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feat: round-2 bakeoff — 26b silent-stop is tool-response context size

Browse Source 
Round 2 tested the hypothesis that 26B's silent-stop was about
write_file argument size. Result: refuted.

- Patch-mode (apply_patch instead of write_file): 26B fails identically
  at iter 6. Tool-arg size is not the cause.
- Truncation sweep on tool responses reveals the real trigger: cap at
  800 or 1200 chars → 26B PASSES (1200-cap is 8.4s, fastest of any run).
  Cap at 1600, 2000, or unlimited → 26B silent-stops with eval=4.

Revised understanding: 26B silent-stops when cumulative tool-response
context crosses a shape threshold around 1200-1600 chars per response.
Not a tool-arg bug, not a raw code-gen bug — 26B emits correct code
fine in both one-shot and short-context settings.

Production CLI agents (openclaw, open code, aider) typically truncate
tool responses by default, so this failure may not surface in them.
Custom harnesses should cap ≤1200 chars per tool response when
targeting the 26B MoE.

Updates GOTCHAS (rewritten entry with the truncation sweep table),
SYNTHESIS model-selection row, CORPUS_cli_coding_agent.md pointer,
docs/reference/bakeoff-2026-04-18.md with full Round 2 methodology
and data.

Adds harness_patch.py (apply_patch edit tool), harness_patch_truncated.py
(env-configurable TOOL_RESULT_CAP), all 7 run logs, and a
.secrets.baseline for detect-secrets false positives on JSON timestamps.
This commit is contained in:
Mortdecai
2026-04-18 13:40:18 -04:00
parent a945207aab
commit 7f806e0b92
15 changed files with 16481 additions and 32 deletions
Download Patch File Download Diff File Expand all files Collapse all files
scripts/bakeoff/runs_patch/gemma4-26b-cap1200/log.json
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"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": 1040,
"eval_count": 25
},
{
"iteration": 5,
"elapsed_s": 0.83,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "export PYTHONPATH=$PYTHONPATH:. && pytest"
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"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-truncated/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 = med"
}
],
"prompt_eval_count": 1343,
"eval_count": 26
},
{
"iteration": 6,
"elapsed_s": 0.74,
"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": 1611,
"eval_count": 23
},
{
"iteration": 7,
"elapsed_s": 0.76,
"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": 1876,
"eval_count": 23
},
{
"iteration": 8,
"elapsed_s": 0.76,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "cat calc/stats.py"
},
"result": "exit=0\n--- stdout ---\n\"\"\"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 = me"
}
],
"prompt_eval_count": 2141,
"eval_count": 24
},
{
"iteration": 9,
"elapsed_s": 0.78,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "cat calc/stats.py"
},
"result": "exit=0\n--- stdout ---\n\"\"\"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 = me"
}
],
"prompt_eval_count": 2409,
"eval_count": 24
},
{
"iteration": 10,
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"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "cat calc/stats.py"
},
"result": "exit=0\n--- stdout ---\n\"\"\"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 = me"
}
],
"prompt_eval_count": 2677,
"eval_count": 24
},
{
"iteration": 11,
"elapsed_s": 0.78,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "cat calc/stats.py"
},
"result": "exit=0\n--- stdout ---\n\"\"\"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 = me"
}
],
"prompt_eval_count": 2945,
"eval_count": 24
},
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"elapsed_s": 0.8,
"content": "",
"tool_calls": [
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"name": "run_bash",
"arguments": {
"command": "ls -l calc/stats.py"
},
"result": "exit=0\n--- stdout ---\n-rw-rw-r-- 1 claude claude 857 Apr 18 13:19 calc/stats.py\n\n--- stderr ---\n"
}
],
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"content": "",
"tool_calls": [
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"name": "read_file",
"arguments": {
"path": "calc/stats.py"
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"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"
}
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"result": "exit=0\n--- stdout ---\n\"\"\"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 if n % 2 == 1:\n return s[n // 2]\n else:\n return (s[n // 2 - 1] + s[n // 2]) / 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)"
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scripts/bakeoff/runs_patch/gemma4-26b/log.json
+107
View File
@@ -0,0 +1,107 @@
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"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"
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"content": "",
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"result": "# Bakeoff Task\n\nA tiny Python package (`calc/`) with a statistics module. Run `pytest` from this\ndirectory \u2014 two tests currently fail because `median` returns the upper-middle\nelement instead of averaging the two middle elements on even-length inputs.\n\nYour job: make all tests pass. Do not disable or modify the tests.\n\nAllowed tools:\n- `read_file(path)` \u2014 read a file (relative to this directory)\n- `write_file(path, content)` \u2014 overwrite a file (relative to this directory)\n- `run_bash(command)` \u2014 run a shell command (cwd is this directory)\n\nWhen all tests pass, reply with a short summary of the fix and stop calling tools.\n"
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"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/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/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have valid Python na"
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"content": "",
"tool_calls": [
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"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/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 = median([1, 2,"
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"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"
}
],
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scripts/bakeoff/runs_patch/gemma4-31b/log.json
+141
View File
@@ -0,0 +1,141 @@
{
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"result": "# Bakeoff Task\n\nA tiny Python package (`calc/`) with a statistics module. Run `pytest` from this\ndirectory \u2014 two tests currently fail because `median` returns the upper-middle\nelement instead of averaging the two middle elements on even-length inputs.\n\nYour job: make all tests pass. Do not disable or modify the tests.\n\nAllowed tools:\n- `read_file(path)` \u2014 read a file (relative to this directory)\n- `write_file(path, content)` \u2014 overwrite a file (relative to this directory)\n- `run_bash(command)` \u2014 run a shell command (cwd is this directory)\n\nWhen all tests pass, reply with a short summary of the fix and stop calling tools.\n"
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"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/gemma4-31b/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/gemma4-31b/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have valid Python na"
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"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"
}
],
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},
{
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"elapsed_s": 1.69,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "export PYTHONPATH=$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/gemma4-31b/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 = median([1, 2,"
}
],
"prompt_eval_count": 1211,
"eval_count": 26
},
{
"iteration": 5,
"elapsed_s": 3.27,
"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"
}
],
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},
{
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"elapsed_s": 7.31,
"content": "",
"tool_calls": [
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"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]",
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},
"result": "patched calc/stats.py (replaced 130 chars with 210 chars)"
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{
"iteration": 7,
"elapsed_s": 1.9,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "export PYTHONPATH=$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/gemma4-31b/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": 2327,
"eval_count": 27
},
{
"iteration": 8,
"elapsed_s": 2.38,
"content": "I updated the `median` function in `calc/stats.py` to correctly average the two middle elements when the input list has an even number of elements.",
"tool_calls": [],
"prompt_eval_count": 2539,
"eval_count": 38
}
],
"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": 37.26
}
}
scripts/bakeoff/runs_patch/qwen3-coder-30b/log.json
+237
View File
@@ -0,0 +1,237 @@
{
"model": "qwen3-coder:30b",
"edit_tool": "apply_patch",
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/qwen3-coder-30b/work",
"started_at": 1776533588.1065483,
"turns": [
{
"iteration": 1,
"elapsed_s": 10.61,
"content": "I'll help you make the failing tests pass. First, let's look at the README to understand what we're working with.",
"tool_calls": [
{
"name": "read_file",
"arguments": {
"path": "README.md"
},
"result": "# Bakeoff Task\n\nA tiny Python package (`calc/`) with a statistics module. Run `pytest` from this\ndirectory \u2014 two tests currently fail because `median` returns the upper-middle\nelement instead of averaging the two middle elements on even-length inputs.\n\nYour job: make all tests pass. Do not disable or modify the tests.\n\nAllowed tools:\n- `read_file(path)` \u2014 read a file (relative to this directory)\n- `write_file(path, content)` \u2014 overwrite a file (relative to this directory)\n- `run_bash(command)` \u2014 run a shell command (cwd is this directory)\n\nWhen all tests pass, reply with a short summary of the fix and stop calling tools.\n"
}
],
"prompt_eval_count": 694,
"eval_count": 48
},
{
"iteration": 2,
"elapsed_s": 0.39,
"content": "Let me run the tests to see what's currently failing:",
"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/qwen3-coder-30b/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/qwen3-coder-30b/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have valid"
}
],
"prompt_eval_count": 896,
"eval_count": 36
},
{
"iteration": 3,
"elapsed_s": 0.52,
"content": "I need to look at the structure of the project. Let me check what files exist:",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "find . -type f"
},
"result": "exit=0\n--- stdout ---\n./.pytest_cache/v/cache/nodeids\n./.pytest_cache/v/cache/lastfailed\n./.pytest_cache/.gitignore\n./.pytest_cache/README.md\n./.pytest_cache/CACHEDIR.TAG\n./tests/__pycache__/test_stats.cpython-313-pytest-9.0.2.pyc\n./tests/test_stats.py\n./calc/__init__.py\n./calc/__pycache__/stats.cpython-313.pyc\n./calc/__pycache__/__init__.cpython-313.pyc\n./calc/stats.py\n./README.md\n\n--- stderr ---\n"
}
],
"prompt_eval_count": 1306,
"eval_count": 46
},
{
"iteration": 4,
"elapsed_s": 0.41,
"content": "Let me look at the test file to understand what's expected:",
"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": 1501,
"eval_count": 37
},
{
"iteration": 5,
"elapsed_s": 0.42,
"content": "Now let me look at the current implementation of the stats module:",
"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": 1802,
"eval_count": 36
},
{
"iteration": 6,
"elapsed_s": 1.09,
"content": "Now I can see the issue. In the `median` function, when the list has an even number of elements, it's returning the upper-middle element instead of averaging the two middle elements. Let me run the tests to confirm this is the problem:",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "python -c \"\nfrom calc.stats import median\nprint('median([1, 2, 3, 4]):', median([1, 2, 3, 4]))\nprint('Expected: 2.5')\n\""
},
"result": "exit=127\n--- stdout ---\n\n--- stderr ---\nbash: line 1: python: command not found\n"
}
],
"prompt_eval_count": 2073,
"eval_count": 122
},
{
"iteration": 7,
"elapsed_s": 0.64,
"content": "",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "python3 -c \"\nfrom calc.stats import median\nprint('median([1, 2, 3, 4]):', median([1, 2, 3, 4]))\nprint('Expected: 2.5')\n\""
},
"result": "exit=0\n--- stdout ---\nmedian([1, 2, 3, 4]): 3\nExpected: 2.5\n\n--- stderr ---\n"
}
],
"prompt_eval_count": 2232,
"eval_count": 72
},
{
"iteration": 8,
"elapsed_s": 1.56,
"content": "Perfect! I've confirmed the issue. The median function is returning 3 (the upper-middle element) instead of 2.5 (the average of the two middle elements 2 and 3).\n\nLet me fix the median function in the stats.py file:",
"tool_calls": [
{
"name": "apply_patch",
"arguments": {
"path": "calc/stats.py",
"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]",
"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"
},
"result": "patched calc/stats.py (replaced 130 chars with 210 chars)"
}
],
"prompt_eval_count": 2350,
"eval_count": 200
},
{
"iteration": 9,
"elapsed_s": 0.38,
"content": "Now let's run the tests to see if they pass:",
"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/qwen3-coder-30b/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/qwen3-coder-30b/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have valid"
}
],
"prompt_eval_count": 2582,
"eval_count": 36
},
{
"iteration": 10,
"elapsed_s": 0.62,
"content": "The tests are still failing because Python can't find the module. Let me check the current directory structure and run pytest from the correct location:",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "pwd && ls -la"
},
"result": "exit=0\n--- stdout ---\n/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/qwen3-coder-30b/work\ntotal 24\ndrwxrwxr-x 5 claude claude 4096 Apr 18 13:19 .\ndrwxrwxr-x 3 claude claude 4096 Apr 18 13:33 ..\ndrwxrwxr-x 3 claude claude 4096 Apr 18 13:19 calc\ndrwxrwxr-x 3 claude claude 4096 Apr 18 13:19 .pytest_cache\n-rw-rw-r-- 1 claude claude 637 Apr 18 13:19 README.md\ndrwxrwxr-x 3 claude claude 4096 Apr 18 13:20 tests\n\n--- stderr ---\n"
}
],
"prompt_eval_count": 2992,
"eval_count": 56
},
{
"iteration": 11,
"elapsed_s": 0.46,
"content": "Let me try running pytest with the PYTHONPATH set:",
"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/qwen3-coder-30b/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": 3279,
"eval_count": 38
},
{
"iteration": 12,
"elapsed_s": 1.68,
"content": "Great! All tests are now passing. Let me also verify the fix works correctly by testing the specific median cases:",
"tool_calls": [
{
"name": "run_bash",
"arguments": {
"command": "PYTHONPATH=. python3 -c \"\nfrom calc.stats import median\nprint('median([1, 2, 3, 4]):', median([1, 2, 3, 4]))\nprint('median([1, 2, 3]):', median([1, 2, 3]))\nprint('median([3, 1, 4, 1, 5, 9, 2, 6]):', median([3, 1, 4, 1, 5, 9, 2, 6]))\nprint('median([1.0, 2.0, 3.0, 4.0]):', median([1.0, 2.0, 3.0, 4.0]))\n\""
},
"result": "exit=0\n--- stdout ---\nmedian([1, 2, 3, 4]): 2.5\nmedian([1, 2, 3]): 2\nmedian([3, 1, 4, 1, 5, 9, 2, 6]): 3.5\nmedian([1.0, 2.0, 3.0, 4.0]): 2.5\n\n--- stderr ---\n"
}
],
"prompt_eval_count": 3496,
"eval_count": 210
},
{
"iteration": 13,
"elapsed_s": 1.65,
"content": "Perfect! The fix is working correctly. All the median test cases now return the expected values:\n- `[1, 2, 3, 4]` returns `2.5` (average of 2 and 3)\n- `[1, 2, 3]` returns `2` (middle element)\n- `[3, 1, 4, 1, 5, 9, 2, 6]` returns `3.5` (average of 3 and 4)\n- `[1.0, 2.0, 3.0, 4.0]` returns `2.5` (average of 2.0 and 3.0)\n\nThe fix correctly handles both odd and even-length lists by checking if the length is odd or even, and computing the median appropriately in each case.",
"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/qwen3-coder-30b/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": 3816,
"eval_count": 205
},
{
"iteration": 14,
"elapsed_s": 0.61,
"content": "## Summary\n\nI fixed the median function in `calc/stats.py` to properly handle even-length lists by averaging the two middle elements instead of returning just the upper-middle element. The fix checks if the list length is odd or even and computes the median accordingly, which makes all tests pass.",
"tool_calls": [],
"prompt_eval_count": 4200,
"eval_count": 59
}
],
"final": {
"halt_reason": "no_tool_calls",
"tests_pass": true,
"iterations_used": 14,
"tool_call_counts": {
"read_file": 3,
"apply_patch": 1,
"run_bash": 9
},
"wall_clock_s": 22.29
}
}