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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport numpy as np\nV1=dict(np.load(\"/work/policy_v1.npz\"))\nV3=dict(np.load(\"/work/policy_v3.npz\"))\nA={n:V1[n].copy() for n in NAMES}\nfor k in (2,3,4):\n    A[f\"L{k}.W\"]=V3[f\"L{k}.W\"].copy()\n    A[f\"L{k}.b\"]=V3[f\"L{k}.b\"].copy()\n\n# Restore the original spacious, contact-aware positional policy.\nA[\"L2.W\"][:,405:486]=V1[\"L4.W\"][:,405:486]\nA[\"L2.b\"][405:486]=V1[\"L4.b\"][405:486]\nA[\"L5.W\"][:,81:162]=V3[\"L5.W\"][:,81:162]\nA[\"L5.b\"][81:162]=V3[\"L5.b\"][81:162]\n\ndef u(ch,p): return 81*ch+p\ndef neighbors(p):\n    r,c=divmod(p,9)\n    return [(r+dr)*9+c+dc for dr,dc in [(-1,0),(1,0),(0,-1),(0,1)]\n            if 0<=r+dr<9 and 0<=c+dc<9]\n# Edge connection traps: consuming a group's penultimate liberty without\n# making any new liberty can initiate a losing capture/repetition cycle.\nedge_points=[r*9+c for r in range(9) for c in range(9)\n             if ((r in (0,8) and c in (1,2,3,5,6,7))\n                 or (c in (0,8) and r in (1,2,3,5,6,7)))]\nslots=[487,488]+list(range(490,512))\nfor j,p in zip(slots,edge_points):\n    A[\"L5.W\"][:,j]=0\n    A[\"L5.b\"][j]=-4*len(neighbors(p))\n    for q in neighbors(p):\n        A[\"L5.W\"][u(0,q),j]+=5\n        A[\"L5.W\"][u(1,q),j]+=4\n        A[\"L5.W\"][u(4,q),j]-=1\n        A[\"L5.W\"][u(2,q),j]-=4\n    A[\"L6.W\"][:,j]=0\n    A[\"L6.W\"][j,j]=1\n    A[\"L6.b\"][j]=0\n    A[\"out.W\"][j,:]=0\n    A[\"out.W\"][j,p]=-24\n\nfor p in range(81):\n    A[\"out.W\"][u(5,p),p]=12\n\nfor name in NAMES: save(name,A[name])\nnp.savez(\"/work/policy_v4.npz\",**A)\nprint(\"Saved original shape policy with separate three-liberty safety,\",\n      \"edge self-atari protection, and priority for saving threatened stones.\")\n```\n"}}
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