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{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"```python\nexec(open(\"/work/analysis_helpers.py\").read())\ngames=json.load(open(\"/work/pass_2/games.json\"))\nboards=np.load(\"/work/pass_2/boards.npy\")\nstats={}\nexamples=[]\nfor i,g in enumerate(games):\n    col=1 if g[\"net_color\"]==\"black\" else -1\n    for t,m in enumerate(g[\"moves\"]):\n        if m[\"by\"]!=\"net\": continue\n        b=np.zeros(81,dtype=int) if t==0 else boards[i,t-1]\n        gs=groups(b)\n        endangered=[(len(st),next(iter(li))) for c,st,li in gs if c==col and len(li)==1]\n        caps=[(len(st),next(iter(li))) for c,st,li in gs if c==-col and len(li)==1]\n        if endangered and g[\"opponent\"]==\"strong\":\n            moved=m[\"move\"]; biggest=max(endangered)\n            if biggest[0]>=4 and moved!=biggest[1]:\n                after=groups(boards[i,t])\n                still=[(len(st),list(li)) for c,st,li in after if c==col and len(li)==1 and biggest[1] in li]\n                if still: examples.append((biggest[0],i,t,biggest,m[\"move\"],m[\"top5\"]))\nprint(\"Missed large ataris\",len(examples))\nfor size,i,t,big,move,top in sorted(examples,reverse=True)[:10]:\n    g=games[i]\n    print(\"\\nGame\",i,g[\"net_color\"],g[\"result\"],\"ply\",t,\"atari\",big,\"move\",move,\"top\",top)\n    print(show(boards[i,t-1]))\n    print(\"groups\",[(c,len(st),sorted(li)) for c,st,li in groups(boards[i,t-1]) if len(li)<=2])\nprint(\"\\nLoss endings:\")\nfrom collections import Counter\nprint(Counter((g[\"opponent\"],g[\"end\"]) for g in games if g[\"result\"]<0))\n```\n"}}
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