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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport json,numpy as np\ngs=json.load(open(\"/work/pass_16/games.json\"))\nbs=np.load(\"/work/pass_16/boards.npy\")\nfor i,g in enumerate(gs):\n    if g[\"end\"]==\"repetition\" and g[\"result\"]<0:\n        b=bs[i,len(g[\"moves\"])-2]\n        co=1 if g[\"net_color\"]==\"black\" else -1\n        print(\"Repetition loss\",i,\"margin\",g[\"margin\"],\"material\",\n              int(sum(b==co)-sum(b==-co)),\"last moves\",g[\"moves\"][-5:])\nlosses=[(i,g) for i,g in enumerate(gs) if g[\"result\"]<0 and g[\"end\"]==\"two_passes\"]\nprint(\"Ordinary loss margins:\",sorted(g[\"margin\"] for _,g in losses))\nfor i,g in sorted(losses,key=lambda z:z[1][\"margin\"])[:3]:\n    print(\"\\nLOSS\",i,g[\"net_color\"],g[\"margin\"],\n          \"captures/lost\",g[\"stones_captured\"],g[\"stones_lost\"])\n    for t in (19,39):\n        if t<len(g[\"moves\"]):\n            print(\"After\",t+1,[\"\".join({1:\"X\",-1:\"O\",0:\".\"}[int(x)] for x in row)\n                              for row in bs[i,t].reshape(9,9)])\n    print(\"Opening\",[m[\"move\"] for m in g[\"moves\"][:24]])\n```\n"}}
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