MODEL: qwen3.6-27b PATH: /home/qrf/.cache/llama.cpp/Qwen_Qwen3.6-27B-Q4_K_M.gguf STARTED: 2026-07-12 15:20:24 ======================================================================== TASK t1_fizzbuzz Create a file `fizzbuzz.py` in the scratch dir containing a function `fb(n)` that returns a list of strings for 1..n: 'Fizz' for multiples of 3, 'Buzz' for multiples of 5, 'FizzBuzz' for both, else the number as a string. Then run it to verify it works. When the file exists and runs without error, call done. [turn 1] raw: {"tool": "write_file", "args": {"path": "fizzbuzz.py", "content": "def fb(n):\n result = []\n for i in range(1, n + 1):\n if i % 3 == 0 and i % 5 == 0:\n result.append('FizzBuz [turn 1] tool=write_file -> wrote fizzbuzz.py (363 bytes) [turn 2] raw: {"tool": "run_python", "args": {"path": "fizzbuzz.py"}} [turn 2] tool=run_python -> exit=0 stdout: ['1', '2', 'Fizz', '4', 'Buzz', 'Fizz', '7', '8', 'Fizz', 'Buzz', '11', 'Fizz', '13', '14', 'FizzBuzz'] stderr: [turn 3] raw: {"tool": "done", "args": {"summary": "Created fizzbuzz.py with the fb(n) function and verified it works correctly. The output for fb(15) shows the expected FizzBuzz sequence."}} [turn 3] DONE: Created fizzbuzz.py with the fb(n) function and verified it works correctly. The output for fb(15) shows the expected FizzBuzz sequence. RESULT: solved=True (graded pass) | turns=3 terminated=done called_done=True bad_calls=0 ======================================================================== TASK t2_fix_bug A file `buggy.py` already exists in the scratch dir. It has a function `has_dup(xs)` that should return True if the list has any duplicates, but it has a bug. Read it, fix the bug in place, and run it to confirm the included tests pass. Then call done. [turn 1] raw: {"tool": "read_file", "args": {"path": "buggy.py"}} [turn 1] tool=read_file -> def has_dup(xs): seen = set() for x in xs: if x in seen: return False seen.add(x) return True if __name__ == "__main__": assert has_dup([1,2,3,1]) == True assert has_dup([1,2,3]) == False print("tests pass") [turn 2] raw: {"tool": "write_file", "args": {"path": "buggy.py", "content": "def has_dup(xs):\n seen = set()\n for x in xs:\n if x in seen:\n return True\n seen.add(x)\n return Fa [turn 2] tool=write_file -> wrote buggy.py (260 bytes) [turn 3] raw: {"tool": "run_python", "args": {"path": "buggy.py"}} [turn 3] tool=run_python -> exit=0 stdout: tests pass stderr: [turn 4] raw: {"tool": "done", "args": {"summary": "Fixed the bug in has_dup(): the function was returning False when a duplicate was found and True when no duplicates existed. Swapped the return values to correctl [turn 4] DONE: Fixed the bug in has_dup(): the function was returning False when a duplicate was found and True when no duplicates existed. Swapped the return values to correctly return True on duplicate detection a RESULT: solved=True (graded pass) | turns=4 terminated=done called_done=True bad_calls=0 ======================================================================== TASK t3_pipeline Build a two-step pipeline. First create `gen.py` that writes the numbers 1 through 20, one per line, to a file called `nums.txt`. Run it. Then create `sum.py` that reads `nums.txt` and prints the sum of the numbers. Run it and confirm it prints 210. Then call done. [turn 1] raw: {"tool": "write_file", "args": {"path": "gen.py", "content": "with open('nums.txt', 'w') as f:\n for i in range(1, 21):\n f.write(f'{i}\\n')\n"}} [turn 1] tool=write_file -> wrote gen.py (86 bytes) [turn 2] raw: {"tool": "run_python", "args": {"path": "gen.py"}} [turn 2] tool=run_python -> exit=0 stdout: stderr: [turn 3] raw: {"tool": "write_file", "args": {"path": "sum.py", "content": "with open('nums.txt', 'r') as f:\n total = sum(int(line.strip()) for line in f if line.strip())\nprint(total)\n"}} [turn 3] tool=write_file -> wrote sum.py (111 bytes) [turn 4] raw: {"tool": "run_python", "args": {"path": "sum.py"}} [turn 4] tool=run_python -> exit=0 stdout: 210 stderr: [turn 5] raw: {"tool": "done", "args": {"summary": "Successfully built the two-step pipeline: gen.py writes numbers 1-20 to nums.txt, and sum.py reads nums.txt and prints the sum 210."}} [turn 5] DONE: Successfully built the two-step pipeline: gen.py writes numbers 1-20 to nums.txt, and sum.py reads nums.txt and prints the sum 210. RESULT: solved=True (prints 210) | turns=5 terminated=done called_done=True bad_calls=0 ======================================================================== TASK t4_debug_loop Create `stats.py` with a function `mean_std(xs)` returning a tuple of the arithmetic mean and the population standard deviation of a list of numbers. It must print mean_std([2,4,4,4,5,5,7,9]) which should be (5.0, 2.0). Run it and confirm the output is exactly (5.0, 2.0). If not, fix and re-run until correct, then call done. [turn 1] raw: {"tool": "write_file", "args": {"path": "stats.py", "content": "import math\n\ndef mean_std(xs):\n n = len(xs)\n mean = sum(xs) / n\n variance = sum((x - mean) ** 2 for x in xs) / n\n std [turn 1] BAD CALL: no valid tool JSON found [turn 2] raw: {"tool":"write_file","args":{"path":"stats.py","content":"import math\n\ndef mean_std(xs):\n n = len(xs)\n mean = sum(xs) / n\n variance = sum((x - mean) ** 2 for x in xs) / n\n std = math [turn 2] tool=write_file -> wrote stats.py (218 bytes) [turn 3] raw: {"tool":"run_python","args":{"path":"stats.py"}} [turn 3] tool=run_python -> exit=0 stdout: (5.0, 2.0) stderr: [turn 4] raw: {"tool":"done","args":{"summary":"Created stats.py with mean_std function. Ran it and confirmed output is exactly (5.0, 2.0)."}} [turn 4] DONE: Created stats.py with mean_std function. Ran it and confirmed output is exactly (5.0, 2.0). RESULT: solved=True (correct output) | turns=4 terminated=done called_done=True bad_calls=1 ======================================================================== TASK t5_parse Create `parse.py` with a function `parse_kv(text)` that parses lines of the form 'key=value' (one per line, ignore blank lines) into a dict, with values converted to int when they are all digits. Include a test in the file: parse_kv('a=1\nb=hello\n\nc=42') must equal {'a':1,'b':'hello','c':42}. Run it, assert the test passes, then call done. [turn 1] raw: {"tool": "write_file", "args": {"path": "parse.py", "content": "def parse_kv(text):\n result = {}\n for line in text.splitlines():\n line = line.strip()\n if not line:\n [turn 1] tool=write_file -> wrote parse.py (419 bytes) [turn 2] raw: {"tool": "run_python", "args": {"path": "parse.py"}} [turn 2] tool=run_python -> exit=0 stdout: Test passed! stderr: [turn 3] raw: {"tool": "done", "args": {"summary": "Created parse.py with parse_kv(text) function that parses 'key=value' lines into a dict, converting digit-only values to int. The test parse_kv('a=1\\nb=hello\\n\ [turn 3] DONE: Created parse.py with parse_kv(text) function that parses 'key=value' lines into a dict, converting digit-only values to int. The test parse_kv('a=1\nb=hello\n\nc=42') == {'a':1,'b':'hello','c':42} pa RESULT: solved=True (graded pass) | turns=3 terminated=done called_done=True bad_calls=0 ======================================================================== SUMMARY (machine readable): [ { "task": "t1_fizzbuzz", "solved": true, "turns": 3, "terminated": "done", "called_done": true, "bad_calls": 0 }, { "task": "t2_fix_bug", "solved": true, "turns": 4, "terminated": "done", "called_done": true, "bad_calls": 0 }, { "task": "t3_pipeline", "solved": true, "turns": 5, "terminated": "done", "called_done": true, "bad_calls": 0 }, { "task": "t4_debug_loop", "solved": true, "turns": 4, "terminated": "done", "called_done": true, "bad_calls": 1 }, { "task": "t5_parse", "solved": true, "turns": 3, "terminated": "done", "called_done": true, "bad_calls": 0 } ] SOLVED: 5/5 | CLEAN_TERMINATIONS: 5/5 | TOTAL_TIME: 143s === RUN COMPLETE ===