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{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"```python\nimport json, numpy as np\nsource=open(\"/work/policy_design_v18.py\").read()\npatch=r'''\n    # Four-four openings balance central influence with access to a\n    # corner, without committing to direct contact at the centre.\n    W[0][:,489]=0\n    B[0][489]=1\n    for p in range(81):\n        W[0][3*p,489]=-1\n        W[0][3*p+1,489]=-1\n    for k in range(1,6):\n        W[k][489,489]=1\n    for p in [30,32,48,50]:\n        OW[489,p]+=cfg.get(\"opening_four_four\",6.0)\n'''\nsource=source.replace('    OW *= cfg[\"temperature_scale\"]',\n                      patch+'\\n    OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v21.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(opening_four_four=6.0,temperature_scale=2.5)\nns={}\nexec(compile(source,\"/work/policy_design.py\",\"exec\"),ns)\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v21.npz\",**tensors)\nprint(\"Saved v21: symmetric four-four opening choices.\")\n```"}}
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