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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_3/games.json\"))\nprint(\"Repetition outcomes:\",\n      [(g[\"net_color\"],g[\"result\"],g[\"margin\"],\n        g[\"moves\"][-1][\"by\"],g[\"moves\"][-1][\"move\"])\n       for g in gs if g[\"end\"]==\"repetition\"])\nfor g in sorted([g for g in gs if g[\"result\"]<0],\n                key=lambda g:g[\"margin\"])[:3]:\n    print(\"Loss\",g[\"net_color\"],g[\"margin\"],\n          \"captures/losses\",g[\"stones_captured\"],g[\"stones_lost\"],\n          \"opening\",[m[\"move\"] for m in g[\"moves\"][:20]])\n\n# Count a captured adjacent point as one new liberty, rather than two.\nw=load(\"L5.W\")\nfor p in range(81):\n    r,c=divmod(p,9)\n    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:\n            q=rr*9+cc\n            w[3*81+q,3*81+p]=-1\nsave(\"L5.W\",w)\nprint(\"Capture-aware liberty penalty corrected.\")\n```\n"}}
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