183 lines
8.0 KiB
Plaintext
183 lines
8.0 KiB
Plaintext
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MODEL: devstral-small2-24b
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PATH: /home/qrf/.cache/llama.cpp/mistralai_Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf
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STARTED: 2026-07-12 15:27:56
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========================================================================
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TASK t1_fizzbuzz
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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.
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[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
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[turn 1] BAD CALL: no valid tool JSON found
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[turn 2] 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
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[turn 2] tool=write_file -> wrote fizzbuzz.py (382 bytes)
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[turn 3] raw: {"tool": "run_python", "args": {"path": "fizzbuzz.py"}}
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[turn 3] tool=run_python -> exit=0
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stdout:
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['1', '2', 'Fizz', '4', 'Buzz', 'Fizz', '7', '8', 'Fizz', 'Buzz', '11', 'Fizz', '13', '14', 'FizzBuzz']
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stderr:
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[turn 4] raw: {"tool": "done", "args": {"summary": "Created fizzbuzz.py with the fb(n) function and verified it works correctly by running it. The output for fb(15) matches the expected FizzBuzz sequence."}}
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[turn 4] DONE: Created fizzbuzz.py with the fb(n) function and verified it works correctly by running it. The output for fb(15) matches the expected FizzBuzz sequence.
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RESULT: solved=True (graded pass) | turns=4 terminated=done called_done=True bad_calls=1
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========================================================================
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TASK t2_fix_bug
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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.
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[turn 1] raw: {"tool": "read_file", "args": {"path": "buggy.py"}}
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[turn 1] tool=read_file -> def has_dup(xs):
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seen = set()
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for x in xs:
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if x in seen:
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return False
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seen.add(x)
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return True
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if __name__ == "__main__":
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assert has_dup([1,2,3,1]) == True
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assert has_dup([1,2,3]) == False
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print("tests pass")
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[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
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[turn 2] tool=write_file -> wrote buggy.py (261 bytes)
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[turn 3] raw: {"tool": "run_python", "args": {"path": "buggy.py"}}
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[turn 3] tool=run_python -> exit=0
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stdout:
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tests pass
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stderr:
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[turn 4] raw: {"tool": "done", "args": {"summary": "Fixed the bug in has_dup function by changing the return value from False to True when a duplicate is found. The tests now pass successfully."}}
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[turn 4] DONE: Fixed the bug in has_dup function by changing the return value from False to True when a duplicate is found. The tests now pass successfully.
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RESULT: solved=True (graded pass) | turns=4 terminated=done called_done=True bad_calls=0
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========================================================================
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TASK t3_pipeline
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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.
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[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"}}
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[turn 1] tool=write_file -> wrote gen.py (86 bytes)
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[turn 2] raw: {"tool": "run_python", "args": {"path": "gen.py"}}
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[turn 2] tool=run_python -> exit=0
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stdout:
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stderr:
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[turn 3] raw: {"tool": "read_file", "args": {"path": "nums.txt"}}
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[turn 3] tool=read_file -> 1
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2
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3
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15
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20
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[turn 4] raw: {"tool": "write_file", "args": {"path": "sum.py", "content": "total = 0\nwith open('nums.txt', 'r') as f:\n for line in f:\n total += int(line)\nprint(total)\n"}}
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[turn 4] tool=write_file -> wrote sum.py (102 bytes)
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[turn 5] raw: {"tool": "run_python", "args": {"path": "sum.py"}}
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[turn 5] tool=run_python -> exit=0
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stdout:
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210
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stderr:
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[turn 6] raw: {"tool": "done", "args": {"summary": "Created gen.py to write numbers 1-20 to nums.txt, ran it successfully, then created sum.py to read nums.txt and compute the sum, which correctly printed 210."}}
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[turn 6] DONE: Created gen.py to write numbers 1-20 to nums.txt, ran it successfully, then created sum.py to read nums.txt and compute the sum, which correctly printed 210.
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RESULT: solved=True (prints 210) | turns=6 terminated=done called_done=True bad_calls=0
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========================================================================
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TASK t4_debug_loop
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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.
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[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
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[turn 1] tool=write_file -> wrote stats.py (210 bytes)
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[turn 2] raw: {"tool": "run_python", "args": {"path": "stats.py"}}
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[turn 2] tool=run_python -> exit=0
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stdout:
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(5.0, 2.0)
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stderr:
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[turn 3] raw: {"tool": "done", "args": {"summary": "Created stats.py with mean_std function. Verified output is exactly (5.0, 2.0)."}}
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[turn 3] DONE: Created stats.py with mean_std function. Verified output is exactly (5.0, 2.0).
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RESULT: solved=True (correct output) | turns=3 terminated=done called_done=True bad_calls=0
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========================================================================
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TASK t5_parse
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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.
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[turn 1] raw: {"tool": "write_file", "args": {"path": "parse.py", "content": "def parse_kv(text):\n lines = text.split('\\n')\n result = {}\n for line in lines:\n line = line.strip()\n if not
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[turn 1] tool=write_file -> wrote parse.py (448 bytes)
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[turn 2] raw: {"tool": "run_python", "args": {"path": "parse.py"}}
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[turn 2] tool=run_python -> exit=0
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stdout:
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Test passed!
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stderr:
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[turn 3] raw: {"tool": "done", "args": {"summary": "Created parse.py with parse_kv function and test. Test passed successfully."}}
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[turn 3] DONE: Created parse.py with parse_kv function and test. Test passed successfully.
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RESULT: solved=True (graded pass) | turns=3 terminated=done called_done=True bad_calls=0
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========================================================================
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SUMMARY (machine readable):
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[
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{
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"task": "t1_fizzbuzz",
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"solved": true,
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"turns": 4,
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"terminated": "done",
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"called_done": true,
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"bad_calls": 1
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},
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{
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"task": "t2_fix_bug",
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"solved": true,
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"turns": 4,
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"terminated": "done",
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"called_done": true,
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"bad_calls": 0
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},
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{
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"task": "t3_pipeline",
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"solved": true,
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"turns": 6,
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"terminated": "done",
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"called_done": true,
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"bad_calls": 0
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},
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{
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"task": "t4_debug_loop",
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"solved": true,
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"turns": 3,
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"terminated": "done",
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"called_done": true,
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"bad_calls": 0
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},
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{
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"task": "t5_parse",
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"solved": true,
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"turns": 3,
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"terminated": "done",
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"called_done": true,
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"bad_calls": 0
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}
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]
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SOLVED: 5/5 | CLEAN_TERMINATIONS: 5/5 | TOTAL_TIME: 58s
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=== RUN COMPLETE ===
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