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{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"```python\nimport json, numpy as np\nsource=r'''\nimport numpy as np\nDEFAULTS=dict(\n    capture=6.45,rescue=6.0,attack=2.0,self_atari=7.5,\n    surrounded_penalty=17.0,connection=0.9,contact=1.4,\n    own_territory=2.5,enemy_territory=1.0,territory_threshold=1.5,\n    pass_base=-9.0,pass_per_stone=0.10,pass_white=0.35,\n    own_adj=0.20,own_diag=0.50,own_two=0.70,own_knight=0.30,\n    enemy_adj=0.70,enemy_diag=0.40,enemy_two=0.25,\n    repeat_risk=18.0,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 col in [0,1]:\n            j=u(2+col,p); B[0][j]=len(adj[p])-4\n            W[0][3*p+col,j]=4\n            for q in adj[p]:\n                W[0][3*q,j]-=1; W[0][3*q+1,j]-=1\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\n    line=[-1.5,0.25,1.2,0.9,1.0]\n    for p in range(81):\n        for col in [0,1]:\n            W[1][u(col,p),u(col,p)]=1\n            j=u(2+col,p)\n            B[1][j]=-22; W[1][u(col,p),j]=20\n            W[1][u(2+col,p),j]=2\n            for q in adj[p]: W[1][u(2+col,q),j]+=1\n        # Excess direct liberties, used to correct the doubled centre.\n        W[1][u(2,p),u(4,p)]=1\n        W[1][u(0,p),u(4,p)]=-1\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    # Layer 3: packed colour, two safety fields, extension liberties,\n    # exact singleton-atari detector, and accumulated shape score.\n    for p in range(81):\n        B[2][u(0,p)]=0.5\n        W[2][u(0,p),u(0,p)]=0.5\n        W[2][u(1,p),u(0,p)]=-0.5\n        for col in [0,1]:\n            j=u(1+col,p); B[2][j]=-100\n            W[2][u(col,p),j]=100\n            for q in [p]+adj[p]: W[2][u(2+col,q),j]+=1\n        j=u(3,p); B[2][j]=len(adj[p])\n        for q in adj[p]:\n            W[2][u(0,q),j]-=1; W[2][u(1,q),j]-=1\n            W[2][u(2,q),j]+=1; W[2][u(4,q),j]-=1\n        j=u(4,p); B[2][j]=-len(adj[p])\n        W[2][u(1,p),j]=2\n        for q in adj[p]:\n            W[2][u(0,q),j]+=1; W[2][u(1,q),j]-=1\n        W[2][u(5,p),u(5,p)]=1\n\n    # Layer 4 adds another full graph-propagation step.\n    for p in range(81):\n        W[3][u(0,p),u(0,p)]=1\n        for col in [0,1]:\n            j=u(1+col,p)\n            if col==0:\n                B[3][j]=-1000\n                W[3][u(0,p),j]=1000\n            else:\n                W[3][u(0,p),j]=-1000\n            for q in [p]+adj[p]: W[3][u(1+col,q),j]+=1\n        j=u(3,p); B[3][j]=2\n        W[3][u(3,p),j]=-1\n        j=u(4,p)\n        for q in adj[p]:\n            W[3][u(4,q),j]+=2\n            W[3][u(0,q),j]-=2\n        W[3][u(5,p),u(5,p)]=1\n\n    # Layer 5: atari reaches four links, with separate graded attack.\n    for p in range(81):\n        W[4][u(0,p),u(0,p)]=1\n        j=u(1,p); B[4][j]=-19\n        W[4][u(0,p),j]=20\n        for q in [p]+adj[p]: W[4][u(1,q),j]-=1\n\n        j=u(2,p); B[4][j]=1\n        W[4][u(0,p),j]=-20\n        for q in [p]+adj[p]: W[4][u(2,q),j]-=1\n\n        j=u(3,p); B[4][j]=3\n        W[4][u(0,p),j]=-20\n        W[4][u(2,p),j]=-1\n        for q in adj[p]: W[4][u(2,q),j]-=0.5\n\n        W[4][u(3,p),u(4,p)]=1\n        W[4][u(5,p),u(5,p)]=1\n        W[4][u(4,p),u(5,p)]=-c[\"repeat_risk\"]\n\n    for p in range(81):\n        j=u(0,p); W[5][u(5,p),j]=1\n        for q in adj[p]:\n            W[5][u(2,q),j]+=c[\"capture\"]\n            W[5][u(3,q),j]+=c[\"attack\"]\n\n        j=u(1,p); W[5][u(4,p),j]=-4\n        for q in adj[p]: W[5][u(1,q),j]+=1\n        j=u(2,p); W[5][u(4,p),j]=1\n        for q in adj[p]: W[5][u(2,q),j]-=2\n\n        for ch,sign in [(3,1),(5,-1)]:\n            j=u(ch,p); B[5][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[5][u(0,q),j]+=2*sign*a\n                B[5][j]-=sign*a\n\n        j=u(4,p); B[5][j]=1-2*len(adj[p])\n        for q in adj[p]: W[5][u(0,q),j]+=2\n        for ch,a in [(0,1),(1,c[\"rescue\"]),(2,-c[\"self_atari\"]),\n                     (3,-c[\"own_territory\"]),(4,-c[\"surrounded_penalty\"]),\n                     (5,-c[\"enemy_territory\"])]:\n            OW[u(ch,p),p]=a\n        OB[p]=-100\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_v12.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_v12.npz\",**tensors)\nprint(\"Saved v12: packed board representation permits deeper tactical propagation.\")\n```"}}
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