{
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 "model": "qwen3-30b-a3b",
 "mode": "oneshot",
 "challenge": "word-ladder",
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 "slug": "run2-qwen3-30b-a3b-oneshot-word-ladder-s0",
 "challenge_title": "Word ladder (shortest path)",
 "spec": "Create ladder.py with exactly one function:\n\nladder_length(begin: str, end: str, word_list: list[str]) -> int\n    A transformation sequence goes from begin to end, changing exactly one letter per step; every intermediate word (and end itself) must appear in word_list. Return the number of words in the SHORTEST such sequence counting both endpoints, or 0 if none exists. begin does not need to be in word_list. All words are lowercase and the same length.\n\nExample: begin=\"hit\", end=\"cog\", word_list=[\"hot\",\"dot\",\"dog\",\"lot\",\"log\",\"cog\"] -> 5 (hit -> hot -> dot -> dog -> cog).\n\nUse only the Python standard library. A breadth-first search is the intended approach; brute-force recursion will be too slow for the larger test.",
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  "ladder.py"
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 "content_checks": {
  "ladder.py": [
   "def ladder_length"
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 },
 "test_files": {
  "test_ladder.py": "import time\n\nfrom ladder import ladder_length\n\n\ndef test_classic_example():\n    assert ladder_length(\"hit\", \"cog\", [\"hot\", \"dot\", \"dog\", \"lot\", \"log\", \"cog\"]) == 5\n\n\ndef test_unreachable_end():\n    assert ladder_length(\"hit\", \"cog\", [\"hot\", \"dot\", \"dog\", \"lot\", \"log\"]) == 0\n\n\ndef test_single_step():\n    assert ladder_length(\"a\", \"c\", [\"a\", \"b\", \"c\"]) == 2\n\n\ndef test_shortest_is_found():\n    words = [\"hot\", \"hit\", \"hat\", \"cat\", \"cot\", \"cog\", \"dog\"]\n    assert ladder_length(\"hit\", \"cot\", words) == 3\n\n\ndef test_larger_input_is_fast():\n    words = [a + b + c for a in \"abcdefgh\" for b in \"abcdefgh\" for c in \"abcdefgh\"]\n    start = time.monotonic()\n    assert ladder_length(\"aaa\", \"hhh\", words) == 4\n    assert time.monotonic() - start < 2.0\n"
 },
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   "ts": "2026-07-17T21:21:06.540369+00:00",
   "event": "start",
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   "mode": "oneshot",
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   "event": "prompt",
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   "content": "You are completing a coding task in one shot. Write complete files that satisfy the spec below. Tests (pytest) will be run against your files; you cannot run them yourself.\n\nReply with ONE JSON object and nothing else:\n{\"files\": {\"<relative path>\": \"<complete file content>\", ...}}\n\nRequired deliverable files: ladder.py\n\nSPEC:\nCreate ladder.py with exactly one function:\n\nladder_length(begin: str, end: str, word_list: list[str]) -> int\n    A transformation sequence goes from begin to end, changing exactly one letter per step; every intermediate word (and end itself) must appear in word_list. Return the number of words in the SHORTEST such sequence counting both endpoints, or 0 if none exists. begin does not need to be in word_list. All words are lowercase and the same length.\n\nExample: begin=\"hit\", end=\"cog\", word_list=[\"hot\",\"dot\",\"dog\",\"lot\",\"log\",\"cog\"] -> 5 (hit -> hot -> dot -> dog -> cog).\n\nUse only the Python standard library. A breadth-first search is the intended approach; brute-force recursion will be too slow for the larger test.\n"
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   "ts": "2026-07-17T21:23:48.624434+00:00",
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   "event": "prompt",
   "mode": "oneshot",
   "content": "You are completing a coding task in one shot. Write complete files that satisfy the spec below. Tests (pytest) will be run against your files; you cannot run them yourself.\n\nReply with ONE JSON object and nothing else:\n{\"files\": {\"<relative path>\": \"<complete file content>\", ...}}\n\nRequired deliverable files: ladder.py\n\nSPEC:\nCreate ladder.py with exactly one function:\n\nladder_length(begin: str, end: str, word_list: list[str]) -> int\n    A transformation sequence goes from begin to end, changing exactly one letter per step; every intermediate word (and end itself) must appear in word_list. Return the number of words in the SHORTEST such sequence counting both endpoints, or 0 if none exists. begin does not need to be in word_list. All words are lowercase and the same length.\n\nExample: begin=\"hit\", end=\"cog\", word_list=[\"hot\",\"dot\",\"dog\",\"lot\",\"log\",\"cog\"] -> 5 (hit -> hot -> dot -> dog -> cog).\n\nUse only the Python standard library. A breadth-first search is the intended approach; brute-force recursion will be too slow for the larger test.\n"
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  {
   "ts": "2026-07-17T21:27:04.343381+00:00",
   "event": "completion",
   "content": "{\"files\": {\"ladder.py\": \"from collections import deque\\n\\ndef ladder_length(begin: str, end: str, word_list: list[str]) -> int:\\n    word_set = set(word_list)\\n    if end not in word_set:\\n        return 0\\n    if begin == end:\\n        return 1\\n    queue = deque()\\n    queue.append((begin, 1))\\n    visited = set([begin])\\n    while queue:\\n        current, steps = queue.popleft()\\n        if current == end:\\n            return steps\\n        for i in range(len(current)):\\n            for c in 'abcdefghijklmnopqrstuvwxyz':\\n                new_word = current[:i] + c + current[i+1:]\\n                if new_word in word_set and new_word not in visited:\\n                    visited.add(new_word)\\n                    queue.append((new_word, steps + 1))\\n    return 0\"}}",
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   "tests_passed": 5,
   "tests_failed": 0,
   "output": ".....                                                                    [100%]\n5 passed in 0.02s\n"
  }
 ],
 "files": {
  "ladder.py": "from collections import deque\n\ndef ladder_length(begin: str, end: str, word_list: list[str]) -> int:\n    word_set = set(word_list)\n    if end not in word_set:\n        return 0\n    if begin == end:\n        return 1\n    queue = deque()\n    queue.append((begin, 1))\n    visited = set([begin])\n    while queue:\n        current, steps = queue.popleft()\n        if current == end:\n            return steps\n        for i in range(len(current)):\n            for c in 'abcdefghijklmnopqrstuvwxyz':\n                new_word = current[:i] + c + current[i+1:]\n                if new_word in word_set and new_word not in visited:\n                    visited.add(new_word)\n                    queue.append((new_word, steps + 1))\n    return 0"
 },
 "file_metrics": [
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 "session": {
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 "test_output": ".....                                                                    [100%]\n5 passed in 0.02s\n"
}