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
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"""CLI coding agent bakeoff — apply_patch variant.
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Identical to harness.py except the edit tool is:
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apply_patch(path, old_text, new_text)
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instead of:
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write_file(path, content)
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Purpose: test the hypothesis that gemma4:26b's silent-stop at the write_file
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boundary is specifically about long tool-call argument emission (~500-char
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content string). apply_patch keeps arguments small — the model only emits the
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exact lines being changed + their replacement.
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Invocation:
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python3 harness_patch.py <model-tag> <workdir> <log-path>
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"""
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from __future__ import annotations
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import json
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import os
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import shutil
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import subprocess
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import sys
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import time
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from pathlib import Path
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from urllib import request as urlreq
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OLLAMA_HOST = os.environ.get("OLLAMA_HOST", "http://127.0.0.1:11434")
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MAX_ITERATIONS = 15
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BASH_TIMEOUT_S = 30
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REQUEST_TIMEOUT_S = 540
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SYSTEM_PROMPT = """You are a terminal coding agent.
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## What you do
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- Read source and test files to understand the code
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- Make targeted edits to fix bugs so the tests pass
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- Run pytest to verify your fix
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- Stop once all tests pass and reply with a one-sentence summary
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## What you do NOT do
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- Never modify files under tests/
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- Never disable, skip, or delete tests
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- Never write outside the working directory
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- Never call tools after all tests pass — just reply with the summary and stop
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## Available tools
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- read_file(path): read a file relative to the working directory
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- apply_patch(path, old_text, new_text): replace an exact unique text span in a file
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- run_bash(command): run a shell command in the working directory
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## Rules
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- Start by reading README.md
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- Prefer minimal edits. Do not refactor unrelated code.
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- Run the full test suite after each edit to verify.
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- apply_patch requires old_text to appear EXACTLY ONCE in the file; include enough surrounding context to make it unique.
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"""
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USER_PROMPT = "Make the failing tests pass. Begin."
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TOOLS = [
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{
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"type": "function",
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"function": {
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"name": "read_file",
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"description": "Read a file. Path is relative to the working directory.",
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"parameters": {
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"type": "object",
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"properties": {"path": {"type": "string"}},
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"required": ["path"],
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},
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},
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},
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{
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"type": "function",
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"function": {
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"name": "apply_patch",
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"description": (
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"Replace a unique span of text in a file. old_text must appear exactly once. "
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"Include surrounding context if needed to make the match unique."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"path": {"type": "string"},
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"old_text": {"type": "string"},
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"new_text": {"type": "string"},
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},
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"required": ["path", "old_text", "new_text"],
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},
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},
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},
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{
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"type": "function",
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"function": {
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"name": "run_bash",
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"description": "Run a shell command in the working directory. Returns stdout, stderr, and exit code.",
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"parameters": {
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"type": "object",
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"properties": {"command": {"type": "string"}},
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"required": ["command"],
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},
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},
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},
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]
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def safe_path(workdir: Path, rel: str) -> Path:
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p = (workdir / rel).resolve()
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if not str(p).startswith(str(workdir.resolve())):
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raise ValueError(f"path escapes workdir: {rel}")
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return p
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def tool_read_file(workdir: Path, args: dict) -> str:
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p = safe_path(workdir, args["path"])
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if not p.exists():
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return f"ERROR: {args['path']} does not exist"
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return p.read_text()
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def tool_apply_patch(workdir: Path, args: dict) -> str:
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p = safe_path(workdir, args["path"])
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if not p.exists():
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return f"ERROR: {args['path']} does not exist"
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old = args["old_text"]
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new = args["new_text"]
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text = p.read_text()
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occurrences = text.count(old)
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if occurrences == 0:
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return (
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f"ERROR: old_text not found in {args['path']}. "
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"Re-read the file and copy the exact text (whitespace matters)."
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)
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if occurrences > 1:
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return (
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f"ERROR: old_text appears {occurrences} times in {args['path']}. "
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"Include more surrounding context so it matches exactly once."
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)
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p.write_text(text.replace(old, new, 1))
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return f"patched {args['path']} (replaced {len(old)} chars with {len(new)} chars)"
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def tool_run_bash(workdir: Path, args: dict) -> str:
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try:
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r = subprocess.run(
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["bash", "-c", args["command"]],
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cwd=workdir,
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capture_output=True,
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text=True,
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timeout=BASH_TIMEOUT_S,
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)
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except subprocess.TimeoutExpired:
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return f"ERROR: command timed out after {BASH_TIMEOUT_S}s"
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head = (
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f"exit={r.returncode}\n"
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f"--- stdout ---\n{r.stdout[-4000:]}\n"
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f"--- stderr ---\n{r.stderr[-2000:]}"
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)
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return head
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TOOL_DISPATCH = {
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"read_file": tool_read_file,
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"apply_patch": tool_apply_patch,
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"run_bash": tool_run_bash,
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}
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def ollama_chat(model: str, messages: list) -> dict:
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payload = {
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"model": model,
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"messages": messages,
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"tools": TOOLS,
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"stream": False,
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"think": False,
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"keep_alive": "10m",
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"options": {
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"num_ctx": 32768,
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"num_predict": 4096,
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"temperature": 0.3,
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},
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}
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data = json.dumps(payload).encode()
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req = urlreq.Request(
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f"{OLLAMA_HOST}/api/chat",
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data=data,
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headers={"Content-Type": "application/json"},
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)
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with urlreq.urlopen(req, timeout=REQUEST_TIMEOUT_S) as resp:
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return json.loads(resp.read())
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def pytest_passes(workdir: Path) -> bool:
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r = subprocess.run(
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["python3", "-m", "pytest", "tests/", "-q"],
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cwd=workdir,
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capture_output=True,
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text=True,
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timeout=60,
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)
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return r.returncode == 0
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def run_bakeoff(model: str, workdir: Path, log_path: Path) -> dict:
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log_path.parent.mkdir(parents=True, exist_ok=True)
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messages = [
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": USER_PROMPT},
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]
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trace = {
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"model": model,
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"edit_tool": "apply_patch",
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"workdir": str(workdir),
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"started_at": time.time(),
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"turns": [],
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"final": None,
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}
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tool_call_counts = {"read_file": 0, "apply_patch": 0, "run_bash": 0}
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halt_reason = None
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for iteration in range(1, MAX_ITERATIONS + 1):
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turn_start = time.time()
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try:
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response = ollama_chat(model, messages)
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except Exception as e:
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halt_reason = f"chat_error: {e}"
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trace["turns"].append(
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{"iteration": iteration, "error": str(e), "elapsed_s": time.time() - turn_start}
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)
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break
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assistant_msg = response.get("message", {})
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content = assistant_msg.get("content", "") or ""
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tool_calls = assistant_msg.get("tool_calls", []) or []
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turn = {
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"iteration": iteration,
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"elapsed_s": round(time.time() - turn_start, 2),
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"content": content,
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"tool_calls": [],
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"prompt_eval_count": response.get("prompt_eval_count"),
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"eval_count": response.get("eval_count"),
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}
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messages.append({"role": "assistant", "content": content, "tool_calls": tool_calls})
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if not tool_calls:
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trace["turns"].append(turn)
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halt_reason = "no_tool_calls"
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break
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for tc in tool_calls:
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fn = tc.get("function", {})
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name = fn.get("name")
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args = fn.get("arguments") or {}
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if isinstance(args, str):
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try:
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args = json.loads(args)
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except Exception:
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args = {"_raw": args}
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if name not in TOOL_DISPATCH:
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result = f"ERROR: unknown tool {name}"
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else:
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try:
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result = TOOL_DISPATCH[name](workdir, args)
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tool_call_counts[name] = tool_call_counts.get(name, 0) + 1
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except Exception as e:
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result = f"ERROR: {e}"
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turn["tool_calls"].append({"name": name, "arguments": args, "result": result[:800]})
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messages.append({"role": "tool", "content": result})
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trace["turns"].append(turn)
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if iteration == MAX_ITERATIONS:
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halt_reason = "iteration_cap"
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break
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final_pass = pytest_passes(workdir)
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trace["final"] = {
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"halt_reason": halt_reason,
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"tests_pass": final_pass,
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"iterations_used": len(trace["turns"]),
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"tool_call_counts": tool_call_counts,
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"wall_clock_s": round(time.time() - trace["started_at"], 2),
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}
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log_path.write_text(json.dumps(trace, indent=2, default=str))
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return trace
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def main():
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if len(sys.argv) != 4:
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print(__doc__, file=sys.stderr)
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sys.exit(2)
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model, workdir_s, log_s = sys.argv[1], sys.argv[2], sys.argv[3]
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workdir = Path(workdir_s).resolve()
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log_path = Path(log_s).resolve()
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seed = Path(__file__).parent / "task_seed"
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if workdir.exists():
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shutil.rmtree(workdir)
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shutil.copytree(seed, workdir)
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result = run_bakeoff(model, workdir, log_path)
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final = result["final"]
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print(
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f"model={model} pass={final['tests_pass']} "
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f"iters={final['iterations_used']} "
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f"read={final['tool_call_counts'].get('read_file', 0)} "
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f"patch={final['tool_call_counts'].get('apply_patch', 0)} "
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f"bash={final['tool_call_counts'].get('run_bash', 0)} "
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f"halt={final['halt_reason']} "
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f"wall={final['wall_clock_s']}s"
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)
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,322 @@
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"""Diagnostic variant: patch-mode harness with aggressively truncated tool responses.
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Identical to harness_patch.py except every tool result is truncated to 800
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chars before being sent back to the model. Tests the hypothesis that 26B's
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silent-stop is triggered by accumulated large tool-response context (full
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pytest output is ~4-6KB; this caps it at 800 chars to match what the log
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stores).
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"""
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from __future__ import annotations
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import json
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import os
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import shutil
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import subprocess
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import sys
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import time
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from pathlib import Path
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from urllib import request as urlreq
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OLLAMA_HOST = os.environ.get("OLLAMA_HOST", "http://127.0.0.1:11434")
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MAX_ITERATIONS = 15
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BASH_TIMEOUT_S = 30
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REQUEST_TIMEOUT_S = 540
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TOOL_RESULT_CAP = int(os.environ.get("TOOL_RESULT_CAP", "800")) # override via env
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SYSTEM_PROMPT = """You are a terminal coding agent.
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|
||||
## 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
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||||
- Never modify files under tests/
|
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- Never disable, skip, or delete tests
|
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- Never write outside the working directory
|
||||
- Never call tools after all tests pass — just reply with the summary and stop
|
||||
|
||||
## Available tools
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- 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."
|
||||
|
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TOOLS = [
|
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{
|
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"type": "function",
|
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"function": {
|
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"name": "read_file",
|
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"description": "Read a file. Path is relative to the working directory.",
|
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"parameters": {
|
||||
"type": "object",
|
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"properties": {"path": {"type": "string"}},
|
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"required": ["path"],
|
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},
|
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},
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},
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{
|
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"type": "function",
|
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"function": {
|
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"name": "apply_patch",
|
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"description": (
|
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"Replace a unique span of text in a file. old_text must appear exactly once. "
|
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"Include surrounding context if needed to make the match unique."
|
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),
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"parameters": {
|
||||
"type": "object",
|
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"properties": {
|
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"path": {"type": "string"},
|
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"old_text": {"type": "string"},
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"new_text": {"type": "string"},
|
||||
},
|
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"required": ["path", "old_text", "new_text"],
|
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},
|
||||
},
|
||||
},
|
||||
{
|
||||
"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"],
|
||||
},
|
||||
},
|
||||
},
|
||||
]
|
||||
|
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|
||||
def safe_path(workdir: Path, rel: str) -> Path:
|
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p = (workdir / rel).resolve()
|
||||
if not str(p).startswith(str(workdir.resolve())):
|
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raise ValueError(f"path escapes workdir: {rel}")
|
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return p
|
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|
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|
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def tool_read_file(workdir: Path, args: dict) -> str:
|
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p = safe_path(workdir, args["path"])
|
||||
if not p.exists():
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return f"ERROR: {args['path']} does not exist"
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return p.read_text()
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||||
|
||||
|
||||
def tool_apply_patch(workdir: Path, args: dict) -> str:
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p = safe_path(workdir, args["path"])
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if not p.exists():
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return f"ERROR: {args['path']} does not exist"
|
||||
old = args["old_text"]
|
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new = args["new_text"]
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text = p.read_text()
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||||
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"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"result": "\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = mean(numbers)\n return"
|
||||
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|
||||
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|
||||
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|
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|
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"result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n"
|
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|
||||
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|
||||
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|
||||
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|
||||
"result": "# Bakeoff Task\n\nA tiny Python package (`calc/`) with a statistics module. Run `pytest` from this\ndirectory \u2014 two tests currently fail because `median` returns the upper-middle\nelement instead of averaging the two middle elements on even-length inputs.\n\nYour job: make all tests pass. Do not disable or modify the tests.\n\nAllowed tools:\n- `read_file(path)` \u2014 read a file (relative to this directory)\n- `write_file(path, content)` \u2014 overwrite a file (relative to this directory)\n- `run_bash(command)` \u2014 run a shell command (cwd is this directory)\n\nWhen all tests pass, reply with a short summary of the fix and stop calling tools.\n"
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"result": "exit=2\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-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"
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|
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|
||||
"result": "exit=1\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-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"
|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
"result": "\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = mean(numbers)\n return"
|
||||
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|
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|
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|
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|
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|
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@@ -0,0 +1,262 @@
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|
||||
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|
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|
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|
||||
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|
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"result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n"
|
||||
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|
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|
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|
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|
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|
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|
||||
"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"
|
||||
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|
||||
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|
||||
"prompt_eval_count": 599,
|
||||
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|
||||
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|
||||
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|
||||
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|
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"content": "",
|
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|
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|
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|
||||
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|
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|
||||
},
|
||||
"result": "exit=2\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-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 "
|
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|
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|
||||
"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,
|
||||
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|
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|
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|
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"tool_calls": [
|
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{
|
||||
"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
|
||||
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|
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{
|
||||
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|
||||
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|
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|
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"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
|
||||
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|
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|
||||
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|
||||
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|
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|
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|
||||
{
|
||||
"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
|
||||
},
|
||||
{
|
||||
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|
||||
"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"
|
||||
}
|
||||
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|
||||
"prompt_eval_count": 2141,
|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "run_bash",
|
||||
"arguments": {
|
||||
"command": "cat calc/stats.py"
|
||||
},
|
||||
"result": "exit=0\n--- stdout ---\n\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = me"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 2409,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
{
|
||||
"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,
|
||||
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|
||||
},
|
||||
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|
||||
"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,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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"
|
||||
}
|
||||
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|
||||
"prompt_eval_count": 3213,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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)"
|
||||
}
|
||||
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|
||||
"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
|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"wall_clock_s": 13.35
|
||||
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|
||||
}
|
||||
@@ -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,
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
"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"
|
||||
}
|
||||
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|
||||
"prompt_eval_count": 458,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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"
|
||||
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|
||||
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|
||||
"prompt_eval_count": 599,
|
||||
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|
||||
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|
||||
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|
||||
"iteration": 3,
|
||||
"elapsed_s": 0.42,
|
||||
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|
||||
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|
||||
{
|
||||
"name": "run_bash",
|
||||
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|
||||
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|
||||
},
|
||||
"result": "exit=2\n--- stdout ---\n============================= test session starts ==============================\nplatform linux -- Python 3.13.5, pytest-9.0.2, pluggy-1.6.0\nrootdir: /home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_____________________ ERROR collecting tests/test_stats.py _____________________\nImportError while importing test module '/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b/work/tests/test_stats.py'.\nHint: make sure your test modules/packages have valid Python na"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"iteration": 4,
|
||||
"elapsed_s": 0.52,
|
||||
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|
||||
"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,
|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
"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"
|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"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"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"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"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n"
|
||||
}
|
||||
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|
||||
"prompt_eval_count": 1070,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "read_file",
|
||||
"arguments": {
|
||||
"path": "calc/stats.py"
|
||||
},
|
||||
"result": "\"\"\"Basic statistics helpers.\"\"\"\n\n\ndef mean(numbers):\n \"\"\"Arithmetic mean of a non-empty list.\"\"\"\n return sum(numbers) / len(numbers)\n\n\ndef median(numbers):\n \"\"\"Return the median of a list of numbers.\"\"\"\n s = sorted(numbers)\n n = len(s)\n return s[n // 2]\n\n\ndef mode(numbers):\n \"\"\"Return the most common value. Ties broken by first occurrence.\"\"\"\n counts = {}\n for x in numbers:\n counts[x] = counts.get(x, 0) + 1\n best = None\n best_count = -1\n for x in numbers:\n if counts[x] > best_count:\n best = x\n best_count = counts[x]\n return best\n\n\ndef variance(numbers):\n \"\"\"Sample variance (divides by n-1).\"\"\"\n if len(numbers) < 2:\n raise ValueError(\"variance requires at least 2 values\")\n m = mean(numbers)\n return"
|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"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)"
|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"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