fix: walk back round-1/2 conclusions — the cause was think=false all along
Seth asked "was this with think=false?" Yes — and that was the only question that mattered. Everything I concluded in round 1 and round 2 was wrong. Actual cause, isolated in round 3: - At identical message state, gemma4:26b with think=false returns eval=4 (silent stop); with think unset or think=true, returns eval=165 and emits the correct tool call. - Original round-1 write_file harness + think unset: 26B passes in 8 iters, 20s. No mitigations needed. - 31B dense and qwen3-coder:30b tolerate think=false; 26B MoE does not. Red herrings (kept on-record in the bakeoff doc, not silently erased): - Round 1: "write_file tool-call argument size" — wrong - Round 2a: refuted the arg-size theory but for the wrong reason (still failed because think=false was still set) - Round 2b: "cumulative tool-response context size" — truncating did make 26B pass, but by coincidence. Shorter context at the decision turn dodged the think=false side effect. Why the existing "always think:false" guidance was misleading: it was derived from AI_Visualizer (single-turn JSON pipelines) where thinking tokens do eat num_predict invisibly. In multi-turn tool-calling agents the channels are separate and the flag has a different effect — catastrophic on 26B specifically. Doc updates: - GOTCHAS: replaced the 26B entry with the actual cause; scoped the original "Thinking Mode Eats Context" entry to single-turn pipelines - SYNTHESIS: split the "Mandatory Ollama Settings" block into single-turn vs multi-turn variants; updated anti-patterns and quick-start checklist - CORPUS_cli_coding_agent.md: revised pointer and config template - docs/reference/bakeoff-2026-04-18.md: added Round 3 section with the correction notice at the top of the file and full diagnostic methodology New artifacts: harness_no_think_flag.py, harness_write_no_think.py, and 4 new log files demonstrating all three models pass when think is left at default.
This commit is contained in:
Mortdecai
@@ -0,0 +1,173 @@
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"""Diagnostic: patch-mode harness with think flag OMITTED (Ollama default).
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Exact copy of harness_patch.py except the payload does NOT set "think".
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Testing whether Gemma 4 26B's silent-stop at iter 6 is caused by
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`think: false` specifically, rather than by tool-response context.
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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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{"type": "function", "function": {"name": "read_file", "description": "Read a file. Path is relative to the working directory.", "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]}}},
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{"type": "function", "function": {"name": "apply_patch", "description": "Replace a unique span of text in a file. old_text must appear exactly once. Include surrounding context if needed to make the match unique.", "parameters": {"type": "object", "properties": {"path": {"type": "string"}, "old_text": {"type": "string"}, "new_text": {"type": "string"}}, "required": ["path", "old_text", "new_text"]}}},
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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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]
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def safe_path(workdir, rel):
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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, args):
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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, args):
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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, new = args["old_text"], args["new_text"]
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text = p.read_text()
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n = text.count(old)
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if n == 0:
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return f"ERROR: old_text not found in {args['path']}."
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if n > 1:
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return f"ERROR: old_text appears {n} times in {args['path']}."
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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, args):
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try:
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r = subprocess.run(["bash", "-c", args["command"]], cwd=workdir, capture_output=True, text=True, timeout=BASH_TIMEOUT_S)
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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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return f"exit={r.returncode}\n--- stdout ---\n{r.stdout[-4000:]}\n--- stderr ---\n{r.stderr[-2000:]}"
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TOOL_DISPATCH = {"read_file": tool_read_file, "apply_patch": tool_apply_patch, "run_bash": tool_run_bash}
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def ollama_chat(model, messages):
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# NOTE: no "think" key — Ollama default behavior
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payload = {
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"model": model, "messages": messages, "tools": TOOLS,
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"stream": False, "keep_alive": "10m",
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"options": {"num_ctx": 32768, "num_predict": 4096, "temperature": 0.3},
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}
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req = urlreq.Request(f"{OLLAMA_HOST}/api/chat", data=json.dumps(payload).encode(), headers={"Content-Type": "application/json"})
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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):
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r = subprocess.run(["python3", "-m", "pytest", "tests/", "-q"], cwd=workdir, capture_output=True, text=True, timeout=60)
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return r.returncode == 0
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def run_bakeoff(model, workdir, log_path):
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log_path.parent.mkdir(parents=True, exist_ok=True)
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messages = [{"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": USER_PROMPT}]
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trace = {"model": model, "edit_tool": "apply_patch", "think_setting": "unset (default)", "workdir": str(workdir), "started_at": time.time(), "turns": [], "final": None}
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counts = {"read_file": 0, "apply_patch": 0, "run_bash": 0}
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halt = None
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for i in range(1, MAX_ITERATIONS + 1):
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t0 = time.time()
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try:
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r = ollama_chat(model, messages)
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except Exception as e:
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halt = f"chat_error: {e}"
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trace["turns"].append({"iteration": i, "error": str(e)})
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break
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msg = r.get("message", {})
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content = msg.get("content", "") or ""
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tcs = msg.get("tool_calls") or []
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thinking = msg.get("thinking")
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turn = {"iteration": i, "elapsed_s": round(time.time() - t0, 2), "content": content, "tool_calls": [], "prompt_eval_count": r.get("prompt_eval_count"), "eval_count": r.get("eval_count"), "thinking_field_len": len(thinking) if thinking else 0}
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messages.append({"role": "assistant", "content": content, "tool_calls": tcs})
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if not tcs:
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trace["turns"].append(turn)
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halt = "no_tool_calls"
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break
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for tc in tcs:
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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: args = json.loads(args)
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except: args = {"_raw": args}
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try: result = TOOL_DISPATCH[name](workdir, args) if name in TOOL_DISPATCH else f"ERROR: unknown {name}"
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except Exception as e: result = f"ERROR: {e}"
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if name in counts: counts[name] += 1
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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 i == MAX_ITERATIONS:
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halt = "iteration_cap"
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break
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trace["final"] = {"halt_reason": halt, "tests_pass": pytest_passes(workdir), "iterations_used": len(trace["turns"]), "tool_call_counts": counts, "wall_clock_s": round(time.time() - trace["started_at"], 2)}
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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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model, workdir_s, log_s = sys.argv[1], sys.argv[2], sys.argv[3]
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workdir, log_path = Path(workdir_s).resolve(), Path(log_s).resolve()
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seed = Path(__file__).parent / "task_seed"
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if workdir.exists(): shutil.rmtree(workdir)
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shutil.copytree(seed, workdir)
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r = run_bakeoff(model, workdir, log_path)
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f = r["final"]
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print(f"model={model} pass={f['tests_pass']} iters={f['iterations_used']} reads={f['tool_call_counts']['read_file']} patches={f['tool_call_counts']['apply_patch']} bashes={f['tool_call_counts']['run_bash']} halt={f['halt_reason']} wall={f['wall_clock_s']}s")
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,137 @@
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"""Closes the loop on Round 1: original write_file harness, but think flag omitted.
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If 26B PASSES here, the original Round 1 failure (and Round 2 patch-mode failure)
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were both caused by `think: false`, not by the edit tool surface or response size.
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"""
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from __future__ import annotations
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import json, os, shutil, subprocess, sys, 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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|
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## What you do
|
||||
- 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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|
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## What you do NOT do
|
||||
- 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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|
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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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||||
- write_file(path, content): overwrite a file relative to the working directory
|
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- 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.
|
||||
"""
|
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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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{"type": "function", "function": {"name": "read_file", "description": "Read a file relative to workdir.", "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]}}},
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{"type": "function", "function": {"name": "write_file", "description": "Overwrite a file relative to workdir.", "parameters": {"type": "object", "properties": {"path": {"type": "string"}, "content": {"type": "string"}}, "required": ["path", "content"]}}},
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{"type": "function", "function": {"name": "run_bash", "description": "Run a bash command in workdir.", "parameters": {"type": "object", "properties": {"command": {"type": "string"}}, "required": ["command"]}}},
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]
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|
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def safe_path(wd, rel):
|
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p = (wd / rel).resolve()
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if not str(p).startswith(str(wd.resolve())):
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raise ValueError(f"path escapes workdir: {rel}")
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return p
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def t_read(wd, a):
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p = safe_path(wd, a["path"])
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return p.read_text() if p.exists() else f"ERROR: {a['path']} does not exist"
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def t_write(wd, a):
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p = safe_path(wd, a["path"])
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p.parent.mkdir(parents=True, exist_ok=True)
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p.write_text(a["content"])
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return f"wrote {a['path']} ({len(a['content'])} bytes)"
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def t_bash(wd, a):
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try:
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r = subprocess.run(["bash", "-c", a["command"]], cwd=wd, capture_output=True, text=True, timeout=BASH_TIMEOUT_S)
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except subprocess.TimeoutExpired:
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return f"ERROR: timeout {BASH_TIMEOUT_S}s"
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return f"exit={r.returncode}\n--- stdout ---\n{r.stdout[-4000:]}\n--- stderr ---\n{r.stderr[-2000:]}"
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DISP = {"read_file": t_read, "write_file": t_write, "run_bash": t_bash}
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|
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def chat(model, msgs):
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payload = {"model": model, "messages": msgs, "tools": TOOLS, "stream": False, "keep_alive": "10m", "options": {"num_ctx": 32768, "num_predict": 4096, "temperature": 0.3}}
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req = urlreq.Request(f"{OLLAMA_HOST}/api/chat", data=json.dumps(payload).encode(), headers={"Content-Type": "application/json"})
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with urlreq.urlopen(req, timeout=REQUEST_TIMEOUT_S) as r:
|
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return json.loads(r.read())
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|
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|
||||
def run(model, wd, logp):
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logp.parent.mkdir(parents=True, exist_ok=True)
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msgs = [{"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": USER_PROMPT}]
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trace = {"model": model, "edit_tool": "write_file", "think_setting": "unset (default)", "turns": [], "started_at": time.time()}
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counts = {"read_file": 0, "write_file": 0, "run_bash": 0}
|
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halt = None
|
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for i in range(1, MAX_ITERATIONS + 1):
|
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t0 = time.time()
|
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try:
|
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r = chat(model, msgs)
|
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except Exception as e:
|
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halt = f"error: {e}"
|
||||
break
|
||||
m = r.get("message", {})
|
||||
tcs = m.get("tool_calls") or []
|
||||
trace["turns"].append({"iteration": i, "elapsed_s": round(time.time() - t0, 2), "content": m.get("content") or "", "prompt_eval_count": r.get("prompt_eval_count"), "eval_count": r.get("eval_count"), "tool_calls_count": len(tcs)})
|
||||
msgs.append({"role": "assistant", "content": m.get("content") or "", "tool_calls": tcs})
|
||||
if not tcs:
|
||||
halt = "no_tool_calls"
|
||||
break
|
||||
for tc in tcs:
|
||||
fn = tc.get("function", {})
|
||||
n = fn.get("name")
|
||||
args = fn.get("arguments") or {}
|
||||
if isinstance(args, str):
|
||||
try: args = json.loads(args)
|
||||
except: args = {"_raw": args}
|
||||
try: res = DISP[n](wd, args) if n in DISP else f"ERROR: unknown {n}"
|
||||
except Exception as e: res = f"ERROR: {e}"
|
||||
if n in counts: counts[n] += 1
|
||||
msgs.append({"role": "tool", "content": res})
|
||||
if i == MAX_ITERATIONS:
|
||||
halt = "cap"
|
||||
break
|
||||
p = subprocess.run(["python3", "-m", "pytest", "tests/", "-q"], cwd=wd, capture_output=True, text=True, timeout=60)
|
||||
trace["final"] = {"halt_reason": halt, "tests_pass": p.returncode == 0, "iterations_used": len(trace["turns"]), "tool_call_counts": counts, "wall_clock_s": round(time.time() - trace["started_at"], 2)}
|
||||
logp.write_text(json.dumps(trace, indent=2, default=str))
|
||||
return trace
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
model, wd_s, log_s = sys.argv[1], sys.argv[2], sys.argv[3]
|
||||
wd, logp = Path(wd_s).resolve(), Path(log_s).resolve()
|
||||
seed = Path(__file__).parent / "task_seed"
|
||||
if wd.exists(): shutil.rmtree(wd)
|
||||
shutil.copytree(seed, wd)
|
||||
r = run(model, wd, logp)
|
||||
f = r["final"]
|
||||
print(f"model={model} pass={f['tests_pass']} iters={f['iterations_used']} r={f['tool_call_counts']['read_file']} w={f['tool_call_counts']['write_file']} b={f['tool_call_counts']['run_bash']} halt={f['halt_reason']} wall={f['wall_clock_s']}s")
|
||||
@@ -0,0 +1,150 @@
|
||||
{
|
||||
"model": "gemma4:26b",
|
||||
"edit_tool": "apply_patch",
|
||||
"think_setting": "unset (default)",
|
||||
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/gemma4-26b-no-think-flag/work",
|
||||
"started_at": 1776549973.621934,
|
||||
"turns": [
|
||||
{
|
||||
"iteration": 1,
|
||||
"elapsed_s": 0.75,
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "run_bash",
|
||||
"arguments": {
|
||||
"command": "ls -R"
|
||||
},
|
||||
"result": "exit=0\n--- stdout ---\n.:\ncalc\nREADME.md\ntests\n\n./calc:\n__init__.py\n__pycache__\nstats.py\n\n./calc/__pycache__:\n__init__.cpython-313.pyc\nstats.cpython-313.pyc\n\n./tests:\n__pycache__\ntest_stats.py\n\n./tests/__pycache__:\ntest_stats.cpython-313-pytest-9.0.2.pyc\n\n--- stderr ---\n"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 459,
|
||||
"eval_count": 55,
|
||||
"thinking_field_len": 152
|
||||
},
|
||||
{
|
||||
"iteration": 2,
|
||||
"elapsed_s": 0.67,
|
||||
"content": "",
|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "read_file",
|
||||
"arguments": {
|
||||
"path": "tests/test_stats.py"
|
||||
},
|
||||
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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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||||
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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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||||
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||||
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|
||||
"workdir": "/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/qwen3-coder-30b-no-think-flag/work",
|
||||
"started_at": 1776550090.9317613,
|
||||
"turns": [
|
||||
{
|
||||
"iteration": 1,
|
||||
"elapsed_s": 10.94,
|
||||
"content": "I'll help you make the failing tests pass. First, let's understand what we're working with by reading the README.md file to get context about the project.",
|
||||
"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": 55,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 2,
|
||||
"elapsed_s": 0.54,
|
||||
"content": "Now let's look at the structure of the project to understand what files we're working with:",
|
||||
"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": 903,
|
||||
"eval_count": 47,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 3,
|
||||
"elapsed_s": 0.46,
|
||||
"content": "Let's examine the test file to understand what's failing:",
|
||||
"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": 1099,
|
||||
"eval_count": 36,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 4,
|
||||
"elapsed_s": 0.47,
|
||||
"content": "Now let's look at the 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": 1399,
|
||||
"eval_count": 35,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 5,
|
||||
"elapsed_s": 2.45,
|
||||
"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. \n\nLooking at the test `test_median_even()`, it expects `median([1, 2, 3, 4])` to return `2.5`, but the current implementation returns `s[n // 2]` which would be `s[2]` = `3` for the list `[1, 2, 3, 4]`.\n\nFor an even-length list, we need to average the two middle elements. Let me fix this:",
|
||||
"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": 1669,
|
||||
"eval_count": 283,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 6,
|
||||
"elapsed_s": 0.43,
|
||||
"content": "Now let's run the tests to see if our fix works:",
|
||||
"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-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 0 items / 1 error\n\n==================================== ERRORS ====================================\n_____________________ ERROR collecting tests/test_stats.py _____________________\nImportError while importing test module '/home/claude/bin/gemma4-research/scripts/bakeoff/runs_patch/qwen3-coder-30b-no-think-flag/work/tests/test_stats.py'.\nHint: make sure your test"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 1984,
|
||||
"eval_count": 37,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 7,
|
||||
"elapsed_s": 0.63,
|
||||
"content": "It seems there's an import issue. Let's check the current working directory 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-no-think-flag/work\ntotal 24\ndrwxrwxr-x 5 claude claude 4096 Apr 18 13:19 .\ndrwxrwxr-x 3 claude claude 4096 Apr 18 18:08 ..\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": 2403,
|
||||
"eval_count": 51,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 8,
|
||||
"elapsed_s": 0.49,
|
||||
"content": "Let's run pytest from the correct directory:",
|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "run_bash",
|
||||
"arguments": {
|
||||
"command": "python -m pytest"
|
||||
},
|
||||
"result": "exit=127\n--- stdout ---\n\n--- stderr ---\nbash: line 1: python: command not found\n"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 2689,
|
||||
"eval_count": 36,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 9,
|
||||
"elapsed_s": 0.42,
|
||||
"content": "Let me try with python3:",
|
||||
"tool_calls": [
|
||||
{
|
||||
"name": "run_bash",
|
||||
"arguments": {
|
||||
"command": "python3 -m 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-no-think-flag/work\nplugins: asyncio-1.3.0, anyio-4.12.1\nasyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function\ncollected 7 items\n\ntests/test_stats.py ....... [100%]\n\n============================== 7 passed in 0.01s ===============================\n\n--- stderr ---\n"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 2762,
|
||||
"eval_count": 35,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 10,
|
||||
"elapsed_s": 0.56,
|
||||
"content": "Great! All tests are now passing. Let me verify that our fix is correct by checking what we changed:",
|
||||
"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 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) < 2:\n raise Va"
|
||||
}
|
||||
],
|
||||
"prompt_eval_count": 2980,
|
||||
"eval_count": 45,
|
||||
"thinking_field_len": 0
|
||||
},
|
||||
{
|
||||
"iteration": 11,
|
||||
"elapsed_s": 1.31,
|
||||
"content": "Perfect! I've successfully fixed the median function to handle even-length lists correctly. The issue was that for even-length lists, the median should be the average of the two middle elements, not just the upper-middle element.\n\nMy fix:\n1. For odd-length lists: returns the middle element (as before)\n2. For even-length lists: returns the average of the two middle elements\n\nThis change makes the median function work correctly for all test cases, including:\n- `median([1, 2, 3, 4])` now returns `2.5` instead of `3`\n- All other median test cases continue to work as expected\n\nAll tests now pass successfully.",
|
||||
"tool_calls": [],
|
||||
"prompt_eval_count": 3296,
|
||||
"eval_count": 140,
|
||||
"thinking_field_len": 0
|
||||
}
|
||||
],
|
||||
"final": {
|
||||
"halt_reason": "no_tool_calls",
|
||||
"tests_pass": true,
|
||||
"iterations_used": 11,
|
||||
"tool_call_counts": {
|
||||
"read_file": 4,
|
||||
"apply_patch": 1,
|
||||
"run_bash": 5
|
||||
},
|
||||
"wall_clock_s": 19.5
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user