Download code/src/formal_preflight.py from QingchuanMa/RoTA-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/QingchuanMa/RoTA-Bench/resolve/main/code/src/formal_preflight.py
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hf download hf://datasets/QingchuanMa/RoTA-Bench/code/src/formal_preflight.py
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curl -L -o formal_preflight.py https://huggingface.co/datasets/QingchuanMa/RoTA-Bench/resolve/main/code/src/formal_preflight.py
4.15 kB
| from __future__ import annotations | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| from typing import Any | |
| def sha256_file(path: Path) -> str: | |
| digest = hashlib.sha256() | |
| with path.open("rb") as handle: | |
| for chunk in iter(lambda: handle.read(1024 * 1024), b""): | |
| digest.update(chunk) | |
| return digest.hexdigest() | |
| def read_json(path: Path) -> dict[str, Any]: | |
| return json.loads(path.read_text(encoding="utf-8")) | |
| def validate_formal_run( | |
| root: Path, | |
| *, | |
| formal_config_path: Path, | |
| tasks_path: Path, | |
| split_path: Path, | |
| prompt_protocol: str, | |
| metric_feedback_mode: str, | |
| hide_iou_feedback: bool, | |
| stagnation_patience: int, | |
| max_tokens: int, | |
| timeout_seconds: int, | |
| history_window: int, | |
| include_history_cot: bool, | |
| legacy_stop_as_success: bool, | |
| api_temperature: float, | |
| api_seed: int, | |
| display_size: tuple[int, int], | |
| ) -> dict[str, Any]: | |
| config = read_json(formal_config_path) | |
| protocol = config["protocol"] | |
| run = config["run"] | |
| expected = { | |
| "prompt_protocol": protocol["prompt_protocol"], | |
| "metric_feedback_mode": protocol["metric_feedback_mode"], | |
| "hide_iou_feedback": bool(protocol["hide_iou_feedback"]), | |
| "stagnation_patience": int(run["stagnation_patience"]), | |
| "max_tokens": int(run["max_tokens"]), | |
| "timeout_seconds": int(run["timeout_seconds"]), | |
| "history_window": int(protocol["history_window"]), | |
| "include_history_cot": bool(protocol["include_history_cot"]), | |
| "api_temperature": float(run["temperature"]), | |
| "api_seed": int(run["api_seed"]), | |
| "display_size": ( | |
| int(config["renderer"]["api_display_width"]), | |
| int(config["renderer"]["api_display_height"]), | |
| ), | |
| } | |
| actual = { | |
| "prompt_protocol": prompt_protocol, | |
| "metric_feedback_mode": metric_feedback_mode, | |
| "hide_iou_feedback": hide_iou_feedback, | |
| "stagnation_patience": stagnation_patience, | |
| "max_tokens": max_tokens, | |
| "timeout_seconds": timeout_seconds, | |
| "history_window": history_window, | |
| "include_history_cot": include_history_cot, | |
| "api_temperature": float(api_temperature), | |
| "api_seed": int(api_seed), | |
| "display_size": tuple(int(value) for value in display_size), | |
| } | |
| mismatches = {key: {"expected": expected[key], "actual": actual[key]} for key in expected if expected[key] != actual[key]} | |
| if mismatches or legacy_stop_as_success: | |
| raise RuntimeError(f"Formal protocol mismatch: {mismatches or {'legacy_stop_as_success': True}}") | |
| canonical_expected = str(config["dataset"]["canonical_tasks_sha256"]) | |
| if sha256_file(tasks_path) != canonical_expected: | |
| raise RuntimeError("Canonical tasks SHA-256 mismatch") | |
| split = read_json(split_path) | |
| split_ids = [str(value) for value in split.get("sample_ids", [])] | |
| if len(split_ids) != len(set(split_ids)) or not split_ids: | |
| raise RuntimeError("Split must contain unique task IDs") | |
| canonical_ids = { | |
| str(json.loads(line)["sample_id"]) | |
| for line in tasks_path.read_text(encoding="utf-8").splitlines() | |
| if line.strip() | |
| } | |
| if not set(split_ids).issubset(canonical_ids): | |
| raise RuntimeError("Split contains IDs outside the canonical tasks file") | |
| expected_split_hash = str(config["dataset"]["test_ids_sha256"]) | |
| if sha256_file(split_path) != expected_split_hash: | |
| raise RuntimeError("Formal test split SHA-256 mismatch") | |
| if str(split.get("split_name", "")) != "test" or len(split_ids) != int(config["dataset"]["test_task_count"]): | |
| raise RuntimeError("Formal run must use the frozen 100-task test split") | |
| return { | |
| "status": "passed", | |
| "formal_config": str(formal_config_path.relative_to(root)).replace("\\", "/"), | |
| "split_file": str(split_path.relative_to(root)).replace("\\", "/"), | |
| "split_name": str(split.get("split_name", "")), | |
| "task_count": len(split_ids), | |
| "canonical_tasks_sha256": canonical_expected, | |
| "split_sha256": sha256_file(split_path), | |
| "protocol": actual, | |
| } | |