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{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"```python\nimport os, json, numpy as np\nos.system(\"cp /work/policy_design.py /work/policy_design_v2.py\")\nsource = r'''\nimport numpy as np\n\nDEFAULTS = dict(\n    capture=24.0, rescue=8.0, attack=1.15,\n    self_atari=7.5, eye=16.0, connection=0.9, contact=1.4,\n    own_territory=1.6, territory_threshold=3.0,\n    pass_base=-9.0, pass_per_stone=0.10, pass_white=0.35,\n    own_adj=0.25, own_diag=0.65, own_two=0.40, own_knight=0.12,\n    enemy_adj=0.75, enemy_diag=0.25, enemy_two=0.12,\n    temperature_scale=1.8,\n)\ndef build(save, overrides=None):\n    c=dict(DEFAULTS)\n    if overrides: c.update(overrides)\n    W=[np.zeros((243 if k==0 else 512,512),np.float32) for k in range(6)]\n    B=[np.zeros(512,np.float32) for k in range(6)]\n    OW=np.zeros((512,82),np.float32); OB=np.zeros(82,np.float32)\n    def u(ch,p): return 81*ch+p\n    adj=[]; diag=[]; rings=[]\n    for p in range(81):\n        r,s=divmod(p,9)\n        adj.append([a*9+b for a,b in [(r-1,s),(r+1,s),(r,s-1),(r,s+1)]\n                    if 0<=a<9 and 0<=b<9])\n        diag.append([a*9+b for a,b in [(r-1,s-1),(r-1,s+1),(r+1,s-1),(r+1,s+1)]\n                     if 0<=a<9 and 0<=b<9])\n        rings.append([(q,abs(r-q//9),abs(s-q%9)) for q in range(81) if q!=p])\n    for p in range(81):\n        W[0][3*p,u(0,p)]=1; W[0][3*p+1,u(1,p)]=1\n        for colour in [0,1]:\n            j=u(2+colour,p)\n            B[0][j]=len(adj[p])-4\n            W[0][3*p+colour,j]=4\n            for q in adj[p]:\n                W[0][3*q,j]-=1; W[0][3*q+1,j]-=1\n        # Contact and connection features, directly from the board.\n        B[0][u(4,p)]=-1; B[0][u(5,p)]=-1\n        for q in adj[p]:\n            W[0][3*q+1,u(4,p)]+=1\n            W[0][3*q,u(4,p)]-=0.75\n            W[0][3*q,u(5,p)]+=1\n        for q in diag[p]:\n            W[0][3*q,u(4,p)]-=0.20\n            W[0][3*q,u(5,p)]-=0.65\n        W[0][3*p,486]=1; W[0][3*p+1,487]=1\n    W[0][2,488]=1\n    for k in range(1,6):\n        for g in [486,487,488]: W[k][g,g]=1\n    def board(k):\n        for col in [0,1]:\n            for p in range(81): W[k][u(col,p),u(col,p)]=1\n\n    board(1)\n    line=[-1.5,0.25,1.2,0.9,1.0]\n    for p in range(81):\n        for colour in [0,1]:\n            j=u(2+colour,p)\n            B[1][j]=-21; W[1][u(colour,p),j]=20\n            for q in [p]+adj[p]: W[1][u(2+colour,q),j]+=1\n        j=u(4,p); B[1][j]=-c[\"territory_threshold\"]\n        for q,dr,dc in rings[p]:\n            if dr+dc==1: a=1.0\n            elif dr==dc==1: a=0.65\n            elif dr+dc==2: a=0.45\n            elif sorted([dr,dc])==[1,2]: a=0.20\n            else: continue\n            W[1][u(0,q),j]+=a; W[1][u(1,q),j]-=1.2*a\n        j=u(5,p); r,s=divmod(p,9)\n        B[1][j]=100+line[min(r,8-r)]+line[min(s,8-s)]\n        W[1][u(4,p),j]=-c[\"contact\"]\n        W[1][u(5,p),j]=c[\"connection\"]\n        for q,dr,dc in rings[p]:\n            if dr+dc==1: a,b=c[\"own_adj\"],c[\"enemy_adj\"]\n            elif dr==dc==1: a,b=c[\"own_diag\"],c[\"enemy_diag\"]\n            elif dr+dc==2: a,b=c[\"own_two\"],c[\"enemy_two\"]\n            elif sorted([dr,dc])==[1,2]: a,b=c[\"own_knight\"],0\n            else: continue\n            W[1][u(0,q),j]+=a; W[1][u(1,q),j]+=b\n\n    # Propagate liberty evidence for three more layers.\n    # Conservative analytic upper bounds make every colour gate exact.\n    for k,gate in [(2,100),(3,500)]:\n        board(k)\n        for p in range(81):\n            for colour in [0,1]:\n                j=u(2+colour,p)\n                B[k][j]=-gate; W[k][u(colour,p),j]=gate\n                for q in [p]+adj[p]: W[k][u(2+colour,q),j]+=1\n            if k==2:\n                j=u(4,p); B[k][j]=2-len(adj[p])\n                for q in adj[p]:\n                    W[k][u(0,q),j]+=1\n                    W[k][u(1,q),j]+=1\n                    W[k][u(2,q),j]-=1\n                W[k][u(5,p),u(5,p)]=1\n                W[k][u(4,p),u(5,p)]=-c[\"own_territory\"]\n            else:\n                W[k][u(4,p),u(4,p)]=1\n                W[k][u(5,p),u(5,p)]=1\n\n    # Friendly danger now reaches four links; enemy safety reaches four.\n    board(4)\n    for p in range(81):\n        j=u(2,p); W[4][u(0,p),j]=1\n        for q in [p]+adj[p]: W[4][u(2,q),j]-=1\n        j=u(3,p); B[4][j]=-2500; W[4][u(1,p),j]=2500\n        for q in [p]+adj[p]: W[4][u(3,q),j]+=1\n        W[4][u(4,p),u(4,p)]=1\n        W[4][u(5,p),u(5,p)]=1\n\n    for p in range(81):\n        W[5][u(5,p),u(0,p)]=1\n        j=u(1,p)\n        W[5][u(4,p),j]=-4\n        for q in adj[p]: W[5][u(2,q),j]+=1\n        j=u(2,p); W[5][u(1,p),j]=1\n        for q in [p]+adj[p]: W[5][u(3,q),j]-=1\n        W[5][u(4,p),u(3,p)]=1\n        j=u(4,p); B[5][j]=1-len(adj[p])\n        for q in adj[p]: W[5][u(0,q),j]+=1\n        j=u(5,p); W[5][u(1,p),j]=3\n        W[5][u(3,p),j]=-1\n        for q in adj[p]: W[5][u(3,q),j]-=0.5\n\n        OW[u(0,p),p]=1\n        OW[u(1,p),p]=c[\"rescue\"]\n        OW[u(3,p),p]=-c[\"self_atari\"]\n        OW[u(4,p),p]=-c[\"eye\"]\n        for q in adj[p]:\n            OW[u(2,q),p]+=c[\"capture\"]\n            OW[u(5,q),p]+=c[\"attack\"]\n        OB[p]=-100\n\n    OB[81]=c[\"pass_base\"]\n    OW[486,81]=OW[487,81]=c[\"pass_per_stone\"]\n    OW[488,81]=c[\"pass_white\"]\n    OW*=c[\"temperature_scale\"]; OB*=c[\"temperature_scale\"]\n    ts={}\n    for k in range(6):\n        ts[\"L%d.W\"%(k+1)]=W[k]; ts[\"L%d.b\"%(k+1)]=B[k]\n    ts[\"out.W\"]=OW; ts[\"out.b\"]=OB\n    for n,a in ts.items():\n        assert np.isfinite(a).all()\n        save(n,a)\n    return c,ts\n'''\nopen(\"/work/policy_design_v3.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\nns={}\nexec(compile(source,\"/work/policy_design.py\",\"exec\"),ns)\ncfg,tensors=ns[\"build\"](save)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v3.npz\",**tensors)\nprint(\"Saved v3: longer-range liberty propagation and conservative eye preservation.\")\n```"}}
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