{ "run_id": 2, "model": "llama3.2-3b", "mode": "oneshot", "challenge": "word-ladder", "sample": 0, "status": "ok", "error": null, "score_total": 100.0, "score_tests": 1.0, "score_deliverables": 1.0, "score_content": 1.0, "tests_passed": 5, "tests_failed": 0, "wall_secs": 8.739256999993813, "slug": "run2-llama3.2-3b-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.", "expected_files": [ "ladder.py" ], "content_checks": { "ladder.py": [ "def ladder_length" ] }, "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" }, "events": [ { "ts": "2026-07-17T16:14:46.636043+00:00", "event": "start", "run": 2, "model": "llama3.2-3b", "mode": "oneshot", "challenge": "word-ladder", "sample": 0 }, { "ts": "2026-07-17T16:14:46.636079+00:00", "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\": {\"\": \"\", ...}}\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" }, { "ts": "2026-07-17T16:14:55.205256+00:00", "event": "completion", "content": "{\"files\": {\"ladder.py\": \"import collections\\nfrom typing import List\\n\\ndef ladder_length(begin: str, end: str, word_list: List[str]) -> int:\\n if begin not in word_list and end not in word_list:\\n return 0\\n word_set = set(word_list)\\n queue = [(begin, 1)]\\n visited = {begin}\\n while queue:\\n word, step = queue.pop(0)\\n for i in range(len(word)):\\n for char in 'abcdefghijklmnopqrstuvwxyz':\\n new_word = word[:i] + char + word[i+1:] \\n if new_word not in visited and new_word in word_set:\\n if new_word == end:\\n return step + 1\\n queue.append((new_word, step + 1))\\n visited.add(new_word)\\n return 0\"}}", "tokens": 196 }, { "ts": "2026-07-17T16:14:55.206729+00:00", "event": "write_file", "path": "ladder.py", "bytes": 719 }, { "ts": "2026-07-17T16:14:55.375309+00:00", "event": "graded", "total": 100.0, "tests_passed": 5, "tests_failed": 0, "output": "..... [100%]\n5 passed in 0.01s\n" } ], "files": { "ladder.py": "import collections\nfrom typing import List\n\ndef ladder_length(begin: str, end: str, word_list: List[str]) -> int:\n if begin not in word_list and end not in word_list:\n return 0\n word_set = set(word_list)\n queue = [(begin, 1)]\n visited = {begin}\n while queue:\n word, step = queue.pop(0)\n for i in range(len(word)):\n for char in 'abcdefghijklmnopqrstuvwxyz':\n new_word = word[:i] + char + word[i+1:] \n if new_word not in visited and new_word in word_set:\n if new_word == end:\n return step + 1\n queue.append((new_word, step + 1))\n visited.add(new_word)\n return 0" }, "file_metrics": [ { "path": "ladder.py", "loc": 20, "sloc": 19, "chars": 719, "is_python": true, "functions": 1, "classes": 0, "complexity": 9, "max_complexity": 9, "max_depth": 6, "imports": [ "collections", "typing" ], "avg_function_len": 17.0, "parse_error": false } ], "code": { "files": 1, "loc": 20, "sloc": 19, "chars": 719, "functions": 1, "classes": 0, "complexity": 9, "max_complexity": 9, "max_depth": 6, "imports": [ "collections", "typing" ], "avg_function_len": 17.0, "parse_errors": 0 }, "session": { "model_calls": 1, "actions": {}, "bad_actions": 0, "test_runs": 0, "tokens_out": 196, "tokens_in": 0, "turns": 0 }, "test_output": "..... [100%]\n5 passed in 0.01s\n" }