_count_empty():\n    assert word_count(\"\") == 0\n\n\ndef test_word_count_punctuation():\n    assert word_count(\"Hi, there! Hi.\") == 3\n\n\ndef test_word_count_apostrophes():\n    assert word_count(\"don't stop\") == 2\n\n\ndef test_top_words_orders_by_count():\n    assert top_words(\"a b a c a b\", 2) == [(\"a\", 3), (\"b\", 2)]\n\n\ndef test_top_words_ties_alphabetical():\n    assert top_words(\"beta alpha\", 2) == [(\"alpha\", 1), (\"beta\", 1)]\n\n\ndef test_top_words_case_insensitive():\n    assert top_words(\"The the THE\", 1) == [(\"the\", 3)]\n\n\ndef test_reading_time_rounds_up():\n    assert reading_time(\" \".join([\"w\"] * 401)) == 3\n\n\ndef test_reading_time_minimum_one():\n    assert reading_time(\"hello\") == 1\n    assert reading_time(\"\") == 1\n"
 },
 "events": [
  {
   "ts": "2026-07-17T21:03:13.491340+00:00",
   "event": "start",
   "run": 2,
   "model": "qwen3-30b-a3b",
   "mode": "agentic",
   "challenge": "text-stats",
   "sample": 0
  },
  {
   "ts": "2026-07-17T21:18:19.535882+00:00",
   "event": "error",
   "error": "qwen3-30b-a3b: timed out",
   "trace": "Traceback (most recent call last):\n  File \"/Users/richardblundell/repos/llmcoderlab/lab/runner.py\", line 67, in _attempt\n    agent.run(model, challenge, root, session,\n    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n              max_turns=config.run.max_agent_turns,\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n              test_timeout=config.run.test_timeout_secs,\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n              retries=config.run.request_retries)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Users/richardblundell/repos/llmcoderlab/lab/agent.py\", line 49, in run\n    completion = client.chat(model, messages, retries=retries)\n  File \"/Users/richardblundell/repos/llmcoderlab/lab/client.py\", line 70, in chat\n    raise last_err if last_err is not None else TransportError(f\"{model.alias}: no attempts made\")\nlab.client.TransportError: qwen3-30b-a3b: timed out\n"
  }
 ],
 "files": {},
 "file_metrics": [],
 "code": {
  "files": 0,
  "loc": 0,
  "sloc": 0,
  "chars": 0,
  "functions": 0,
  "classes": 0,
  "complexity": 0,
  "max_complexity": 0,
  "max_depth": 0,
  "imports": [],
  "avg_function_len": 0.0,
  "parse_errors": 0
 },
 "session": {
  "model_calls": 0,
  "actions": {},
  "bad_actions": 0,
  "test_runs": 0,
  "tokens_out": 0,
  "tokens_in": 0,
  "turns": 0
 },
 "test_output": null
}