cb6c8d4dc8
- Share duel search contexts and transpositions across candidate moves. - Add aspiration windows, principal variation ordering, and body caches. - Model simultaneous multiplayer responses with a compact beam rollout. - Adapt search depth and response breadth to the remaining deadline. - Add a deterministic arena benchmark with optional JSON reporting. - Expose search metrics, document benchmarking, and bump Prism to 1.2.0.
118 lines
4.2 KiB
Python
Executable File
118 lines
4.2 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Compare snake decisions and latency on deterministic synthetic positions.
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For outcome/win-rate tournaments use the local Battlesnake CLI. This harness is
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fast enough for CI and detects move disagreements, crashes, and latency changes.
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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from pathlib import Path
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from statistics import mean, median
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from time import perf_counter
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from scripts.benchmark_snakes_from_db import load_states, percentile
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from server.GameBoard import GameBoard
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from snakes import SnakeBuilder
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from tests.bench_best_battle_snake import build_game_state
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def synthetic_states(count: int) -> list[tuple[dict, dict]]:
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states: list[tuple[dict, dict]] = []
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for index in range(count):
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payload = build_game_state()
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payload["game"]["id"] = f"arena-{index}"
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payload["turn"] = 20 + index
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# Rotate food deterministically to exercise routing without creating
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# invalid bodies or relying on private/real network values.
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payload["board"]["food"] = [
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{"x": 1 + index % 3, "y": 9},
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{"x": 9, "y": 1 + (index // 3) % 3},
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]
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states.append((payload["board"], {
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"game_id": payload["game"]["id"],
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"source": "custom", "map": "standard",
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"ruleset": payload["game"]["ruleset"], "turn": payload["turn"],
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"you": payload["you"],
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}))
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return states
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def evaluate(name: str, states: list[tuple[dict, dict]]) -> tuple[list[str], dict]:
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moves: list[str] = []
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durations: list[float] = []
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depths: list[int] = []
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for index, (board_data, metadata) in enumerate(states):
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snake = SnakeBuilder.build(name)
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game_id = f"arena-{name}-{index}-{metadata['game_id']}"
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board = GameBoard(
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game_id=game_id, width=board_data["width"], height=board_data["height"],
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ruleset=metadata["ruleset"], source=metadata["source"],
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map=metadata["map"], snake_class=snake,
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)
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board.read_game_data({
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"game": {
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"id": game_id, "ruleset": metadata["ruleset"],
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"source": metadata["source"], "map": metadata["map"], "timeout": 500,
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},
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"turn": metadata["turn"], "board": board_data, "you": metadata["you"],
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})
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started = perf_counter()
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moves.append(snake.choose_move(board))
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durations.append((perf_counter() - started) * 1000.0)
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history = snake.get_history() if hasattr(snake, "get_history") else []
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if history:
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depths.append(int(history[-1].get("minimax_depth_reached", 0)))
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return moves, {
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"snake": name, "positions": len(states),
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"mean_ms": mean(durations), "median_ms": median(durations),
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"p95_ms": percentile(durations, 0.95), "max_ms": max(durations),
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"mean_minimax_depth": mean(depths) if depths else 0.0,
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}
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--snake", action="append", default=[])
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parser.add_argument("--database")
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parser.add_argument("--positions", type=int, default=100)
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parser.add_argument("--stride", type=int, default=997)
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parser.add_argument("--json-output")
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args = parser.parse_args()
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states = (
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load_states(args.database, max(1, args.positions), max(1, args.stride))
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if args.database else synthetic_states(max(1, args.positions))
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)
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if not states:
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raise SystemExit("No benchmark positions found")
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names = args.snake or ["ApexBattleSnake", "PrismBattleSnake_GPT_5_6_Sol"]
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move_sets: dict[str, list[str]] = {}
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reports: list[dict] = []
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for name in names:
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moves, report = evaluate(name, states)
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move_sets[name] = moves
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reports.append(report)
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print(
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f"{name}: mean={report['mean_ms']:.3f} ms, "
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f"p95={report['p95_ms']:.3f} ms, max={report['max_ms']:.3f} ms, "
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f"depth={report['mean_minimax_depth']:.2f}"
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)
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baseline = names[0]
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disagreements = {
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name: sum(a != b for a, b in zip(move_sets[baseline], move_sets[name]))
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for name in names[1:]
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}
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if disagreements:
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print(f"Move disagreements versus {baseline}: {disagreements}")
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payload = {"reports": reports, "baseline": baseline, "disagreements": disagreements}
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if args.json_output:
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Path(args.json_output).write_text(json.dumps(payload, indent=2) + "\n")
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if __name__ == "__main__":
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main()
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