{ "model": "gemma4:26b", "edit_tool": "apply_patch", "think_setting": "unset (default)", "workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work", "started_at": 1776549973.621934, "turns": [ { "iteration": 1, "elapsed_s": 0.75, "content": "", "tool_calls": [ { "name": "run_bash", "arguments": { "command": "ls -R" }, "result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n" } ], "prompt_eval_count": 459, "eval_count": 55, "thinking_field_len": 152 }, { "iteration": 2, "elapsed_s": 0.67, "content": "", "tool_calls": [ { "name": "read_file", "arguments": { "path": "tests/test_stats.py" }, "result": "from calc.stats import mean, median, mode, variance\n\n\ndef test_mean_basic():\n assert mean([1, 2, 3, 4, 5]) == 3.0\n\n\ndef test_median_odd():\n assert median([1, 2, 3]) == 2\n\n\ndef test_median_even():\n assert median([1, 2, 3, 4]) == 2.5\n\n\ndef test_median_unsorted():\n assert median([3, 1, 4, 1, 5, 9, 2, 6]) == 3.5\n\n\ndef test_median_floats():\n assert median([1.0, 2.0, 3.0, 4.0]) == 2.5\n\n\ndef test_mode_basic():\n assert mode([1, 2, 2, 3]) == 2\n\n\ndef test_variance_basic():\n # sample variance (n-1) of [1, 2, 3, 4, 5] is 10/4 = 2.5\n assert variance([1, 2, 3, 4, 5]) == 2.5\n" } ], "prompt_eval_count": 600, "eval_count": 40, "thinking_field_len": 59 }, { "iteration": 3, "elapsed_s": 0.51, "content": "", "tool_calls": [ { "name": "run_bash", "arguments": { "command": "pytest" }, "result": "exit=2\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_____________________ ERROR collecting tests/test_stats.py _____________________\nImportError while importing test module '/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work/tests/test_stats.py'.\nHint: make sure your test modules/p" } ], "prompt_eval_count": 903, "eval_count": 19, "thinking_field_len": 0 }, { "iteration": 4, "elapsed_s": 1.37, "content": "", "tool_calls": [ { "name": "run_bash", "arguments": { "command": "PYTHONPATH=. pytest" }, "result": "exit=1\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 7 items\n\ntests/test_stats.py ..FFF.. [100%]\n\n=================================== FAILURES ===================================\n_______________________________ test_median_even _______________________________\n\n def test_median_even():\n> assert median([1, 2, 3, 4]) == 2.5\nE assert 3 == 2.5\nE + where 3 =" } ], "prompt_eval_count": 1345, "eval_count": 103, "thinking_field_len": 302 }, { "iteration": 5, "elapsed_s": 0.66, "content": "", "tool_calls": [ { "name": "read_file", "arguments": { "path": "calc/stats.py" }, "result": "\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = mean(numbers)\n return" } ], "prompt_eval_count": 1986, "eval_count": 23, "thinking_field_len": 0 }, { "iteration": 6, "elapsed_s": 6.2, "content": "", "tool_calls": [ { "name": "apply_patch", "arguments": { "new_text": "def median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n if n % 2 == 1:\n return s[n // 2]\n else:\n return (s[n // 2 - 1] + s[n // 2]) / 2", "old_text": "def median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]", "path": "calc/stats.py" }, "result": "patched calc/stats.py (replaced 130 chars with 210 chars)" } ], "prompt_eval_count": 2275, "eval_count": 671, "thinking_field_len": 1173 }, { "iteration": 7, "elapsed_s": 0.52, "content": "", "tool_calls": [ { "name": "run_bash", "arguments": { "command": "PYTHONPATH=. pytest" }, "result": "exit=0\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 7 items\n\ntests/test_stats.py ....... [100%]\n\n============================== 7 passed in 0.01s ===============================\n\n--- stderr ---\n" } ], "prompt_eval_count": 2463, "eval_count": 22, "thinking_field_len": 0 }, { "iteration": 8, "elapsed_s": 0.74, "content": "The median function was incorrectly returning the middle element for even-sized lists without averaging the two middle elements; I updated it to correctly calculate the average of the two middle elements when the list length is even.", "tool_calls": [], "prompt_eval_count": 2677, "eval_count": 46, "thinking_field_len": 0 } ], "final": { "halt_reason": "no_tool_calls", "tests_pass": true, "iterations_used": 8, "tool_call_counts": { "read_file": 2, "apply_patch": 1, "run_bash": 4 }, "wall_clock_s": 12.53 } }