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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport numpy as np\nw = load(\"L5.W\")\nw[:486, :81] = 0\n\ndef points(p, deltas):\n    r,c = divmod(p,9)\n    return [(r+a)*9+c+b for a,b in deltas\n            if 0 <= r+a < 9 and 0 <= c+b < 9]\n\npatterns = [\n    ([(-1,0),(1,0),(0,-1),(0,1)], .25, .65),\n    ([(a,b) for a in (-1,1) for b in (-1,1)], .60, .25),\n    ([(-2,0),(2,0),(0,-2),(0,2)], .85, .10),\n    ([(a,b) for a in (-2,-1,1,2) for b in (-2,-1,1,2)\n      if abs(a)+abs(b)==3], .45, .04),\n    ([(-3,0),(3,0),(0,-3),(0,3)], .20, 0),\n]\nfor p in range(81):\n    w[4*81+p,p] = -2.0\n    w[5*81+p,p] = -.8\n    for ds, friendly, enemy in patterns:\n        for q in points(p,ds):\n            w[q,p] += friendly\n            w[81+q,p] += enemy\nsave(\"L5.W\",w)\nfor name in (\"out.W\",\"out.b\"):\n    save(name,load(name)/np.float32(1.5))\nprint(\"Expansion-oriented shape: stronger crowding avoidance and wider support.\")\n```\n"}}
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