feat: round-2 bakeoff — 26b silent-stop is tool-response context size
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
+1
-1
@@ -8,7 +8,7 @@ __pycache__/
|
|||||||
.pytest_cache/
|
.pytest_cache/
|
||||||
|
|
||||||
# Bakeoff work directories — recreated from task_seed/ each run; logs preserved separately
|
# Bakeoff work directories — recreated from task_seed/ each run; logs preserved separately
|
||||||
scripts/bakeoff/runs/*/work/
|
scripts/bakeoff/runs*/*/work/
|
||||||
|
|
||||||
# Editor / OS
|
# Editor / OS
|
||||||
.DS_Store
|
.DS_Store
|
||||||
|
|||||||
+14574
File diff suppressed because it is too large
Load Diff
@@ -6,13 +6,16 @@
|
|||||||
> `IMPLEMENTATIONS.md` chat-agent patterns (Simon) and pipeline patterns
|
> `IMPLEMENTATIONS.md` chat-agent patterns (Simon) and pipeline patterns
|
||||||
> (AI_Visualizer).
|
> (AI_Visualizer).
|
||||||
|
|
||||||
> **Empirical follow-up:** `docs/reference/bakeoff-2026-04-18.md` — real runs of
|
> **Empirical follow-up:** `docs/reference/bakeoff-2026-04-18.md` — 2 rounds of
|
||||||
> `gemma4:26b`, `gemma4:31b-it-q4_K_M`, and `qwen3-coder:30b` against a custom
|
> runs against a custom minimal CLI-agent harness on a fix-the-median-bug task.
|
||||||
> minimal CLI-agent harness on a fix-the-median-bug task. Key findings:
|
> **Round 1:** 31B clean (8 iters), Qwen3-Coder correct but chatty (15 iters),
|
||||||
> **31B clean (8 iters, 1 write), Qwen3-Coder correct but chatty (15 iters),
|
> 26B silently quits with zero edits. **Round 2 (diagnostic):** the 26B failure
|
||||||
> 26B reproducibly silent-stops at the `write_file` tool call boundary** even
|
> is NOT about edit-tool-argument size — it's about **cumulative tool-response
|
||||||
> though it can produce the fix in a direct one-shot call. Read when: scoping
|
> context shape**. Capping tool responses ≤1200 chars makes 26B pass cleanly
|
||||||
> which model to point an agent at, or hitting an unexpected tool-call halt.
|
> *and* in the fastest wall time of any run (8.4s). Most production CLI agents
|
||||||
|
> already truncate tool responses, so the issue may be invisible in them.
|
||||||
|
> Read when: scoping which model to point an agent at, hitting an unexpected
|
||||||
|
> tool-call halt, or writing a custom harness targeting the 26B MoE.
|
||||||
|
|
||||||
## TL;DR
|
## TL;DR
|
||||||
|
|
||||||
|
|||||||
+48
-23
@@ -64,36 +64,61 @@ Ollama defaults `num_predict` to 128 tokens. Almost any useful Gemma 4 output ex
|
|||||||
|
|
||||||
**Fix:** Always set `num_predict` explicitly. Minimum recommended: 512. For JSON output: 2048+.
|
**Fix:** Always set `num_predict` explicitly. Minimum recommended: 512. For JSON output: 2048+.
|
||||||
|
|
||||||
## HIGH: 26B Silent-Stops at `write_file` Tool Boundary (reproducible)
|
## HIGH: 26B Silent-Stops When Tool Responses Accumulate (reproducible)
|
||||||
|
|
||||||
**Severity: HIGH — agent-loop failure, silent**
|
**Severity: HIGH — silent agent-loop failure. Mitigatable.**
|
||||||
|
|
||||||
Reproduced on 2026-04-18 against `gemma4:26b` via Ollama 0.20.4 on a 3090 Ti
|
Reproduced on 2026-04-18 against `gemma4:26b` via Ollama 0.20.4 on a 3090 Ti
|
||||||
(steel141). Agent harness exposed `read_file` / `write_file` / `run_bash` tools
|
(steel141). Agent harness looped through `read_file` / `(write_file or apply_patch)` / `run_bash`
|
||||||
and asked the model to fix a failing Python test.
|
tools to fix a failing Python test.
|
||||||
|
|
||||||
Observed pattern (both runs identical):
|
### The observation
|
||||||
1. Model reads README, runs pytest (sees failures), reads the buggy source file
|
|
||||||
2. Next turn: **empty content, no tool calls, `eval_count=4`** — model silently exits
|
|
||||||
3. Zero writes ever emitted
|
|
||||||
|
|
||||||
Isolation: a direct one-shot call asking 26B to rewrite the same function
|
26B silent-stops (empty content, no tool calls, `eval_count=4`) at the
|
||||||
returned the correct fix (`eval_count=81`). So diagnosis and code generation are
|
decision-to-edit turn, **regardless of which edit tool is offered** — tested with
|
||||||
intact — failure is at the `write_file(path, content)` tool-call argument
|
both `write_file(path, full_content)` and `apply_patch(path, old, new)`.
|
||||||
boundary, where `content` is a ~500-char string. Consistent with the "Weak at
|
Initial hypothesis (long tool-call argument) was **refuted**.
|
||||||
Long/Nested JSON" gotcha below: a long string inside a tool-call argument is
|
|
||||||
structurally the same problem.
|
|
||||||
|
|
||||||
`gemma4:31b-it-q4_K_M` on the same harness completed the task cleanly
|
### The actual trigger: cumulative tool-response context shape
|
||||||
(`eval_count=330` on the write turn). `qwen3-coder:30b` also completed.
|
|
||||||
|
|
||||||
**Fix:**
|
A sweep with progressive truncation caps on tool responses (`TOOL_RESULT_CAP`):
|
||||||
- For 26B in an agent loop, prefer a **patch/diff tool surface**
|
|
||||||
(`apply_patch(path, old, new)`) over a **full-content write** (`write_file(path, full_content)`).
|
| Cap (chars) | Result | Halt eval_count |
|
||||||
Delta-sized arguments are inside the model's comfort zone.
|
|---|---|---|
|
||||||
- Or use 31B for the agent and keep 26B for single-shot tasks where the full
|
| 800 | PASS | 24 (continues, hits iteration cap) |
|
||||||
response is the output, not a tool-call argument.
|
| 1200 | **PASS** — **fastest of any run (8.4s)** | 27 (clean summary) |
|
||||||
- See `docs/reference/bakeoff-2026-04-18.md` for the full trace.
|
| 1600 | FAIL | **4** (silent stop) |
|
||||||
|
| 2000 | FAIL | **4** (silent stop) |
|
||||||
|
| unlimited | FAIL | **4** (silent stop) |
|
||||||
|
|
||||||
|
Sharp transition between 1200 and 1600 chars-per-response. Below the line, 26B
|
||||||
|
emits correct code (eval_count ~165 on the patch turn). Above, it silent-stops.
|
||||||
|
Exact mechanism unproven (could be MoE expert routing, chat-template edge case,
|
||||||
|
or something else). **Actionable:** cap tool responses ≤1200 chars.
|
||||||
|
|
||||||
|
### What's NOT at fault
|
||||||
|
|
||||||
|
- **Not the edit tool surface** — `write_file` and `apply_patch` both trigger it
|
||||||
|
- **Not raw code generation** — a one-shot direct prompt asking 26B to fix the
|
||||||
|
same function returned clean correct code (eval=81)
|
||||||
|
- **Not total context size alone** — the 800-cap run continued past 3741 prompt
|
||||||
|
tokens. Failing runs halt at ~2070-2150 tokens but the 1200-cap run crossed
|
||||||
|
the same range and kept going
|
||||||
|
- **Not a Gemma-4-family issue** — `gemma4:31b-it-q4_K_M` on identical harness
|
||||||
|
handles full-size tool responses cleanly (eval=330 on the write turn)
|
||||||
|
|
||||||
|
### Fix
|
||||||
|
|
||||||
|
- **For 26B in an agent loop, cap tool responses ≤1200 chars.** 800 is safer;
|
||||||
|
this is where every production CLI agent (openclaw / open code / aider /
|
||||||
|
cline) already lives by default, so the issue may not surface in those
|
||||||
|
frameworks.
|
||||||
|
- **For raw pytest output specifically**, use `pytest -x --tb=line` or a custom
|
||||||
|
formatter to shrink per-test output to a few lines.
|
||||||
|
- **Alternative:** use `gemma4:31b-it-q4_K_M` — same harness, no mitigation,
|
||||||
|
just works. Trade: ~5× slower than 26B when 26B cooperates.
|
||||||
|
- See `docs/reference/bakeoff-2026-04-18.md` (Round 2) for full traces and the
|
||||||
|
truncation sweep methodology.
|
||||||
|
|
||||||
## MEDIUM: Weak at Long/Nested JSON
|
## MEDIUM: Weak at Long/Nested JSON
|
||||||
|
|
||||||
|
|||||||
+1
-1
@@ -176,7 +176,7 @@ Vision is on ALL Gemma 4 variants (E2B, E4B, 26B, 31B). Audio is E-series only.
|
|||||||
| Maximum quality (single-model GPU) | `gemma4:31b-it-q4_K_M` | Dense 31B, sharpest but 5x slower, more VRAM pressure |
|
| Maximum quality (single-model GPU) | `gemma4:31b-it-q4_K_M` | Dense 31B, sharpest but 5x slower, more VRAM pressure |
|
||||||
| Rapid prototyping / testing | `gemma4:26b` | Fast enough for interactive dev |
|
| Rapid prototyping / testing | `gemma4:26b` | Fast enough for interactive dev |
|
||||||
| Retrieval / embeddings | `embeddinggemma` (308M, separate model) | Gemma 4 has no embedding mode; use the sibling |
|
| Retrieval / embeddings | `embeddinggemma` (308M, separate model) | Gemma 4 has no embedding mode; use the sibling |
|
||||||
| CLI coding agent (openclaw / open code / pi / hermes / aider) | `gemma4:31b-it-q4_K_M` (verified), fallback `qwen3-coder:30b` | 2026-04-18 bakeoff on 3090 Ti: 31B passes cleanly (8 iters, 1 write), Qwen3-Coder passes verbosely (15 iters), **26B reproducibly silent-stops at the write_file tool call** — see `CORPUS_cli_coding_agent.md` and `docs/reference/bakeoff-2026-04-18.md` |
|
| CLI coding agent (openclaw / open code / pi / hermes / aider) | `gemma4:31b-it-q4_K_M` (robust), or `gemma4:26b` if agent truncates tool responses ≤1200 chars | 2026-04-18 bakeoff on 3090 Ti: **31B clean default**; **26B silent-stops at iter 6 unless tool responses are capped — then it's the fastest passing config (8.4s, 8 iters)**. Production CLI agents typically truncate by default, so 26B may just work. See `CORPUS_cli_coding_agent.md` + `docs/reference/bakeoff-2026-04-18.md` |
|
||||||
|
|
||||||
## Anti-Patterns
|
## Anti-Patterns
|
||||||
|
|
||||||
|
|||||||
@@ -144,3 +144,98 @@ python3 harness.py gemma4:26b runs/gemma4-26b/work runs/gemma4-26b/log.json
|
|||||||
```
|
```
|
||||||
|
|
||||||
Each invocation resets the work directory from `task_seed/`, runs the loop, writes the log, and prints a one-line summary.
|
Each invocation resets the work directory from `task_seed/`, runs the loop, writes the log, and prints a one-line summary.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
# Round 2 — isolating the 26B silent-stop
|
||||||
|
|
||||||
|
After Round 1 I hypothesized the 26B failure was about long `write_file(path, full_content)` tool arguments. Round 2 tests that.
|
||||||
|
|
||||||
|
## What was tested
|
||||||
|
|
||||||
|
1. **Patch-mode harness** (`harness_patch.py`) — identical to the original but swaps `write_file(path, content)` for `apply_patch(path, old_text, new_text)`. Arguments are a small delta (~100-200 chars), not the full file.
|
||||||
|
2. **Truncation-mode harness** (`harness_patch_truncated.py`) — same as patch-mode, but caps every tool response to `TOOL_RESULT_CAP` chars (env-configurable) before returning it to the model.
|
||||||
|
|
||||||
|
All else identical: same task, same system prompt, same Ollama settings, same 3090 Ti on steel141.
|
||||||
|
|
||||||
|
## Results
|
||||||
|
|
||||||
|
### Round 2a — patch-mode (small edit tool arguments)
|
||||||
|
|
||||||
|
| Model | Pass | Iters | patches | reads | bashes | Wall |
|
||||||
|
|---|---|---|---|---|---|---|
|
||||||
|
| `gemma4:31b-it-q4_K_M` | ✓ | 8 | 1 | 2 | 4 | 37s |
|
||||||
|
| `qwen3-coder:30b` | ✓ | 14 | 1 | 3 | 9 | 22s |
|
||||||
|
| `gemma4:26b` | **✗** | 6 | **0** | 2 | 3 | 8s |
|
||||||
|
|
||||||
|
**Hypothesis refuted.** 26B fails identically on patch-mode: 6 iters, silent stop at iter 6 with eval=4, zero edits. The tool-call **argument size is not the trigger.**
|
||||||
|
|
||||||
|
### Round 2b — tool-result truncation cap
|
||||||
|
|
||||||
|
Ran 26B through patch-mode with progressively smaller caps on each tool response:
|
||||||
|
|
||||||
|
| TOOL_RESULT_CAP | 26B Pass | Halt turn | prompt_eval at halt | eval_count at halt |
|
||||||
|
|---|---|---|---|---|
|
||||||
|
| **800** | ✓ | iter 15 (cap) | 3741 | 24 |
|
||||||
|
| **1200** | ✓ | iter 8 | 2294 | 27 |
|
||||||
|
| **1600** | ✗ | iter 6 | 2070 | **4** |
|
||||||
|
| **2000** | ✗ | iter 6 | 2157 | **4** |
|
||||||
|
| **unlimited** | ✗ | iter 6 | 2139 | **4** |
|
||||||
|
|
||||||
|
Sharp transition between 1200 and 1600. Below the line, 26B generates code (`eval_count=165` on the patch turn). Above the line, `eval_count=4` — effectively an EOS.
|
||||||
|
|
||||||
|
**The trigger is cumulative tool-response context shape, not total tokens.** The 800-cap run continued reasoning past 3741 prompt tokens without issue. The failing runs all halt at ~2070-2150 tokens — but the 1200-cap run crossed that same range (2076 at iter 7) and kept going. So "N tokens" isn't the cause — the recent-context pattern (large tool responses accumulated over 5 iterations) is.
|
||||||
|
|
||||||
|
### Bonus observation: 26B at 1200-cap is the fastest passing configuration
|
||||||
|
|
||||||
|
| Run | Iters | Wall clock |
|
||||||
|
|---|---|---|
|
||||||
|
| 26B @ 1200-cap | 8 | **8.4s** |
|
||||||
|
| 31B @ patch | 8 | 37s |
|
||||||
|
| Qwen3-Coder @ patch | 14 | 22s |
|
||||||
|
|
||||||
|
Same task, same correct fix. 26B's MoE (3.8B active params) is ~5× faster than 31B dense when it cooperates.
|
||||||
|
|
||||||
|
## Revised interpretation
|
||||||
|
|
||||||
|
- **Not "26B is broken for CLI coding agents."**
|
||||||
|
- **Not "long tool-call arguments break 26B."**
|
||||||
|
- **Yes: "26B silent-stops when the cumulative tool-response context crosses a certain shape/size threshold, at the decision-to-edit boundary."** Observed threshold here: per-tool-response cap somewhere between 1200 and 1600 chars, on this task / this Ollama version / this model variant.
|
||||||
|
- **The mitigation is standard.** Every production CLI agent (openclaw, open code, aider, cline, continue) truncates tool responses — this is table stakes, not exotic. 26B's "failure mode" is likely *already mitigated* in those frameworks. What my default harness did (pass full 4-6KB pytest outputs verbatim) is probably not what those frameworks do.
|
||||||
|
- **Exact mechanism is unproven.** I'm observing behavior, not internals. Could be MoE expert routing, could be chat-template edge case, could be some interaction with the tool-call channel tokens. Finding the root cause would require model instrumentation beyond this scope.
|
||||||
|
|
||||||
|
## Revised recommendation
|
||||||
|
|
||||||
|
1. **Default to `gemma4:31b-it-q4_K_M`** for general CLI coding agent use. Robust to long tool responses, no mitigation needed.
|
||||||
|
2. **Use `gemma4:26b`** if you care about latency AND your agent framework truncates tool responses (most do). 5× faster than 31B when it works.
|
||||||
|
3. **Verify by re-running against your actual agent framework.** Don't trust this harness as a proxy — it's a diagnostic, not a production test.
|
||||||
|
4. **If you're writing a custom agent and targeting 26B**, cap tool responses aggressively (≤1200 chars per response worked here; ≤800 is safer). pytest output in particular benefits from `--tb=line` or `-x` to shrink it.
|
||||||
|
|
||||||
|
## Artifacts (Round 2)
|
||||||
|
|
||||||
|
- `scripts/bakeoff/harness_patch.py` — patch-mode harness
|
||||||
|
- `scripts/bakeoff/harness_patch_truncated.py` — truncation-mode harness (env var `TOOL_RESULT_CAP`)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-26b/log.json` — patch mode, unlimited (fails)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-26b-truncated/log.json` — cap=800 (passes)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-26b-cap1200/log.json` — cap=1200 (passes)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-26b-cap1600/log.json` — cap=1600 (fails)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-26b-cap2000/log.json` — cap=2000 (fails)
|
||||||
|
- `scripts/bakeoff/runs_patch/gemma4-31b/log.json` — patch mode, passes (control)
|
||||||
|
- `scripts/bakeoff/runs_patch/qwen3-coder-30b/log.json` — patch mode, passes (control)
|
||||||
|
|
||||||
|
## Reproducing Round 2
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cd scripts/bakeoff
|
||||||
|
|
||||||
|
# Patch-mode baseline (3 models)
|
||||||
|
python3 harness_patch.py gemma4:31b-it-q4_K_M runs_patch/gemma4-31b/work runs_patch/gemma4-31b/log.json
|
||||||
|
python3 harness_patch.py qwen3-coder:30b runs_patch/qwen3-coder-30b/work runs_patch/qwen3-coder-30b/log.json
|
||||||
|
python3 harness_patch.py gemma4:26b runs_patch/gemma4-26b/work runs_patch/gemma4-26b/log.json
|
||||||
|
|
||||||
|
# Truncation sweep on 26B
|
||||||
|
TOOL_RESULT_CAP=800 python3 harness_patch_truncated.py gemma4:26b runs_patch/gemma4-26b-truncated/work runs_patch/gemma4-26b-truncated/log.json
|
||||||
|
TOOL_RESULT_CAP=1200 python3 harness_patch_truncated.py gemma4:26b runs_patch/gemma4-26b-cap1200/work runs_patch/gemma4-26b-cap1200/log.json
|
||||||
|
TOOL_RESULT_CAP=1600 python3 harness_patch_truncated.py gemma4:26b runs_patch/gemma4-26b-cap1600/work runs_patch/gemma4-26b-cap1600/log.json
|
||||||
|
TOOL_RESULT_CAP=2000 python3 harness_patch_truncated.py gemma4:26b runs_patch/gemma4-26b-cap2000/work runs_patch/gemma4-26b-cap2000/log.json
|
||||||
|
```
|
||||||
|
|||||||
@@ -0,0 +1,325 @@
|
|||||||
|
"""CLI coding agent bakeoff — apply_patch variant.
|
||||||
|
|
||||||
|
Identical to harness.py except the edit tool is:
|
||||||
|
apply_patch(path, old_text, new_text)
|
||||||
|
instead of:
|
||||||
|
write_file(path, content)
|
||||||
|
|
||||||
|
Purpose: test the hypothesis that gemma4:26b's silent-stop at the write_file
|
||||||
|
boundary is specifically about long tool-call argument emission (~500-char
|
||||||
|
content string). apply_patch keeps arguments small — the model only emits the
|
||||||
|
exact lines being changed + their replacement.
|
||||||
|
|
||||||
|
Invocation:
|
||||||
|
python3 harness_patch.py <model-tag> <workdir> <log-path>
|
||||||
|
"""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import shutil
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
import time
|
||||||
|
from pathlib import Path
|
||||||
|
from urllib import request as urlreq
|
||||||
|
|
||||||
|
OLLAMA_HOST = os.environ.get("OLLAMA_HOST", "http://127.0.0.1:11434")
|
||||||
|
MAX_ITERATIONS = 15
|
||||||
|
BASH_TIMEOUT_S = 30
|
||||||
|
REQUEST_TIMEOUT_S = 540
|
||||||
|
|
||||||
|
SYSTEM_PROMPT = """You are a terminal coding agent.
|
||||||
|
|
||||||
|
## What you do
|
||||||
|
- Read source and test files to understand the code
|
||||||
|
- Make targeted edits to fix bugs so the tests pass
|
||||||
|
- Run pytest to verify your fix
|
||||||
|
- Stop once all tests pass and reply with a one-sentence summary
|
||||||
|
|
||||||
|
## What you do NOT do
|
||||||
|
- Never modify files under tests/
|
||||||
|
- Never disable, skip, or delete tests
|
||||||
|
- Never write outside the working directory
|
||||||
|
- Never call tools after all tests pass — just reply with the summary and stop
|
||||||
|
|
||||||
|
## Available tools
|
||||||
|
- read_file(path): read a file relative to the working directory
|
||||||
|
- apply_patch(path, old_text, new_text): replace an exact unique text span in a file
|
||||||
|
- run_bash(command): run a shell command in the working directory
|
||||||
|
|
||||||
|
## Rules
|
||||||
|
- Start by reading README.md
|
||||||
|
- Prefer minimal edits. Do not refactor unrelated code.
|
||||||
|
- Run the full test suite after each edit to verify.
|
||||||
|
- apply_patch requires old_text to appear EXACTLY ONCE in the file; include enough surrounding context to make it unique.
|
||||||
|
"""
|
||||||
|
|
||||||
|
USER_PROMPT = "Make the failing tests pass. Begin."
|
||||||
|
|
||||||
|
TOOLS = [
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "read_file",
|
||||||
|
"description": "Read a file. Path is relative to the working directory.",
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {"path": {"type": "string"}},
|
||||||
|
"required": ["path"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "apply_patch",
|
||||||
|
"description": (
|
||||||
|
"Replace a unique span of text in a file. old_text must appear exactly once. "
|
||||||
|
"Include surrounding context if needed to make the match unique."
|
||||||
|
),
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {
|
||||||
|
"path": {"type": "string"},
|
||||||
|
"old_text": {"type": "string"},
|
||||||
|
"new_text": {"type": "string"},
|
||||||
|
},
|
||||||
|
"required": ["path", "old_text", "new_text"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "run_bash",
|
||||||
|
"description": "Run a shell command in the working directory. Returns stdout, stderr, and exit code.",
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {"command": {"type": "string"}},
|
||||||
|
"required": ["command"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
def safe_path(workdir: Path, rel: str) -> Path:
|
||||||
|
p = (workdir / rel).resolve()
|
||||||
|
if not str(p).startswith(str(workdir.resolve())):
|
||||||
|
raise ValueError(f"path escapes workdir: {rel}")
|
||||||
|
return p
|
||||||
|
|
||||||
|
|
||||||
|
def tool_read_file(workdir: Path, args: dict) -> str:
|
||||||
|
p = safe_path(workdir, args["path"])
|
||||||
|
if not p.exists():
|
||||||
|
return f"ERROR: {args['path']} does not exist"
|
||||||
|
return p.read_text()
|
||||||
|
|
||||||
|
|
||||||
|
def tool_apply_patch(workdir: Path, args: dict) -> str:
|
||||||
|
p = safe_path(workdir, args["path"])
|
||||||
|
if not p.exists():
|
||||||
|
return f"ERROR: {args['path']} does not exist"
|
||||||
|
old = args["old_text"]
|
||||||
|
new = args["new_text"]
|
||||||
|
text = p.read_text()
|
||||||
|
occurrences = text.count(old)
|
||||||
|
if occurrences == 0:
|
||||||
|
return (
|
||||||
|
f"ERROR: old_text not found in {args['path']}. "
|
||||||
|
"Re-read the file and copy the exact text (whitespace matters)."
|
||||||
|
)
|
||||||
|
if occurrences > 1:
|
||||||
|
return (
|
||||||
|
f"ERROR: old_text appears {occurrences} times in {args['path']}. "
|
||||||
|
"Include more surrounding context so it matches exactly once."
|
||||||
|
)
|
||||||
|
p.write_text(text.replace(old, new, 1))
|
||||||
|
return f"patched {args['path']} (replaced {len(old)} chars with {len(new)} chars)"
|
||||||
|
|
||||||
|
|
||||||
|
def tool_run_bash(workdir: Path, args: dict) -> str:
|
||||||
|
try:
|
||||||
|
r = subprocess.run(
|
||||||
|
["bash", "-c", args["command"]],
|
||||||
|
cwd=workdir,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=BASH_TIMEOUT_S,
|
||||||
|
)
|
||||||
|
except subprocess.TimeoutExpired:
|
||||||
|
return f"ERROR: command timed out after {BASH_TIMEOUT_S}s"
|
||||||
|
head = (
|
||||||
|
f"exit={r.returncode}\n"
|
||||||
|
f"--- stdout ---\n{r.stdout[-4000:]}\n"
|
||||||
|
f"--- stderr ---\n{r.stderr[-2000:]}"
|
||||||
|
)
|
||||||
|
return head
|
||||||
|
|
||||||
|
|
||||||
|
TOOL_DISPATCH = {
|
||||||
|
"read_file": tool_read_file,
|
||||||
|
"apply_patch": tool_apply_patch,
|
||||||
|
"run_bash": tool_run_bash,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def ollama_chat(model: str, messages: list) -> dict:
|
||||||
|
payload = {
|
||||||
|
"model": model,
|
||||||
|
"messages": messages,
|
||||||
|
"tools": TOOLS,
|
||||||
|
"stream": False,
|
||||||
|
"think": False,
|
||||||
|
"keep_alive": "10m",
|
||||||
|
"options": {
|
||||||
|
"num_ctx": 32768,
|
||||||
|
"num_predict": 4096,
|
||||||
|
"temperature": 0.3,
|
||||||
|
},
|
||||||
|
}
|
||||||
|
data = json.dumps(payload).encode()
|
||||||
|
req = urlreq.Request(
|
||||||
|
f"{OLLAMA_HOST}/api/chat",
|
||||||
|
data=data,
|
||||||
|
headers={"Content-Type": "application/json"},
|
||||||
|
)
|
||||||
|
with urlreq.urlopen(req, timeout=REQUEST_TIMEOUT_S) as resp:
|
||||||
|
return json.loads(resp.read())
|
||||||
|
|
||||||
|
|
||||||
|
def pytest_passes(workdir: Path) -> bool:
|
||||||
|
r = subprocess.run(
|
||||||
|
["python3", "-m", "pytest", "tests/", "-q"],
|
||||||
|
cwd=workdir,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=60,
|
||||||
|
)
|
||||||
|
return r.returncode == 0
|
||||||
|
|
||||||
|
|
||||||
|
def run_bakeoff(model: str, workdir: Path, log_path: Path) -> dict:
|
||||||
|
log_path.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
|
||||||
|
messages = [
|
||||||
|
{"role": "system", "content": SYSTEM_PROMPT},
|
||||||
|
{"role": "user", "content": USER_PROMPT},
|
||||||
|
]
|
||||||
|
|
||||||
|
trace = {
|
||||||
|
"model": model,
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"workdir": str(workdir),
|
||||||
|
"started_at": time.time(),
|
||||||
|
"turns": [],
|
||||||
|
"final": None,
|
||||||
|
}
|
||||||
|
|
||||||
|
tool_call_counts = {"read_file": 0, "apply_patch": 0, "run_bash": 0}
|
||||||
|
halt_reason = None
|
||||||
|
|
||||||
|
for iteration in range(1, MAX_ITERATIONS + 1):
|
||||||
|
turn_start = time.time()
|
||||||
|
try:
|
||||||
|
response = ollama_chat(model, messages)
|
||||||
|
except Exception as e:
|
||||||
|
halt_reason = f"chat_error: {e}"
|
||||||
|
trace["turns"].append(
|
||||||
|
{"iteration": iteration, "error": str(e), "elapsed_s": time.time() - turn_start}
|
||||||
|
)
|
||||||
|
break
|
||||||
|
|
||||||
|
assistant_msg = response.get("message", {})
|
||||||
|
content = assistant_msg.get("content", "") or ""
|
||||||
|
tool_calls = assistant_msg.get("tool_calls", []) or []
|
||||||
|
|
||||||
|
turn = {
|
||||||
|
"iteration": iteration,
|
||||||
|
"elapsed_s": round(time.time() - turn_start, 2),
|
||||||
|
"content": content,
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": response.get("prompt_eval_count"),
|
||||||
|
"eval_count": response.get("eval_count"),
|
||||||
|
}
|
||||||
|
|
||||||
|
messages.append({"role": "assistant", "content": content, "tool_calls": tool_calls})
|
||||||
|
|
||||||
|
if not tool_calls:
|
||||||
|
trace["turns"].append(turn)
|
||||||
|
halt_reason = "no_tool_calls"
|
||||||
|
break
|
||||||
|
|
||||||
|
for tc in tool_calls:
|
||||||
|
fn = tc.get("function", {})
|
||||||
|
name = fn.get("name")
|
||||||
|
args = fn.get("arguments") or {}
|
||||||
|
if isinstance(args, str):
|
||||||
|
try:
|
||||||
|
args = json.loads(args)
|
||||||
|
except Exception:
|
||||||
|
args = {"_raw": args}
|
||||||
|
|
||||||
|
if name not in TOOL_DISPATCH:
|
||||||
|
result = f"ERROR: unknown tool {name}"
|
||||||
|
else:
|
||||||
|
try:
|
||||||
|
result = TOOL_DISPATCH[name](workdir, args)
|
||||||
|
tool_call_counts[name] = tool_call_counts.get(name, 0) + 1
|
||||||
|
except Exception as e:
|
||||||
|
result = f"ERROR: {e}"
|
||||||
|
|
||||||
|
turn["tool_calls"].append({"name": name, "arguments": args, "result": result[:800]})
|
||||||
|
messages.append({"role": "tool", "content": result})
|
||||||
|
|
||||||
|
trace["turns"].append(turn)
|
||||||
|
|
||||||
|
if iteration == MAX_ITERATIONS:
|
||||||
|
halt_reason = "iteration_cap"
|
||||||
|
break
|
||||||
|
|
||||||
|
final_pass = pytest_passes(workdir)
|
||||||
|
trace["final"] = {
|
||||||
|
"halt_reason": halt_reason,
|
||||||
|
"tests_pass": final_pass,
|
||||||
|
"iterations_used": len(trace["turns"]),
|
||||||
|
"tool_call_counts": tool_call_counts,
|
||||||
|
"wall_clock_s": round(time.time() - trace["started_at"], 2),
|
||||||
|
}
|
||||||
|
|
||||||
|
log_path.write_text(json.dumps(trace, indent=2, default=str))
|
||||||
|
return trace
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
if len(sys.argv) != 4:
|
||||||
|
print(__doc__, file=sys.stderr)
|
||||||
|
sys.exit(2)
|
||||||
|
|
||||||
|
model, workdir_s, log_s = sys.argv[1], sys.argv[2], sys.argv[3]
|
||||||
|
workdir = Path(workdir_s).resolve()
|
||||||
|
log_path = Path(log_s).resolve()
|
||||||
|
|
||||||
|
seed = Path(__file__).parent / "task_seed"
|
||||||
|
if workdir.exists():
|
||||||
|
shutil.rmtree(workdir)
|
||||||
|
shutil.copytree(seed, workdir)
|
||||||
|
|
||||||
|
result = run_bakeoff(model, workdir, log_path)
|
||||||
|
final = result["final"]
|
||||||
|
print(
|
||||||
|
f"model={model} pass={final['tests_pass']} "
|
||||||
|
f"iters={final['iterations_used']} "
|
||||||
|
f"read={final['tool_call_counts'].get('read_file', 0)} "
|
||||||
|
f"patch={final['tool_call_counts'].get('apply_patch', 0)} "
|
||||||
|
f"bash={final['tool_call_counts'].get('run_bash', 0)} "
|
||||||
|
f"halt={final['halt_reason']} "
|
||||||
|
f"wall={final['wall_clock_s']}s"
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@@ -0,0 +1,322 @@
|
|||||||
|
"""Diagnostic variant: patch-mode harness with aggressively truncated tool responses.
|
||||||
|
|
||||||
|
Identical to harness_patch.py except every tool result is truncated to 800
|
||||||
|
chars before being sent back to the model. Tests the hypothesis that 26B's
|
||||||
|
silent-stop is triggered by accumulated large tool-response context (full
|
||||||
|
pytest output is ~4-6KB; this caps it at 800 chars to match what the log
|
||||||
|
stores).
|
||||||
|
"""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import shutil
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
import time
|
||||||
|
from pathlib import Path
|
||||||
|
from urllib import request as urlreq
|
||||||
|
|
||||||
|
OLLAMA_HOST = os.environ.get("OLLAMA_HOST", "http://127.0.0.1:11434")
|
||||||
|
MAX_ITERATIONS = 15
|
||||||
|
BASH_TIMEOUT_S = 30
|
||||||
|
REQUEST_TIMEOUT_S = 540
|
||||||
|
TOOL_RESULT_CAP = int(os.environ.get("TOOL_RESULT_CAP", "800")) # override via env
|
||||||
|
|
||||||
|
SYSTEM_PROMPT = """You are a terminal coding agent.
|
||||||
|
|
||||||
|
## What you do
|
||||||
|
- Read source and test files to understand the code
|
||||||
|
- Make targeted edits to fix bugs so the tests pass
|
||||||
|
- Run pytest to verify your fix
|
||||||
|
- Stop once all tests pass and reply with a one-sentence summary
|
||||||
|
|
||||||
|
## What you do NOT do
|
||||||
|
- Never modify files under tests/
|
||||||
|
- Never disable, skip, or delete tests
|
||||||
|
- Never write outside the working directory
|
||||||
|
- Never call tools after all tests pass — just reply with the summary and stop
|
||||||
|
|
||||||
|
## Available tools
|
||||||
|
- read_file(path): read a file relative to the working directory
|
||||||
|
- apply_patch(path, old_text, new_text): replace an exact unique text span in a file
|
||||||
|
- run_bash(command): run a shell command in the working directory
|
||||||
|
|
||||||
|
## Rules
|
||||||
|
- Start by reading README.md
|
||||||
|
- Prefer minimal edits. Do not refactor unrelated code.
|
||||||
|
- Run the full test suite after each edit to verify.
|
||||||
|
- apply_patch requires old_text to appear EXACTLY ONCE in the file; include enough surrounding context to make it unique.
|
||||||
|
"""
|
||||||
|
|
||||||
|
USER_PROMPT = "Make the failing tests pass. Begin."
|
||||||
|
|
||||||
|
TOOLS = [
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "read_file",
|
||||||
|
"description": "Read a file. Path is relative to the working directory.",
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {"path": {"type": "string"}},
|
||||||
|
"required": ["path"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "apply_patch",
|
||||||
|
"description": (
|
||||||
|
"Replace a unique span of text in a file. old_text must appear exactly once. "
|
||||||
|
"Include surrounding context if needed to make the match unique."
|
||||||
|
),
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {
|
||||||
|
"path": {"type": "string"},
|
||||||
|
"old_text": {"type": "string"},
|
||||||
|
"new_text": {"type": "string"},
|
||||||
|
},
|
||||||
|
"required": ["path", "old_text", "new_text"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"type": "function",
|
||||||
|
"function": {
|
||||||
|
"name": "run_bash",
|
||||||
|
"description": "Run a shell command in the working directory. Returns stdout, stderr, and exit code.",
|
||||||
|
"parameters": {
|
||||||
|
"type": "object",
|
||||||
|
"properties": {"command": {"type": "string"}},
|
||||||
|
"required": ["command"],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
},
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
def safe_path(workdir: Path, rel: str) -> Path:
|
||||||
|
p = (workdir / rel).resolve()
|
||||||
|
if not str(p).startswith(str(workdir.resolve())):
|
||||||
|
raise ValueError(f"path escapes workdir: {rel}")
|
||||||
|
return p
|
||||||
|
|
||||||
|
|
||||||
|
def tool_read_file(workdir: Path, args: dict) -> str:
|
||||||
|
p = safe_path(workdir, args["path"])
|
||||||
|
if not p.exists():
|
||||||
|
return f"ERROR: {args['path']} does not exist"
|
||||||
|
return p.read_text()
|
||||||
|
|
||||||
|
|
||||||
|
def tool_apply_patch(workdir: Path, args: dict) -> str:
|
||||||
|
p = safe_path(workdir, args["path"])
|
||||||
|
if not p.exists():
|
||||||
|
return f"ERROR: {args['path']} does not exist"
|
||||||
|
old = args["old_text"]
|
||||||
|
new = args["new_text"]
|
||||||
|
text = p.read_text()
|
||||||
|
occurrences = text.count(old)
|
||||||
|
if occurrences == 0:
|
||||||
|
return (
|
||||||
|
f"ERROR: old_text not found in {args['path']}. "
|
||||||
|
"Re-read the file and copy the exact text (whitespace matters)."
|
||||||
|
)
|
||||||
|
if occurrences > 1:
|
||||||
|
return (
|
||||||
|
f"ERROR: old_text appears {occurrences} times in {args['path']}. "
|
||||||
|
"Include more surrounding context so it matches exactly once."
|
||||||
|
)
|
||||||
|
p.write_text(text.replace(old, new, 1))
|
||||||
|
return f"patched {args['path']} (replaced {len(old)} chars with {len(new)} chars)"
|
||||||
|
|
||||||
|
|
||||||
|
def tool_run_bash(workdir: Path, args: dict) -> str:
|
||||||
|
try:
|
||||||
|
r = subprocess.run(
|
||||||
|
["bash", "-c", args["command"]],
|
||||||
|
cwd=workdir,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=BASH_TIMEOUT_S,
|
||||||
|
)
|
||||||
|
except subprocess.TimeoutExpired:
|
||||||
|
return f"ERROR: command timed out after {BASH_TIMEOUT_S}s"
|
||||||
|
head = (
|
||||||
|
f"exit={r.returncode}\n"
|
||||||
|
f"--- stdout ---\n{r.stdout[-4000:]}\n"
|
||||||
|
f"--- stderr ---\n{r.stderr[-2000:]}"
|
||||||
|
)
|
||||||
|
return head
|
||||||
|
|
||||||
|
|
||||||
|
TOOL_DISPATCH = {
|
||||||
|
"read_file": tool_read_file,
|
||||||
|
"apply_patch": tool_apply_patch,
|
||||||
|
"run_bash": tool_run_bash,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def ollama_chat(model: str, messages: list) -> dict:
|
||||||
|
payload = {
|
||||||
|
"model": model,
|
||||||
|
"messages": messages,
|
||||||
|
"tools": TOOLS,
|
||||||
|
"stream": False,
|
||||||
|
"think": False,
|
||||||
|
"keep_alive": "10m",
|
||||||
|
"options": {
|
||||||
|
"num_ctx": 32768,
|
||||||
|
"num_predict": 4096,
|
||||||
|
"temperature": 0.3,
|
||||||
|
},
|
||||||
|
}
|
||||||
|
data = json.dumps(payload).encode()
|
||||||
|
req = urlreq.Request(
|
||||||
|
f"{OLLAMA_HOST}/api/chat",
|
||||||
|
data=data,
|
||||||
|
headers={"Content-Type": "application/json"},
|
||||||
|
)
|
||||||
|
with urlreq.urlopen(req, timeout=REQUEST_TIMEOUT_S) as resp:
|
||||||
|
return json.loads(resp.read())
|
||||||
|
|
||||||
|
|
||||||
|
def pytest_passes(workdir: Path) -> bool:
|
||||||
|
r = subprocess.run(
|
||||||
|
["python3", "-m", "pytest", "tests/", "-q"],
|
||||||
|
cwd=workdir,
|
||||||
|
capture_output=True,
|
||||||
|
text=True,
|
||||||
|
timeout=60,
|
||||||
|
)
|
||||||
|
return r.returncode == 0
|
||||||
|
|
||||||
|
|
||||||
|
def run_bakeoff(model: str, workdir: Path, log_path: Path) -> dict:
|
||||||
|
log_path.parent.mkdir(parents=True, exist_ok=True)
|
||||||
|
|
||||||
|
messages = [
|
||||||
|
{"role": "system", "content": SYSTEM_PROMPT},
|
||||||
|
{"role": "user", "content": USER_PROMPT},
|
||||||
|
]
|
||||||
|
|
||||||
|
trace = {
|
||||||
|
"model": model,
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"tool_result_cap": TOOL_RESULT_CAP,
|
||||||
|
"workdir": str(workdir),
|
||||||
|
"started_at": time.time(),
|
||||||
|
"turns": [],
|
||||||
|
"final": None,
|
||||||
|
}
|
||||||
|
|
||||||
|
tool_call_counts = {"read_file": 0, "apply_patch": 0, "run_bash": 0}
|
||||||
|
halt_reason = None
|
||||||
|
|
||||||
|
for iteration in range(1, MAX_ITERATIONS + 1):
|
||||||
|
turn_start = time.time()
|
||||||
|
try:
|
||||||
|
response = ollama_chat(model, messages)
|
||||||
|
except Exception as e:
|
||||||
|
halt_reason = f"chat_error: {e}"
|
||||||
|
trace["turns"].append(
|
||||||
|
{"iteration": iteration, "error": str(e), "elapsed_s": time.time() - turn_start}
|
||||||
|
)
|
||||||
|
break
|
||||||
|
|
||||||
|
assistant_msg = response.get("message", {})
|
||||||
|
content = assistant_msg.get("content", "") or ""
|
||||||
|
tool_calls = assistant_msg.get("tool_calls", []) or []
|
||||||
|
|
||||||
|
turn = {
|
||||||
|
"iteration": iteration,
|
||||||
|
"elapsed_s": round(time.time() - turn_start, 2),
|
||||||
|
"content": content,
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": response.get("prompt_eval_count"),
|
||||||
|
"eval_count": response.get("eval_count"),
|
||||||
|
}
|
||||||
|
|
||||||
|
messages.append({"role": "assistant", "content": content, "tool_calls": tool_calls})
|
||||||
|
|
||||||
|
if not tool_calls:
|
||||||
|
trace["turns"].append(turn)
|
||||||
|
halt_reason = "no_tool_calls"
|
||||||
|
break
|
||||||
|
|
||||||
|
for tc in tool_calls:
|
||||||
|
fn = tc.get("function", {})
|
||||||
|
name = fn.get("name")
|
||||||
|
args = fn.get("arguments") or {}
|
||||||
|
if isinstance(args, str):
|
||||||
|
try:
|
||||||
|
args = json.loads(args)
|
||||||
|
except Exception:
|
||||||
|
args = {"_raw": args}
|
||||||
|
|
||||||
|
if name not in TOOL_DISPATCH:
|
||||||
|
result = f"ERROR: unknown tool {name}"
|
||||||
|
else:
|
||||||
|
try:
|
||||||
|
result = TOOL_DISPATCH[name](workdir, args)
|
||||||
|
tool_call_counts[name] = tool_call_counts.get(name, 0) + 1
|
||||||
|
except Exception as e:
|
||||||
|
result = f"ERROR: {e}"
|
||||||
|
|
||||||
|
# THE HYPOTHESIS TEST: cap tool result before sending back to model
|
||||||
|
result_sent = result[:TOOL_RESULT_CAP]
|
||||||
|
turn["tool_calls"].append({"name": name, "arguments": args, "result": result_sent[:800]})
|
||||||
|
messages.append({"role": "tool", "content": result_sent})
|
||||||
|
|
||||||
|
trace["turns"].append(turn)
|
||||||
|
|
||||||
|
if iteration == MAX_ITERATIONS:
|
||||||
|
halt_reason = "iteration_cap"
|
||||||
|
break
|
||||||
|
|
||||||
|
final_pass = pytest_passes(workdir)
|
||||||
|
trace["final"] = {
|
||||||
|
"halt_reason": halt_reason,
|
||||||
|
"tests_pass": final_pass,
|
||||||
|
"iterations_used": len(trace["turns"]),
|
||||||
|
"tool_call_counts": tool_call_counts,
|
||||||
|
"wall_clock_s": round(time.time() - trace["started_at"], 2),
|
||||||
|
}
|
||||||
|
|
||||||
|
log_path.write_text(json.dumps(trace, indent=2, default=str))
|
||||||
|
return trace
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
if len(sys.argv) != 4:
|
||||||
|
print(__doc__, file=sys.stderr)
|
||||||
|
sys.exit(2)
|
||||||
|
|
||||||
|
model, workdir_s, log_s = sys.argv[1], sys.argv[2], sys.argv[3]
|
||||||
|
workdir = Path(workdir_s).resolve()
|
||||||
|
log_path = Path(log_s).resolve()
|
||||||
|
|
||||||
|
seed = Path(__file__).parent / "task_seed"
|
||||||
|
if workdir.exists():
|
||||||
|
shutil.rmtree(workdir)
|
||||||
|
shutil.copytree(seed, workdir)
|
||||||
|
|
||||||
|
result = run_bakeoff(model, workdir, log_path)
|
||||||
|
final = result["final"]
|
||||||
|
print(
|
||||||
|
f"model={model} pass={final['tests_pass']} "
|
||||||
|
f"iters={final['iterations_used']} "
|
||||||
|
f"read={final['tool_call_counts'].get('read_file', 0)} "
|
||||||
|
f"patch={final['tool_call_counts'].get('apply_patch', 0)} "
|
||||||
|
f"bash={final['tool_call_counts'].get('run_bash', 0)} "
|
||||||
|
f"halt={final['halt_reason']} "
|
||||||
|
f"wall={final['wall_clock_s']}s"
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@@ -0,0 +1,142 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:26b",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"tool_result_cap": 1200,
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-cap1200/work",
|
||||||
|
"started_at": 1776533769.279479,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 0.5,
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 0.61,
|
||||||
|
"content": "",
|
||||||
|
"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": 599,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 0.64,
|
||||||
|
"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-cap1200/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-cap1200/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 780,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"elapsed_s": 0.85,
|
||||||
|
"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/gemma4-26b-cap1200/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 = media"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1175,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 5,
|
||||||
|
"elapsed_s": 0.86,
|
||||||
|
"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": 1597,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 6,
|
||||||
|
"elapsed_s": 2.46,
|
||||||
|
"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\n",
|
||||||
|
"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]\n",
|
||||||
|
"path": "calc/stats.py"
|
||||||
|
},
|
||||||
|
"result": "patched calc/stats.py (replaced 131 chars with 211 chars)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1886,
|
||||||
|
"eval_count": 165
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 7,
|
||||||
|
"elapsed_s": 0.75,
|
||||||
|
"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/gemma4-26b-cap1200/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": 2076,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 8,
|
||||||
|
"elapsed_s": 0.79,
|
||||||
|
"content": "Fixed the `median` function to correctly average the two middle elements when the input list has an even length.",
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": 2294,
|
||||||
|
"eval_count": 27
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"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": 8.39
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,108 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:26b",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"tool_result_cap": 1600,
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-cap1600/work",
|
||||||
|
"started_at": 1776533780.5269597,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 0.49,
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 0.61,
|
||||||
|
"content": "",
|
||||||
|
"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": 599,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 0.64,
|
||||||
|
"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-cap1600/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-cap1600/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 780,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"elapsed_s": 0.87,
|
||||||
|
"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/gemma4-26b-cap1600/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 = media"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1224,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 5,
|
||||||
|
"elapsed_s": 0.99,
|
||||||
|
"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": 1781,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 6,
|
||||||
|
"elapsed_s": 0.58,
|
||||||
|
"content": "",
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": 2070,
|
||||||
|
"eval_count": 4
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"final": {
|
||||||
|
"halt_reason": "no_tool_calls",
|
||||||
|
"tests_pass": false,
|
||||||
|
"iterations_used": 6,
|
||||||
|
"tool_call_counts": {
|
||||||
|
"read_file": 2,
|
||||||
|
"apply_patch": 0,
|
||||||
|
"run_bash": 3
|
||||||
|
},
|
||||||
|
"wall_clock_s": 4.91
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,108 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:26b",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"tool_result_cap": 2000,
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-cap2000/work",
|
||||||
|
"started_at": 1776533758.915821,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 0.55,
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 0.63,
|
||||||
|
"content": "",
|
||||||
|
"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": 599,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 0.64,
|
||||||
|
"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-cap2000/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-cap2000/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 780,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"elapsed_s": 0.88,
|
||||||
|
"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/gemma4-26b-cap2000/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 = media"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1224,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 5,
|
||||||
|
"elapsed_s": 1.08,
|
||||||
|
"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": 1868,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 6,
|
||||||
|
"elapsed_s": 0.58,
|
||||||
|
"content": "",
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": 2157,
|
||||||
|
"eval_count": 4
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"final": {
|
||||||
|
"halt_reason": "no_tool_calls",
|
||||||
|
"tests_pass": false,
|
||||||
|
"iterations_used": 6,
|
||||||
|
"tool_call_counts": {
|
||||||
|
"read_file": 2,
|
||||||
|
"apply_patch": 0,
|
||||||
|
"run_bash": 3
|
||||||
|
},
|
||||||
|
"wall_clock_s": 5.09
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,262 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:26b",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"tool_result_cap": 800,
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-truncated/work",
|
||||||
|
"started_at": 1776533701.8915875,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 0.55,
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 0.61,
|
||||||
|
"content": "",
|
||||||
|
"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": 599,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 0.64,
|
||||||
|
"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-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 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-truncated/work/tests/test_stats.py'.\nHint: make sure your test modules/packages "
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 780,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"elapsed_s": 0.76,
|
||||||
|
"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": 1040,
|
||||||
|
"eval_count": 25
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 5,
|
||||||
|
"elapsed_s": 0.83,
|
||||||
|
"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/gemma4-26b-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,
|
||||||
|
"elapsed_s": 0.79,
|
||||||
|
"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
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 12,
|
||||||
|
"elapsed_s": 0.8,
|
||||||
|
"content": "",
|
||||||
|
"tool_calls": [
|
||||||
|
{
|
||||||
|
"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"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 3213,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 13,
|
||||||
|
"elapsed_s": 0.63,
|
||||||
|
"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": 3288,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 14,
|
||||||
|
"elapsed_s": 2.44,
|
||||||
|
"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": 3553,
|
||||||
|
"eval_count": 163
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 15,
|
||||||
|
"elapsed_s": 0.74,
|
||||||
|
"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 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)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 3741,
|
||||||
|
"eval_count": 24
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"final": {
|
||||||
|
"halt_reason": "iteration_cap",
|
||||||
|
"tests_pass": true,
|
||||||
|
"iterations_used": 15,
|
||||||
|
"tool_call_counts": {
|
||||||
|
"read_file": 5,
|
||||||
|
"apply_patch": 1,
|
||||||
|
"run_bash": 9
|
||||||
|
},
|
||||||
|
"wall_clock_s": 13.35
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,107 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:26b",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b/work",
|
||||||
|
"started_at": 1776533509.5339983,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 4.81,
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 0.46,
|
||||||
|
"content": "",
|
||||||
|
"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": 599,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 0.42,
|
||||||
|
"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/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"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 780,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"elapsed_s": 0.52,
|
||||||
|
"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/gemma4-26b/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,"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1211,
|
||||||
|
"eval_count": 26
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 5,
|
||||||
|
"elapsed_s": 0.58,
|
||||||
|
"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": 1850,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 6,
|
||||||
|
"elapsed_s": 0.34,
|
||||||
|
"content": "",
|
||||||
|
"tool_calls": [],
|
||||||
|
"prompt_eval_count": 2139,
|
||||||
|
"eval_count": 4
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"final": {
|
||||||
|
"halt_reason": "no_tool_calls",
|
||||||
|
"tests_pass": false,
|
||||||
|
"iterations_used": 6,
|
||||||
|
"tool_call_counts": {
|
||||||
|
"read_file": 2,
|
||||||
|
"apply_patch": 0,
|
||||||
|
"run_bash": 3
|
||||||
|
},
|
||||||
|
"wall_clock_s": 7.81
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,141 @@
|
|||||||
|
{
|
||||||
|
"model": "gemma4:31b-it-q4_K_M",
|
||||||
|
"edit_tool": "apply_patch",
|
||||||
|
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-31b/work",
|
||||||
|
"started_at": 1776533548.342022,
|
||||||
|
"turns": [
|
||||||
|
{
|
||||||
|
"iteration": 1,
|
||||||
|
"elapsed_s": 15.82,
|
||||||
|
"content": "",
|
||||||
|
"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": 458,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 2,
|
||||||
|
"elapsed_s": 1.5,
|
||||||
|
"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/gemma4-31b/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"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 639,
|
||||||
|
"eval_count": 19
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 3,
|
||||||
|
"elapsed_s": 2.47,
|
||||||
|
"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": 1070,
|
||||||
|
"eval_count": 21
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 4,
|
||||||
|
"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"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"prompt_eval_count": 1850,
|
||||||
|
"eval_count": 23
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"iteration": 6,
|
||||||
|
"elapsed_s": 7.31,
|
||||||
|
"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": 2139,
|
||||||
|
"eval_count": 163
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"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
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -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
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user