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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport numpy as np, json\ngames=json.load(open(\"/work/pass_1/games.json\"))\nboards=np.load(\"/work/pass_1/boards.npy\")\ndef show(b):\n    for row in np.asarray(b).reshape(9,9):\n        print(\"\".join({1:\"X\",-1:\"O\",0:\".\"}[int(v)] for v in row))\nfor gi in [65,66,79,85]:\n    g=games[gi]\n    print(\"\\nGAME\",gi, g[\"net_color\"],g[\"margin\"],g[\"end\"])\n    if g[\"end\"]==\"repetition\":\n        plies=range(max(0,len(g[\"moves\"])-7),len(g[\"moves\"]))\n    else:\n        our=1 if g[\"net_color\"]==\"black\" else -1\n        plies=[t for t in range(1,len(g[\"moves\"]))\n               if g[\"moves\"][t][\"by\"]!=\"net\"\n               and np.sum((boards[gi,t-1]==our)&(boards[gi,t]!=our))>=2][:3]\n    for t in plies:\n        print(\"PLY\",t,g[\"moves\"][t])\n        if g[\"end\"]!=\"repetition\":\n            print(\"Two plies before:\")\n            show(boards[gi,max(0,t-2)])\n            print(\"Network preceding move:\",g[\"moves\"][t-1])\n        show(boards[gi,t])\n```\n"}}
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