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f1720ff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"task_id": "rust_multicrate_reconstruction",
"name": "Rust Multicrate Reconstruction",
"category": "Systems & Software Engineering",
"base_image": "rust",
"platform": "linux/amd64",
"internet": false,
"cwd": "/home/workspace/cas_rust_benchmark",
"submit_paths": [
"agent-start/"
],
"submit_exclude": [
"agent-start/target/",
"agent-start/.git/",
"agent-start/__pycache__/",
"agent-start/**/*.pyc",
"agent-start/score-results.json",
"agent-start/vendor-deps/",
"agent-start/.cargo/registry/",
"agent-start/.cargo/git/"
],
"work": {
"image_tag": "7f639fc9d090",
"specs_dir": "/home/workspace/cas_rust_benchmark",
"agent_query": "## CAS Rust Multi-Crate Reconstruction\n\nComplete the missing Rust implementations in the unpacked CAS workspace. The main development directory is `agent-start/`.\n\nRead `agent-start/TASK.md`, `agent-start/SPEC.md`, and `agent-start/README.md` for the crate behavior expectations, edit boundaries, local scoring command, and the distinction between production TODOs and public test-helper TODOs. The hidden evaluator runs additional tests for the same public crate and CLI contracts."
},
"judge": {
"image_tag": "b749374fe7bc",
"eval_cmd": "cd /home/workspace/cas_rust_benchmark && rm -rf /tmp/cas_eval /tmp/cas_score.out /tmp/cas_submitted_agent_start && mkdir -p /tmp/cas_eval && if [ -d agent-start ]; then cp -a agent-start /tmp/cas_submitted_agent_start; rm -rf /tmp/cas_submitted_agent_start/target /tmp/cas_submitted_agent_start/vendor-deps /tmp/cas_submitted_agent_start/.git; fi && tar -xzf cas_rust_benchmark.tar.gz -C /tmp/cas_eval && mkdir -p /tmp/cas_eval/run && cp -a /tmp/cas_eval/cas_rust_benchmark/workspace/. /tmp/cas_eval/run/ && cp -a /tmp/cas_eval/cas_rust_benchmark/judge/. /tmp/cas_eval/run/ && if [ -d /tmp/cas_submitted_agent_start ]; then cp -a /tmp/cas_submitted_agent_start/. /tmp/cas_eval/run/agent-start/; fi && cd /tmp/cas_eval/run && cc -c agent-start/.ghostty-stub/ghostty_vt_stub.c -o agent-start/.ghostty-stub/ghostty_vt_stub.o && ar rcs agent-start/.ghostty-stub/libghostty_vt.a agent-start/.ghostty-stub/ghostty_vt_stub.o && chmod +x score.sh verify_task.sh agent-start/score.sh && bash score.sh agent-start > /tmp/cas_score.out 2>&1; cat /tmp/cas_score.out; python3 -c 'import json,pathlib,re\nPASSED=\"PASSED\"; FAILED=\"FAILED\"; ERROR=\"ERROR\"\ntxt=pathlib.Path(\"/tmp/cas_score.out\").read_text(errors=\"replace\") if pathlib.Path(\"/tmp/cas_score.out\").exists() else \"\"\nscore_json=pathlib.Path(\"/tmp/cas_eval/run/score-results.json\")\ndef grab(pattern, default=None):\n m=re.search(pattern, txt, re.M)\n return m.group(1) if m else default\nscore_s=grab(r\"^SCORE=([0-9]+(?:\\.[0-9]+)?)\", \"0\")\nstatus=grab(r\"^SCORE_STATUS=(\\S+)\", \"MISSING\")\nrawp_s=grab(r\"^RAW_PASSED=(\\d+)\", \"0\")\nrawt_s=grab(r\"^RAW_TOTAL=(\\d+)\", \"0\")\ntry:\n score=float(score_s)\nexcept Exception:\n score=0.0\nraw_passed=int(rawp_s or 0)\nraw_total=int(rawt_s or 0)\nscore_data={}\nif score_json.exists():\n try:\n score_data=json.loads(score_json.read_text(errors=\"replace\"))\n except Exception:\n score_data={}\nif score_data:\n score=float(score_data.get(\"total_score\", score))\n status=str(score_data.get(\"score_status\", status))\n raw_passed=int(score_data.get(\"raw_passed\", raw_passed) or 0)\n raw_total=int(score_data.get(\"raw_total\", raw_total) or 0)\npass_rate=(raw_passed/raw_total) if raw_total else (1.0 if score>0 and status==\"OK\" else 0.0)\nok=(status==\"OK\")\nsummary=f\"score={score:.4f}; status={status}; raw_passed={raw_passed}; raw_total={raw_total}; pass_rate={pass_rate:.6f}\"\ndef detail_status(passed,total,crate_status=None):\n if crate_status in {\"ERROR\",\"TIMEOUT\",\"NO_TESTS\"}:\n return ERROR\n return PASSED if total and passed==total else FAILED\ndef pct(passed,total):\n return (100.0*passed/total) if total else 0.0\ndetails=[\n {\n \"name\":\"overall_score\",\n \"status\":PASSED if ok and score>0 else (FAILED if status in {\"OK\",\"FAIL\",\"FAILED\",\"WA\"} else ERROR),\n \"score\":score,\n \"weight\":1.0,\n \"message\":summary,\n },\n {\n \"name\":\"raw_test_pass_rate\",\n \"status\":PASSED if raw_total and raw_passed==raw_total else FAILED,\n \"score\":pct(raw_passed, raw_total),\n \"weight\":1.0,\n \"message\":f\"raw_passed={raw_passed}; raw_total={raw_total}; pass_rate={pass_rate:.6f}\",\n },\n]\nlayer_metrics=[]\nfor layer in score_data.get(\"layers\", []):\n passed=int(layer.get(\"passed\", 0) or 0)\n total=int(layer.get(\"total\", 0) or 0)\n lname=str(layer.get(\"layer\", \"layer\"))\n lstatus=str(layer.get(\"status\", \"UNKNOWN\"))\n lscore=float(layer.get(\"score\", 0.0) or 0.0)\n weight=float(layer.get(\"weight\", 0.0) or 0.0)\n crates=\", \".join(layer.get(\"crates\", []))\n layer_metrics.append({\"layer\": lname, \"passed\": passed, \"total\": total, \"score\": lscore, \"status\": lstatus, \"crates\": layer.get(\"crates\", [])})\n details.append({\n \"name\":f\"layer_{lname}\",\n \"status\":detail_status(passed,total,lstatus),\n \"score\":lscore,\n \"weight\":weight,\n \"message\":f\"status={lstatus}; passed={passed}; total={total}; crates={crates}\",\n })\ncrate_metrics=[]\nfor crate in score_data.get(\"crates\", []):\n cname=str(crate.get(\"crate_name\", crate.get(\"package_name\", \"crate\")))\n passed=int(crate.get(\"passed\", 0) or 0)\n total=int(crate.get(\"total\", 0) or 0)\n cstatus=str(crate.get(\"status\", \"UNKNOWN\"))\n public_passed=int(crate.get(\"public_passed\", 0) or 0)\n public_failed=int(crate.get(\"public_failed\", 0) or 0)\n hidden_passed=int(crate.get(\"hidden_passed\", 0) or 0)\n hidden_failed=int(crate.get(\"hidden_failed\", 0) or 0)\n crate_metrics.append({\n \"crate\": cname, \"status\": cstatus, \"passed\": passed, \"total\": total,\n \"public_passed\": public_passed, \"public_failed\": public_failed,\n \"hidden_passed\": hidden_passed, \"hidden_failed\": hidden_failed,\n })\n details.append({\n \"name\":f\"crate_{cname}\",\n \"status\":detail_status(passed,total,cstatus),\n \"score\":pct(passed,total),\n \"weight\":0.0,\n \"message\":f\"status={cstatus}; passed={passed}; total={total}; public_passed={public_passed}; public_failed={public_failed}; hidden_passed={hidden_passed}; hidden_failed={hidden_failed}\",\n })\nscore_lines=[line for line in txt.splitlines() if line.startswith((\"SCORE=\",\"SCORE_STATUS=\",\"RAW_PASSED=\",\"RAW_TOTAL=\",\"WEIGHTED_PASSED=\",\"WEIGHTED_TOTAL=\"))]\nresult={\n \"valid\": bool(ok),\n \"score\": score,\n \"pass_rate\": pass_rate,\n \"summary\": summary,\n \"metrics\": {\n \"score_status\": status,\n \"raw_passed\": raw_passed,\n \"raw_total\": raw_total,\n \"weighted_passed\": score_data.get(\"weighted_passed\", score),\n \"weighted_total\": score_data.get(\"weighted_total\", 100.0),\n \"total_duration_sec\": score_data.get(\"total_duration_sec\"),\n \"layers\": layer_metrics,\n \"crates\": crate_metrics,\n \"score_lines\": score_lines,\n },\n \"details\": details,\n}\nprint(\">>>>> Start Structured Result\")\nprint(json.dumps(result, indent=2, sort_keys=True))\nprint(\">>>>> End Structured Result\")'",
"eval_timeout": 3600,
"parser": "structured_json",
"score_direction": "maximize",
"selection": "score_first",
"rescale": {
"kind": "linear",
"lower": 0.0,
"upper": 100.0
}
}
}
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