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{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"```python\nimport numpy as np,json\nnames=[f\"L{k}.{s}\" for k in range(1,7) for s in (\"W\",\"b\")]+[\"out.W\",\"out.b\"]\nnp.savez_compressed(\"/work/version_11.npz\",**{n:load(n) for n in names})\n\nrevision=r'''\n_base={}\nexec(open(\"/work/design_v11.py\").read(),_base)\ndef construct(parameters=None):\n    changes=dict(tactical_soft_cap=6.0, tactical_cap_strength=0.75)\n    if parameters:\n        changes.update(parameters)\n    t,p=_base[\"construct\"](changes)\n    # Several adjacent stones may belong to the same threatened group.\n    # Compress excessive tactical counts in the main fighting region.\n    for index,(r,c) in enumerate((r,c) for r in range(2,7) for c in range(2,7)):\n        i=9*r+c\n        hidden=487+index\n        source=81+i\n        t[\"L6.W\"][:,hidden]=t[\"L6.W\"][:,source]\n        t[\"L6.b\"][hidden]=t[\"L6.b\"][source]-p[\"tactical_soft_cap\"]\n        t[\"out.W\"][hidden,i]=-p[\"scale\"]*p[\"tactical_cap_strength\"]\n    return t,p\n'''\nopen(\"/work/design_v12.py\",\"w\").write(revision)\nns={}\nexec(revision,ns)\nt,p=ns[\"construct\"]()\nfor n,a in t.items():save(n,a)\njson.dump(p,open(\"/work/parameters.json\",\"w\"),indent=2)\nprint(\"Saved revision 12: diminishing returns for repeated tactical\")\nprint(\"counts around the same central group.\")\n```\n"}}
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