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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_v23.py\").read()\nopen(\"/work/policy_design.py\",\"w\").write(source)\nns={}\nexec(compile(source,\"/work/policy_design.py\",\"exec\"),ns)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg[\"framework_bonus\"]=2.0\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\njson.dump(cfg,open(\"/work/candidate_A_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/candidate_A.npz\",**tensors)\nprint(\"Restored candidate A for independent validation.\")\nprint(\"Parameters:\",sum(a.size for a in tensors.values()))\nprint(\"Finite tensors:\",all(np.isfinite(a).all() for a in tensors.values()))\n```"}}
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