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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport json, numpy as np\nfrom collections import Counter\n\nutility=r'''\nimport numpy as np\ndef neighbors(i):\n    r,c=divmod(int(i),9)\n    return [rr*9+cc for rr,cc in ((r-1,c),(r+1,c),(r,c-1),(r,c+1))\n            if 0<=rr<9 and 0<=cc<9]\ndef groups(board):\n    unseen=set(map(int,np.flatnonzero(board)))\n    result=[]\n    while unseen:\n        seed=next(iter(unseen))\n        colour=int(board[seed]); stones={seed}; todo=[seed]; liberties=set()\n        unseen.remove(seed)\n        while todo:\n            for j in neighbors(todo.pop()):\n                if board[j]==0:\n                    liberties.add(j)\n                elif board[j]==colour and j in unseen:\n                    unseen.remove(j); stones.add(j); todo.append(j)\n        result.append((colour,stones,liberties))\n    return result\ndef board_strings(board):\n    return [\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(x)] for x in row)\n            for row in np.asarray(board).reshape(9,9)]\n'''\nopen(\"/work/rules_analysis.py\",\"w\").write(utility)\nexec(utility)\n\nfor pass_number in (2,3):\n    games=json.load(open(f\"/work/pass_{pass_number}/games.json\"))\n    boards=np.load(f\"/work/pass_{pass_number}/boards.npy\")\n    stats=Counter(); events=[]\n    for gi,g in enumerate(games):\n        if g[\"opponent\"]!=\"strong\":\n            continue\n        colour=1 if g[\"net_color\"]==\"black\" else -1\n        for m in g[\"moves\"]:\n            ply=m[\"ply\"]\n            if m[\"by\"]!=\"net\" or m[\"move\"]==81:\n                continue\n            before=boards[gi,ply-1] if ply else np.zeros(81,dtype=np.int8)\n            after=boards[gi,ply]\n            gs=groups(before)\n            stats[\"placements\"]+=1\n            for co,stones,libs in groups(after):\n                if co==colour and m[\"move\"] in stones and len(libs)==1:\n                    stats[\"self_atari\"]+=1\n                    stats[\"self_atari_stones\"]+=len(stones)\n            if m[\"top5\"][0][1]>.95:\n                top=m[\"top5\"][0][0]\n                urgent=[(co,len(s),len(l)) for co,s,l in gs\n                        if len(l)<=2 and top in l]\n                stats[\"confident_top_move\"]+=1\n                if not any(nlib==1 for co,size,nlib in urgent):\n                    stats[\"confident_without_true_atari\"]+=1\n            if ply+1<len(g[\"moves\"]):\n                lost=int(np.sum((after==colour)&(boards[gi,ply+1]!=colour)))\n                if lost>=3:\n                    threatened=[(len(s),sorted(l)) for co,s,l in gs\n                                if co==colour and len(l)<=2]\n                    events.append((lost,gi,ply,m,threatened,before.copy()))\n    print(\"PASS\",pass_number,dict(stats))\n    if pass_number==3:\n        events.sort(key=lambda e:e[0],reverse=True)\n        for lost,gi,ply,m,threatened,board in events[:6]:\n            print(\"\\nLOSS EVENT\",lost,\"game\",gi,\"net\",games[gi][\"net_color\"],\n                  \"ply\",ply,\"result\",games[gi][\"result\"])\n            print(\"Board:\",json.dumps(board_strings(board)))\n            print(\"Net move:\",m)\n            print(\"Then opponent:\",games[gi][\"moves\"][ply+1])\n            print(\"Own groups with <=2 liberties:\",threatened)\n```\n"}}
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