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{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"```python\nimport os, json, numpy as np\n\nos.makedirs(\"/work\", exist_ok=True)\n\nsource = r'''\nimport numpy as np\n\nDEFAULTS = dict(\n    capture=9.0,\n    rescue=6.0,\n    attack=1.15,\n    self_atari=7.5,\n    eye=11.0,\n    connection=0.9,\n    contact=1.4,\n    own_territory=1.6,\n    enemy_territory=1.0,\n    territory_threshold=3.0,\n    pass_base=-9.0,\n    pass_per_stone=0.10,\n    pass_white=0.35,\n    own_adj=0.25,\n    own_diag=0.65,\n    own_two=0.40,\n    own_knight=0.12,\n    enemy_adj=0.75,\n    enemy_diag=0.25,\n    enemy_two=0.12,\n    temperature_scale=1.0,\n)\n\ndef build(save, overrides=None):\n    cfg = dict(DEFAULTS)\n    if overrides:\n        cfg.update(overrides)\n\n    W = [np.zeros((243 if k == 0 else 512, 512), np.float32)\n         for k in range(6)]\n    B = [np.zeros(512, np.float32) for _ in range(6)]\n    OW = np.zeros((512, 82), np.float32)\n    OB = np.zeros(82, np.float32)\n\n    def u(ch, p):\n        return 81*ch+p\n\n    adj = []\n    diag = []\n    rings = []\n    for p in range(81):\n        r, c = divmod(p, 9)\n        adj.append([rr*9+cc for rr, cc in\n                    [(r-1,c), (r+1,c), (r,c-1), (r,c+1)]\n                    if 0 <= rr < 9 and 0 <= cc < 9])\n        diag.append([rr*9+cc for rr, cc in\n                     [(r-1,c-1), (r-1,c+1), (r+1,c-1), (r+1,c+1)]\n                     if 0 <= rr < 9 and 0 <= cc < 9])\n        rings.append([(q, abs(r-q//9), abs(c-q%9))\n                      for q in range(81) if q != p])\n\n    # Layer 1: board, exact local liberties, and excess liberties.\n    for p in range(81):\n        W[0][3*p, u(0,p)] = 1\n        W[0][3*p+1, u(1,p)] = 1\n        for colour in range(2):\n            for ch, excess in [(2+colour, 0), (4+colour, 1)]:\n                j = u(ch,p)\n                B[0][j] = len(adj[p])-4-excess\n                W[0][3*p+colour,j] += 4\n                for q in adj[p]:\n                    W[0][3*q,j] -= 1\n                    W[0][3*q+1,j] -= 1\n\n    # Global counts and colour are carried separately.\n    for p in range(81):\n        W[0][3*p,486] = 1\n        W[0][3*p+1,487] = 1\n    W[0][2,488] = 1\n\n    for k in range(1,6):\n        for g in [486,487,488]:\n            W[k][g,g] = 1\n\n    def carry_board(k):\n        for ch in [0,1]:\n            for p in range(81):\n                W[k][u(ch,p),u(ch,p)] = 1\n\n    # Layer 2: liberty evidence along monochromatic connections.\n    # Orthogonally adjacent stones cannot share an immediate liberty.\n    carry_board(1)\n    for p in range(81):\n        for colour in range(2):\n            j = u(2+colour,p)\n            B[1][j] = -21\n            W[1][u(colour,p),j] = 20\n            for q in [p]+adj[p]:\n                W[1][u(2+colour,q),j] += 1\n            W[1][u(4+colour,p),u(4+colour,p)] = 1\n\n    # Layer 3: spread evidence of safety through connected stones.\n    # The other channels estimate liberties available after extension.\n    carry_board(2)\n    for p in range(81):\n        for colour in range(2):\n            j = u(2+colour,p)\n            B[2][j] = -100\n            W[2][u(colour,p),j] = 100\n            for q in [p]+adj[p]:\n                W[2][u(2+colour,q),j] += 1\n\n            j = u(4+colour,p)\n            B[2][j] = len(adj[p])\n            for q in adj[p]:\n                W[2][u(0,q),j] -= 1\n                W[2][u(1,q),j] -= 1\n                W[2][u(2+colour,q),j] += 1\n\n    # Layer 4: approximate whole-group atari, self-atari, weak enemies.\n    carry_board(3)\n    for p in range(81):\n        for colour in range(2):\n            j = u(2+colour,p)\n            W[3][u(colour,p),j] = 1\n            for q in [p]+adj[p]:\n                W[3][u(2+colour,q),j] -= 1\n\n        B[3][u(4,p)] = 2\n        W[3][u(4,p),u(4,p)] = -1\n\n        j = u(5,p)\n        W[3][u(1,p),j] = 3\n        W[3][u(3,p),j] = -1\n        for q in adj[p]:\n            W[3][u(3,q),j] -= 0.5\n\n    # Layer 5: spatial prior, captures, attack, safe rescue, and\n    # capture-aware self-atari suppression.\n    carry_board(4)\n    line_prior = [-1.5, 0.25, 1.2, 0.9, 1.0]\n    for p in range(81):\n        r,c = divmod(p,9)\n        j = u(2,p)\n        B[4][j] = (100 + line_prior[min(r,8-r)] +\n                   line_prior[min(c,8-c)])\n        for q,dr,dc in rings[p]:\n            if dr+dc == 1:\n                a,b = cfg[\"own_adj\"],cfg[\"enemy_adj\"]\n            elif dr == 1 and dc == 1:\n                a,b = cfg[\"own_diag\"],cfg[\"enemy_diag\"]\n            elif dr+dc == 2:\n                a,b = cfg[\"own_two\"],cfg[\"enemy_two\"]\n            elif sorted([dr,dc]) == [1,2]:\n                a,b = cfg[\"own_knight\"],0.0\n            else:\n                continue\n            W[4][u(0,q),j] += a\n            W[4][u(1,q),j] += b\n        for q in adj[p]:\n            W[4][u(3,q),j] += cfg[\"capture\"]\n            W[4][u(5,q),j] += cfg[\"attack\"]\n\n        j = u(3,p)\n        W[4][u(4,p),j] = 1\n        for q in adj[p]:\n            W[4][u(3,q),j] -= 2\n\n        j = u(4,p)\n        W[4][u(4,p),j] = -4\n        for q in adj[p]:\n            W[4][u(2,q),j] += 1\n\n    # Layer 6: combine tactics with connection, contact, territory,\n    # and true-eye features.\n    for p in range(81):\n        j = u(0,p)\n        W[5][u(2,p),j] = 1\n        W[5][u(3,p),j] = -cfg[\"self_atari\"]\n        W[5][u(4,p),j] = cfg[\"rescue\"]\n\n        # Connect stones without repeatedly rewarding filled triangles.\n        j = u(1,p)\n        B[5][j] = -1\n        for q in adj[p]:\n            W[5][u(0,q),j] = 1\n        for q in diag[p]:\n            W[5][u(0,q),j] = -0.65\n\n        # Avoid unsupported contact with multiple enemy stones.\n        j = u(2,p)\n        B[5][j] = -1\n        for q in adj[p]:\n            W[5][u(1,q),j] = 1\n            W[5][u(0,q),j] = -0.75\n        for q in diag[p]:\n            W[5][u(0,q),j] -= 0.20\n\n        # Discourage both filling established territory and hopeless\n        # invasions; urgent tactical bonuses can override either.\n        for colour,ch in [(0,3),(1,4)]:\n            j = u(ch,p)\n            B[5][j] = -cfg[\"territory_threshold\"]\n            for q,dr,dc in rings[p]:\n                if dr+dc == 1:\n                    weight = 1.0\n                elif dr == 1 and dc == 1:\n                    weight = 0.65\n                elif dr+dc == 2:\n                    weight = 0.45\n                elif sorted([dr,dc]) == [1,2]:\n                    weight = 0.20\n                else:\n                    continue\n                W[5][u(colour,q),j] += weight\n                W[5][u(1-colour,q),j] -= 1.2*weight\n\n        # A fully friendly orthogonal surround, adjusted for false eyes.\n        j = u(5,p)\n        B[5][j] = 1-len(adj[p])\n        for q in adj[p]:\n            W[5][u(0,q),j] += 1\n        diagonal_penalty = 1.0 if len(adj[p]) < 4 else 0.5\n        for q in diag[p]:\n            W[5][u(1,q),j] -= diagonal_penalty\n\n        for ch,coefficient in [\n            (0,1.0),\n            (1,cfg[\"connection\"]),\n            (2,-cfg[\"contact\"]),\n            (3,-cfg[\"own_territory\"]),\n            (4,-cfg[\"enemy_territory\"]),\n            (5,-cfg[\"eye\"]),\n        ]:\n            OW[u(ch,p),p] = coefficient\n        OB[p] = -100\n\n    OB[81] = cfg[\"pass_base\"]\n    OW[486,81] = cfg[\"pass_per_stone\"]\n    OW[487,81] = cfg[\"pass_per_stone\"]\n    OW[488,81] = cfg[\"pass_white\"]\n\n    OW *= cfg[\"temperature_scale\"]\n    OB *= cfg[\"temperature_scale\"]\n\n    tensors = {}\n    for k in range(6):\n        tensors[\"L%d.W\"%(k+1)] = W[k]\n        tensors[\"L%d.b\"%(k+1)] = B[k]\n    tensors[\"out.W\"] = OW\n    tensors[\"out.b\"] = OB\n    for name,array in tensors.items():\n        assert np.isfinite(array).all()\n        save(name,array)\n    return cfg, tensors\n'''\n\nwith open(\"/work/policy_design.py\", \"w\") as f:\n    f.write(source)\n\nnamespace = {}\nexec(compile(source, \"/work/policy_design.py\", \"exec\"), namespace)\nconfig, tensors = namespace[\"build\"](save)\n\nwith open(\"/work/policy_config.json\", \"w\") as f:\n    json.dump(config, f, indent=2)\nnp.savez(\"/work/policy_initial.npz\", **tensors)\n\nprint(\"Saved all 14 tensors.\")\nprint(\"Nonzero parameters:\", sum(np.count_nonzero(a) for a in tensors.values()))\nprint(\"Design: analytic liberty propagation, captures, safe rescues,\")\nprint(\"self-atari avoidance, connection, territory, eyes, and phase-aware passing.\")\nprint(json.dumps(config, indent=2))\n```"}}
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