| """Evaluator for circle packing (n=26) — maximize sum of radii in unit square.""" |
| import importlib.util, subprocess, sys, json, time, traceback, os |
|
|
| TARGET = 2.635977 |
|
|
| def evaluate(program_path): |
| script = f""" |
| import json, sys, os, time |
| import numpy as np |
| sys.path.insert(0, os.path.dirname(r'{program_path}')) |
| module_name = os.path.splitext(os.path.basename(r'{program_path}'))[0] |
| start = time.time() |
| try: |
| program = __import__(module_name) |
| centers, radii, sum_radii = program.run() |
| except Exception as e: |
| print(json.dumps({{"error": str(e)}})); sys.exit(0) |
| eval_time = time.time() - start |
| centers = np.array(centers, dtype=float); radii = np.array(radii, dtype=float) |
| if np.isnan(centers).any() or np.isnan(radii).any(): |
| print(json.dumps({{"combined_score": 0.0, "error": "NaN"}})); sys.exit(0) |
| if centers.shape != (26, 2) or radii.shape != (26,): |
| print(json.dumps({{"combined_score": 0.0, "error": f"bad shape {{centers.shape}} {{radii.shape}}"}})); sys.exit(0) |
| if np.any(radii < 0): |
| print(json.dumps({{"combined_score": 0.0, "error": "negative radii"}})); sys.exit(0) |
| for i in range(26): |
| x, y, r = centers[i][0], centers[i][1], radii[i] |
| if x-r < -1e-6 or y-r < -1e-6 or x+r > 1+1e-6 or y+r > 1+1e-6: |
| print(json.dumps({{"combined_score": 0.0, "error": f"circle {{i}} outside"}})); sys.exit(0) |
| for i in range(26): |
| for j in range(i+1, 26): |
| d = np.sqrt(np.sum((centers[i]-centers[j])**2)) |
| if d < radii[i]+radii[j]-1e-6: |
| print(json.dumps({{"combined_score": 0.0, "error": f"overlap {{i}} {{j}}"}})); sys.exit(0) |
| s = float(np.sum(radii)) |
| print(json.dumps({{"combined_score": s/{TARGET}, "sum_radii": s, "eval_time": eval_time}})) |
| """ |
| try: |
| r = subprocess.run([sys.executable, "-c", script], capture_output=True, text=True, timeout=600) |
| for line in reversed(r.stdout.strip().splitlines()): |
| if line.strip().startswith("{"): |
| return json.loads(line.strip()) |
| return {{"combined_score": 0.0, "error": r.stderr[-500:]}} |
| except Exception as e: |
| return {{"combined_score": 0.0, "error": str(e)}} |
|
|
