Public export: private machine paths and host identifiers are replaced with placeholders. Recorded results and numerical weights are unchanged. Embedded source hashes identify the original files; PUBLICATION-MANIFEST.json identifies these public copies.
Built-in Codex tools were disabled. Harness execution is separately permitted only in Experiments 3 and 6. Text below is taken from saved records; it is not a new model run. Reasoning blocks are the summaries actually emitted by the CLI.
Answer the user's request.
Recorded prompt · Raw CLI events · Settings and audit
TASK. Write, from scratch, a policy network that plays 9 x 9 Go as strongly as possible. All of its weights start at zero; you set them. The goal is to win as many games as possible against the opponents described under HOW IT WILL BE MEASURED.
THE GAME: Go on a 9 x 9 board (the pgx implementation, "go_9x9").
Rows are numbered 0 (top) to 8 (bottom), columns 0 (left) to 8 (right). Black moves first; players alternate. A move either places a stone of the mover's colour on an empty point or passes. A group of stones with no adjacent empty point is captured and removed. Suicide is illegal, and so is retaking a single stone immediately (simple ko). A move that repeats an earlier whole-board position ends the game at once, and the player who made it loses. The game ends after two consecutive passes, or after 162 moves in total. Then it is scored by area: each player's stones on the board plus the empty points surrounded only by that player's stones; White receives a komi of 7.5 points. The higher score wins (no draws).
THE NETWORK. Input: 243 numbers, each 0 or 1: three planes over the 81 points, from the point of view of the player to move; input number (row * 9 + column) * 3 + plane, where plane 0 is 1 where the player to move has a stone, plane 1 is 1 where the opponent has a stone, and plane 2 is 1 everywhere when White is to move (0 when Black is). Output: 82 logits: output row * 9 + column = play at that point, output 81 = pass.
h_1 = relu(x @ L1.W + L1.b) (512 units)
h_k = relu(h_(k-1) @ Lk.W + Lk.b) for k = 2..6 (512 units each)
logits = h_6 @ out.W + out.b (82)
Tensors: L1.W (243 x 512), L1.b (512), L2.W .. L6.W (512 x 512), L2.b .. L6.b (512), out.W (512 x 82), out.b (82); 1,480,274 numbers. Row i of a weight matrix belongs to input (or unit) i, column j to unit (or output) j. Only the values can be set; the architecture is fixed. Illegal moves (occupied points, suicide, simple ko) are removed before every move, and the move is sampled from the softmax of the remaining logits (temperature 1). There is no search: the network's output is the whole policy.
HOW IT WILL BE MEASURED. After you finish, your network plays 2,000 games against each of several hidden opponents: policy networks trained with reinforcement learning on this game (self-play; they beat a uniform random player 79-98 % of the time), and a uniform random player. Your network is Black in half of the games; the moves of both players are sampled from their policies; there is no search. Score: wins / games; the main measure is the average over the trained opponents. You never see these opponents.
WHAT YOU HAVE.
1. A Python sandbox (no internet, no GPU, no Go library) with a working folder /work that is kept between runs. Available: numpy, scipy, scikit-learn, PyTorch (CPU), pandas, sympy, networkx. Before your code runs, these are defined: SHAPES and NAMES (the tensors), load(name) (a float32 numpy array: the values you saved, zeros at the start), save(name, array) (stores a tensor of the same shape), saved() (the names saved so far), inp(row, col, plane) (the input index), mv(row, col) (the output index) and PASS = 81. A run may take up to 900 seconds and 96 GB; its printed output (cut at 20,000 characters) is sent back to you. To run code, reply with exactly one block that starts with ```python and nothing else. You may run code up to 120 times.
2. Two pass tools with a budget of 50 passes in total; each use of either tool counts as one pass (a request that fails is not counted).
- A games pass plays up to 128 games of your current network (the tensors saved so far) against practice opponents: reply with exactly one block that starts with ```games and contains JSON {"games": {"strong": 64, "weak": 32, "random": 32}} (even counts, at most 128 games in total; your network is Black in half of the games against each opponent). The practice opponents: "random" (uniform random legal moves), "weak" and "strong" (two policy networks trained with reinforcement learning on this game, not among the evaluation opponents; they beat a random player 95 % and 98 % of the time). You get a summary per opponent (score, wins, mean area margin, stones captured and lost, passes, game length, how the games ended) and, in /work/pass_<k>/, every game's moves, your network's top-5 moves with their probabilities at each of its moves, and the board after every move.
- A positions pass runs your current network on up to 256 positions: reply with exactly one block that starts with ```positions and contains JSON {"positions": [{"board": ["9 strings of 9 characters: X = Black, O = White, . = empty", ...], "to_move": "black" or "white"} or {"moves": [a list of moves from the empty board: row * 9 + column, or "pass"]}, ...], "activations": true or false}. You get the top 3 moves per position and, in /work/pass_<k>/, the inputs, logits, probabilities over the legal moves and (if asked) the activations of every hidden layer. For "board" positions the legal moves are the empty points and pass (suicide and ko are not checked); for "moves" positions they are exact.
The session continues until every pass is used.
At the end, the tensors you saved with save() are your network; tensors never saved stay zero.
RULES. Not allowed: (a) gradient descent or any other training: no backward passes, autograd or optimizers, and no fitting of weights to data or labels (no regression or least squares on examples); (b) search: no game-tree search (MCTS, minimax, rollouts, looking ahead over sequences of moves), neither to choose moves nor to produce target moves or values for setting weights; (c) running the network outside the pass tools: do not compute your network's output or activations on any input in the sandbox; (d) internet access (there is none). Allowed: writing the weights by code from your own design (formulas, loops, symmetries, linear algebra on the weights themselves), Go-rule code in the sandbox (for example to work out the liberties of groups on boards you choose) as long as it does not run the network or search, and any analysis of the pass results.
HOW TO FINISH. When every pass is used and your network is saved, reply WITHOUT a code or pass block: describe its design and why you expect it to win.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import os, json, numpy as np
os.makedirs("/work", exist_ok=True)
source = r'''
import numpy as np
DEFAULTS = dict(
capture=9.0,
rescue=6.0,
attack=1.15,
self_atari=7.5,
eye=11.0,
connection=0.9,
contact=1.4,
own_territory=1.6,
enemy_territory=1.0,
territory_threshold=3.0,
pass_base=-9.0,
pass_per_stone=0.10,
pass_white=0.35,
own_adj=0.25,
own_diag=0.65,
own_two=0.40,
own_knight=0.12,
enemy_adj=0.75,
enemy_diag=0.25,
enemy_two=0.12,
temperature_scale=1.0,
)
def build(save, overrides=None):
cfg = dict(DEFAULTS)
if overrides:
cfg.update(overrides)
W = [np.zeros((243 if k == 0 else 512, 512), np.float32)
for k in range(6)]
B = [np.zeros(512, np.float32) for _ in range(6)]
OW = np.zeros((512, 82), np.float32)
OB = np.zeros(82, np.float32)
def u(ch, p):
return 81*ch+p
adj = []
diag = []
rings = []
for p in range(81):
r, c = divmod(p, 9)
adj.append([rr*9+cc for rr, cc in
[(r-1,c), (r+1,c), (r,c-1), (r,c+1)]
if 0 <= rr < 9 and 0 <= cc < 9])
diag.append([rr*9+cc for rr, cc in
[(r-1,c-1), (r-1,c+1), (r+1,c-1), (r+1,c+1)]
if 0 <= rr < 9 and 0 <= cc < 9])
rings.append([(q, abs(r-q//9), abs(c-q%9))
for q in range(81) if q != p])
# Layer 1: board, exact local liberties, and excess liberties.
for p in range(81):
W[0][3*p, u(0,p)] = 1
W[0][3*p+1, u(1,p)] = 1
for colour in range(2):
for ch, excess in [(2+colour, 0), (4+colour, 1)]:
j = u(ch,p)
B[0][j] = len(adj[p])-4-excess
W[0][3*p+colour,j] += 4
for q in adj[p]:
W[0][3*q,j] -= 1
W[0][3*q+1,j] -= 1
# Global counts and colour are carried separately.
for p in range(81):
W[0][3*p,486] = 1
W[0][3*p+1,487] = 1
W[0][2,488] = 1
for k in range(1,6):
for g in [486,487,488]:
W[k][g,g] = 1
def carry_board(k):
for ch in [0,1]:
for p in range(81):
W[k][u(ch,p),u(ch,p)] = 1
# Layer 2: liberty evidence along monochromatic connections.
# Orthogonally adjacent stones cannot share an immediate liberty.
carry_board(1)
for p in range(81):
for colour in range(2):
j = u(2+colour,p)
B[1][j] = -21
W[1][u(colour,p),j] = 20
for q in [p]+adj[p]:
W[1][u(2+colour,q),j] += 1
W[1][u(4+colour,p),u(4+colour,p)] = 1
# Layer 3: spread evidence of safety through connected stones.
# The other channels estimate liberties available after extension.
carry_board(2)
for p in range(81):
for colour in range(2):
j = u(2+colour,p)
B[2][j] = -100
W[2][u(colour,p),j] = 100
for q in [p]+adj[p]:
W[2][u(2+colour,q),j] += 1
j = u(4+colour,p)
B[2][j] = len(adj[p])
for q in adj[p]:
W[2][u(0,q),j] -= 1
W[2][u(1,q),j] -= 1
W[2][u(2+colour,q),j] += 1
# Layer 4: approximate whole-group atari, self-atari, weak enemies.
carry_board(3)
for p in range(81):
for colour in range(2):
j = u(2+colour,p)
W[3][u(colour,p),j] = 1
for q in [p]+adj[p]:
W[3][u(2+colour,q),j] -= 1
B[3][u(4,p)] = 2
W[3][u(4,p),u(4,p)] = -1
j = u(5,p)
W[3][u(1,p),j] = 3
W[3][u(3,p),j] = -1
for q in adj[p]:
W[3][u(3,q),j] -= 0.5
# Layer 5: spatial prior, captures, attack, safe rescue, and
# capture-aware self-atari suppression.
carry_board(4)
line_prior = [-1.5, 0.25, 1.2, 0.9, 1.0]
for p in range(81):
r,c = divmod(p,9)
j = u(2,p)
B[4][j] = (100 + line_prior[min(r,8-r)] +
line_prior[min(c,8-c)])
for q,dr,dc in rings[p]:
if dr+dc == 1:
a,b = cfg["own_adj"],cfg["enemy_adj"]
elif dr == 1 and dc == 1:
a,b = cfg["own_diag"],cfg["enemy_diag"]
elif dr+dc == 2:
a,b = cfg["own_two"],cfg["enemy_two"]
elif sorted([dr,dc]) == [1,2]:
a,b = cfg["own_knight"],0.0
else:
continue
W[4][u(0,q),j] += a
W[4][u(1,q),j] += b
for q in adj[p]:
W[4][u(3,q),j] += cfg["capture"]
W[4][u(5,q),j] += cfg["attack"]
j = u(3,p)
W[4][u(4,p),j] = 1
for q in adj[p]:
W[4][u(3,q),j] -= 2
j = u(4,p)
W[4][u(4,p),j] = -4
for q in adj[p]:
W[4][u(2,q),j] += 1
# Layer 6: combine tactics with connection, contact, territory,
# and true-eye features.
for p in range(81):
j = u(0,p)
W[5][u(2,p),j] = 1
W[5][u(3,p),j] = -cfg["self_atari"]
W[5][u(4,p),j] = cfg["rescue"]
# Connect stones without repeatedly rewarding filled triangles.
j = u(1,p)
B[5][j] = -1
for q in adj[p]:
W[5][u(0,q),j] = 1
for q in diag[p]:
W[5][u(0,q),j] = -0.65
# Avoid unsupported contact with multiple enemy stones.
j = u(2,p)
B[5][j] = -1
for q in adj[p]:
W[5][u(1,q),j] = 1
W[5][u(0,q),j] = -0.75
for q in diag[p]:
W[5][u(0,q),j] -= 0.20
# Discourage both filling established territory and hopeless
# invasions; urgent tactical bonuses can override either.
for colour,ch in [(0,3),(1,4)]:
j = u(ch,p)
B[5][j] = -cfg["territory_threshold"]
for q,dr,dc in rings[p]:
if dr+dc == 1:
weight = 1.0
elif dr == 1 and dc == 1:
weight = 0.65
elif dr+dc == 2:
weight = 0.45
elif sorted([dr,dc]) == [1,2]:
weight = 0.20
else:
continue
W[5][u(colour,q),j] += weight
W[5][u(1-colour,q),j] -= 1.2*weight
# A fully friendly orthogonal surround, adjusted for false eyes.
j = u(5,p)
B[5][j] = 1-len(adj[p])
for q in adj[p]:
W[5][u(0,q),j] += 1
diagonal_penalty = 1.0 if len(adj[p]) < 4 else 0.5
for q in diag[p]:
W[5][u(1,q),j] -= diagonal_penalty
for ch,coefficient in [
(0,1.0),
(1,cfg["connection"]),
(2,-cfg["contact"]),
(3,-cfg["own_territory"]),
(4,-cfg["enemy_territory"]),
(5,-cfg["eye"]),
]:
OW[u(ch,p),p] = coefficient
OB[p] = -100
OB[81] = cfg["pass_base"]
OW[486,81] = cfg["pass_per_stone"]
OW[487,81] = cfg["pass_per_stone"]
OW[488,81] = cfg["pass_white"]
OW *= cfg["temperature_scale"]
OB *= cfg["temperature_scale"]
tensors = {}
for k in range(6):
tensors["L%d.W"%(k+1)] = W[k]
tensors["L%d.b"%(k+1)] = B[k]
tensors["out.W"] = OW
tensors["out.b"] = OB
for name,array in tensors.items():
assert np.isfinite(array).all()
save(name,array)
return cfg, tensors
'''
with open("/work/policy_design.py", "w") as f:
f.write(source)
namespace = {}
exec(compile(source, "/work/policy_design.py", "exec"), namespace)
config, tensors = namespace["build"](save)
with open("/work/policy_config.json", "w") as f:
json.dump(config, f, indent=2)
np.savez("/work/policy_initial.npz", **tensors)
print("Saved all 14 tensors.")
print("Nonzero parameters:", sum(np.count_nonzero(a) for a in tensors.values()))
print("Design: analytic liberty propagation, captures, safe rescues,")
print("self-atari avoidance, connection, territory, eyes, and phase-aware passing.")
print(json.dumps(config, indent=2))
```{
"t": 1792787833.5812583,
"kind": "python",
"s": 1.05,
"code": "import 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",
"out": "Saved all 14 tensors.\nNonzero parameters: 21080\nDesign: analytic liberty propagation, captures, safe rescues,\nself-atari avoidance, connection, territory, eyes, and phase-aware passing.\n{\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\": 0.1,\n \"pass_white\": 0.35,\n \"own_adj\": 0.25,\n \"own_diag\": 0.65,\n \"own_two\": 0.4,\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"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 1 of at most 120:
```
Saved all 14 tensors.
Nonzero parameters: 21080
Design: analytic liberty propagation, captures, safe rescues,
self-atari avoidance, connection, territory, eyes, and phase-aware passing.
{
"capture": 9.0,
"rescue": 6.0,
"attack": 1.15,
"self_atari": 7.5,
"eye": 11.0,
"connection": 0.9,
"contact": 1.4,
"own_territory": 1.6,
"enemy_territory": 1.0,
"territory_threshold": 3.0,
"pass_base": -9.0,
"pass_per_stone": 0.1,
"pass_white": 0.35,
"own_adj": 0.25,
"own_diag": 0.65,
"own_two": 0.4,
"own_knight": 0.12,
"enemy_adj": 0.75,
"enemy_diag": 0.25,
"enemy_two": 0.12,
"temperature_scale": 1.0
}
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":64,"weak":32,"random":32}}
```{
"t": 1792787866.302576,
"kind": "games",
"k": 1,
"request": {
"games": {
"strong": 64,
"weak": 32,
"random": 32
}
},
"result": {
"ok": true,
"pass": 1,
"kind": "games",
"per_opponent": {
"random": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 42.96875,
"mean_length": 96.8125,
"stones_captured_per_game": 32.09375,
"stones_lost_per_game": 0.53125,
"passes_per_game": 1.25,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
},
"strong": {
"games": 64,
"score": 0.578125,
"wins": 37,
"losses": 27,
"score_as_black": 0.375,
"score_as_white": 0.78125,
"mean_margin": 13.09375,
"mean_length": 101.0625,
"stones_captured_per_game": 19.609375,
"stones_lost_per_game": 16.46875,
"passes_per_game": 2.9375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 62,
"end_repetition": 2,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.90625,
"wins": 29,
"losses": 3,
"score_as_black": 0.8125,
"score_as_white": 1.0,
"mean_margin": 22.4375,
"mean_length": 96.9375,
"stones_captured_per_game": 20.6875,
"stones_lost_per_game": 9.5,
"passes_per_game": 3.75,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_1/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 1 of 50 done.
```
{"ok": true, "pass": 1, "kind": "games", "per_opponent": {"random": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 42.96875, "mean_length": 96.8125, "stones_captured_per_game": 32.09375, "stones_lost_per_game": 0.53125, "passes_per_game": 1.25, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}, "strong": {"games": 64, "score": 0.578125, "wins": 37, "losses": 27, "score_as_black": 0.375, "score_as_white": 0.78125, "mean_margin": 13.09375, "mean_length": 101.0625, "stones_captured_per_game": 19.609375, "stones_lost_per_game": 16.46875, "passes_per_game": 2.9375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 62, "end_repetition": 2, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.90625, "wins": 29, "losses": 3, "score_as_black": 0.8125, "score_as_white": 1.0, "mean_margin": 22.4375, "mean_length": 96.9375, "stones_captured_per_game": 20.6875, "stones_lost_per_game": 9.5, "passes_per_game": 3.75, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_1/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 49.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import os, json, numpy as np
path = "/work/pass_1"
games = json.load(open(path+"/games.json"))
print(type(games), len(games))
if isinstance(games, dict):
print(games.keys())
else:
print(json.dumps(games[0], indent=2)[:6500])
boards = np.load(path+"/boards.npy")
valid = np.load(path+"/valid.npy")
print("board shapes", boards.shape, valid.shape)
print("files", os.listdir(path))
if isinstance(games, list):
for i,g in enumerate(games):
if g.get("opponent") == "strong" and g.get("result") == -1:
print("LOSS",i,{k:v for k,v in g.items() if k!="moves"})
b = boards[i, np.flatnonzero(valid[i])[-1]].reshape(9,9)
print("\n".join("".join({0:".",1:"X",-1:"O"}[int(x)] for x in row) for row in b))
if i > 45:
break
```{
"t": 1792787888.2544155,
"kind": "python",
"s": 0.81,
"code": "import os, json, numpy as np\npath = \"/work/pass_1\"\ngames = json.load(open(path+\"/games.json\"))\nprint(type(games), len(games))\nif isinstance(games, dict):\n print(games.keys())\nelse:\n print(json.dumps(games[0], indent=2)[:6500])\nboards = np.load(path+\"/boards.npy\")\nvalid = np.load(path+\"/valid.npy\")\nprint(\"board shapes\", boards.shape, valid.shape)\nprint(\"files\", os.listdir(path))\nif isinstance(games, list):\n for i,g in enumerate(games):\n if g.get(\"opponent\") == \"strong\" and g.get(\"result\") == -1:\n print(\"LOSS\",i,{k:v for k,v in g.items() if k!=\"moves\"})\n b = boards[i, np.flatnonzero(valid[i])[-1]].reshape(9,9)\n print(\"\\n\".join(\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(x)] for x in row) for row in b))\n if i > 45:\n break\n",
"out": "<class 'list'> 128\n{\n \"game\": 0,\n \"opponent\": \"random\",\n \"net_color\": \"black\",\n \"result\": 1,\n \"margin\": 73.5,\n \"end\": \"two passes\",\n \"stones_captured_by_net\": 71,\n \"stones_lost_by_net\": 0,\n \"moves\": [\n {\n \"ply\": 0,\n \"by\": \"net\",\n \"move\": 67,\n \"top5\": [\n [\n 20,\n 0.0369\n ],\n [\n 24,\n 0.0369\n ],\n [\n 56,\n 0.0369\n ],\n [\n 60,\n 0.0369\n ],\n [\n 22,\n 0.0302\n ]\n ]\n },\n {\n \"ply\": 1,\n \"by\": \"opponent\",\n \"move\": 65\n },\n {\n \"ply\": 2,\n \"by\": \"net\",\n \"move\": 57,\n \"top5\": [\n [\n 56,\n 0.0752\n ],\n [\n 57,\n 0.0574\n ],\n [\n 59,\n 0.0447\n ],\n [\n 60,\n 0.0355\n ],\n [\n 58,\n 0.0331\n ]\n ]\n },\n {\n \"ply\": 3,\n \"by\": \"opponent\",\n \"move\": 3\n },\n {\n \"ply\": 4,\n \"by\": \"net\",\n \"move\": 24,\n \"top5\": [\n [\n 58,\n 0.0817\n ],\n [\n 56,\n 0.0754\n ],\n [\n 66,\n 0.0605\n ],\n [\n 59,\n 0.0521\n ],\n [\n 12,\n 0.0472\n ]\n ]\n },\n {\n \"ply\": 5,\n \"by\": \"opponent\",\n \"move\": 59\n },\n {\n \"ply\": 6,\n \"by\": \"net\",\n \"move\": 29,\n \"top5\": [\n [\n 58,\n 0.1474\n ],\n [\n 56,\n 0.0643\n ],\n [\n 66,\n 0.0516\n ],\n [\n 60,\n 0.0501\n ],\n [\n 49,\n 0.0467\n ]\n ]\n },\n {\n \"ply\": 7,\n \"by\": \"opponent\",\n \"move\": 63\n },\n {\n \"ply\": 8,\n \"by\": \"net\",\n \"move\": 20,\n \"top5\": [\n [\n 58,\n 0.1331\n ],\n [\n 56,\n 0.058\n ],\n [\n 66,\n 0.0466\n ],\n [\n 60,\n 0.0452\n ],\n [\n 47,\n 0.0452\n ]\n ]\n },\n {\n \"ply\": 9,\n \"by\": \"opponent\",\n \"move\": 4\n },\n {\n \"ply\": 10,\n \"by\": \"net\",\n \"move\": 41,\n \"top5\": [\n [\n 58,\n 0.1269\n ],\n [\n 56,\n 0.0553\n ],\n [\n 66,\n 0.0444\n ],\n [\n 60,\n 0.0431\n ],\n [\n 47,\n 0.0431\n ]\n ]\n },\n {\n \"ply\": 11,\n \"by\": \"opponent\",\n \"move\": 72\n },\n {\n \"ply\": 12,\n \"by\": \"net\",\n \"move\": 39,\n \"top5\": [\n [\n 58,\n 0.1245\n ],\n [\n 49,\n 0.067\n ],\n [\n 56,\n 0.0481\n ],\n [\n 39,\n 0.0458\n ],\n [\n 60,\n 0.0423\n ]\n ]\n },\n {\n \"ply\": 13,\n \"by\": \"opponent\",\n \"move\": 0\n },\n {\n \"ply\": 14,\n \"by\": \"net\",\n \"move\": 50,\n \"top5\": [\n [\n 58,\n 0.1071\n ],\n [\n 49,\n 0.0979\n ],\n [\n 38,\n 0.067\n ],\n [\n 47,\n 0.0548\n ],\n [\n 31,\n 0.0506\n ]\n ]\n },\n {\n \"ply\": 15,\n \"by\": \"opponent\",\n \"move\": 17\n },\n {\n \"ply\": 16,\n \"by\": \"net\",\n \"move\": 60,\n \"top5\": [\n [\n 58,\n 0.2323\n ],\n [\n 60,\n 0.1256\n ],\n [\n 49,\n 0.0809\n ],\n [\n 38,\n 0.0431\n ],\n [\n 48,\n 0.0367\n ]\n ]\n },\n {\n \"ply\": 17,\n \"by\": \"opponent\",\n \"move\": 42\n },\n {\n \"ply\": 18,\n \"by\": \"net\",\n \"move\": 58,\n \"top5\": [\n [\n 58,\n 0.4931\n ],\n [\n 51,\n 0.0956\n ],\n [\n 68,\n 0.087\n ],\n [\n 33,\n 0.0477\n ],\n [\n 49,\n 0.0411\n ]\n ]\n },\n {\n \"ply\": 19,\n \"by\": \"opponent\",\n \"move\": 34\n },\n {\n \"ply\": 20,\n \"by\": \"net\",\n \"move\": 68,\n \"top5\": [\n [\n 68,\n 0.9999\n ],\n [\n 51,\n 0.0\n ],\n [\n 33,\n 0.0\n ],\n [\n 40,\n 0.0\n ],\n [\n 49,\n 0.0\n ]\n ]\n },\n {\n \"ply\": 21,\n \"by\": \"opponent\",\n \"move\": 44\n },\n {\n \"ply\": 22,\n \"by\": \"net\",\n \"move\": 47,\n \"top5\": [\n [\n 51,\n 0.2161\n ],\n [\n 33,\n 0.215\n ],\n [\n 40,\n 0.0492\n ],\n [\n 38,\n 0.0443\n ],\n [\n 47,\n 0.0409\n ]\n ]\n },\n {\n \"ply\": 23,\n \"by\": \"opponent\",\n \"move\": 10\n },\n {\n \"ply\": 24,\n \"by\": \"net\",\n \"move\": 79,\n \"top5\": [\n [\n 51,\n 0.2029\n ],\n [\n 33,\n 0.2019\n ],\n [\n 56,\n 0.1212\n ],\n [\n 38,\n 0.0464\n ],\n [\n 40,\n 0.0403\n ]\n ]\n },\n {\n \"ply\": 25,\n \"by\": \"opponent\",\n \"move\": 16\n },\n {\n \"ply\": 26,\n \"by\": \"net\",\n \"move\": 22,\n \"top5\": [\n [\n 51,\n 0.2063\n ],\n [\n 33,\n 0.2053\n ],\n [\n 56,\n 0.1233\n ],\n [\n 38,\n 0.0472\n ],\n [\n 40,\n 0.041\n ]\n ]\n }"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 2 of at most 120:
```
<class 'list'> 128
{
"game": 0,
"opponent": "random",
"net_color": "black",
"result": 1,
"margin": 73.5,
"end": "two passes",
"stones_captured_by_net": 71,
"stones_lost_by_net": 0,
"moves": [
{
"ply": 0,
"by": "net",
"move": 67,
"top5": [
[
20,
0.0369
],
[
24,
0.0369
],
[
56,
0.0369
],
[
60,
0.0369
],
[
22,
0.0302
]
]
},
{
"ply": 1,
"by": "opponent",
"move": 65
},
{
"ply": 2,
"by": "net",
"move": 57,
"top5": [
[
56,
0.0752
],
[
57,
0.0574
],
[
59,
0.0447
],
[
60,
0.0355
],
[
58,
0.0331
]
]
},
{
"ply": 3,
"by": "opponent",
"move": 3
},
{
"ply": 4,
"by": "net",
"move": 24,
"top5": [
[
58,
0.0817
],
[
56,
0.0754
],
[
66,
0.0605
],
[
59,
0.0521
],
[
12,
0.0472
]
]
},
{
"ply": 5,
"by": "opponent",
"move": 59
},
{
"ply": 6,
"by": "net",
"move": 29,
"top5": [
[
58,
0.1474
],
[
56,
0.0643
],
[
66,
0.0516
],
[
60,
0.0501
],
[
49,
0.0467
]
]
},
{
"ply": 7,
"by": "opponent",
"move": 63
},
{
"ply": 8,
"by": "net",
"move": 20,
"top5": [
[
58,
0.1331
],
[
56,
0.058
],
[
66,
0.0466
],
[
60,
0.0452
],
[
47,
0.0452
]
]
},
{
"ply": 9,
"by": "opponent",
"move": 4
},
{
"ply": 10,
"by": "net",
"move": 41,
"top5": [
[
58,
0.1269
],
[
56,
0.0553
],
[
66,
0.0444
],
[
60,
0.0431
],
[
47,
0.0431
]
]
},
{
"ply": 11,
"by": "opponent",
"move": 72
},
{
"ply": 12,
"by": "net",
"move": 39,
"top5": [
[
58,
0.1245
],
[
49,
0.067
],
[
56,
0.0481
],
[
39,
0.0458
],
[
60,
0.0423
]
]
},
{
"ply": 13,
"by": "opponent",
"move": 0
},
{
"ply": 14,
"by": "net",
"move": 50,
"top5": [
[
58,
0.1071
],
[
49,
0.0979
],
[
38,
0.067
],
[
47,
0.0548
],
[
31,
0.0506
]
]
},
{
"ply": 15,
"by": "opponent",
"move": 17
},
{
"ply": 16,
"by": "net",
"move": 60,
"top5": [
[
58,
0.2323
],
[
60,
0.1256
],
[
49,
0.0809
],
[
38,
0.0431
],
[
48,
0.0367
]
]
},
{
"ply": 17,
"by": "opponent",
"move": 42
},
{
"ply": 18,
"by": "net",
"move": 58,
"top5": [
[
58,
0.4931
],
[
51,
0.0956
],
[
68,
0.087
],
[
33,
0.0477
],
[
49,
0.0411
]
]
},
{
"ply": 19,
"by": "opponent",
"move": 34
},
{
"ply": 20,
"by": "net",
"move": 68,
"top5": [
[
68,
0.9999
],
[
51,
0.0
],
[
33,
0.0
],
[
40,
0.0
],
[
49,
0.0
]
]
},
{
"ply": 21,
"by": "opponent",
"move": 44
},
{
"ply": 22,
"by": "net",
"move": 47,
"top5": [
[
51,
0.2161
],
[
33,
0.215
],
[
40,
0.0492
],
[
38,
0.0443
],
[
47,
0.0409
]
]
},
{
"ply": 23,
"by": "opponent",
"move": 10
},
{
"ply": 24,
"by": "net",
"move": 79,
"top5": [
[
51,
0.2029
],
[
33,
0.2019
],
[
56,
0.1212
],
[
38,
0.0464
],
[
40,
0.0403
]
]
},
{
"ply": 25,
"by": "opponent",
"move": 16
},
{
"ply": 26,
"by": "net",
"move": 22,
"top5": [
[
51,
0.2063
],
[
33,
0.2053
],
[
56,
0.1233
],
[
38,
0.0472
],
[
40,
0.041
]
]
},
{
"ply": 27,
"by": "opponent",
"move": 18
},
{
"ply": 28,
"by": "net",
"move": 15,
"top5": [
[
33,
0.2001
],
[
51,
0.1783
],
[
56,
0.1066
],
[
19,
0.0822
],
[
32,
0.0412
]
]
},
{
"ply": 29,
"by": "opponent",
"move": 13
},
{
"ply": 30,
board shapes (128, 162, 81) (128, 162)
files ['boards.npy', 'summary.json', 'README.txt', 'games.json', 'valid.npy']
LOSS 33 {'game': 33, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -8.5, 'end': 'two passes', 'stones_captured_by_net': 9, 'stones_lost_by_net': 8}
.X.XXXOO.
XXX.XOOOO
XXXXXOOO.
X.XXXOOOO
XX.XOOOOO
.XXXOO.OO
X.XXOOOOO
.XXOO.O.O
X.XXOOOO.
LOSS 35 {'game': 35, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -14.5, 'end': 'two passes', 'stones_captured_by_net': 3, 'stones_lost_by_net': 10}
XX.X.XX.X
XXXXX.XX.
XOOOXXXXX
XOOOXXXXX
OO.OOXXXO
OOOOOOXOO
OOO.OOOOO
OOOOOOOOO
.OO.XOOX.
LOSS 36 {'game': 36, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -9.5, 'end': 'two passes', 'stones_captured_by_net': 6, 'stones_lost_by_net': 18}
X.XOOOOOO
.XXXOOOXO
XXXXXOO.O
.XXXXO.OO
X.XXOOOOO
.XXOOOOOO
X.XOO.XX.
.XXXOOOOO
X.XXOOO..
LOSS 38 {'game': 38, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': 9.5, 'end': 'repetition', 'stones_captured_by_net': 15, 'stones_lost_by_net': 35}
.X.X..OO.
OOXXO.OOO
OOO.O.OXO
OOOOOOOXX
XOOOOOXX.
XXXOXXX.X
X.XOXX.X.
.XXXXXX.X
X.X.X.XX.
LOSS 40 {'game': 40, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -21.5, 'end': 'two passes', 'stones_captured_by_net': 4, 'stones_lost_by_net': 25}
.X.X.XXO.
XXX.X.XOO
.XXXXXXOO
XXXXXXOOO
OOOXXXOOO
OOOOOOOOO
OO.OO.XOO
O.XOOOOOO
.OOOOOOO.
LOSS 41 {'game': 41, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -8.5, 'end': 'two passes', 'stones_captured_by_net': 10, 'stones_lost_by_net': 18}
X.XXXXOO.
XX.XXOOOO
.XXXXOOO.
XX.XXO..O
.XXXOOOOO
XXXXOOOOO
XXOOO.XXX
.XOO.OOO.
XXXOOOOOO
LOSS 42 {'game': 42, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -17.5, 'end': 'two passes', 'stones_captured_by_net': 7, 'stones_lost_by_net': 32}
.XXOO.OO.
XXOOOXOOO
XXOOO.OOO
.XXXOO.OO
XXXXOOOOO
X.XXOO.OO
.XXOOOOOO
XXXXOOOOX
.XXXXXOO.
LOSS 44 {'game': 44, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -12.5, 'end': 'two passes', 'stones_captured_by_net': 21, 'stones_lost_by_net': 37}
OXXXX.X.X
OOOXXX.XX
OOOOXXX.X
OX.OOXXXX
OOOOOOXXX
.O.OXXX.X
OOOOOXXXX
OOO.OOOOX
.OOOO.OO.
LOSS 45 {'game': 45, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -27.5, 'end': 'two passes', 'stones_captured_by_net': 11, 'stones_lost_by_net': 54}
OOOOOOXXX
.OOOOXXX.
OOOOOOXXX
.OOOOXXXX
OOOOOXXX.
OXXOOOXXX
OOX.OXXXX
OOOOOXOOX
OOOOOOOOO
LOSS 47 {'game': 47, 'opponent': 'strong', 'net_color': 'black', 'result': -1, 'margin': -9.5, 'end': 'two passes', 'stones_captured_by_net': 5, 'stones_lost_by_net': 7}
XXX.X.X.X
X.XXXXXX.
XX.XX.XXX
OXXXXXXOO
OOXXOOOOO
OOOOOO.O.
OO.O.OXOX
.OOOXOOOO
.OOOOOOO.
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np, collections
games=json.load(open("/work/pass_1/games.json"))
boards=np.load("/work/pass_1/boards.npy")
N=[[] for _ in range(81)]
for p in range(81):
r,c=divmod(p,9)
N[p]=[rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)]
if 0<=rr<9 and 0<=cc<9]
def groups(b):
seen=set(); out=[]
for p in range(81):
if not b[p] or p in seen: continue
stones={p}; stack=[p]; seen.add(p); libs=set()
while stack:
q=stack.pop()
for z in N[q]:
if b[z]==0: libs.add(z)
elif b[z]==b[p] and z not in seen:
seen.add(z); stones.add(z); stack.append(z)
out.append((int(b[p]),stones,libs))
return out
def show(b):
print("\n".join("".join(".XO"[{0:0,1:1,-1:2}[int(x)]] for x in row)
for row in b.reshape(9,9)))
stats=collections.Counter()
examples=[]
for gi,g in enumerate(games):
if g["opponent"]!="strong": continue
me=1 if g["net_color"]=="black" else -1
for t,m in enumerate(g["moves"]):
before=boards[gi,t-1] if t else np.zeros(81,dtype=np.int8)
after=boards[gi,t]
if m["by"]=="net":
caps=collections.Counter()
for col,st,libs in groups(before):
if col==-me and len(libs)==1:
caps[next(iter(libs))]+=len(st)
if caps:
stats["capture_available"]+=1
if m["move"] in caps: stats["capture_taken"]+=1
elif not any(a in caps for a,p in m["top5"]):
stats["capture_absent_top5"]+=1
else:
lost=int(np.sum((before==me)&(after!=me)))
if lost>=3:
stats["loss_events_3plus"]+=1
prev=g["moves"][t-1] if t else None
preprev=boards[gi,t-2] if t>=2 else np.zeros(81,dtype=np.int8)
threatened=[(len(st),sorted(libs)) for col,st,libs in groups(preprev)
if col==me and len(libs)==1]
examples.append((lost,gi,t,prev,threatened,preprev.copy()))
print(dict(stats))
for lost,gi,t,prev,threatened,b in sorted(examples,reverse=True,key=lambda x:x[0])[:8]:
print("\nCAPTURED",lost,"game",gi,"ply",t,"our previous move",prev,
"prior own ataris",threatened)
show(b)
```{
"t": 1792787925.179122,
"kind": "python",
"s": 1.3,
"code": "import json, numpy as np, collections\ngames=json.load(open(\"/work/pass_1/games.json\"))\nboards=np.load(\"/work/pass_1/boards.npy\")\nN=[[] for _ in range(81)]\nfor p in range(81):\n r,c=divmod(p,9)\n N[p]=[rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)]\n if 0<=rr<9 and 0<=cc<9]\ndef groups(b):\n seen=set(); out=[]\n for p in range(81):\n if not b[p] or p in seen: continue\n stones={p}; stack=[p]; seen.add(p); libs=set()\n while stack:\n q=stack.pop()\n for z in N[q]:\n if b[z]==0: libs.add(z)\n elif b[z]==b[p] and z not in seen:\n seen.add(z); stones.add(z); stack.append(z)\n out.append((int(b[p]),stones,libs))\n return out\ndef show(b):\n print(\"\\n\".join(\"\".join(\".XO\"[{0:0,1:1,-1:2}[int(x)]] for x in row)\n for row in b.reshape(9,9)))\nstats=collections.Counter()\nexamples=[]\nfor gi,g in enumerate(games):\n if g[\"opponent\"]!=\"strong\": continue\n me=1 if g[\"net_color\"]==\"black\" else -1\n for t,m in enumerate(g[\"moves\"]):\n before=boards[gi,t-1] if t else np.zeros(81,dtype=np.int8)\n after=boards[gi,t]\n if m[\"by\"]==\"net\":\n caps=collections.Counter()\n for col,st,libs in groups(before):\n if col==-me and len(libs)==1:\n caps[next(iter(libs))]+=len(st)\n if caps:\n stats[\"capture_available\"]+=1\n if m[\"move\"] in caps: stats[\"capture_taken\"]+=1\n elif not any(a in caps for a,p in m[\"top5\"]):\n stats[\"capture_absent_top5\"]+=1\n else:\n lost=int(np.sum((before==me)&(after!=me)))\n if lost>=3:\n stats[\"loss_events_3plus\"]+=1\n prev=g[\"moves\"][t-1] if t else None\n preprev=boards[gi,t-2] if t>=2 else np.zeros(81,dtype=np.int8)\n threatened=[(len(st),sorted(libs)) for col,st,libs in groups(preprev)\n if col==me and len(libs)==1]\n examples.append((lost,gi,t,prev,threatened,preprev.copy()))\nprint(dict(stats))\nfor lost,gi,t,prev,threatened,b in sorted(examples,reverse=True,key=lambda x:x[0])[:8]:\n print(\"\\nCAPTURED\",lost,\"game\",gi,\"ply\",t,\"our previous move\",prev,\n \"prior own ataris\",threatened)\n show(b)\n",
"out": "{'capture_available': 875, 'capture_taken': 679, 'loss_events_3plus': 85, 'capture_absent_top5': 161}\n\nCAPTURED 17 game 51 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 9, 'top5': [[9, 0.7707], [28, 0.1547], [0, 0.0437], [81, 0.0302], [79, 0.0003]]} prior own ataris [(1, [1]), (4, [5]), (17, [52])]\n..XOX.O.O\n.OOOXXOOX\nXXOOXOOXX\nX.XOOOOOX\n.XXXOXXXX\nX.XOOXX.X\nXXXOXXXXO\nXOOOOXXOO\nXO.O.OO..\n\nCAPTURED 15 game 83 ply 82 our previous move {'ply': 81, 'by': 'net', 'move': 37, 'top5': [[37, 0.652], [81, 0.3356], [71, 0.007], [75, 0.003], [76, 0.002]]} prior own ataris [(1, [71])]\nXXXXXOXX.\nXOOXXOXXX\nOOOXOOOOO\n.OXXXOO.O\nO.OXXOOOO\nOOOXXO.O.\nOXOXOOOOO\nXXOXXXXO.\n.XX..X.XO\n\nCAPTURED 14 game 45 ply 89 our previous move {'ply': 88, 'by': 'net', 'move': 81, 'top5': [[81, 0.6572], [33, 0.3428], [44, 0.0], [72, 0.0], [80, 0.0]]} prior own ataris [(2, [0]), (14, [36])]\n.OOOOOXXX\nXXOOOXXX.\nOOOOOOXXX\nXXXXOX.XX\n.XXOOXXX.\nXXXOOOXXX\nOXXXOXXXX\nOOXOOXOOX\n.OXOOO.O.\n\nCAPTURED 14 game 62 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 79, 'top5': [[79, 0.998], [75, 0.0019], [81, 0.0], [76, 0.0], [25, 0.0]]} prior own ataris [(1, [79])]\n.XOOO.OOO\nXXXXOOO.O\n.XXXXOO.O\nX.XOOXOOO\nXXXXOXXOX\n.XXOOOXXX\nX.XXOOXXX\n.XXOOOOX.\nX.X..OX.X\n\nCAPTURED 13 game 91 ply 86 our previous move {'ply': 85, 'by': 'net', 'move': 81, 'top5': [[81, 1.0], [61, 0.0], [79, 0.0], [67, 0.0], [0, 0.0]]} prior own ataris [(13, [12])]\nXOOOOOOXX\nXXO.OOXXX\nXXXOOXXOO\nX.XXOOXXO\nXXXXXXXXO\nXXXOOOOOO\nXXOOOOO.O\nXXXO.OOOO\n.XOOOOO.O\n\nCAPTURED 12 game 48 ply 83 our previous move {'ply': 82, 'by': 'net', 'move': 45, 'top5': [[45, 1.0], [81, 0.0], [56, 0.0], [63, 0.0], [72, 0.0]]} prior own ataris [(12, [0]), (1, [8])]\n.XXXXXOX.\nOXXXOXOOO\nOOXXOOOXO\nOOOXOOXXX\nOOOOOXXX.\n.XXOXXX.X\nOO.OOX.X.\n.OOOXXX.X\n.OOXXXXX.\n\nCAPTURED 11 game 38 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [81, 0.0], [55, 0.0], [52, 0.0], [44, 0.0]]} prior own ataris []\n.X.XXXOO.\nOXXXOXOOO\nOOOXOXOXO\nOOOOOOOXX\nXOOOOOXX.\nXXXOXXX.X\nX.XOXX.X.\n.XXXXXX.X\nX.X.X.XX.\n\nCAPTURED 11 game 54 ply 73 our previous move {'ply': 72, 'by': 'net', 'move': 44, 'top5': [[44, 0.5784], [2, 0.42], [10, 0.0011], [18, 0.0002], [9, 0.0001]]} prior own ataris [(2, [2]), (1, [44])]\n.X.XXOOOX\n..XOOOOOX\n.X.XXOXXX\nX.XXOOX.X\n.X.XOOXX.\nX.XOOOOOX\nXXXXO.OOO\n.X.XO..OO\nX.XOOO.O.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 3 of at most 120:
```
{'capture_available': 875, 'capture_taken': 679, 'loss_events_3plus': 85, 'capture_absent_top5': 161}
CAPTURED 17 game 51 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 9, 'top5': [[9, 0.7707], [28, 0.1547], [0, 0.0437], [81, 0.0302], [79, 0.0003]]} prior own ataris [(1, [1]), (4, [5]), (17, [52])]
..XOX.O.O
.OOOXXOOX
XXOOXOOXX
X.XOOOOOX
.XXXOXXXX
X.XOOXX.X
XXXOXXXXO
XOOOOXXOO
XO.O.OO..
CAPTURED 15 game 83 ply 82 our previous move {'ply': 81, 'by': 'net', 'move': 37, 'top5': [[37, 0.652], [81, 0.3356], [71, 0.007], [75, 0.003], [76, 0.002]]} prior own ataris [(1, [71])]
XXXXXOXX.
XOOXXOXXX
OOOXOOOOO
.OXXXOO.O
O.OXXOOOO
OOOXXO.O.
OXOXOOOOO
XXOXXXXO.
.XX..X.XO
CAPTURED 14 game 45 ply 89 our previous move {'ply': 88, 'by': 'net', 'move': 81, 'top5': [[81, 0.6572], [33, 0.3428], [44, 0.0], [72, 0.0], [80, 0.0]]} prior own ataris [(2, [0]), (14, [36])]
.OOOOOXXX
XXOOOXXX.
OOOOOOXXX
XXXXOX.XX
.XXOOXXX.
XXXOOOXXX
OXXXOXXXX
OOXOOXOOX
.OXOOO.O.
CAPTURED 14 game 62 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 79, 'top5': [[79, 0.998], [75, 0.0019], [81, 0.0], [76, 0.0], [25, 0.0]]} prior own ataris [(1, [79])]
.XOOO.OOO
XXXXOOO.O
.XXXXOO.O
X.XOOXOOO
XXXXOXXOX
.XXOOOXXX
X.XXOOXXX
.XXOOOOX.
X.X..OX.X
CAPTURED 13 game 91 ply 86 our previous move {'ply': 85, 'by': 'net', 'move': 81, 'top5': [[81, 1.0], [61, 0.0], [79, 0.0], [67, 0.0], [0, 0.0]]} prior own ataris [(13, [12])]
XOOOOOOXX
XXO.OOXXX
XXXOOXXOO
X.XXOOXXO
XXXXXXXXO
XXXOOOOOO
XXOOOOO.O
XXXO.OOOO
.XOOOOO.O
CAPTURED 12 game 48 ply 83 our previous move {'ply': 82, 'by': 'net', 'move': 45, 'top5': [[45, 1.0], [81, 0.0], [56, 0.0], [63, 0.0], [72, 0.0]]} prior own ataris [(12, [0]), (1, [8])]
.XXXXXOX.
OXXXOXOOO
OOXXOOOXO
OOOXOOXXX
OOOOOXXX.
.XXOXXX.X
OO.OOX.X.
.OOOXXX.X
.OOXXXXX.
CAPTURED 11 game 38 ply 81 our previous move {'ply': 80, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [81, 0.0], [55, 0.0], [52, 0.0], [44, 0.0]]} prior own ataris []
.X.XXXOO.
OXXXOXOOO
OOOXOXOXO
OOOOOOOXX
XOOOOOXX.
XXXOXXX.X
X.XOXX.X.
.XXXXXX.X
X.X.X.XX.
CAPTURED 11 game 54 ply 73 our previous move {'ply': 72, 'by': 'net', 'move': 44, 'top5': [[44, 0.5784], [2, 0.42], [10, 0.0011], [18, 0.0002], [9, 0.0001]]} prior own ataris [(2, [2]), (1, [44])]
.X.XXOOOX
..XOOOOOX
.X.XXOXXX
X.XXOOX.X
.X.XOOXX.
X.XOOOOOX
XXXXO.OOO
.X.XO..OO
X.XOOO.O.
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```positions
{"positions":[{"board":[".XOOO.OOO","XXXXOOO.O",".XXXXOO.O","X.XOOXOOO","XXXXOXXOX",".XXOOOXXX","X.XXOOXXX",".XXOOOOX.","X.X..OX.X"],"to_move":"black"},{"board":["XXXXXOXX.","XOOXXOXXX","OOOXOOOOO",".OXXXOO.O","O.OXXOOOO","OOOXXO.O.","OXOXOOOOO","XXOXXXXO.",".XX..X.XO"],"to_move":"white"},{"board":[".X.XXXOO.","OXXXOXOOO","OOOXOXOXO","OOOOOOOXX","XOOOOOXX.","XXXOXXX.X","X.XOXX.X.","XXXXXXX.X","X.X.X.XX."],"to_move":"black"}],"activations":true}
```{
"t": 1792787964.5163097,
"kind": "positions",
"k": 2,
"request": {
"positions": [
{
"board": [
".XOOO.OOO",
"XXXXOOO.O",
".XXXXOO.O",
"X.XOOXOOO",
"XXXXOXXOX",
".XXOOOXXX",
"X.XXOOXXX",
".XXOOOOX.",
"X.X..OX.X"
],
"to_move": "black"
},
{
"board": [
"XXXXXOXX.",
"XOOXXOXXX",
"OOOXOOOOO",
".OXXXOO.O",
"O.OXXOOOO",
"OOOXXO.O.",
"OXOXOOOOO",
"XXOXXXXO.",
".XX..X.XO"
],
"to_move": "white"
},
{
"board": [
".X.XXXOO.",
"OXXXOXOOO",
"OOOXOXOXO",
"OOOOOOOXX",
"XOOOOOXX.",
"XXXOXXX.X",
"X.XOXX.X.",
"XXXXXXX.X",
"X.X.X.XX."
],
"to_move": "black"
}
],
"activations": true
},
"result": {
"ok": true,
"pass": 2,
"kind": "positions",
"positions": 3,
"top3_per_position": [
[
[
"(8,7)",
0.998
],
[
"(8,3)",
0.0019
],
[
"pass",
0.0
]
],
[
[
"(8,6)",
1.0
],
[
"(4,1)",
0.0
],
[
"pass",
0.0
]
],
[
[
"(0,0)",
1.0
],
[
"pass",
0.0
],
[
"(5,7)",
0.0
]
]
],
"files": "/work/pass_2/",
"readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); act_L1.npy .. act_L6.npy (P, 512) the hidden activations after ReLU."
}
}Recorded prompt · Raw CLI events · Settings and audit
Positions pass 2 of 50 done.
```
{"ok": true, "pass": 2, "kind": "positions", "positions": 3, "top3_per_position": [[["(8,7)", 0.998], ["(8,3)", 0.0019], ["pass", 0.0]], [["(8,6)", 1.0], ["(4,1)", 0.0], ["pass", 0.0]], [["(0,0)", 1.0], ["pass", 0.0], ["(5,7)", 0.0]]], "files": "/work/pass_2/", "readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); act_L1.npy .. act_L6.npy (P, 512) the hidden activations after ReLU."}
```
Passes left: 48.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import numpy as np
path="/work/pass_2/"
X=np.load(path+"inputs.npy").reshape(-1,81,3)
logits=np.load(path+"logits.npy")
acts=[np.load(path+"act_L%d.npy"%k) for k in range(1,7)]
for n, candidates in enumerate([[79,75,76],[37,78,71],[0,55,52]]):
print("\nPOSITION",n)
for p in candidates:
print("move",divmod(p,9),"logit",float(logits[n,p]))
for k in range(6):
print(" L",k+1, np.round(acts[k][n,:486].reshape(6,81)[:,p],3).tolist())
r,c=divmod(p,9)
nn=[rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)] if 0<=rr<9 and 0<=cc<9]
print("adjacent stone features:",
[(q,X[n,q,:2].astype(int).tolist(),
np.round(acts[3][n,:486].reshape(6,81)[:,q],2).tolist()) for q in nn])
```{
"t": 1792787983.9297428,
"kind": "python",
"s": 0.72,
"code": "import numpy as np\npath=\"/work/pass_2/\"\nX=np.load(path+\"inputs.npy\").reshape(-1,81,3)\nlogits=np.load(path+\"logits.npy\")\nacts=[np.load(path+\"act_L%d.npy\"%k) for k in range(1,7)]\nfor n, candidates in enumerate([[79,75,76],[37,78,71],[0,55,52]]):\n print(\"\\nPOSITION\",n)\n for p in candidates:\n print(\"move\",divmod(p,9),\"logit\",float(logits[n,p]))\n for k in range(6):\n print(\" L\",k+1, np.round(acts[k][n,:486].reshape(6,81)[:,p],3).tolist())\n r,c=divmod(p,9)\n nn=[rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)] if 0<=rr<9 and 0<=cc<9]\n print(\"adjacent stone features:\",\n [(q,X[n,q,:2].astype(int).tolist(),\n np.round(acts[3][n,:486].reshape(6,81)[:,q],2).tolist()) for q in nn])\n",
"out": "\nPOSITION 0\nmove (8, 7) logit 8.310005187988281\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 5 [0.0, 0.0, 100.51000213623047, 0.0, 1.0, 0.0]\n L 6 [106.51000213623047, 2.0, 0.0, 0.0, 0.0, 0.0]\nadjacent stone features: [(70, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (78, [1, 0], [1.0, 0.0, 1.0, 0.0, 1.0, 0.0]), (80, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\nmove (8, 3) logit 2.05999755859375\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 2.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 5 [0.0, 0.0, 102.05999755859375, 0.0, 0.0, 0.0]\n L 6 [102.05999755859375, 0.0, 0.0, 0.0, 0.0, 0.0]\nadjacent stone features: [(66, [0, 1], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0]), (74, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (76, [0, 0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0])]\nmove (8, 4) logit -5.090003967285156\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 2.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 5 [0.0, 0.0, 103.80999755859375, 1.0, 0.0, 0.0]\n L 6 [96.30999755859375, 0.0, 1.0, 0.0, 0.0, 0.0]\nadjacent stone features: [(67, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 0.0]), (75, [0, 0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (77, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 1.0])]\n\nPOSITION 1\nmove (4, 1) logit -0.9860000610351562\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 5 [0.0, 0.0, 104.91999816894531, 0.0, 0.0, 0.0]\n L 6 [104.91999816894531, 1.7000000476837158, 0.0, 1.2100000381469727, 0.0, 0.5]\nadjacent stone features: [(28, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (46, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (36, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (38, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\nmove (8, 6) logit 13.819999694824219\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0]\n L 5 [0.0, 0.0, 116.33999633789062, 0.0, 0.0, 0.0]\n L 6 [116.33999633789062, 0.0, 1.7999999523162842, 0.0, 0.0, 0.0]\nadjacent stone features: [(69, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 0.0]), (77, [0, 1], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0]), (79, [0, 1], [0.0, 1.0, 0.0, 1.0, 1.0, 3.0])]\nmove (7, 8) logit -5.525001525878906\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 5 [0.0, 0.0, 100.76000213623047, 1.0, 0.0, 0.0]\n L 6 [93.26000213623047, 1.350000023841858, 0.0, 0.0, 0.0, 0.0]\nadjacent stone features: [(62, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (80, [1, 0], [1.0, 0.0, 1.0, 0.0, 1.0, 0.0]), (70, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\n\nPOSITION 2\nmove (0, 0) logit 11.339996337890625\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 5 [0.0, 0.0, 111.33999633789062, 0.0, 0.0, 0.0]\n L 6 [111.33999633789062, 0.0, 0.0, 0.0, 0.0, 0.0]\nadjacent stone features: [(9, [0, 1], [0.0, 1.0, 0.0, 1.0, 0.0, 3.0]), (1, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\nmove (6, 1) logit -16.91400146484375\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0]\n L 5 [0.0, 0.0, 105.7699966430664, 1.0, 0.0, 0.0]\n L 6 [98.2699966430664, 0.4000000059604645, 0.0, 2.8399999141693115, 0.0, 1.0]\nadjacent stone features: [(46, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (64, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (54, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (56, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\nmove (5, 7) logit -9.397003173828125\n L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 3 [0.0, 0.0, 0.0, 0.0, 7.0, 0.0]\n L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n L 5 [0.0, 0.0, 104.08000183105469, 0.0, 0.0, 0.0]\n L 6 [104.08000183105469, 2.3499999046325684, 0.0, 2.869999885559082, 0.0, 1.0]\nadjacent stone features: [(43, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (61, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (51, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (53, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])]\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 4 of at most 120: ``` POSITION 0 move (8, 7) logit 8.310005187988281 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 5 [0.0, 0.0, 100.51000213623047, 0.0, 1.0, 0.0] L 6 [106.51000213623047, 2.0, 0.0, 0.0, 0.0, 0.0] adjacent stone features: [(70, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (78, [1, 0], [1.0, 0.0, 1.0, 0.0, 1.0, 0.0]), (80, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] move (8, 3) logit 2.05999755859375 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 2.0] L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 5 [0.0, 0.0, 102.05999755859375, 0.0, 0.0, 0.0] L 6 [102.05999755859375, 0.0, 0.0, 0.0, 0.0, 0.0] adjacent stone features: [(66, [0, 1], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0]), (74, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (76, [0, 0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0])] move (8, 4) logit -5.090003967285156 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 2.0] L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 5 [0.0, 0.0, 103.80999755859375, 1.0, 0.0, 0.0] L 6 [96.30999755859375, 0.0, 1.0, 0.0, 0.0, 0.0] adjacent stone features: [(67, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 0.0]), (75, [0, 0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (77, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 1.0])] POSITION 1 move (4, 1) logit -0.9860000610351562 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 5 [0.0, 0.0, 104.91999816894531, 0.0, 0.0, 0.0] L 6 [104.91999816894531, 1.7000000476837158, 0.0, 1.2100000381469727, 0.0, 0.5] adjacent stone features: [(28, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (46, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (36, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (38, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] move (8, 6) logit 13.819999694824219 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 0.0, 1.0] L 4 [0.0, 0.0, 0.0, 0.0, 2.0, 0.0] L 5 [0.0, 0.0, 116.33999633789062, 0.0, 0.0, 0.0] L 6 [116.33999633789062, 0.0, 1.7999999523162842, 0.0, 0.0, 0.0] adjacent stone features: [(69, [0, 1], [0.0, 1.0, 0.0, 0.0, 1.0, 0.0]), (77, [0, 1], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0]), (79, [0, 1], [0.0, 1.0, 0.0, 1.0, 1.0, 3.0])] move (7, 8) logit -5.525001525878906 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 5 [0.0, 0.0, 100.76000213623047, 1.0, 0.0, 0.0] L 6 [93.26000213623047, 1.350000023841858, 0.0, 0.0, 0.0, 0.0] adjacent stone features: [(62, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (80, [1, 0], [1.0, 0.0, 1.0, 0.0, 1.0, 0.0]), (70, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] POSITION 2 move (0, 0) logit 11.339996337890625 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 5 [0.0, 0.0, 111.33999633789062, 0.0, 0.0, 0.0] L 6 [111.33999633789062, 0.0, 0.0, 0.0, 0.0, 0.0] adjacent stone features: [(9, [0, 1], [0.0, 1.0, 0.0, 1.0, 0.0, 3.0]), (1, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] move (6, 1) logit -16.91400146484375 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 1.0, 0.0] L 5 [0.0, 0.0, 105.7699966430664, 1.0, 0.0, 0.0] L 6 [98.2699966430664, 0.4000000059604645, 0.0, 2.8399999141693115, 0.0, 1.0] adjacent stone features: [(46, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (64, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (54, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (56, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] move (5, 7) logit -9.397003173828125 L 1 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 2 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 3 [0.0, 0.0, 0.0, 0.0, 7.0, 0.0] L 4 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] L 5 [0.0, 0.0, 104.08000183105469, 0.0, 0.0, 0.0] L 6 [104.08000183105469, 2.3499999046325684, 0.0, 2.869999885559082, 0.0, 1.0] adjacent stone features: [(43, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (61, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (51, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0]), (53, [1, 0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0])] ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
p="/work/policy_design.py"
s=open(p).read()
s=s.replace('temperature_scale=1.0,','temperature_scale=1.8,\n surrounded_penalty=10.0,')
s=s.replace(
' # Layer 6: combine tactics',
''' # Empty points surrounded by friendly stones are normally already
# owned. Preserve them even when diagonal enemies make them false eyes.
for p in range(81):
j = u(5,p)
B[4][j] = 1-len(adj[p])
for q in adj[p]:
W[4][u(0,q),j] = 1
# Layer 6: combine tactics''')
s=s.replace(
'W[5][u(4,p),j] = cfg["rescue"]',
'W[5][u(4,p),j] = cfg["rescue"]\n W[5][u(5,p),j] = -cfg["surrounded_penalty"]')
open(p,"w").write(s)
ns={}
exec(compile(s,p,"exec"),ns)
cfg,tensors=ns["build"](save)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v2.npz",**tensors)
print("Saved v2: protect all friendly surrounds and sharpen the analytic policy.")
```{
"t": 1792788078.7521842,
"kind": "python",
"s": 1.08,
"code": "import json, numpy as np\np=\"/work/policy_design.py\"\ns=open(p).read()\ns=s.replace('temperature_scale=1.0,','temperature_scale=1.8,\\n surrounded_penalty=10.0,')\ns=s.replace(\n ' # Layer 6: combine tactics',\n ''' # Empty points surrounded by friendly stones are normally already\n # owned. Preserve them even when diagonal enemies make them false eyes.\n for p in range(81):\n j = u(5,p)\n B[4][j] = 1-len(adj[p])\n for q in adj[p]:\n W[4][u(0,q),j] = 1\n\n # Layer 6: combine tactics''')\ns=s.replace(\n 'W[5][u(4,p),j] = cfg[\"rescue\"]',\n 'W[5][u(4,p),j] = cfg[\"rescue\"]\\n W[5][u(5,p),j] = -cfg[\"surrounded_penalty\"]')\nopen(p,\"w\").write(s)\nns={}\nexec(compile(s,p,\"exec\"),ns)\ncfg,tensors=ns[\"build\"](save)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v2.npz\",**tensors)\nprint(\"Saved v2: protect all friendly surrounds and sharpen the analytic policy.\")\n",
"out": "Saved v2: protect all friendly surrounds and sharpen the analytic policy.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 5 of at most 120: ``` Saved v2: protect all friendly surrounds and sharpen the analytic policy. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788106.9398625,
"kind": "games",
"k": 3,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 3,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6145833134651184,
"wins": 59,
"losses": 37,
"score_as_black": 0.4583333432674408,
"score_as_white": 0.7708333134651184,
"mean_margin": 14.770833015441895,
"mean_length": 99.73958333333333,
"stones_captured_per_game": 20.020833333333332,
"stones_lost_per_game": 15.770833333333334,
"passes_per_game": 2.4479166666666665,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 88,
"end_repetition": 8,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.9375,
"score_as_white": 0.9375,
"mean_margin": 34.1875,
"mean_length": 97.34375,
"stones_captured_per_game": 26.46875,
"stones_lost_per_game": 3.125,
"passes_per_game": 3.4375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_3/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 3 of 50 done.
```
{"ok": true, "pass": 3, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6145833134651184, "wins": 59, "losses": 37, "score_as_black": 0.4583333432674408, "score_as_white": 0.7708333134651184, "mean_margin": 14.770833015441895, "mean_length": 99.73958333333333, "stones_captured_per_game": 20.020833333333332, "stones_lost_per_game": 15.770833333333334, "passes_per_game": 2.4479166666666665, "games_with_a_pass_before_move_60": 0, "end_two_passes": 88, "end_repetition": 8, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.9375, "score_as_white": 0.9375, "mean_margin": 34.1875, "mean_length": 97.34375, "stones_captured_per_game": 26.46875, "stones_lost_per_game": 3.125, "passes_per_game": 3.4375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_3/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 47.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import os, json, numpy as np
os.system("cp /work/policy_design.py /work/policy_design_v2.py")
source = r'''
import numpy as np
DEFAULTS = dict(
capture=24.0, rescue=8.0, attack=1.15,
self_atari=7.5, eye=16.0, connection=0.9, contact=1.4,
own_territory=1.6, territory_threshold=3.0,
pass_base=-9.0, pass_per_stone=0.10, pass_white=0.35,
own_adj=0.25, own_diag=0.65, own_two=0.40, own_knight=0.12,
enemy_adj=0.75, enemy_diag=0.25, enemy_two=0.12,
temperature_scale=1.8,
)
def build(save, overrides=None):
c=dict(DEFAULTS)
if overrides: c.update(overrides)
W=[np.zeros((243 if k==0 else 512,512),np.float32) for k in range(6)]
B=[np.zeros(512,np.float32) for k in range(6)]
OW=np.zeros((512,82),np.float32); OB=np.zeros(82,np.float32)
def u(ch,p): return 81*ch+p
adj=[]; diag=[]; rings=[]
for p in range(81):
r,s=divmod(p,9)
adj.append([a*9+b for a,b in [(r-1,s),(r+1,s),(r,s-1),(r,s+1)]
if 0<=a<9 and 0<=b<9])
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)]
if 0<=a<9 and 0<=b<9])
rings.append([(q,abs(r-q//9),abs(s-q%9)) for q in range(81) if q!=p])
for p in range(81):
W[0][3*p,u(0,p)]=1; W[0][3*p+1,u(1,p)]=1
for colour in [0,1]:
j=u(2+colour,p)
B[0][j]=len(adj[p])-4
W[0][3*p+colour,j]=4
for q in adj[p]:
W[0][3*q,j]-=1; W[0][3*q+1,j]-=1
# Contact and connection features, directly from the board.
B[0][u(4,p)]=-1; B[0][u(5,p)]=-1
for q in adj[p]:
W[0][3*q+1,u(4,p)]+=1
W[0][3*q,u(4,p)]-=0.75
W[0][3*q,u(5,p)]+=1
for q in diag[p]:
W[0][3*q,u(4,p)]-=0.20
W[0][3*q,u(5,p)]-=0.65
W[0][3*p,486]=1; W[0][3*p+1,487]=1
W[0][2,488]=1
for k in range(1,6):
for g in [486,487,488]: W[k][g,g]=1
def board(k):
for col in [0,1]:
for p in range(81): W[k][u(col,p),u(col,p)]=1
board(1)
line=[-1.5,0.25,1.2,0.9,1.0]
for p in range(81):
for colour in [0,1]:
j=u(2+colour,p)
B[1][j]=-21; W[1][u(colour,p),j]=20
for q in [p]+adj[p]: W[1][u(2+colour,q),j]+=1
j=u(4,p); B[1][j]=-c["territory_threshold"]
for q,dr,dc in rings[p]:
if dr+dc==1: a=1.0
elif dr==dc==1: a=0.65
elif dr+dc==2: a=0.45
elif sorted([dr,dc])==[1,2]: a=0.20
else: continue
W[1][u(0,q),j]+=a; W[1][u(1,q),j]-=1.2*a
j=u(5,p); r,s=divmod(p,9)
B[1][j]=100+line[min(r,8-r)]+line[min(s,8-s)]
W[1][u(4,p),j]=-c["contact"]
W[1][u(5,p),j]=c["connection"]
for q,dr,dc in rings[p]:
if dr+dc==1: a,b=c["own_adj"],c["enemy_adj"]
elif dr==dc==1: a,b=c["own_diag"],c["enemy_diag"]
elif dr+dc==2: a,b=c["own_two"],c["enemy_two"]
elif sorted([dr,dc])==[1,2]: a,b=c["own_knight"],0
else: continue
W[1][u(0,q),j]+=a; W[1][u(1,q),j]+=b
# Propagate liberty evidence for three more layers.
# Conservative analytic upper bounds make every colour gate exact.
for k,gate in [(2,100),(3,500)]:
board(k)
for p in range(81):
for colour in [0,1]:
j=u(2+colour,p)
B[k][j]=-gate; W[k][u(colour,p),j]=gate
for q in [p]+adj[p]: W[k][u(2+colour,q),j]+=1
if k==2:
j=u(4,p); B[k][j]=2-len(adj[p])
for q in adj[p]:
W[k][u(0,q),j]+=1
W[k][u(1,q),j]+=1
W[k][u(2,q),j]-=1
W[k][u(5,p),u(5,p)]=1
W[k][u(4,p),u(5,p)]=-c["own_territory"]
else:
W[k][u(4,p),u(4,p)]=1
W[k][u(5,p),u(5,p)]=1
# Friendly danger now reaches four links; enemy safety reaches four.
board(4)
for p in range(81):
j=u(2,p); W[4][u(0,p),j]=1
for q in [p]+adj[p]: W[4][u(2,q),j]-=1
j=u(3,p); B[4][j]=-2500; W[4][u(1,p),j]=2500
for q in [p]+adj[p]: W[4][u(3,q),j]+=1
W[4][u(4,p),u(4,p)]=1
W[4][u(5,p),u(5,p)]=1
for p in range(81):
W[5][u(5,p),u(0,p)]=1
j=u(1,p)
W[5][u(4,p),j]=-4
for q in adj[p]: W[5][u(2,q),j]+=1
j=u(2,p); W[5][u(1,p),j]=1
for q in [p]+adj[p]: W[5][u(3,q),j]-=1
W[5][u(4,p),u(3,p)]=1
j=u(4,p); B[5][j]=1-len(adj[p])
for q in adj[p]: W[5][u(0,q),j]+=1
j=u(5,p); W[5][u(1,p),j]=3
W[5][u(3,p),j]=-1
for q in adj[p]: W[5][u(3,q),j]-=0.5
OW[u(0,p),p]=1
OW[u(1,p),p]=c["rescue"]
OW[u(3,p),p]=-c["self_atari"]
OW[u(4,p),p]=-c["eye"]
for q in adj[p]:
OW[u(2,q),p]+=c["capture"]
OW[u(5,q),p]+=c["attack"]
OB[p]=-100
OB[81]=c["pass_base"]
OW[486,81]=OW[487,81]=c["pass_per_stone"]
OW[488,81]=c["pass_white"]
OW*=c["temperature_scale"]; OB*=c["temperature_scale"]
ts={}
for k in range(6):
ts["L%d.W"%(k+1)]=W[k]; ts["L%d.b"%(k+1)]=B[k]
ts["out.W"]=OW; ts["out.b"]=OB
for n,a in ts.items():
assert np.isfinite(a).all()
save(n,a)
return c,ts
'''
open("/work/policy_design_v3.py","w").write(source)
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v3.npz",**tensors)
print("Saved v3: longer-range liberty propagation and conservative eye preservation.")
```{
"t": 1792788229.2716553,
"kind": "python",
"s": 1.24,
"code": "import 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",
"out": "Saved v3: longer-range liberty propagation and conservative eye preservation.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 6 of at most 120: ``` Saved v3: longer-range liberty propagation and conservative eye preservation. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788264.6864963,
"kind": "games",
"k": 4,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 4,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.5520833134651184,
"wins": 53,
"losses": 43,
"score_as_black": 0.4583333432674408,
"score_as_white": 0.6458333134651184,
"mean_margin": 12.989583015441895,
"mean_length": 102.98958333333333,
"stones_captured_per_game": 21.489583333333332,
"stones_lost_per_game": 16.979166666666668,
"passes_per_game": 3.5625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 88,
"end_repetition": 8,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.75,
"wins": 24,
"losses": 8,
"score_as_black": 0.625,
"score_as_white": 0.875,
"mean_margin": 27.65625,
"mean_length": 101.15625,
"stones_captured_per_game": 24.6875,
"stones_lost_per_game": 7.34375,
"passes_per_game": 5.15625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 29,
"end_repetition": 3,
"end_move_limit": 0
}
},
"files": "/work/pass_4/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 4 of 50 done.
```
{"ok": true, "pass": 4, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.5520833134651184, "wins": 53, "losses": 43, "score_as_black": 0.4583333432674408, "score_as_white": 0.6458333134651184, "mean_margin": 12.989583015441895, "mean_length": 102.98958333333333, "stones_captured_per_game": 21.489583333333332, "stones_lost_per_game": 16.979166666666668, "passes_per_game": 3.5625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 88, "end_repetition": 8, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.75, "wins": 24, "losses": 8, "score_as_black": 0.625, "score_as_white": 0.875, "mean_margin": 27.65625, "mean_length": 101.15625, "stones_captured_per_game": 24.6875, "stones_lost_per_game": 7.34375, "passes_per_game": 5.15625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 29, "end_repetition": 3, "end_move_limit": 0}}, "files": "/work/pass_4/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 46.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v2.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
config=dict(
own_territory=2.5, territory_threshold=1.5,
own_adj=0.20, own_diag=0.50, own_two=0.70, own_knight=0.30,
enemy_adj=0.70, enemy_diag=0.40, enemy_two=0.25,
)
cfg,tensors=ns["build"](save,config)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v4.npz",**tensors)
print("Saved v4: prioritize outward extension and contested boundaries over interior consolidation.")
print(json.dumps(cfg,indent=2))
```{
"t": 1792788316.8083067,
"kind": "python",
"s": 1.19,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v2.py\").read()\nopen(\"/work/policy_design.py\",\"w\").write(source)\nns={}\nexec(compile(source,\"/work/policy_design.py\",\"exec\"),ns)\nconfig=dict(\n own_territory=2.5, territory_threshold=1.5,\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)\ncfg,tensors=ns[\"build\"](save,config)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v4.npz\",**tensors)\nprint(\"Saved v4: prioritize outward extension and contested boundaries over interior consolidation.\")\nprint(json.dumps(cfg,indent=2))\n",
"out": "Saved v4: prioritize outward extension and contested boundaries over interior consolidation.\n{\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\": 2.5,\n \"enemy_territory\": 1.0,\n \"territory_threshold\": 1.5,\n \"pass_base\": -9.0,\n \"pass_per_stone\": 0.1,\n \"pass_white\": 0.35,\n \"own_adj\": 0.2,\n \"own_diag\": 0.5,\n \"own_two\": 0.7,\n \"own_knight\": 0.3,\n \"enemy_adj\": 0.7,\n \"enemy_diag\": 0.4,\n \"enemy_two\": 0.25,\n \"temperature_scale\": 1.8,\n \"surrounded_penalty\": 10.0\n}\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 7 of at most 120:
```
Saved v4: prioritize outward extension and contested boundaries over interior consolidation.
{
"capture": 9.0,
"rescue": 6.0,
"attack": 1.15,
"self_atari": 7.5,
"eye": 11.0,
"connection": 0.9,
"contact": 1.4,
"own_territory": 2.5,
"enemy_territory": 1.0,
"territory_threshold": 1.5,
"pass_base": -9.0,
"pass_per_stone": 0.1,
"pass_white": 0.35,
"own_adj": 0.2,
"own_diag": 0.5,
"own_two": 0.7,
"own_knight": 0.3,
"enemy_adj": 0.7,
"enemy_diag": 0.4,
"enemy_two": 0.25,
"temperature_scale": 1.8,
"surrounded_penalty": 10.0
}
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788349.923558,
"kind": "games",
"k": 5,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 5,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7395833134651184,
"wins": 71,
"losses": 25,
"score_as_black": 0.6666666865348816,
"score_as_white": 0.8125,
"mean_margin": 24.82291603088379,
"mean_length": 102.85416666666667,
"stones_captured_per_game": 26.958333333333332,
"stones_lost_per_game": 14.479166666666666,
"passes_per_game": 2.5208333333333335,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 85,
"end_repetition": 10,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.9375,
"score_as_white": 0.9375,
"mean_margin": 31.90625,
"mean_length": 93.96875,
"stones_captured_per_game": 23.90625,
"stones_lost_per_game": 4.875,
"passes_per_game": 3.28125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_5/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 5 of 50 done.
```
{"ok": true, "pass": 5, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7395833134651184, "wins": 71, "losses": 25, "score_as_black": 0.6666666865348816, "score_as_white": 0.8125, "mean_margin": 24.82291603088379, "mean_length": 102.85416666666667, "stones_captured_per_game": 26.958333333333332, "stones_lost_per_game": 14.479166666666666, "passes_per_game": 2.5208333333333335, "games_with_a_pass_before_move_60": 0, "end_two_passes": 85, "end_repetition": 10, "end_move_limit": 1}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.9375, "score_as_white": 0.9375, "mean_margin": 31.90625, "mean_length": 93.96875, "stones_captured_per_game": 23.90625, "stones_lost_per_game": 4.875, "passes_per_game": 3.28125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_5/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 45.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v2.py").read()
source=source.replace(
" # Global counts and colour are carried separately.",
''' # A zero-liberty indicator lets the next layer distinguish a
# duplicated single liberty around a bent chain from independent ones.
for p in range(81):
for colour in range(2):
j=u(4+colour,p)
W[0][:,j]=0
B[0][j]=-len(adj[p])
W[0][3*p+colour,j]=1
for q in adj[p]:
W[0][3*q,j]+=1
W[0][3*q+1,j]+=1
# Global counts and colour are carried separately.''')
source=source.replace(
' W[1][u(4+colour,p),u(4+colour,p)] = 1',
''' W[1][u(4+colour,p),j] -= 1
# Independent supplementary safety certificate. A shared
# liberty of two neighbours must lie diagonally from p.
j=u(4+colour,p)
B[1][j]=-21-len(diag[p])
W[1][u(colour,p),j]=20
for q in [p]+adj[p]:
W[1][u(2+colour,q),j]+=1
for q in diag[p]:
W[1][u(0,q),j]+=1
W[1][u(1,q),j]+=1''')
source=source.replace(
' W[2][u(2+colour,q),j] += 1',
''' W[2][u(2+colour,q),j] += 1
W[2][u(4+colour,q),j] += 1''')
open("/work/policy_design_v5.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v5.npz",**tensors)
print("Saved v5: safety certificates that do not mistake duplicated liberties for two eyes.")
```{
"t": 1792788469.4933364,
"kind": "python",
"s": 1.38,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v2.py\").read()\nsource=source.replace(\n \" # Global counts and colour are carried separately.\",\n ''' # A zero-liberty indicator lets the next layer distinguish a\n # duplicated single liberty around a bent chain from independent ones.\n for p in range(81):\n for colour in range(2):\n j=u(4+colour,p)\n W[0][:,j]=0\n B[0][j]=-len(adj[p])\n W[0][3*p+colour,j]=1\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.''')\nsource=source.replace(\n ' W[1][u(4+colour,p),u(4+colour,p)] = 1',\n ''' W[1][u(4+colour,p),j] -= 1\n\n # Independent supplementary safety certificate. A shared\n # liberty of two neighbours must lie diagonally from p.\n j=u(4+colour,p)\n B[1][j]=-21-len(diag[p])\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 for q in diag[p]:\n W[1][u(0,q),j]+=1\n W[1][u(1,q),j]+=1''')\nsource=source.replace(\n ' W[2][u(2+colour,q),j] += 1',\n ''' W[2][u(2+colour,q),j] += 1\n W[2][u(4+colour,q),j] += 1''')\nopen(\"/work/policy_design_v5.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\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_v5.npz\",**tensors)\nprint(\"Saved v5: safety certificates that do not mistake duplicated liberties for two eyes.\")\n",
"out": "Saved v5: safety certificates that do not mistake duplicated liberties for two eyes.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 8 of at most 120: ``` Saved v5: safety certificates that do not mistake duplicated liberties for two eyes. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788523.7961445,
"kind": "games",
"k": 6,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 6,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7291666865348816,
"wins": 70,
"losses": 26,
"score_as_black": 0.75,
"score_as_white": 0.7083333134651184,
"mean_margin": 46.80208206176758,
"mean_length": 112.75,
"stones_captured_per_game": 55.979166666666664,
"stones_lost_per_game": 12.447916666666666,
"passes_per_game": 1.8645833333333333,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 84,
"end_repetition": 12,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.90625,
"wins": 29,
"losses": 3,
"score_as_black": 0.9375,
"score_as_white": 0.875,
"mean_margin": 69.3125,
"mean_length": 115.78125,
"stones_captured_per_game": 71.78125,
"stones_lost_per_game": 3.875,
"passes_per_game": 2.125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 29,
"end_repetition": 3,
"end_move_limit": 0
}
},
"files": "/work/pass_6/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 6 of 50 done.
```
{"ok": true, "pass": 6, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7291666865348816, "wins": 70, "losses": 26, "score_as_black": 0.75, "score_as_white": 0.7083333134651184, "mean_margin": 46.80208206176758, "mean_length": 112.75, "stones_captured_per_game": 55.979166666666664, "stones_lost_per_game": 12.447916666666666, "passes_per_game": 1.8645833333333333, "games_with_a_pass_before_move_60": 0, "end_two_passes": 84, "end_repetition": 12, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.90625, "wins": 29, "losses": 3, "score_as_black": 0.9375, "score_as_white": 0.875, "mean_margin": 69.3125, "mean_length": 115.78125, "stones_captured_per_game": 71.78125, "stones_lost_per_game": 3.875, "passes_per_game": 2.125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 29, "end_repetition": 3, "end_move_limit": 0}}, "files": "/work/pass_6/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 44.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np, collections
for k in [1,3,4,5,6]:
gs=json.load(open("/work/pass_%d/games.json"%k))
print("\nPASS",k)
for op in sorted(set(g["opponent"] for g in gs)):
a=[g for g in gs if g["opponent"]==op]
print(op,dict(collections.Counter((g["end"],g["result"]) for g in a)),
"loss margins",[g["margin"] for g in a if g["result"]<0])
gs=json.load(open("/work/pass_6/games.json"))
bs=np.load("/work/pass_6/boards.npy")
for i,g in enumerate(gs):
if g["end"]=="repetition" and g["result"]<0:
print("\nREPETITION",i,"colour",g["net_color"],"margin",g["margin"])
print(json.dumps(g["moves"][-16:]))
t=len(g["moves"])-1
b=bs[i,t-1]
print("\n".join("".join({0:".",1:"X",-1:"O"}[int(v)] for v in row)
for row in b.reshape(9,9)))
if i>40: break
```{
"t": 1792788544.0145385,
"kind": "python",
"s": 0.93,
"code": "import json, numpy as np, collections\nfor k in [1,3,4,5,6]:\n gs=json.load(open(\"/work/pass_%d/games.json\"%k))\n print(\"\\nPASS\",k)\n for op in sorted(set(g[\"opponent\"] for g in gs)):\n a=[g for g in gs if g[\"opponent\"]==op]\n print(op,dict(collections.Counter((g[\"end\"],g[\"result\"]) for g in a)),\n \"loss margins\",[g[\"margin\"] for g in a if g[\"result\"]<0])\ngs=json.load(open(\"/work/pass_6/games.json\"))\nbs=np.load(\"/work/pass_6/boards.npy\")\nfor i,g in enumerate(gs):\n if g[\"end\"]==\"repetition\" and g[\"result\"]<0:\n print(\"\\nREPETITION\",i,\"colour\",g[\"net_color\"],\"margin\",g[\"margin\"])\n print(json.dumps(g[\"moves\"][-16:]))\n t=len(g[\"moves\"])-1\n b=bs[i,t-1]\n print(\"\\n\".join(\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(v)] for v in row)\n for row in b.reshape(9,9)))\n if i>40: break\n",
"out": "\nPASS 1\nrandom {('two passes', 1): 32} loss margins []\nstrong {('two passes', 1): 36, ('two passes', -1): 26, ('repetition', -1): 1, ('repetition', 1): 1} loss margins [-8.5, -14.5, -9.5, 9.5, -21.5, -8.5, -17.5, -12.5, -27.5, -9.5, -20.5, -22.5, -12.5, -20.5, -19.5, -17.5, -6.5, -3.5, -21.5, -1.5, -24.5, -1.5, -9.5, -1.5, -4.5, -0.5, -2.5]\nweak {('two passes', 1): 29, ('two passes', -1): 3} loss margins [-0.5, -7.5, -11.5]\n\nPASS 3\nstrong {('two passes', 1): 58, ('two passes', -1): 30, ('repetition', -1): 7, ('repetition', 1): 1} loss margins [-13.5, -5.5, -0.5, -18.5, -9.5, 5.5, 0.5, -25.5, -15.5, -20.5, -15.5, -3.5, -2.5, -5.5, -6.5, -2.5, -7.5, -13.5, -4.5, 10.5, -11.5, -1.5, -29.5, 13.5, -11.5, -10.5, -7.5, -10.5, -0.5, 10.5, -8.5, -0.5, -2.5, -9.5, -6.5, -9.5, 45.5]\nweak {('two passes', 1): 30, ('two passes', -1): 1, ('repetition', -1): 1} loss margins [-3.5, 18.5]\n\nPASS 4\nstrong {('two passes', 1): 52, ('two passes', -1): 36, ('repetition', -1): 7, ('repetition', 1): 1} loss margins [-13.5, -24.5, -4.5, -22.5, -2.5, -23.5, -10.5, -16.5, -8.5, -13.5, -30.5, 12.5, -12.5, -10.5, -0.5, 15.5, -8.5, -11.5, -9.5, -20.5, -25.5, -31.5, -9.5, 13.5, -33.5, -17.5, -1.5, -9.5, -1.5, 20.5, -18.5, -4.5, -2.5, -4.5, -7.5, -7.5, -6.5, -1.5, -8.5, -11.5, -2.5, 9.5, -2.5]\nweak {('repetition', -1): 3, ('two passes', -1): 5, ('two passes', 1): 24} loss margins [-15.5, -1.5, -32.5, -1.5, 16.5, -3.5, -1.5, 30.5]\n\nPASS 5\nstrong {('two passes', 1): 70, ('repetition', -1): 9, ('two passes', -1): 15, ('move limit', -1): 1, ('repetition', 1): 1} loss margins [9.5, 37.5, -9.5, -5.5, -50.5, -16.5, -1.5, -11.5, -4.5, -5.5, 11.5, -4.5, -11.5, -7.5, -4.5, -3.5, -4.5, 20.5, -0.5, -4.5, 5.5, -7.5, -7.5, 14.5, 33.5]\nweak {('two passes', 1): 30, ('two passes', -1): 1, ('repetition', -1): 1} loss margins [-17.5, 19.5]\n\nPASS 6\nstrong {('two passes', 1): 68, ('two passes', -1): 16, ('repetition', 1): 2, ('repetition', -1): 10} loss margins [-2.5, -10.5, -5.5, -0.5, -13.5, -5.5, -2.5, -14.5, -17.5, -12.5, -11.5, -5.5, -15.5, 26.5, -2.5, -1.5, -8.5, 2.5, 11.5, 52.5, -5.5, -0.5, -6.5, 10.5, -2.5, -1.5]\nweak {('two passes', 1): 29, ('repetition', -1): 3} loss margins [25.5, 27.5, 30.5]\n\nREPETITION 7 colour black margin -5.5\n[{\"ply\": 55, \"by\": \"opponent\", \"move\": 2}, {\"ply\": 56, \"by\": \"net\", \"move\": 76, \"top5\": [[78, 0.4573], [76, 0.3751], [18, 0.0691], [62, 0.0527], [16, 0.0257]]}, {\"ply\": 57, \"by\": \"opponent\", \"move\": 16}, {\"ply\": 58, \"by\": \"net\", \"move\": 78, \"top5\": [[78, 1.0], [6, 0.0], [18, 0.0], [62, 0.0], [9, 0.0]]}, {\"ply\": 59, \"by\": \"opponent\", \"move\": 5}, {\"ply\": 60, \"by\": \"net\", \"move\": 18, \"top5\": [[18, 0.5104], [62, 0.3896], [9, 0.0492], [63, 0.0133], [73, 0.0133]]}, {\"ply\": 61, \"by\": \"opponent\", \"move\": 7}, {\"ply\": 62, \"by\": \"net\", \"move\": 9, \"top5\": [[9, 0.7841], [62, 0.1943], [63, 0.0066], [73, 0.0066], [71, 0.0049]]}, {\"ply\": 63, \"by\": \"opponent\", \"move\": 1}, {\"ply\": 64, \"by\": \"net\", \"move\": 62, \"top5\": [[62, 0.9011], [63, 0.0308], [73, 0.0308], [71, 0.0225], [64, 0.0076]]}, {\"ply\": 65, \"by\": \"opponent\", \"move\": 79}, {\"ply\": 66, \"by\": \"net\", \"move\": 80, \"top5\": [[80, 1.0], [53, 0.0], [71, 0.0], [63, 0.0], [73, 0.0]]}, {\"ply\": 67, \"by\": \"opponent\", \"move\": 3}, {\"ply\": 68, \"by\": \"net\", \"move\": 53, \"top5\": [[53, 0.848], [63, 0.0565], [73, 0.0565], [13, 0.015], [64, 0.014]]}, {\"ply\": 69, \"by\": \"opponent\", \"move\": 71}, {\"ply\": 70, \"by\": \"net\", \"move\": 62, \"top5\": [[62, 1.0], [63, 0.0], [73, 0.0], [13, 0.0], [64, 0.0]]}]\n.OOOOO.O.\nXO...OXO.\nXOOO.OOOO\nXOXOOO.O.\n.XXXOXOOO\nX.XXOXXO.\n.X.XOXOO.\n..X.XXXXO\n...XX.X.X\n\nREPETITION 9 colour black margin -0.5\n[{\"ply\": 41, \"by\": \"opponent\", \"move\": 2}, {\"ply\": 42, \"by\": \"net\", \"move\": 28, \"top5\": [[28, 0.3706], [1, 0.1466], [25, 0.1171], [10, 0.115], [44, 0.0935]]}, {\"ply\": 43, \"by\": \"opponent\", \"move\": 63}, {\"ply\": 44, \"by\": \"net\", \"move\": 44, \"top5\": [[1, 0.2094], [10, 0.1718], [25, 0.1672], [44, 0.1335], [41, 0.1001]]}, {\"ply\": 45, \"by\": \"opponent\", \"move\": 46}, {\"ply\": 46, \"by\": \"net\", \"move\": 42, \"top5\": [[42, 1.0], [1, 0.0], [10, 0.0], [25, 0.0], [41, 0.0]]}, {\"ply\": 47, \"by\": \"opponent\", \"move\": 54}, {\"ply\": 48, \"by\": \"net\", \"move\": 41, \"top5\": [[41, 0.9996], [50, 0.0002], [1, 0.0001], [10, 0.0001], [3, 0.0]]}, {\"ply\": 49, \"by\": \"opponent\", \"move\": 50}, {\"ply\": 50, \"by\": \"net\", \"move\": 66, \"top5\": [[1, 0.4281], [10, 0.3512], [3, 0.0996], [18, 0.0263], [36, 0.0183]]}, {\"ply\": 51, \"by\": \"opponent\", \"move\": 43}, {\"ply\": 52, \"by\": \"net\", \"move\": 42, \"top5\": [[42, 1.0], [1, 0.0], [10, 0.0], [25, 0.0], [56, 0.0]]}, {\"ply\": 53, \"by\": \"opponent\", \"move\": 18}, {\"ply\": 54, \"by\": \"net\", \"move\": 41, \"top5\": [[41, 1.0], [10, 0.0], [1, 0.0], [56, 0.0], [3, 0.0]]}, {\"ply\": 55, \"by\": \"opponent\", \"move\": 43}, {\"ply\": 56, \"by\": \"net\", \"move\": 42, \"top5\": [[42, 1.0], [10, 0.0], [1, 0.0], [25, 0.0], [56, 0.0]]}]\n..O.X.X..\nO.XX.X.X.\nOXX.XXX..\n.XXXOOOX.\n.OOOO..OX\n.O.OOOOXX\nO...O..O.\nO..X.OOO.\n.........\n\nREPETITION 19 colour black margin -2.5\n[{\"ply\": 37, \"by\": \"opponent\", \"move\": 26}, {\"ply\": 38, \"by\": \"net\", \"move\": 38, \"top5\": [[38, 0.9654], [17, 0.0346], [44, 0.0], [11, 0.0], [19, 0.0]]}, {\"ply\": 39, \"by\": \"opponent\", \"move\": 53}, {\"ply\": 40, \"by\": \"net\", \"move\": 17, \"top5\": [[17, 0.994], [44, 0.006], [61, 0.0], [62, 0.0], [66, 0.0]]}, {\"ply\": 41, \"by\": \"opponent\", \"move\": 16}, {\"ply\": 42, \"by\": \"net\", \"move\": 61, \"top5\": [[44, 0.5232], [61, 0.2266], [62, 0.1008], [66, 0.0537], [11, 0.0469]]}, {\"ply\": 43, \"by\": \"opponent\", \"move\": 70}, {\"ply\": 44, \"by\": \"net\", \"move\": 44, \"top5\": [[44, 1.0], [66, 0.0], [11, 0.0], [65, 0.0], [56, 0.0]]}, {\"ply\": 45, \"by\": \"opponent\", \"move\": 26}, {\"ply\": 46, \"by\": \"net\", \"move\": 62, \"top5\": [[62, 0.6726], [25, 0.3274], [66, 0.0], [11, 0.0], [65, 0.0]]}, {\"ply\": 47, \"by\": \"opponent\", \"move\": 71}, {\"ply\": 48, \"by\": \"net\", \"move\": 25, \"top5\": [[25, 1.0], [66, 0.0], [11, 0.0], [65, 0.0], [56, 0.0]]}, {\"ply\": 49, \"by\": \"opponent\", \"move\": 64}, {\"ply\": 50, \"by\": \"net\", \"move\": 24, \"top5\": [[24, 0.8907], [56, 0.0572], [65, 0.0389], [66, 0.0077], [11, 0.0043]]}, {\""
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 9 of at most 120:
```
PASS 1
random {('two passes', 1): 32} loss margins []
strong {('two passes', 1): 36, ('two passes', -1): 26, ('repetition', -1): 1, ('repetition', 1): 1} loss margins [-8.5, -14.5, -9.5, 9.5, -21.5, -8.5, -17.5, -12.5, -27.5, -9.5, -20.5, -22.5, -12.5, -20.5, -19.5, -17.5, -6.5, -3.5, -21.5, -1.5, -24.5, -1.5, -9.5, -1.5, -4.5, -0.5, -2.5]
weak {('two passes', 1): 29, ('two passes', -1): 3} loss margins [-0.5, -7.5, -11.5]
PASS 3
strong {('two passes', 1): 58, ('two passes', -1): 30, ('repetition', -1): 7, ('repetition', 1): 1} loss margins [-13.5, -5.5, -0.5, -18.5, -9.5, 5.5, 0.5, -25.5, -15.5, -20.5, -15.5, -3.5, -2.5, -5.5, -6.5, -2.5, -7.5, -13.5, -4.5, 10.5, -11.5, -1.5, -29.5, 13.5, -11.5, -10.5, -7.5, -10.5, -0.5, 10.5, -8.5, -0.5, -2.5, -9.5, -6.5, -9.5, 45.5]
weak {('two passes', 1): 30, ('two passes', -1): 1, ('repetition', -1): 1} loss margins [-3.5, 18.5]
PASS 4
strong {('two passes', 1): 52, ('two passes', -1): 36, ('repetition', -1): 7, ('repetition', 1): 1} loss margins [-13.5, -24.5, -4.5, -22.5, -2.5, -23.5, -10.5, -16.5, -8.5, -13.5, -30.5, 12.5, -12.5, -10.5, -0.5, 15.5, -8.5, -11.5, -9.5, -20.5, -25.5, -31.5, -9.5, 13.5, -33.5, -17.5, -1.5, -9.5, -1.5, 20.5, -18.5, -4.5, -2.5, -4.5, -7.5, -7.5, -6.5, -1.5, -8.5, -11.5, -2.5, 9.5, -2.5]
weak {('repetition', -1): 3, ('two passes', -1): 5, ('two passes', 1): 24} loss margins [-15.5, -1.5, -32.5, -1.5, 16.5, -3.5, -1.5, 30.5]
PASS 5
strong {('two passes', 1): 70, ('repetition', -1): 9, ('two passes', -1): 15, ('move limit', -1): 1, ('repetition', 1): 1} loss margins [9.5, 37.5, -9.5, -5.5, -50.5, -16.5, -1.5, -11.5, -4.5, -5.5, 11.5, -4.5, -11.5, -7.5, -4.5, -3.5, -4.5, 20.5, -0.5, -4.5, 5.5, -7.5, -7.5, 14.5, 33.5]
weak {('two passes', 1): 30, ('two passes', -1): 1, ('repetition', -1): 1} loss margins [-17.5, 19.5]
PASS 6
strong {('two passes', 1): 68, ('two passes', -1): 16, ('repetition', 1): 2, ('repetition', -1): 10} loss margins [-2.5, -10.5, -5.5, -0.5, -13.5, -5.5, -2.5, -14.5, -17.5, -12.5, -11.5, -5.5, -15.5, 26.5, -2.5, -1.5, -8.5, 2.5, 11.5, 52.5, -5.5, -0.5, -6.5, 10.5, -2.5, -1.5]
weak {('two passes', 1): 29, ('repetition', -1): 3} loss margins [25.5, 27.5, 30.5]
REPETITION 7 colour black margin -5.5
[{"ply": 55, "by": "opponent", "move": 2}, {"ply": 56, "by": "net", "move": 76, "top5": [[78, 0.4573], [76, 0.3751], [18, 0.0691], [62, 0.0527], [16, 0.0257]]}, {"ply": 57, "by": "opponent", "move": 16}, {"ply": 58, "by": "net", "move": 78, "top5": [[78, 1.0], [6, 0.0], [18, 0.0], [62, 0.0], [9, 0.0]]}, {"ply": 59, "by": "opponent", "move": 5}, {"ply": 60, "by": "net", "move": 18, "top5": [[18, 0.5104], [62, 0.3896], [9, 0.0492], [63, 0.0133], [73, 0.0133]]}, {"ply": 61, "by": "opponent", "move": 7}, {"ply": 62, "by": "net", "move": 9, "top5": [[9, 0.7841], [62, 0.1943], [63, 0.0066], [73, 0.0066], [71, 0.0049]]}, {"ply": 63, "by": "opponent", "move": 1}, {"ply": 64, "by": "net", "move": 62, "top5": [[62, 0.9011], [63, 0.0308], [73, 0.0308], [71, 0.0225], [64, 0.0076]]}, {"ply": 65, "by": "opponent", "move": 79}, {"ply": 66, "by": "net", "move": 80, "top5": [[80, 1.0], [53, 0.0], [71, 0.0], [63, 0.0], [73, 0.0]]}, {"ply": 67, "by": "opponent", "move": 3}, {"ply": 68, "by": "net", "move": 53, "top5": [[53, 0.848], [63, 0.0565], [73, 0.0565], [13, 0.015], [64, 0.014]]}, {"ply": 69, "by": "opponent", "move": 71}, {"ply": 70, "by": "net", "move": 62, "top5": [[62, 1.0], [63, 0.0], [73, 0.0], [13, 0.0], [64, 0.0]]}]
.OOOOO.O.
XO...OXO.
XOOO.OOOO
XOXOOO.O.
.XXXOXOOO
X.XXOXXO.
.X.XOXOO.
..X.XXXXO
...XX.X.X
REPETITION 9 colour black margin -0.5
[{"ply": 41, "by": "opponent", "move": 2}, {"ply": 42, "by": "net", "move": 28, "top5": [[28, 0.3706], [1, 0.1466], [25, 0.1171], [10, 0.115], [44, 0.0935]]}, {"ply": 43, "by": "opponent", "move": 63}, {"ply": 44, "by": "net", "move": 44, "top5": [[1, 0.2094], [10, 0.1718], [25, 0.1672], [44, 0.1335], [41, 0.1001]]}, {"ply": 45, "by": "opponent", "move": 46}, {"ply": 46, "by": "net", "move": 42, "top5": [[42, 1.0], [1, 0.0], [10, 0.0], [25, 0.0], [41, 0.0]]}, {"ply": 47, "by": "opponent", "move": 54}, {"ply": 48, "by": "net", "move": 41, "top5": [[41, 0.9996], [50, 0.0002], [1, 0.0001], [10, 0.0001], [3, 0.0]]}, {"ply": 49, "by": "opponent", "move": 50}, {"ply": 50, "by": "net", "move": 66, "top5": [[1, 0.4281], [10, 0.3512], [3, 0.0996], [18, 0.0263], [36, 0.0183]]}, {"ply": 51, "by": "opponent", "move": 43}, {"ply": 52, "by": "net", "move": 42, "top5": [[42, 1.0], [1, 0.0], [10, 0.0], [25, 0.0], [56, 0.0]]}, {"ply": 53, "by": "opponent", "move": 18}, {"ply": 54, "by": "net", "move": 41, "top5": [[41, 1.0], [10, 0.0], [1, 0.0], [56, 0.0], [3, 0.0]]}, {"ply": 55, "by": "opponent", "move": 43}, {"ply": 56, "by": "net", "move": 42, "top5": [[42, 1.0], [10, 0.0], [1, 0.0], [25, 0.0], [56, 0.0]]}]
..O.X.X..
O.XX.X.X.
OXX.XXX..
.XXXOOOX.
.OOOO..OX
.O.OOOOXX
O...O..O.
O..X.OOO.
.........
REPETITION 19 colour black margin -2.5
[{"ply": 37, "by": "opponent", "move": 26}, {"ply": 38, "by": "net", "move": 38, "top5": [[38, 0.9654], [17, 0.0346], [44, 0.0], [11, 0.0], [19, 0.0]]}, {"ply": 39, "by": "opponent", "move": 53}, {"ply": 40, "by": "net", "move": 17, "top5": [[17, 0.994], [44, 0.006], [61, 0.0], [62, 0.0], [66, 0.0]]}, {"ply": 41, "by": "opponent", "move": 16}, {"ply": 42, "by": "net", "move": 61, "top5": [[44, 0.5232], [61, 0.2266], [62, 0.1008], [66, 0.0537], [11, 0.0469]]}, {"ply": 43, "by": "opponent", "move": 70}, {"ply": 44, "by": "net", "move": 44, "top5": [[44, 1.0], [66, 0.0], [11, 0.0], [65, 0.0], [56, 0.0]]}, {"ply": 45, "by": "opponent", "move": 26}, {"ply": 46, "by": "net", "move": 62, "top5": [[62, 0.6726], [25, 0.3274], [66, 0.0], [11, 0.0], [65, 0.0]]}, {"ply": 47, "by": "opponent", "move": 71}, {"ply": 48, "by": "net", "move": 25, "top5": [[25, 1.0], [66, 0.0], [11, 0.0], [65, 0.0], [56, 0.0]]}, {"ply": 49, "by": "opponent", "move": 64}, {"ply": 50, "by": "net", "move": 24, "top5": [[24, 0.8907], [56, 0.0572], [65, 0.0389], [66, 0.0077], [11, 0.0043]]}, {"ply": 51, "by": "opponent", "move": 26}, {"ply": 52, "by": "net", "move": 25, "top5": [[25, 1.0], [56, 0.0], [65, 0.0], [66, 0.0], [11, 0.0]]}]
.......O.
...XXOOOX
..XOOO..O
.X.XXOOOX
.XXXOXOXX
...XOXXX.
.X.XOOOXX
.O..OO.OO
.........
REPETITION 44 colour black margin -5.5
[{"ply": 75, "by": "opponent", "move": 63}, {"ply": 76, "by": "net", "move": 54, "top5": [[54, 1.0], [5, 0.0], [3, 0.0], [73, 0.0], [10, 0.0]]}, {"ply": 77, "by": "opponent", "move": 19}, {"ply": 78, "by": "net", "move": 10, "top5": [[5, 0.3382], [10, 0.2825], [18, 0.2359], [3, 0.1148], [11, 0.0272]]}, {"ply": 79, "by": "opponent", "move": 5}, {"ply": 80, "by": "net", "move": 3, "top5": [[18, 0.6525], [3, 0.3475], [2, 0.0], [11, 0.0], [12, 0.0]]}, {"ply": 81, "by": "opponent", "move": 73}, {"ply": 82, "by": "net", "move": 18, "top5": [[18, 0.6192], [74, 0.3808], [43, 0.0], [2, 0.0], [11, 0.0]]}, {"ply": 83, "by": "opponent", "move": 43}, {"ply": 84, "by": "net", "move": 74, "top5": [[74, 1.0], [2, 0.0], [53, 0.0], [1, 0.0], [12, 0.0]]}, {"ply": 85, "by": "opponent", "move": 12}, {"ply": 86, "by": "net", "move": 11, "top5": [[11, 1.0], [2, 0.0], [75, 0.0], [1, 0.0], [53, 0.0]]}, {"ply": 87, "by": "opponent", "move": 53}, {"ply": 88, "by": "net", "move": 75, "top5": [[75, 0.9768], [2, 0.0106], [0, 0.006], [1, 0.0038], [9, 0.0023]]}, {"ply": 89, "by": "opponent", "move": 73}, {"ply": 90, "by": "net", "move": 74, "top5": [[74, 1.0], [2, 0.0], [0, 0.0], [1, 0.0], [9, 0.0]]}]
...XOOOO.
.XX.XXXOO
X.XXXOOO.
.X.XOXOOO
XXXXOX.O.
X.XXOOOOO
XXXOOXXO.
.XOOOO.OO
XO..O.OO.
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v5.py").read()
source=source.replace(
" # Layer 4: approximate whole-group atari, self-atari, weak enemies.",
''' # The unused opponent-extension channel instead detects exactly
# an enemy singleton with one liberty.
for p in range(81):
j=u(5,p)
W[2][:,j]=0
B[2][j]=-len(adj[p])
W[2][u(1,p),j]=2
for q in adj[p]:
W[2][u(0,q),j]+=1
W[2][u(1,q),j]-=1
# Layer 4: approximate whole-group atari, self-atari, weak enemies.''')
source=source.replace(
" # Layer 5: spatial prior, captures, attack, safe rescue, and",
''' # Avoid isolated singleton recaptures with at most one other
# liberty. These are common ko/snapback repetition traps.
for p in range(81):
j=u(5,p)
W[3][:,j]=0
B[3][j]=-len(adj[p])
for q in adj[p]:
W[3][u(5,q),j]+=2
W[3][u(0,q),j]-=3
W[3][u(1,q),j]+=1
# Layer 5: spatial prior, captures, attack, safe rescue, and''')
source=source.replace(
' W[4][u(5,q),j] += cfg["attack"]',
' W[4][u(5,p),j] -= cfg.get("repeat_risk",18.0)')
# The replacement above puts a single risk term after the adjacency loop.
source=source.replace("temperature_scale=1.8,",
"temperature_scale=1.8,\n repeat_risk=18.0,")
cfg=json.load(open("/work/policy_config.json"))
cfg.update(capture=12.5, repeat_risk=18.0)
open("/work/policy_design_v6.py","w").write(source)
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v6.npz",**tensors)
print("Saved v6: explicit singleton ko/snapback risk avoidance.")
```{
"t": 1792788855.262993,
"kind": "python",
"s": 1.12,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v5.py\").read()\nsource=source.replace(\n \" # Layer 4: approximate whole-group atari, self-atari, weak enemies.\",\n ''' # The unused opponent-extension channel instead detects exactly\n # an enemy singleton with one liberty.\n for p in range(81):\n j=u(5,p)\n W[2][:,j]=0\n 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\n W[2][u(1,q),j]-=1\n\n # Layer 4: approximate whole-group atari, self-atari, weak enemies.''')\nsource=source.replace(\n \" # Layer 5: spatial prior, captures, attack, safe rescue, and\",\n ''' # Avoid isolated singleton recaptures with at most one other\n # liberty. These are common ko/snapback repetition traps.\n for p in range(81):\n j=u(5,p)\n W[3][:,j]=0\n B[3][j]=-len(adj[p])\n for q in adj[p]:\n W[3][u(5,q),j]+=2\n W[3][u(0,q),j]-=3\n W[3][u(1,q),j]+=1\n\n # Layer 5: spatial prior, captures, attack, safe rescue, and''')\nsource=source.replace(\n ' W[4][u(5,q),j] += cfg[\"attack\"]',\n ' W[4][u(5,p),j] -= cfg.get(\"repeat_risk\",18.0)')\n# The replacement above puts a single risk term after the adjacency loop.\nsource=source.replace(\"temperature_scale=1.8,\",\n \"temperature_scale=1.8,\\n repeat_risk=18.0,\")\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(capture=12.5, repeat_risk=18.0)\nopen(\"/work/policy_design_v6.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,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v6.npz\",**tensors)\nprint(\"Saved v6: explicit singleton ko/snapback risk avoidance.\")\n",
"out": "Saved v6: explicit singleton ko/snapback risk avoidance.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 10 of at most 120: ``` Saved v6: explicit singleton ko/snapback risk avoidance. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788890.6598353,
"kind": "games",
"k": 7,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 7,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6145833134651184,
"wins": 59,
"losses": 37,
"score_as_black": 0.5416666865348816,
"score_as_white": 0.6875,
"mean_margin": 33.47916793823242,
"mean_length": 111.19791666666667,
"stones_captured_per_game": 48.625,
"stones_lost_per_game": 14.03125,
"passes_per_game": 2.0,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 92,
"end_repetition": 4,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.9375,
"score_as_white": 0.9375,
"mean_margin": 65.65625,
"mean_length": 120.1875,
"stones_captured_per_game": 75.625,
"stones_lost_per_game": 4.4375,
"passes_per_game": 2.5,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_7/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 7 of 50 done.
```
{"ok": true, "pass": 7, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6145833134651184, "wins": 59, "losses": 37, "score_as_black": 0.5416666865348816, "score_as_white": 0.6875, "mean_margin": 33.47916793823242, "mean_length": 111.19791666666667, "stones_captured_per_game": 48.625, "stones_lost_per_game": 14.03125, "passes_per_game": 2.0, "games_with_a_pass_before_move_60": 0, "end_two_passes": 92, "end_repetition": 4, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.9375, "score_as_white": 0.9375, "mean_margin": 65.65625, "mean_length": 120.1875, "stones_captured_per_game": 75.625, "stones_lost_per_game": 4.4375, "passes_per_game": 2.5, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_7/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 43.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v5.py").read()
source=source.replace(
" # Layer 4: approximate whole-group atari, self-atari, weak enemies.",
''' # Exact one-stone capture detector in a previously unused channel.
for p in range(81):
j=u(5,p)
W[2][:,j]=0
B[2][j]=-len(adj[p])
W[2][u(1,p),j]=2
for q in adj[p]:
W[2][u(0,q),j]+=1
W[2][u(1,q),j]-=1
# Layer 4: approximate whole-group atari, self-atari, weak enemies.''')
patch=r'''
# At layer 4, encode own/empty/enemy as 1, 1/2, 0. This frees
# a full channel for repetition-risk detection without losing attack.
for p in range(81):
old_weak=W[3][:,u(5,p)].copy()
old_bias=B[3][u(5,p)]
W[3][:,u(1,p)]=old_weak
B[3][u(1,p)]=old_bias
W[3][:,u(0,p)]=0
B[3][u(0,p)]=0.5
W[3][u(0,p),u(0,p)]=0.5
W[3][u(1,p),u(0,p)]=-0.5
j=u(5,p)
W[3][:,j]=0
B[3][j]=-len(adj[p])
for q in adj[p]:
W[3][u(5,q),j]+=2
W[3][u(0,q),j]-=3
W[3][u(1,q),j]+=1
# Decode the board for the final shape layer.
for ch,sign,bias in [(0,2,-1),(1,-2,1)]:
j=u(ch,p)
W[4][:,j]=0
B[4][j]=bias
W[4][u(0,p),j]=sign
# Tactical score only here; move the spatial prior to layer 6.
j=u(2,p)
W[4][:,j]=0
B[4][j]=100
for q in adj[p]:
W[4][u(3,q),j]+=cfg["capture"]
W[4][u(1,q),j]+=cfg["attack"]
W[4][u(5,p),j]-=cfg.get("repeat_risk",18.0)
j=u(5,p)
W[4][:,j]=0
B[4][j]=1-2*len(adj[p])
for q in adj[p]:
W[4][u(0,q),j]=2
j=u(0,p)
r,c=divmod(p,9)
B[5][j]=line_prior[min(r,8-r)]+line_prior[min(c,8-c)]
for q,dr,dc in rings[p]:
if dr+dc==1:
a,b=cfg["own_adj"],cfg["enemy_adj"]
elif dr==dc==1:
a,b=cfg["own_diag"],cfg["enemy_diag"]
elif dr+dc==2:
a,b=cfg["own_two"],cfg["enemy_two"]
elif sorted([dr,dc])==[1,2]:
a,b=cfg["own_knight"],0.0
else:
continue
W[5][u(0,q),j]+=a
W[5][u(1,q),j]+=b
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v7.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(capture=9.0,repeat_risk=18.0)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v7.npz",**tensors)
print("Saved v7: packed colour channel preserves weak-group attacks while avoiding ko/snapback traps.")
```{
"t": 1792788951.8982124,
"kind": "python",
"s": 1.02,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v5.py\").read()\nsource=source.replace(\n \" # Layer 4: approximate whole-group atari, self-atari, weak enemies.\",\n ''' # Exact one-stone capture detector in a previously unused channel.\n for p in range(81):\n j=u(5,p)\n W[2][:,j]=0\n 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\n W[2][u(1,q),j]-=1\n\n # Layer 4: approximate whole-group atari, self-atari, weak enemies.''')\npatch=r'''\n # At layer 4, encode own/empty/enemy as 1, 1/2, 0. This frees\n # a full channel for repetition-risk detection without losing attack.\n for p in range(81):\n old_weak=W[3][:,u(5,p)].copy()\n old_bias=B[3][u(5,p)]\n W[3][:,u(1,p)]=old_weak\n B[3][u(1,p)]=old_bias\n W[3][:,u(0,p)]=0\n B[3][u(0,p)]=0.5\n W[3][u(0,p),u(0,p)]=0.5\n W[3][u(1,p),u(0,p)]=-0.5\n\n j=u(5,p)\n W[3][:,j]=0\n B[3][j]=-len(adj[p])\n for q in adj[p]:\n W[3][u(5,q),j]+=2\n W[3][u(0,q),j]-=3\n W[3][u(1,q),j]+=1\n\n # Decode the board for the final shape layer.\n for ch,sign,bias in [(0,2,-1),(1,-2,1)]:\n j=u(ch,p)\n W[4][:,j]=0\n B[4][j]=bias\n W[4][u(0,p),j]=sign\n\n # Tactical score only here; move the spatial prior to layer 6.\n j=u(2,p)\n W[4][:,j]=0\n B[4][j]=100\n for q in adj[p]:\n W[4][u(3,q),j]+=cfg[\"capture\"]\n W[4][u(1,q),j]+=cfg[\"attack\"]\n W[4][u(5,p),j]-=cfg.get(\"repeat_risk\",18.0)\n\n j=u(5,p)\n W[4][:,j]=0\n B[4][j]=1-2*len(adj[p])\n for q in adj[p]:\n W[4][u(0,q),j]=2\n\n j=u(0,p)\n r,c=divmod(p,9)\n B[5][j]=line_prior[min(r,8-r)]+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==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[5][u(0,q),j]+=a\n W[5][u(1,q),j]+=b\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v7.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(capture=9.0,repeat_risk=18.0)\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_v7.npz\",**tensors)\nprint(\"Saved v7: packed colour channel preserves weak-group attacks while avoiding ko/snapback traps.\")\n",
"out": "Saved v7: packed colour channel preserves weak-group attacks while avoiding ko/snapback traps.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 11 of at most 120: ``` Saved v7: packed colour channel preserves weak-group attacks while avoiding ko/snapback traps. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792788985.3287807,
"kind": "games",
"k": 8,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 8,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7916666865348816,
"wins": 76,
"losses": 20,
"score_as_black": 0.6666666865348816,
"score_as_white": 0.9166666865348816,
"mean_margin": 45.61458206176758,
"mean_length": 114.44791666666667,
"stones_captured_per_game": 60.135416666666664,
"stones_lost_per_game": 11.947916666666666,
"passes_per_game": 2.15625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 91,
"end_repetition": 3,
"end_move_limit": 2
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 0.9375,
"score_as_white": 1.0,
"mean_margin": 59.21875,
"mean_length": 111.71875,
"stones_captured_per_game": 64.09375,
"stones_lost_per_game": 3.03125,
"passes_per_game": 2.5,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_8/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 8 of 50 done.
```
{"ok": true, "pass": 8, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7916666865348816, "wins": 76, "losses": 20, "score_as_black": 0.6666666865348816, "score_as_white": 0.9166666865348816, "mean_margin": 45.61458206176758, "mean_length": 114.44791666666667, "stones_captured_per_game": 60.135416666666664, "stones_lost_per_game": 11.947916666666666, "passes_per_game": 2.15625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 91, "end_repetition": 3, "end_move_limit": 2}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 0.9375, "score_as_white": 1.0, "mean_margin": 59.21875, "mean_length": 111.71875, "stones_captured_per_game": 64.09375, "stones_lost_per_game": 3.03125, "passes_per_game": 2.5, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_8/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 42.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# Komi-aware territorial ambition: Black needs more than half the
# board, while White can consolidate a more modest share.
for p in range(81):
B[5][u(3,p)]=-cfg.get("black_territory_threshold",0.75)
W[5][488,u(3,p)]=(
cfg.get("black_territory_threshold",0.75)
-cfg.get("white_territory_threshold",1.5))
# Passing is safer when materially ahead, riskier when behind.
lead=cfg.get("pass_lead",0.10)
OW[486,81]+=lead
OW[487,81]-=lead
OB[81]-=7.5*lead
OW[488,81]+=15.0*lead
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v8.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(black_territory_threshold=0.75,white_territory_threshold=1.5,pass_lead=0.10)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v8.npz",**tensors)
print("Saved v8: komi-aware expansion and material-aware passing.")
```{
"t": 1792789082.8835452,
"kind": "python",
"s": 1.06,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # Komi-aware territorial ambition: Black needs more than half the\n # board, while White can consolidate a more modest share.\n for p in range(81):\n B[5][u(3,p)]=-cfg.get(\"black_territory_threshold\",0.75)\n W[5][488,u(3,p)]=(\n cfg.get(\"black_territory_threshold\",0.75)\n -cfg.get(\"white_territory_threshold\",1.5))\n\n # Passing is safer when materially ahead, riskier when behind.\n lead=cfg.get(\"pass_lead\",0.10)\n OW[486,81]+=lead\n OW[487,81]-=lead\n OB[81]-=7.5*lead\n OW[488,81]+=15.0*lead\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v8.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(black_territory_threshold=0.75,white_territory_threshold=1.5,pass_lead=0.10)\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_v8.npz\",**tensors)\nprint(\"Saved v8: komi-aware expansion and material-aware passing.\")\n",
"out": "Saved v8: komi-aware expansion and material-aware passing.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 12 of at most 120: ``` Saved v8: komi-aware expansion and material-aware passing. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789115.477951,
"kind": "games",
"k": 9,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 9,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7291666865348816,
"wins": 70,
"losses": 26,
"score_as_black": 0.6875,
"score_as_white": 0.7708333134651184,
"mean_margin": 42.88541793823242,
"mean_length": 116.72916666666667,
"stones_captured_per_game": 57.739583333333336,
"stones_lost_per_game": 15.84375,
"passes_per_game": 3.0729166666666665,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 1,
"end_move_limit": 2
},
"weak": {
"games": 32,
"score": 0.90625,
"wins": 29,
"losses": 3,
"score_as_black": 0.875,
"score_as_white": 0.9375,
"mean_margin": 66.59375,
"mean_length": 119.78125,
"stones_captured_per_game": 79.625,
"stones_lost_per_game": 5.0625,
"passes_per_game": 2.875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_9/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 9 of 50 done.
```
{"ok": true, "pass": 9, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7291666865348816, "wins": 70, "losses": 26, "score_as_black": 0.6875, "score_as_white": 0.7708333134651184, "mean_margin": 42.88541793823242, "mean_length": 116.72916666666667, "stones_captured_per_game": 57.739583333333336, "stones_lost_per_game": 15.84375, "passes_per_game": 3.0729166666666665, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 1, "end_move_limit": 2}, "weak": {"games": 32, "score": 0.90625, "wins": 29, "losses": 3, "score_as_black": 0.875, "score_as_white": 0.9375, "mean_margin": 66.59375, "mean_length": 119.78125, "stones_captured_per_game": 79.625, "stones_lost_per_game": 5.0625, "passes_per_game": 2.875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_9/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 41.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np, collections
g=json.load(open("/work/pass_9/games.json"))
b=np.load("/work/pass_9/boards.npy")
print("Loss breakdown",dict(collections.Counter((x["net_color"],x["end"]) for x in g
if x["opponent"]=="strong" and x["result"]<0)))
for i,x in enumerate(g):
if x["opponent"]!="strong" or x["result"]>0 or x["net_color"]!="black":
continue
print("\nGAME",i,"margin",x["margin"],"lost",x["stones_lost_by_net"],
"captured",x["stones_captured_by_net"],"end",x["end"])
for t in [19,39,59,len(x["moves"])-1]:
if t>=len(x["moves"]): continue
print("after",t+1)
bb=b[i,t].reshape(9,9)
print("\n".join("".join({0:".",1:"X",-1:"O"}[int(z)] for z in row) for row in bb))
print("last net moves",[m for m in x["moves"][-10:] if m["by"]=="net"])
if i>=10: break
```{
"t": 1792789144.077125,
"kind": "python",
"s": 0.74,
"code": "import json, numpy as np, collections\ng=json.load(open(\"/work/pass_9/games.json\"))\nb=np.load(\"/work/pass_9/boards.npy\")\nprint(\"Loss breakdown\",dict(collections.Counter((x[\"net_color\"],x[\"end\"]) for x in g\n if x[\"opponent\"]==\"strong\" and x[\"result\"]<0)))\nfor i,x in enumerate(g):\n if x[\"opponent\"]!=\"strong\" or x[\"result\"]>0 or x[\"net_color\"]!=\"black\":\n continue\n print(\"\\nGAME\",i,\"margin\",x[\"margin\"],\"lost\",x[\"stones_lost_by_net\"],\n \"captured\",x[\"stones_captured_by_net\"],\"end\",x[\"end\"])\n for t in [19,39,59,len(x[\"moves\"])-1]:\n if t>=len(x[\"moves\"]): continue\n print(\"after\",t+1)\n bb=b[i,t].reshape(9,9)\n print(\"\\n\".join(\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(z)] for z in row) for row in bb))\n print(\"last net moves\",[m for m in x[\"moves\"][-10:] if m[\"by\"]==\"net\"])\n if i>=10: break\n",
"out": "Loss breakdown {('black', 'two passes'): 13, ('black', 'move limit'): 1, ('black', 'repetition'): 1, ('white', 'two passes'): 11}\n\nGAME 6 margin -4.5 lost 22 captured 16 end two passes\nafter 20\n.........\n......O..\n...OXXX..\n..XXOO...\n..XOO....\n..XOO....\n..XOXX...\n....O....\n.........\nafter 40\n....X....\n...X.XOX.\n..X.XXXO.\n..XXOOOO.\n..XOOXOX.\n..XOOXX..\n..XOXXX..\n..OOOOOO.\n.........\nafter 60\n..X.X.X.X\n...X.X.XO\nO.X.XXXOO\n.OXXOOOOO\n.XXOO.O.O\n..XOO....\n.XXO...O.\n.XOOOOOOO\n..X...O..\nafter 109\nX.X.X.XOO\nXX.X.XOOO\n.XX.XXXOO\nX.XXOOOOO\nXXXOO.O.O\nX.XOOOXOO\nXXXO.XXOO\n.XOOOOOOO\nXXX.OOO..\nlast net moves [{'ply': 100, 'by': 'net', 'move': 74, 'top5': [[74, 1.0], [81, 0.0], [75, 0.0], [79, 0.0], [80, 0.0]]}, {'ply': 102, 'by': 'net', 'move': 73, 'top5': [[73, 0.5314], [75, 0.4685], [81, 0.0], [72, 0.0], [79, 0.0]]}, {'ply': 104, 'by': 'net', 'move': 72, 'top5': [[72, 1.0], [6, 0.0], [75, 0.0], [81, 0.0], [79, 0.0]]}, {'ply': 106, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [79, 0.0], [80, 0.0], [75, 0.0]]}, {'ply': 108, 'by': 'net', 'move': 81, 'top5': [[81, 0.7941], [5, 0.2059], [79, 0.0], [80, 0.0], [75, 0.0]]}]\n\nGAME 9 margin -0.5 lost 11 captured 9 end two passes\nafter 20\n.........\n..X......\n..XOX....\n..OOOO...\n..X.OX...\n...OOX...\n..XXOXX..\n....O....\n.........\nafter 40\n...X.....\n.XXOX....\nX.XOXOOO.\n.XOOOOXO.\n.OXXOXXX.\n..XOOX...\n..XXOXX..\n..OOOO...\n.........\nafter 60\n..O..O...\nOXXO..O..\nX.XO.OOO.\n.XOOOOXOX\nX.XXOXXXO\n.XXOOX.X.\nXXXXOXXO.\nOXOOOOXO.\n.........\nafter 91\nXXOO.O.X.\n.XXOXOOO.\nX.XOXOOOO\n.XOOOOXOO\nX.XXOXXXO\n.XXOOX.XX\nXXXXOXXXX\nOXOOOOX.X\n.OOOOOOX.\nlast net moves [{'ply': 82, 'by': 'net', 'move': 4, 'top5': [[4, 1.0], [14, 0.0], [7, 0.0], [8, 0.0], [81, 0.0]]}, {'ply': 84, 'by': 'net', 'move': 7, 'top5': [[7, 0.8762], [8, 0.0924], [81, 0.0314], [6, 0.0001], [17, 0.0]]}, {'ply': 86, 'by': 'net', 'move': 13, 'top5': [[13, 0.9869], [8, 0.0114], [81, 0.0013], [22, 0.0004], [17, 0.0]]}, {'ply': 88, 'by': 'net', 'move': 22, 'top5': [[22, 1.0], [4, 0.0], [8, 0.0], [81, 0.0], [6, 0.0]]}, {'ply': 90, 'by': 'net', 'move': 81, 'top5': [[8, 0.8073], [81, 0.1913], [17, 0.001], [6, 0.0004], [72, 0.0]]}]\n\nGAME 10 margin -10.5 lost 28 captured 12 end two passes\nafter 20\n.........\n...X.....\n.....X...\n...XXOO..\n...XOX...\n.XXXOX...\n..OOOO...\n..O...O..\n.........\nafter 40\n......X..\n...XOOOX.\n...OXXOO.\n...XXOOX.\n...XOXOX.\n.XXXOXX.X\n.XOOOOXX.\n..O..OOO.\n.........\nafter 60\n....O..O.\n...XOOOXX\n..X.XXOOX\n...XXOOXX\n.XOXOOOX.\n.XXXOO.OX\nOXOOOO..O\n.XO..OOO.\n.........\nafter 102\n.X.XOOOOO\nX.XXOOOO.\n.XX.XXOOO\nX.XXXOO..\nXX.XOOOOO\n.XXXOOOOO\nXXOOOO.OO\n.XOXOOOOO\nXXXXOXX..\nlast net moves [{'ply': 92, 'by': 'net', 'move': 11, 'top5': [[1, 0.8061], [11, 0.1826], [34, 0.008], [26, 0.0028], [17, 0.0005]]}, {'ply': 94, 'by': 'net', 'move': 1, 'top5': [[1, 1.0], [34, 0.0], [26, 0.0], [80, 0.0], [0, 0.0]]}, {'ply': 96, 'by': 'net', 'move': 34, 'top5': [[34, 0.7598], [26, 0.2401], [81, 0.0001], [79, 0.0], [17, 0.0]]}, {'ply': 98, 'by': 'net', 'move': 81, 'top5': [[81, 0.9899], [79, 0.0101], [80, 0.0001], [21, 0.0], [63, 0.0]]}, {'ply': 100, 'by': 'net', 'move': 81, 'top5': [[81, 0.9794], [79, 0.0204], [80, 0.0001], [35, 0.0], [34, 0.0]]}]\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 13 of at most 120:
```
Loss breakdown {('black', 'two passes'): 13, ('black', 'move limit'): 1, ('black', 'repetition'): 1, ('white', 'two passes'): 11}
GAME 6 margin -4.5 lost 22 captured 16 end two passes
after 20
.........
......O..
...OXXX..
..XXOO...
..XOO....
..XOO....
..XOXX...
....O....
.........
after 40
....X....
...X.XOX.
..X.XXXO.
..XXOOOO.
..XOOXOX.
..XOOXX..
..XOXXX..
..OOOOOO.
.........
after 60
..X.X.X.X
...X.X.XO
O.X.XXXOO
.OXXOOOOO
.XXOO.O.O
..XOO....
.XXO...O.
.XOOOOOOO
..X...O..
after 109
X.X.X.XOO
XX.X.XOOO
.XX.XXXOO
X.XXOOOOO
XXXOO.O.O
X.XOOOXOO
XXXO.XXOO
.XOOOOOOO
XXX.OOO..
last net moves [{'ply': 100, 'by': 'net', 'move': 74, 'top5': [[74, 1.0], [81, 0.0], [75, 0.0], [79, 0.0], [80, 0.0]]}, {'ply': 102, 'by': 'net', 'move': 73, 'top5': [[73, 0.5314], [75, 0.4685], [81, 0.0], [72, 0.0], [79, 0.0]]}, {'ply': 104, 'by': 'net', 'move': 72, 'top5': [[72, 1.0], [6, 0.0], [75, 0.0], [81, 0.0], [79, 0.0]]}, {'ply': 106, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [79, 0.0], [80, 0.0], [75, 0.0]]}, {'ply': 108, 'by': 'net', 'move': 81, 'top5': [[81, 0.7941], [5, 0.2059], [79, 0.0], [80, 0.0], [75, 0.0]]}]
GAME 9 margin -0.5 lost 11 captured 9 end two passes
after 20
.........
..X......
..XOX....
..OOOO...
..X.OX...
...OOX...
..XXOXX..
....O....
.........
after 40
...X.....
.XXOX....
X.XOXOOO.
.XOOOOXO.
.OXXOXXX.
..XOOX...
..XXOXX..
..OOOO...
.........
after 60
..O..O...
OXXO..O..
X.XO.OOO.
.XOOOOXOX
X.XXOXXXO
.XXOOX.X.
XXXXOXXO.
OXOOOOXO.
.........
after 91
XXOO.O.X.
.XXOXOOO.
X.XOXOOOO
.XOOOOXOO
X.XXOXXXO
.XXOOX.XX
XXXXOXXXX
OXOOOOX.X
.OOOOOOX.
last net moves [{'ply': 82, 'by': 'net', 'move': 4, 'top5': [[4, 1.0], [14, 0.0], [7, 0.0], [8, 0.0], [81, 0.0]]}, {'ply': 84, 'by': 'net', 'move': 7, 'top5': [[7, 0.8762], [8, 0.0924], [81, 0.0314], [6, 0.0001], [17, 0.0]]}, {'ply': 86, 'by': 'net', 'move': 13, 'top5': [[13, 0.9869], [8, 0.0114], [81, 0.0013], [22, 0.0004], [17, 0.0]]}, {'ply': 88, 'by': 'net', 'move': 22, 'top5': [[22, 1.0], [4, 0.0], [8, 0.0], [81, 0.0], [6, 0.0]]}, {'ply': 90, 'by': 'net', 'move': 81, 'top5': [[8, 0.8073], [81, 0.1913], [17, 0.001], [6, 0.0004], [72, 0.0]]}]
GAME 10 margin -10.5 lost 28 captured 12 end two passes
after 20
.........
...X.....
.....X...
...XXOO..
...XOX...
.XXXOX...
..OOOO...
..O...O..
.........
after 40
......X..
...XOOOX.
...OXXOO.
...XXOOX.
...XOXOX.
.XXXOXX.X
.XOOOOXX.
..O..OOO.
.........
after 60
....O..O.
...XOOOXX
..X.XXOOX
...XXOOXX
.XOXOOOX.
.XXXOO.OX
OXOOOO..O
.XO..OOO.
.........
after 102
.X.XOOOOO
X.XXOOOO.
.XX.XXOOO
X.XXXOO..
XX.XOOOOO
.XXXOOOOO
XXOOOO.OO
.XOXOOOOO
XXXXOXX..
last net moves [{'ply': 92, 'by': 'net', 'move': 11, 'top5': [[1, 0.8061], [11, 0.1826], [34, 0.008], [26, 0.0028], [17, 0.0005]]}, {'ply': 94, 'by': 'net', 'move': 1, 'top5': [[1, 1.0], [34, 0.0], [26, 0.0], [80, 0.0], [0, 0.0]]}, {'ply': 96, 'by': 'net', 'move': 34, 'top5': [[34, 0.7598], [26, 0.2401], [81, 0.0001], [79, 0.0], [17, 0.0]]}, {'ply': 98, 'by': 'net', 'move': 81, 'top5': [[81, 0.9899], [79, 0.0101], [80, 0.0001], [21, 0.0], [63, 0.0]]}, {'ply': 100, 'by': 'net', 'move': 81, 'top5': [[81, 0.9794], [79, 0.0204], [80, 0.0001], [35, 0.0], [34, 0.0]]}]
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# On an empty 9x9 board, take the central star point. This feature
# switches off exactly after either player places the first stone.
W[0][:,489]=0
B[0][489]=1
for p in range(81):
W[0][3*p,489]=-1
W[0][3*p+1,489]=-1
for k in range(1,6):
W[k][489,489]=1
OW[489,40]+=cfg.get("opening_center",8.0)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v9.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(opening_center=8.0,pass_lead=0.0,
black_territory_threshold=1.5,white_territory_threshold=1.5)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v9.npz",**tensors)
print("Saved v9: claim the center on the first move; retain v7's middlegame policy.")
```{
"t": 1792789211.5971148,
"kind": "python",
"s": 1.38,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # On an empty 9x9 board, take the central star point. This feature\n # switches off exactly after either player places the first stone.\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 OW[489,40]+=cfg.get(\"opening_center\",8.0)\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v9.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(opening_center=8.0,pass_lead=0.0,\n black_territory_threshold=1.5,white_territory_threshold=1.5)\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_v9.npz\",**tensors)\nprint(\"Saved v9: claim the center on the first move; retain v7's middlegame policy.\")\n",
"out": "Saved v9: claim the center on the first move; retain v7's middlegame policy.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 14 of at most 120: ``` Saved v9: claim the center on the first move; retain v7's middlegame policy. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789247.8899865,
"kind": "games",
"k": 10,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 10,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6458333134651184,
"wins": 62,
"losses": 34,
"score_as_black": 0.5416666865348816,
"score_as_white": 0.75,
"mean_margin": 36.19791793823242,
"mean_length": 113.26041666666667,
"stones_captured_per_game": 52.96875,
"stones_lost_per_game": 16.416666666666668,
"passes_per_game": 2.09375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 2,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 64.625,
"mean_length": 117.75,
"stones_captured_per_game": 74.875,
"stones_lost_per_game": 4.25,
"passes_per_game": 3.53125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_10/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 10 of 50 done.
```
{"ok": true, "pass": 10, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6458333134651184, "wins": 62, "losses": 34, "score_as_black": 0.5416666865348816, "score_as_white": 0.75, "mean_margin": 36.19791793823242, "mean_length": 113.26041666666667, "stones_captured_per_game": 52.96875, "stones_lost_per_game": 16.416666666666668, "passes_per_game": 2.09375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 2, "end_move_limit": 1}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 64.625, "mean_length": 117.75, "stones_captured_per_game": 74.875, "stones_lost_per_game": 4.25, "passes_per_game": 3.53125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_10/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 40.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# Defend vulnerable groups before their final liberty is taken.
# The feature is graded: strongest in atari, weaker with nearby
# evidence of additional liberties.
for p in range(81):
j=u(2,p)
W[3][:,j]=0
B[3][j]=0
W[3][u(0,p),j]=3
W[3][u(2,p),j]=-1
for q in adj[p]:
W[3][u(2,q),j]-=0.5
W[4][u(4,p),u(4,p)]=-12
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v10.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(rescue=2.2,opening_center=0.0)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v10.npz",**tensors)
print("Saved v10: graded preventive defense, with suicidal rescues still suppressed.")
```{
"t": 1792789306.7337205,
"kind": "python",
"s": 1.08,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # Defend vulnerable groups before their final liberty is taken.\n # The feature is graded: strongest in atari, weaker with nearby\n # evidence of additional liberties.\n for p in range(81):\n j=u(2,p)\n W[3][:,j]=0\n B[3][j]=0\n W[3][u(0,p),j]=3\n W[3][u(2,p),j]=-1\n for q in adj[p]:\n W[3][u(2,q),j]-=0.5\n W[4][u(4,p),u(4,p)]=-12\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v10.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(rescue=2.2,opening_center=0.0)\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_v10.npz\",**tensors)\nprint(\"Saved v10: graded preventive defense, with suicidal rescues still suppressed.\")\n",
"out": "Saved v10: graded preventive defense, with suicidal rescues still suppressed.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 15 of at most 120: ``` Saved v10: graded preventive defense, with suicidal rescues still suppressed. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789337.1394343,
"kind": "games",
"k": 11,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 11,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6875,
"wins": 66,
"losses": 30,
"score_as_black": 0.625,
"score_as_white": 0.75,
"mean_margin": 36.65625,
"mean_length": 110.58333333333333,
"stones_captured_per_game": 51.34375,
"stones_lost_per_game": 13.3125,
"passes_per_game": 2.2083333333333335,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 90,
"end_repetition": 4,
"end_move_limit": 2
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 1.0,
"score_as_white": 0.9375,
"mean_margin": 66.25,
"mean_length": 115.75,
"stones_captured_per_game": 75.59375,
"stones_lost_per_game": 1.71875,
"passes_per_game": 2.8125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_11/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 11 of 50 done.
```
{"ok": true, "pass": 11, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6875, "wins": 66, "losses": 30, "score_as_black": 0.625, "score_as_white": 0.75, "mean_margin": 36.65625, "mean_length": 110.58333333333333, "stones_captured_per_game": 51.34375, "stones_lost_per_game": 13.3125, "passes_per_game": 2.2083333333333335, "games_with_a_pass_before_move_60": 0, "end_two_passes": 90, "end_repetition": 4, "end_move_limit": 2}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 1.0, "score_as_white": 0.9375, "mean_margin": 66.25, "mean_length": 115.75, "stones_captured_per_game": 75.59375, "stones_lost_per_game": 1.71875, "passes_per_game": 2.8125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_11/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 39.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# Topological pressure: an empty point between enemy stones that
# lack diagonal support can separate their groups.
for p in range(81):
j=u(5,p)
W[5][:,j]=0
B[5][j]=-1
for q in adj[p]:
W[5][u(1,q),j]+=1
for q in diag[p]:
W[5][u(1,q),j]-=1
OW[j,p]=cfg.get("cut",1.5)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v11.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(rescue=6.0,connection=1.8,surrounded_penalty=17.0,cut=1.5)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v11.npz",**tensors)
print("Saved v11: stronger own connections and pressure on unsupported enemy cuts.")
```{
"t": 1792789391.3060966,
"kind": "python",
"s": 1.4,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # Topological pressure: an empty point between enemy stones that\n # lack diagonal support can separate their groups.\n for p in range(81):\n j=u(5,p)\n W[5][:,j]=0\n B[5][j]=-1\n for q in adj[p]:\n W[5][u(1,q),j]+=1\n for q in diag[p]:\n W[5][u(1,q),j]-=1\n OW[j,p]=cfg.get(\"cut\",1.5)\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v11.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(rescue=6.0,connection=1.8,surrounded_penalty=17.0,cut=1.5)\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_v11.npz\",**tensors)\nprint(\"Saved v11: stronger own connections and pressure on unsupported enemy cuts.\")\n",
"out": "Saved v11: stronger own connections and pressure on unsupported enemy cuts.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 16 of at most 120: ``` Saved v11: stronger own connections and pressure on unsupported enemy cuts. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789423.917764,
"kind": "games",
"k": 12,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 12,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6770833134651184,
"wins": 65,
"losses": 31,
"score_as_black": 0.6041666865348816,
"score_as_white": 0.75,
"mean_margin": 40.5625,
"mean_length": 112.9375,
"stones_captured_per_game": 55.0,
"stones_lost_per_game": 15.510416666666666,
"passes_per_game": 1.9791666666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 94,
"end_repetition": 1,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.875,
"score_as_white": 1.0,
"mean_margin": 63.0,
"mean_length": 117.25,
"stones_captured_per_game": 77.15625,
"stones_lost_per_game": 4.15625,
"passes_per_game": 3.4375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_12/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 12 of 50 done.
```
{"ok": true, "pass": 12, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6770833134651184, "wins": 65, "losses": 31, "score_as_black": 0.6041666865348816, "score_as_white": 0.75, "mean_margin": 40.5625, "mean_length": 112.9375, "stones_captured_per_game": 55.0, "stones_lost_per_game": 15.510416666666666, "passes_per_game": 1.9791666666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 94, "end_repetition": 1, "end_move_limit": 1}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.875, "score_as_white": 1.0, "mean_margin": 63.0, "mean_length": 117.25, "stones_captured_per_game": 77.15625, "stones_lost_per_game": 4.15625, "passes_per_game": 3.4375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_12/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 38.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=r'''
import numpy as np
DEFAULTS=dict(
capture=6.45,rescue=6.0,attack=2.0,self_atari=7.5,
surrounded_penalty=17.0,connection=0.9,contact=1.4,
own_territory=2.5,enemy_territory=1.0,territory_threshold=1.5,
pass_base=-9.0,pass_per_stone=0.10,pass_white=0.35,
own_adj=0.20,own_diag=0.50,own_two=0.70,own_knight=0.30,
enemy_adj=0.70,enemy_diag=0.40,enemy_two=0.25,
repeat_risk=18.0,temperature_scale=1.8,
)
def build(save,overrides=None):
c=dict(DEFAULTS)
if overrides: c.update(overrides)
W=[np.zeros((243 if k==0 else 512,512),np.float32) for k in range(6)]
B=[np.zeros(512,np.float32) for k in range(6)]
OW=np.zeros((512,82),np.float32); OB=np.zeros(82,np.float32)
def u(ch,p): return 81*ch+p
adj=[]; diag=[]; rings=[]
for p in range(81):
r,s=divmod(p,9)
adj.append([a*9+b for a,b in [(r-1,s),(r+1,s),(r,s-1),(r,s+1)]
if 0<=a<9 and 0<=b<9])
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)]
if 0<=a<9 and 0<=b<9])
rings.append([(q,abs(r-q//9),abs(s-q%9)) for q in range(81) if q!=p])
for p in range(81):
W[0][3*p,u(0,p)]=1; W[0][3*p+1,u(1,p)]=1
for col in [0,1]:
j=u(2+col,p); B[0][j]=len(adj[p])-4
W[0][3*p+col,j]=4
for q in adj[p]:
W[0][3*q,j]-=1; W[0][3*q+1,j]-=1
B[0][u(4,p)]=-1; B[0][u(5,p)]=-1
for q in adj[p]:
W[0][3*q+1,u(4,p)]+=1
W[0][3*q,u(4,p)]-=0.75
W[0][3*q,u(5,p)]+=1
for q in diag[p]:
W[0][3*q,u(4,p)]-=0.20
W[0][3*q,u(5,p)]-=0.65
W[0][3*p,486]=1; W[0][3*p+1,487]=1
W[0][2,488]=1
for k in range(1,6):
for g in [486,487,488]: W[k][g,g]=1
line=[-1.5,0.25,1.2,0.9,1.0]
for p in range(81):
for col in [0,1]:
W[1][u(col,p),u(col,p)]=1
j=u(2+col,p)
B[1][j]=-22; W[1][u(col,p),j]=20
W[1][u(2+col,p),j]=2
for q in adj[p]: W[1][u(2+col,q),j]+=1
# Excess direct liberties, used to correct the doubled centre.
W[1][u(2,p),u(4,p)]=1
W[1][u(0,p),u(4,p)]=-1
j=u(5,p); r,s=divmod(p,9)
B[1][j]=100+line[min(r,8-r)]+line[min(s,8-s)]
W[1][u(4,p),j]=-c["contact"]
W[1][u(5,p),j]=c["connection"]
for q,dr,dc in rings[p]:
if dr+dc==1: a,b=c["own_adj"],c["enemy_adj"]
elif dr==dc==1: a,b=c["own_diag"],c["enemy_diag"]
elif dr+dc==2: a,b=c["own_two"],c["enemy_two"]
elif sorted([dr,dc])==[1,2]: a,b=c["own_knight"],0
else: continue
W[1][u(0,q),j]+=a; W[1][u(1,q),j]+=b
# Layer 3: packed colour, two safety fields, extension liberties,
# exact singleton-atari detector, and accumulated shape score.
for p in range(81):
B[2][u(0,p)]=0.5
W[2][u(0,p),u(0,p)]=0.5
W[2][u(1,p),u(0,p)]=-0.5
for col in [0,1]:
j=u(1+col,p); B[2][j]=-100
W[2][u(col,p),j]=100
for q in [p]+adj[p]: W[2][u(2+col,q),j]+=1
j=u(3,p); B[2][j]=len(adj[p])
for q in adj[p]:
W[2][u(0,q),j]-=1; W[2][u(1,q),j]-=1
W[2][u(2,q),j]+=1; W[2][u(4,q),j]-=1
j=u(4,p); B[2][j]=-len(adj[p])
W[2][u(1,p),j]=2
for q in adj[p]:
W[2][u(0,q),j]+=1; W[2][u(1,q),j]-=1
W[2][u(5,p),u(5,p)]=1
# Layer 4 adds another full graph-propagation step.
for p in range(81):
W[3][u(0,p),u(0,p)]=1
for col in [0,1]:
j=u(1+col,p)
if col==0:
B[3][j]=-1000
W[3][u(0,p),j]=1000
else:
W[3][u(0,p),j]=-1000
for q in [p]+adj[p]: W[3][u(1+col,q),j]+=1
j=u(3,p); B[3][j]=2
W[3][u(3,p),j]=-1
j=u(4,p)
for q in adj[p]:
W[3][u(4,q),j]+=2
W[3][u(0,q),j]-=2
W[3][u(5,p),u(5,p)]=1
# Layer 5: atari reaches four links, with separate graded attack.
for p in range(81):
W[4][u(0,p),u(0,p)]=1
j=u(1,p); B[4][j]=-19
W[4][u(0,p),j]=20
for q in [p]+adj[p]: W[4][u(1,q),j]-=1
j=u(2,p); B[4][j]=1
W[4][u(0,p),j]=-20
for q in [p]+adj[p]: W[4][u(2,q),j]-=1
j=u(3,p); B[4][j]=3
W[4][u(0,p),j]=-20
W[4][u(2,p),j]=-1
for q in adj[p]: W[4][u(2,q),j]-=0.5
W[4][u(3,p),u(4,p)]=1
W[4][u(5,p),u(5,p)]=1
W[4][u(4,p),u(5,p)]=-c["repeat_risk"]
for p in range(81):
j=u(0,p); W[5][u(5,p),j]=1
for q in adj[p]:
W[5][u(2,q),j]+=c["capture"]
W[5][u(3,q),j]+=c["attack"]
j=u(1,p); W[5][u(4,p),j]=-4
for q in adj[p]: W[5][u(1,q),j]+=1
j=u(2,p); W[5][u(4,p),j]=1
for q in adj[p]: W[5][u(2,q),j]-=2
for ch,sign in [(3,1),(5,-1)]:
j=u(ch,p); B[5][j]=-c["territory_threshold"]
for q,dr,dc in rings[p]:
if dr+dc==1: a=1.0
elif dr==dc==1: a=0.65
elif dr+dc==2: a=0.45
elif sorted([dr,dc])==[1,2]: a=0.20
else: continue
W[5][u(0,q),j]+=2*sign*a
B[5][j]-=sign*a
j=u(4,p); B[5][j]=1-2*len(adj[p])
for q in adj[p]: W[5][u(0,q),j]+=2
for ch,a in [(0,1),(1,c["rescue"]),(2,-c["self_atari"]),
(3,-c["own_territory"]),(4,-c["surrounded_penalty"]),
(5,-c["enemy_territory"])]:
OW[u(ch,p),p]=a
OB[p]=-100
OB[81]=c["pass_base"]
OW[486,81]=OW[487,81]=c["pass_per_stone"]
OW[488,81]=c["pass_white"]
OW*=c["temperature_scale"]; OB*=c["temperature_scale"]
ts={}
for k in range(6):
ts["L%d.W"%(k+1)]=W[k]; ts["L%d.b"%(k+1)]=B[k]
ts["out.W"]=OW; ts["out.b"]=OB
for n,a in ts.items():
assert np.isfinite(a).all()
save(n,a)
return c,ts
'''
open("/work/policy_design_v12.py","w").write(source)
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v12.npz",**tensors)
print("Saved v12: packed board representation permits deeper tactical propagation.")
```{
"t": 1792789589.598266,
"kind": "python",
"s": 1.5,
"code": "import 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",
"out": "Saved v12: packed board representation permits deeper tactical propagation.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 17 of at most 120: ``` Saved v12: packed board representation permits deeper tactical propagation. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789630.4792638,
"kind": "games",
"k": 13,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 13,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.6458333134651184,
"wins": 62,
"losses": 34,
"score_as_black": 0.7083333134651184,
"score_as_white": 0.5833333134651184,
"mean_margin": 35.48958206176758,
"mean_length": 111.41666666666667,
"stones_captured_per_game": 51.458333333333336,
"stones_lost_per_game": 14.520833333333334,
"passes_per_game": 2.5833333333333335,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 92,
"end_repetition": 4,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.9375,
"score_as_white": 0.9375,
"mean_margin": 57.8125,
"mean_length": 115.625,
"stones_captured_per_game": 67.5625,
"stones_lost_per_game": 5.96875,
"passes_per_game": 3.53125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_13/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 13 of 50 done.
```
{"ok": true, "pass": 13, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.6458333134651184, "wins": 62, "losses": 34, "score_as_black": 0.7083333134651184, "score_as_white": 0.5833333134651184, "mean_margin": 35.48958206176758, "mean_length": 111.41666666666667, "stones_captured_per_game": 51.458333333333336, "stones_lost_per_game": 14.520833333333334, "passes_per_game": 2.5833333333333335, "games_with_a_pass_before_move_60": 0, "end_two_passes": 92, "end_repetition": 4, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.9375, "score_as_white": 0.9375, "mean_margin": 57.8125, "mean_length": 115.625, "stones_captured_per_game": 67.5625, "stones_lost_per_game": 5.96875, "passes_per_game": 3.53125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_13/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 37.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=dict(
capture=9.0,rescue=6.0,attack=1.15,self_atari=7.5,
eye=11.0,connection=0.9,contact=1.4,
own_territory=2.5,enemy_territory=1.0,territory_threshold=1.5,
pass_base=-12.0,pass_per_stone=0.10,pass_white=3.35,
own_adj=0.20,own_diag=0.50,own_two=0.70,own_knight=0.30,
enemy_adj=0.70,enemy_diag=0.40,enemy_two=0.25,
temperature_scale=2.5,surrounded_penalty=10.0,repeat_risk=18.0,
)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v13.npz",**tensors)
print("Saved v13: more decisive shape choices and greater endgame persistence as Black.")
```{
"t": 1792789736.431763,
"kind": "python",
"s": 1.38,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\nopen(\"/work/policy_design.py\",\"w\").write(source)\nns={}\nexec(compile(source,\"/work/policy_design.py\",\"exec\"),ns)\ncfg=dict(\n capture=9.0,rescue=6.0,attack=1.15,self_atari=7.5,\n eye=11.0,connection=0.9,contact=1.4,\n own_territory=2.5,enemy_territory=1.0,territory_threshold=1.5,\n pass_base=-12.0,pass_per_stone=0.10,pass_white=3.35,\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 temperature_scale=2.5,surrounded_penalty=10.0,repeat_risk=18.0,\n)\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v13.npz\",**tensors)\nprint(\"Saved v13: more decisive shape choices and greater endgame persistence as Black.\")\n",
"out": "Saved v13: more decisive shape choices and greater endgame persistence as Black.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 18 of at most 120: ``` Saved v13: more decisive shape choices and greater endgame persistence as Black. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792789770.8257945,
"kind": "games",
"k": 14,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 14,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.8020833134651184,
"wins": 77,
"losses": 19,
"score_as_black": 0.7916666865348816,
"score_as_white": 0.8125,
"mean_margin": 47.16666793823242,
"mean_length": 113.95833333333333,
"stones_captured_per_game": 58.541666666666664,
"stones_lost_per_game": 11.625,
"passes_per_game": 2.0208333333333335,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 95,
"end_repetition": 0,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 1.0,
"score_as_white": 0.9375,
"mean_margin": 62.84375,
"mean_length": 114.875,
"stones_captured_per_game": 73.53125,
"stones_lost_per_game": 3.625,
"passes_per_game": 2.78125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_14/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 14 of 50 done.
```
{"ok": true, "pass": 14, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.8020833134651184, "wins": 77, "losses": 19, "score_as_black": 0.7916666865348816, "score_as_white": 0.8125, "mean_margin": 47.16666793823242, "mean_length": 113.95833333333333, "stones_captured_per_game": 58.541666666666664, "stones_lost_per_game": 11.625, "passes_per_game": 2.0208333333333335, "games_with_a_pass_before_move_60": 0, "end_two_passes": 95, "end_repetition": 0, "end_move_limit": 1}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 1.0, "score_as_white": 0.9375, "mean_margin": 62.84375, "mean_length": 114.875, "stones_captured_per_game": 73.53125, "stones_lost_per_game": 3.625, "passes_per_game": 2.78125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_14/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 36.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792789799.798535,
"kind": "games",
"k": 15,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 15,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.7578125,
"wins": 97,
"losses": 31,
"score_as_black": 0.765625,
"score_as_white": 0.75,
"mean_margin": 44.671875,
"mean_length": 113.25,
"stones_captured_per_game": 59.890625,
"stones_lost_per_game": 12.796875,
"passes_per_game": 2.0546875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 124,
"end_repetition": 3,
"end_move_limit": 1
}
},
"files": "/work/pass_15/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 15 of 50 done.
```
{"ok": true, "pass": 15, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.7578125, "wins": 97, "losses": 31, "score_as_black": 0.765625, "score_as_white": 0.75, "mean_margin": 44.671875, "mean_length": 113.25, "stones_captured_per_game": 59.890625, "stones_lost_per_game": 12.796875, "passes_per_game": 2.0546875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 124, "end_repetition": 3, "end_move_limit": 1}}, "files": "/work/pass_15/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 35.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(enemy_adj=1.3,enemy_diag=0.7,enemy_two=0.4,
own_adj=0.4,attack=1.4)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v14.npz",**tensors)
print("Saved v14: contest the opponent's boundary earlier instead of conceding central space.")
```{
"t": 1792790005.8098285,
"kind": "python",
"s": 1.3,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.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.update(enemy_adj=1.3,enemy_diag=0.7,enemy_two=0.4,\n own_adj=0.4,attack=1.4)\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v14.npz\",**tensors)\nprint(\"Saved v14: contest the opponent's boundary earlier instead of conceding central space.\")\n",
"out": "Saved v14: contest the opponent's boundary earlier instead of conceding central space.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 19 of at most 120: ``` Saved v14: contest the opponent's boundary earlier instead of conceding central space. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790038.913111,
"kind": "games",
"k": 16,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 16,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.8020833134651184,
"wins": 77,
"losses": 19,
"score_as_black": 0.7708333134651184,
"score_as_white": 0.8333333134651184,
"mean_margin": 46.1875,
"mean_length": 113.73958333333333,
"stones_captured_per_game": 57.416666666666664,
"stones_lost_per_game": 11.645833333333334,
"passes_per_game": 1.5520833333333333,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 92,
"end_repetition": 4,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 1.0,
"score_as_white": 0.9375,
"mean_margin": 64.5,
"mean_length": 113.1875,
"stones_captured_per_game": 69.0625,
"stones_lost_per_game": 3.34375,
"passes_per_game": 2.40625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_16/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 16 of 50 done.
```
{"ok": true, "pass": 16, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.8020833134651184, "wins": 77, "losses": 19, "score_as_black": 0.7708333134651184, "score_as_white": 0.8333333134651184, "mean_margin": 46.1875, "mean_length": 113.73958333333333, "stones_captured_per_game": 57.416666666666664, "stones_lost_per_game": 11.645833333333334, "passes_per_game": 1.5520833333333333, "games_with_a_pass_before_move_60": 0, "end_two_passes": 92, "end_repetition": 4, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 1.0, "score_as_white": 0.9375, "mean_margin": 64.5, "mean_length": 113.1875, "stones_captured_per_game": 69.0625, "stones_lost_per_game": 3.34375, "passes_per_game": 2.40625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_16/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 34.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# Opening line preferences should not make first-line endgame
# points artificially unattractive. Flatten them as the board fills.
start=cfg.get("endgame_start",12.0)
finish=cfg.get("endgame_finish",52.0)
for g,threshold in [(489,start),(490,finish)]:
W[0][:,g]=0
B[0][g]=-threshold/(finish-start)
for p in range(81):
W[0][3*p,g]=1/(finish-start)
W[0][3*p+1,g]=1/(finish-start)
for k in range(1,6):
W[k][g,g]=1
for p in range(81):
r,c=divmod(p,9)
prior=line_prior[min(r,8-r)]+line_prior[min(c,8-c)]
delta=cfg.get("endgame_prior",2.0)-prior
OW[489,p]+=delta
OW[490,p]-=delta
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v15.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(endgame_start=12.0,endgame_finish=52.0,endgame_prior=2.0)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v15.npz",**tensors)
print("Saved v15: opening geometry transitions to uniform point value in the endgame.")
```{
"t": 1792790096.794045,
"kind": "python",
"s": 1.04,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # Opening line preferences should not make first-line endgame\n # points artificially unattractive. Flatten them as the board fills.\n start=cfg.get(\"endgame_start\",12.0)\n finish=cfg.get(\"endgame_finish\",52.0)\n for g,threshold in [(489,start),(490,finish)]:\n W[0][:,g]=0\n B[0][g]=-threshold/(finish-start)\n for p in range(81):\n W[0][3*p,g]=1/(finish-start)\n W[0][3*p+1,g]=1/(finish-start)\n for k in range(1,6):\n W[k][g,g]=1\n for p in range(81):\n r,c=divmod(p,9)\n prior=line_prior[min(r,8-r)]+line_prior[min(c,8-c)]\n delta=cfg.get(\"endgame_prior\",2.0)-prior\n OW[489,p]+=delta\n OW[490,p]-=delta\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v15.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(endgame_start=12.0,endgame_finish=52.0,endgame_prior=2.0)\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_v15.npz\",**tensors)\nprint(\"Saved v15: opening geometry transitions to uniform point value in the endgame.\")\n",
"out": "Saved v15: opening geometry transitions to uniform point value in the endgame.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 20 of at most 120: ``` Saved v15: opening geometry transitions to uniform point value in the endgame. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790128.7389364,
"kind": "games",
"k": 17,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 17,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.78125,
"wins": 75,
"losses": 21,
"score_as_black": 0.7291666865348816,
"score_as_white": 0.8333333134651184,
"mean_margin": 48.85416793823242,
"mean_length": 117.70833333333333,
"stones_captured_per_game": 60.072916666666664,
"stones_lost_per_game": 14.34375,
"passes_per_game": 1.59375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 3,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.90625,
"wins": 29,
"losses": 3,
"score_as_black": 0.875,
"score_as_white": 0.9375,
"mean_margin": 64.53125,
"mean_length": 112.65625,
"stones_captured_per_game": 65.875,
"stones_lost_per_game": 3.75,
"passes_per_game": 2.0625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 30,
"end_repetition": 2,
"end_move_limit": 0
}
},
"files": "/work/pass_17/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 17 of 50 done.
```
{"ok": true, "pass": 17, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.78125, "wins": 75, "losses": 21, "score_as_black": 0.7291666865348816, "score_as_white": 0.8333333134651184, "mean_margin": 48.85416793823242, "mean_length": 117.70833333333333, "stones_captured_per_game": 60.072916666666664, "stones_lost_per_game": 14.34375, "passes_per_game": 1.59375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 3, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.90625, "wins": 29, "losses": 3, "score_as_black": 0.875, "score_as_white": 0.9375, "mean_margin": 64.53125, "mean_length": 112.65625, "stones_captured_per_game": 65.875, "stones_lost_per_game": 3.75, "passes_per_game": 2.0625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 30, "end_repetition": 2, "end_move_limit": 0}}, "files": "/work/pass_17/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 33.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v7.py").read()
patch=r'''
# An endangered stone with several friendly connections is more
# likely to represent a substantial group than an isolated stone.
for p in range(81):
j=u(2,p)
W[3][:,j]=0
B[3][j]=-4
W[3][u(0,p),j]=5
for q in adj[p]:
W[3][u(0,q),j]+=cfg.get("rescue_size",0.4)
for q in [p]+adj[p]:
W[3][u(2,q),j]-=10
W[4][u(4,p),u(4,p)]=-12
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v16.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(rescue=8.0,rescue_size=0.4)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v16.npz",**tensors)
print("Saved v16: prioritize saving connected groups over harvesting isolated enemy stones.")
```{
"t": 1792790219.0766199,
"kind": "python",
"s": 1.05,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v7.py\").read()\npatch=r'''\n # An endangered stone with several friendly connections is more\n # likely to represent a substantial group than an isolated stone.\n for p in range(81):\n j=u(2,p)\n W[3][:,j]=0\n B[3][j]=-4\n W[3][u(0,p),j]=5\n for q in adj[p]:\n W[3][u(0,q),j]+=cfg.get(\"rescue_size\",0.4)\n for q in [p]+adj[p]:\n W[3][u(2,q),j]-=10\n W[4][u(4,p),u(4,p)]=-12\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v16.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(rescue=8.0,rescue_size=0.4)\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_v16.npz\",**tensors)\nprint(\"Saved v16: prioritize saving connected groups over harvesting isolated enemy stones.\")\n",
"out": "Saved v16: prioritize saving connected groups over harvesting isolated enemy stones.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 21 of at most 120: ``` Saved v16: prioritize saving connected groups over harvesting isolated enemy stones. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790249.8215432,
"kind": "games",
"k": 18,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 18,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.78125,
"wins": 75,
"losses": 21,
"score_as_black": 0.7916666865348816,
"score_as_white": 0.7708333134651184,
"mean_margin": 48.33333206176758,
"mean_length": 113.16666666666667,
"stones_captured_per_game": 55.385416666666664,
"stones_lost_per_game": 11.6875,
"passes_per_game": 1.5,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 92,
"end_repetition": 4,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 0.9375,
"score_as_white": 1.0,
"mean_margin": 66.75,
"mean_length": 117.03125,
"stones_captured_per_game": 74.8125,
"stones_lost_per_game": 3.375,
"passes_per_game": 2.40625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_18/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 18 of 50 done.
```
{"ok": true, "pass": 18, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.78125, "wins": 75, "losses": 21, "score_as_black": 0.7916666865348816, "score_as_white": 0.7708333134651184, "mean_margin": 48.33333206176758, "mean_length": 113.16666666666667, "stones_captured_per_game": 55.385416666666664, "stones_lost_per_game": 11.6875, "passes_per_game": 1.5, "games_with_a_pass_before_move_60": 0, "end_two_passes": 92, "end_repetition": 4, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 0.9375, "score_as_white": 1.0, "mean_margin": 66.75, "mean_length": 117.03125, "stones_captured_per_game": 74.8125, "stones_lost_per_game": 3.375, "passes_per_game": 2.40625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_18/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 32.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v16.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(own_adj=0.8,contact=3.0)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v17.npz",**tensors)
print("Saved v17: prefer supported fighting and avoid unsupported multi-stone contact.")
```{
"t": 1792790340.8771214,
"kind": "python",
"s": 1.29,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v16.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.update(own_adj=0.8,contact=3.0)\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v17.npz\",**tensors)\nprint(\"Saved v17: prefer supported fighting and avoid unsupported multi-stone contact.\")\n",
"out": "Saved v17: prefer supported fighting and avoid unsupported multi-stone contact.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 22 of at most 120: ``` Saved v17: prefer supported fighting and avoid unsupported multi-stone contact. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790374.5773816,
"kind": "games",
"k": 19,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 19,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7708333134651184,
"wins": 74,
"losses": 22,
"score_as_black": 0.75,
"score_as_white": 0.7916666865348816,
"mean_margin": 49.08333206176758,
"mean_length": 115.5,
"stones_captured_per_game": 64.15625,
"stones_lost_per_game": 13.135416666666666,
"passes_per_game": 1.8229166666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 3,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 0.9375,
"score_as_white": 1.0,
"mean_margin": 68.46875,
"mean_length": 115.96875,
"stones_captured_per_game": 73.6875,
"stones_lost_per_game": 1.96875,
"passes_per_game": 2.15625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_19/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 19 of 50 done.
```
{"ok": true, "pass": 19, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7708333134651184, "wins": 74, "losses": 22, "score_as_black": 0.75, "score_as_white": 0.7916666865348816, "mean_margin": 49.08333206176758, "mean_length": 115.5, "stones_captured_per_game": 64.15625, "stones_lost_per_game": 13.135416666666666, "passes_per_game": 1.8229166666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 3, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 0.9375, "score_as_white": 1.0, "mean_margin": 68.46875, "mean_length": 115.96875, "stones_captured_per_game": 73.6875, "stones_lost_per_game": 1.96875, "passes_per_game": 2.15625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_19/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 31.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v16.py").read()
patch=r'''
# Pack colour one layer earlier, freeing a channel for short-range
# weakness. Capture certainty still uses the longer safety field.
for p in range(81):
j=u(0,p)
W[2][:,j]=0
B[2][j]=0.5
W[2][u(0,p),j]=0.5
W[2][u(1,p),j]=-0.5
j=u(1,p)
W[2][:,j]=0
B[2][j]=0
W[2][u(3,p),j]=1
j=u(0,p)
W[3][:,j]=0
B[3][j]=0
W[3][u(0,p),j]=1
j=u(1,p)
W[3][:,j]=0
B[3][j]=3
W[3][u(0,p),j]=-20
W[3][u(1,p),j]=-1
for q in adj[p]:
W[3][u(1,q),j]-=0.5
j=u(2,p)
W[3][:,j]=0
size=cfg.get("rescue_size",0.4)
B[3][j]=1-0.5*size-20
W[3][u(0,p),j]=20
for q in adj[p]:
W[3][u(0,q),j]+=size
for q in [p]+adj[p]:
W[3][u(2,q),j]-=10
j=u(3,p)
W[3][:,j]=0
B[3][j]=1
W[3][u(0,p),j]=-20
for q in [p]+adj[p]:
W[3][u(3,q),j]-=1
j=u(5,p)
W[3][:,j]=0
B[3][j]=0
for q in adj[p]:
W[3][u(5,q),j]+=2
W[3][u(0,q),j]-=2
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v18.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v18.npz",**tensors)
print("Saved v18: separate short-range attack pressure from longer-range capture certification.")
```{
"t": 1792790459.5317955,
"kind": "python",
"s": 1.07,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v16.py\").read()\npatch=r'''\n # Pack colour one layer earlier, freeing a channel for short-range\n # weakness. Capture certainty still uses the longer safety field.\n for p in range(81):\n j=u(0,p)\n W[2][:,j]=0\n B[2][j]=0.5\n W[2][u(0,p),j]=0.5\n W[2][u(1,p),j]=-0.5\n\n j=u(1,p)\n W[2][:,j]=0\n B[2][j]=0\n W[2][u(3,p),j]=1\n\n j=u(0,p)\n W[3][:,j]=0\n B[3][j]=0\n W[3][u(0,p),j]=1\n\n j=u(1,p)\n W[3][:,j]=0\n B[3][j]=3\n W[3][u(0,p),j]=-20\n W[3][u(1,p),j]=-1\n for q in adj[p]:\n W[3][u(1,q),j]-=0.5\n\n j=u(2,p)\n W[3][:,j]=0\n size=cfg.get(\"rescue_size\",0.4)\n B[3][j]=1-0.5*size-20\n W[3][u(0,p),j]=20\n for q in adj[p]:\n W[3][u(0,q),j]+=size\n for q in [p]+adj[p]:\n W[3][u(2,q),j]-=10\n\n j=u(3,p)\n W[3][:,j]=0\n B[3][j]=1\n W[3][u(0,p),j]=-20\n for q in [p]+adj[p]:\n W[3][u(3,q),j]-=1\n\n j=u(5,p)\n W[3][:,j]=0\n B[3][j]=0\n for q in adj[p]:\n W[3][u(5,q),j]+=2\n W[3][u(0,q),j]-=2\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v18.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\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_v18.npz\",**tensors)\nprint(\"Saved v18: separate short-range attack pressure from longer-range capture certification.\")\n",
"out": "Saved v18: separate short-range attack pressure from longer-range capture certification.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 23 of at most 120: ``` Saved v18: separate short-range attack pressure from longer-range capture certification. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790494.372583,
"kind": "games",
"k": 20,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 20,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7708333134651184,
"wins": 74,
"losses": 22,
"score_as_black": 0.7291666865348816,
"score_as_white": 0.8125,
"mean_margin": 49.55208206176758,
"mean_length": 115.35416666666667,
"stones_captured_per_game": 59.197916666666664,
"stones_lost_per_game": 10.885416666666666,
"passes_per_game": 1.4895833333333333,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 96,
"end_repetition": 0,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 0.96875,
"wins": 31,
"losses": 1,
"score_as_black": 0.9375,
"score_as_white": 1.0,
"mean_margin": 66.96875,
"mean_length": 115.53125,
"stones_captured_per_game": 74.21875,
"stones_lost_per_game": 1.90625,
"passes_per_game": 1.9375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_20/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 20 of 50 done.
```
{"ok": true, "pass": 20, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7708333134651184, "wins": 74, "losses": 22, "score_as_black": 0.7291666865348816, "score_as_white": 0.8125, "mean_margin": 49.55208206176758, "mean_length": 115.35416666666667, "stones_captured_per_game": 59.197916666666664, "stones_lost_per_game": 10.885416666666666, "passes_per_game": 1.4895833333333333, "games_with_a_pass_before_move_60": 0, "end_two_passes": 96, "end_repetition": 0, "end_move_limit": 0}, "weak": {"games": 32, "score": 0.96875, "wins": 31, "losses": 1, "score_as_black": 0.9375, "score_as_white": 1.0, "mean_margin": 66.96875, "mean_length": 115.53125, "stones_captured_per_game": 74.21875, "stones_lost_per_game": 1.90625, "passes_per_game": 1.9375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_20/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 30.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v18.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=json.load(open("/work/policy_config.json"))
cfg["temperature_scale"]=4.0
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v19.npz",**tensors)
print("Saved v19: sharpen the policy while retaining symmetry among equally valued moves.")
```{
"t": 1792790538.7105854,
"kind": "python",
"s": 1.38,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v18.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[\"temperature_scale\"]=4.0\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v19.npz\",**tensors)\nprint(\"Saved v19: sharpen the policy while retaining symmetry among equally valued moves.\")\n",
"out": "Saved v19: sharpen the policy while retaining symmetry among equally valued moves.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 24 of at most 120: ``` Saved v19: sharpen the policy while retaining symmetry among equally valued moves. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790573.1490142,
"kind": "games",
"k": 21,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 21,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.71875,
"wins": 69,
"losses": 27,
"score_as_black": 0.7291666865348816,
"score_as_white": 0.7083333134651184,
"mean_margin": 46.125,
"mean_length": 115.10416666666667,
"stones_captured_per_game": 56.385416666666664,
"stones_lost_per_game": 13.177083333333334,
"passes_per_game": 1.6875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 3,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 71.0625,
"mean_length": 118.53125,
"stones_captured_per_game": 81.0625,
"stones_lost_per_game": 2.59375,
"passes_per_game": 2.0625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_21/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 21 of 50 done.
```
{"ok": true, "pass": 21, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.71875, "wins": 69, "losses": 27, "score_as_black": 0.7291666865348816, "score_as_white": 0.7083333134651184, "mean_margin": 46.125, "mean_length": 115.10416666666667, "stones_captured_per_game": 56.385416666666664, "stones_lost_per_game": 13.177083333333334, "passes_per_game": 1.6875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 3, "end_move_limit": 0}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 71.0625, "mean_length": 118.53125, "stones_captured_per_game": 81.0625, "stones_lost_per_game": 2.59375, "passes_per_game": 2.0625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_21/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 29.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v18.py").read()
patch=r'''
# Smooth influence beyond immediate contact distinguishes contested
# boundaries from the interiors of larger frameworks.
for p in range(81):
for colour,ch in [(0,3),(1,4)]:
j=u(ch,p)
W[5][:,j]=0
B[5][j]=-cfg["territory_threshold"]
for q,dr,dc in rings[p]:
weight=float(np.exp(-(dr*dr+dc*dc-1)/
cfg.get("influence_width",3.5)))
W[5][u(colour,q),j]+=weight
W[5][u(1-colour,q),j]-=1.2*weight
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v20.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(temperature_scale=2.5,influence_width=3.5)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v20.npz",**tensors)
print("Saved v20: broader territorial influence discourages redundant interior moves.")
```{
"t": 1792790610.7572944,
"kind": "python",
"s": 1.42,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v18.py\").read()\npatch=r'''\n # Smooth influence beyond immediate contact distinguishes contested\n # boundaries from the interiors of larger frameworks.\n for p in range(81):\n for colour,ch in [(0,3),(1,4)]:\n j=u(ch,p)\n W[5][:,j]=0\n B[5][j]=-cfg[\"territory_threshold\"]\n for q,dr,dc in rings[p]:\n weight=float(np.exp(-(dr*dr+dc*dc-1)/\n cfg.get(\"influence_width\",3.5)))\n W[5][u(colour,q),j]+=weight\n W[5][u(1-colour,q),j]-=1.2*weight\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v20.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(temperature_scale=2.5,influence_width=3.5)\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_v20.npz\",**tensors)\nprint(\"Saved v20: broader territorial influence discourages redundant interior moves.\")\n",
"out": "Saved v20: broader territorial influence discourages redundant interior moves.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 25 of at most 120: ``` Saved v20: broader territorial influence discourages redundant interior moves. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790649.4383316,
"kind": "games",
"k": 22,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 22,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.78125,
"wins": 75,
"losses": 21,
"score_as_black": 0.75,
"score_as_white": 0.8125,
"mean_margin": 44.70833206176758,
"mean_length": 114.55208333333333,
"stones_captured_per_game": 56.916666666666664,
"stones_lost_per_game": 13.447916666666666,
"passes_per_game": 1.8541666666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 93,
"end_repetition": 2,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.9375,
"score_as_white": 0.9375,
"mean_margin": 67.90625,
"mean_length": 114.1875,
"stones_captured_per_game": 74.9375,
"stones_lost_per_game": 2.3125,
"passes_per_game": 1.84375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 31,
"end_repetition": 1,
"end_move_limit": 0
}
},
"files": "/work/pass_22/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 22 of 50 done.
```
{"ok": true, "pass": 22, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.78125, "wins": 75, "losses": 21, "score_as_black": 0.75, "score_as_white": 0.8125, "mean_margin": 44.70833206176758, "mean_length": 114.55208333333333, "stones_captured_per_game": 56.916666666666664, "stones_lost_per_game": 13.447916666666666, "passes_per_game": 1.8541666666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 93, "end_repetition": 2, "end_move_limit": 1}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.9375, "score_as_white": 0.9375, "mean_margin": 67.90625, "mean_length": 114.1875, "stones_captured_per_game": 74.9375, "stones_lost_per_game": 2.3125, "passes_per_game": 1.84375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 31, "end_repetition": 1, "end_move_limit": 0}}, "files": "/work/pass_22/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 28.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, collections, numpy as np
for k in [14,15,16,18,19,20,21,22]:
gs=json.load(open("/work/pass_%d/games.json"%k))
gs=[g for g in gs if g["opponent"]=="strong"]
print("pass",k)
for col in ["black","white"]:
a=[g for g in gs if g["net_color"]==col]
first=collections.Counter(next(m["move"] for m in g["moves"] if m["by"]=="opponent") for g in a)
margins=[g["margin"] for g in a if g["result"]<0]
print(col,"opponent first",first.most_common(6),"loss margins",margins)
```{
"t": 1792790808.0790427,
"kind": "python",
"s": 1.45,
"code": "import json, collections, numpy as np\nfor k in [14,15,16,18,19,20,21,22]:\n gs=json.load(open(\"/work/pass_%d/games.json\"%k))\n gs=[g for g in gs if g[\"opponent\"]==\"strong\"]\n print(\"pass\",k)\n for col in [\"black\",\"white\"]:\n a=[g for g in gs if g[\"net_color\"]==col]\n first=collections.Counter(next(m[\"move\"] for m in g[\"moves\"] if m[\"by\"]==\"opponent\") for g in a)\n margins=[g[\"margin\"] for g in a if g[\"result\"]<0]\n print(col,\"opponent first\",first.most_common(6),\"loss margins\",margins)\n",
"out": "pass 14\nblack opponent first [(40, 45), (49, 2), (61, 1)] loss margins [-6.5, -20.5, -13.5, -3.5, -9.5, -43.5, -9.5, -22.5, -23.5, -0.5]\nwhite opponent first [(40, 45), (48, 3)] loss margins [-0.5, -11.5, -9.5, -4.5, -2.5, -3.5, -14.5, -18.5, -33.5]\npass 15\nblack opponent first [(40, 53), (49, 8), (48, 1), (66, 1), (58, 1)] loss margins [-1.5, -11.5, -12.5, -2.5, -7.5, -13.5, -14.5, -8.5, -23.5, -18.5, -7.5, -6.5, -6.5, -18.5, -3.5]\nwhite opponent first [(40, 55), (48, 6), (49, 1), (31, 1), (50, 1)] loss margins [-10.5, -18.5, -4.5, -4.5, -5.5, -8.5, -5.5, -0.5, -18.5, -16.5, -6.5, -3.5, -5.5, -2.5, -0.5, -9.5]\npass 16\nblack opponent first [(40, 41), (49, 4), (58, 1), (50, 1), (11, 1)] loss margins [-23.5, -21.5, -8.5, -2.5, -16.5, 1.5, -9.5, -10.5, -28.5, -3.5, -1.5]\nwhite opponent first [(40, 45), (48, 2), (31, 1)] loss margins [-7.5, -8.5, -4.5, -32.5, -9.5, -21.5, 39.5, -3.5]\npass 18\nblack opponent first [(40, 42), (49, 5), (77, 1)] loss margins [-19.5, -9.5, -15.5, -0.5, -15.5, -17.5, -1.5, -11.5, -2.5, -15.5]\nwhite opponent first [(40, 42), (48, 4), (31, 2)] loss margins [-9.5, -7.5, -12.5, -17.5, -3.5, -8.5, -0.5, -4.5, -0.5, -5.5, -3.5]\npass 19\nblack opponent first [(40, 42), (49, 6)] loss margins [-1.5, -20.5, -5.5, -5.5, -8.5, -15.5, 11.5, -9.5, -4.5, -13.5, -9.5, -17.5]\nwhite opponent first [(40, 42), (48, 4), (31, 2)] loss margins [-4.5, -11.5, -9.5, -4.5, -0.5, -15.5, -17.5, -9.5, -4.5, -4.5]\npass 20\nblack opponent first [(40, 44), (49, 2), (58, 1), (43, 1)] loss margins [-10.5, -13.5, -7.5, -24.5, -19.5, -6.5, -31.5, -4.5, -12.5, -17.5, -8.5, -0.5, -4.5]\nwhite opponent first [(40, 42), (48, 5), (51, 1)] loss margins [-10.5, -5.5, -0.5, -8.5, -2.5, -43.5, -2.5, -11.5, -9.5]\npass 21\nblack opponent first [(40, 39), (49, 5), (58, 2), (48, 2)] loss margins [-17.5, 36.5, -24.5, -1.5, -22.5, -16.5, -2.5, -3.5, -5.5, -8.5, -15.5, -21.5, -0.5]\nwhite opponent first [(40, 46), (48, 2)] loss margins [-28.5, -11.5, -14.5, -5.5, -9.5, -3.5, -9.5, -2.5, -9.5, -4.5, -17.5, -13.5, -22.5, -4.5]\npass 22\nblack opponent first [(40, 45), (49, 3)] loss margins [22.5, -5.5, -4.5, -7.5, -11.5, -3.5, -19.5, -8.5, -3.5, -14.5, -6.5, -22.5]\nwhite opponent first [(40, 46), (50, 1), (48, 1)] loss margins [-64.5, -7.5, -10.5, -7.5, -12.5, -9.5, -5.5, -5.5, -7.5]\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 26 of at most 120: ``` pass 14 black opponent first [(40, 45), (49, 2), (61, 1)] loss margins [-6.5, -20.5, -13.5, -3.5, -9.5, -43.5, -9.5, -22.5, -23.5, -0.5] white opponent first [(40, 45), (48, 3)] loss margins [-0.5, -11.5, -9.5, -4.5, -2.5, -3.5, -14.5, -18.5, -33.5] pass 15 black opponent first [(40, 53), (49, 8), (48, 1), (66, 1), (58, 1)] loss margins [-1.5, -11.5, -12.5, -2.5, -7.5, -13.5, -14.5, -8.5, -23.5, -18.5, -7.5, -6.5, -6.5, -18.5, -3.5] white opponent first [(40, 55), (48, 6), (49, 1), (31, 1), (50, 1)] loss margins [-10.5, -18.5, -4.5, -4.5, -5.5, -8.5, -5.5, -0.5, -18.5, -16.5, -6.5, -3.5, -5.5, -2.5, -0.5, -9.5] pass 16 black opponent first [(40, 41), (49, 4), (58, 1), (50, 1), (11, 1)] loss margins [-23.5, -21.5, -8.5, -2.5, -16.5, 1.5, -9.5, -10.5, -28.5, -3.5, -1.5] white opponent first [(40, 45), (48, 2), (31, 1)] loss margins [-7.5, -8.5, -4.5, -32.5, -9.5, -21.5, 39.5, -3.5] pass 18 black opponent first [(40, 42), (49, 5), (77, 1)] loss margins [-19.5, -9.5, -15.5, -0.5, -15.5, -17.5, -1.5, -11.5, -2.5, -15.5] white opponent first [(40, 42), (48, 4), (31, 2)] loss margins [-9.5, -7.5, -12.5, -17.5, -3.5, -8.5, -0.5, -4.5, -0.5, -5.5, -3.5] pass 19 black opponent first [(40, 42), (49, 6)] loss margins [-1.5, -20.5, -5.5, -5.5, -8.5, -15.5, 11.5, -9.5, -4.5, -13.5, -9.5, -17.5] white opponent first [(40, 42), (48, 4), (31, 2)] loss margins [-4.5, -11.5, -9.5, -4.5, -0.5, -15.5, -17.5, -9.5, -4.5, -4.5] pass 20 black opponent first [(40, 44), (49, 2), (58, 1), (43, 1)] loss margins [-10.5, -13.5, -7.5, -24.5, -19.5, -6.5, -31.5, -4.5, -12.5, -17.5, -8.5, -0.5, -4.5] white opponent first [(40, 42), (48, 5), (51, 1)] loss margins [-10.5, -5.5, -0.5, -8.5, -2.5, -43.5, -2.5, -11.5, -9.5] pass 21 black opponent first [(40, 39), (49, 5), (58, 2), (48, 2)] loss margins [-17.5, 36.5, -24.5, -1.5, -22.5, -16.5, -2.5, -3.5, -5.5, -8.5, -15.5, -21.5, -0.5] white opponent first [(40, 46), (48, 2)] loss margins [-28.5, -11.5, -14.5, -5.5, -9.5, -3.5, -9.5, -2.5, -9.5, -4.5, -17.5, -13.5, -22.5, -4.5] pass 22 black opponent first [(40, 45), (49, 3)] loss margins [22.5, -5.5, -4.5, -7.5, -11.5, -3.5, -19.5, -8.5, -3.5, -14.5, -6.5, -22.5] white opponent first [(40, 46), (50, 1), (48, 1)] loss margins [-64.5, -7.5, -10.5, -7.5, -12.5, -9.5, -5.5, -5.5, -7.5] ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v18.py").read()
patch=r'''
# Four-four openings balance central influence with access to a
# corner, without committing to direct contact at the centre.
W[0][:,489]=0
B[0][489]=1
for p in range(81):
W[0][3*p,489]=-1
W[0][3*p+1,489]=-1
for k in range(1,6):
W[k][489,489]=1
for p in [30,32,48,50]:
OW[489,p]+=cfg.get("opening_four_four",6.0)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v21.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(opening_four_four=6.0,temperature_scale=2.5)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v21.npz",**tensors)
print("Saved v21: symmetric four-four opening choices.")
```{
"t": 1792790870.2138865,
"kind": "python",
"s": 1.26,
"code": "import 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",
"out": "Saved v21: symmetric four-four opening choices.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 27 of at most 120: ``` Saved v21: symmetric four-four opening choices. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792790904.9216652,
"kind": "games",
"k": 23,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 23,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.75,
"wins": 72,
"losses": 24,
"score_as_black": 0.7083333134651184,
"score_as_white": 0.7916666865348816,
"mean_margin": 47.69791793823242,
"mean_length": 115.57291666666667,
"stones_captured_per_game": 64.64583333333333,
"stones_lost_per_game": 12.427083333333334,
"passes_per_game": 1.8125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 94,
"end_repetition": 2,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 71.15625,
"mean_length": 115.65625,
"stones_captured_per_game": 77.59375,
"stones_lost_per_game": 2.75,
"passes_per_game": 1.8125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_23/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 23 of 50 done.
```
{"ok": true, "pass": 23, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.75, "wins": 72, "losses": 24, "score_as_black": 0.7083333134651184, "score_as_white": 0.7916666865348816, "mean_margin": 47.69791793823242, "mean_length": 115.57291666666667, "stones_captured_per_game": 64.64583333333333, "stones_lost_per_game": 12.427083333333334, "passes_per_game": 1.8125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 94, "end_repetition": 2, "end_move_limit": 0}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 71.15625, "mean_length": 115.65625, "stones_captured_per_game": 77.59375, "stones_lost_per_game": 2.75, "passes_per_game": 1.8125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_23/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 27.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v18.py").read()
patch=r'''
# Value additional territory at the contested boundary more than
# safe consolidation inside an existing sphere of influence.
for p in range(81):
B[5][u(3,p)]=-cfg.get("own_territory_threshold",0.5)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v22.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(own_territory=3.0,own_territory_threshold=0.5)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v22.npz",**tensors)
print("Saved v22: greater territorial ambition at contested boundaries.")
```{
"t": 1792791041.222882,
"kind": "python",
"s": 1.33,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v18.py\").read()\npatch=r'''\n # Value additional territory at the contested boundary more than\n # safe consolidation inside an existing sphere of influence.\n for p in range(81):\n B[5][u(3,p)]=-cfg.get(\"own_territory_threshold\",0.5)\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v22.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(own_territory=3.0,own_territory_threshold=0.5)\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_v22.npz\",**tensors)\nprint(\"Saved v22: greater territorial ambition at contested boundaries.\")\n",
"out": "Saved v22: greater territorial ambition at contested boundaries.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 28 of at most 120: ``` Saved v22: greater territorial ambition at contested boundaries. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792791072.9959004,
"kind": "games",
"k": 24,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 24,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.84375,
"wins": 81,
"losses": 15,
"score_as_black": 0.8333333134651184,
"score_as_white": 0.8541666865348816,
"mean_margin": 52.375,
"mean_length": 116.34375,
"stones_captured_per_game": 62.114583333333336,
"stones_lost_per_game": 10.927083333333334,
"passes_per_game": 1.9895833333333333,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 91,
"end_repetition": 3,
"end_move_limit": 2
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 69.65625,
"mean_length": 117.0625,
"stones_captured_per_game": 74.875,
"stones_lost_per_game": 3.28125,
"passes_per_game": 1.75,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 30,
"end_repetition": 1,
"end_move_limit": 1
}
},
"files": "/work/pass_24/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 24 of 50 done.
```
{"ok": true, "pass": 24, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.84375, "wins": 81, "losses": 15, "score_as_black": 0.8333333134651184, "score_as_white": 0.8541666865348816, "mean_margin": 52.375, "mean_length": 116.34375, "stones_captured_per_game": 62.114583333333336, "stones_lost_per_game": 10.927083333333334, "passes_per_game": 1.9895833333333333, "games_with_a_pass_before_move_60": 0, "end_two_passes": 91, "end_repetition": 3, "end_move_limit": 2}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 69.65625, "mean_length": 117.0625, "stones_captured_per_game": 74.875, "stones_lost_per_game": 3.28125, "passes_per_game": 1.75, "games_with_a_pass_before_move_60": 0, "end_two_passes": 30, "end_repetition": 1, "end_move_limit": 1}}, "files": "/work/pass_24/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 26.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792791106.0373852,
"kind": "games",
"k": 25,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 25,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.78125,
"wins": 100,
"losses": 28,
"score_as_black": 0.796875,
"score_as_white": 0.765625,
"mean_margin": 46.8359375,
"mean_length": 117.5234375,
"stones_captured_per_game": 59.65625,
"stones_lost_per_game": 15.7265625,
"passes_per_game": 1.8203125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 122,
"end_repetition": 5,
"end_move_limit": 1
}
},
"files": "/work/pass_25/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 25 of 50 done.
```
{"ok": true, "pass": 25, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.78125, "wins": 100, "losses": 28, "score_as_black": 0.796875, "score_as_white": 0.765625, "mean_margin": 46.8359375, "mean_length": 117.5234375, "stones_captured_per_game": 59.65625, "stones_lost_per_game": 15.7265625, "passes_per_game": 1.8203125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 122, "end_repetition": 5, "end_move_limit": 1}}, "files": "/work/pass_25/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 25.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v22.py").read()
patch=r'''
# A third-line framework is economical on 9x9: it can limit a
# central group while retaining room for eyes on the outside.
for p in range(81):
r,c=divmod(p,9)
if max(abs(r-4),abs(c-4))==2:
OB[p]+=cfg.get("framework_bonus",2.0)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v23.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg["framework_bonus"]=2.0
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v23.npz",**tensors)
print("Saved v23: a symmetric third-line framework prior.")
```{
"t": 1792791227.5923028,
"kind": "python",
"s": 1.42,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v22.py\").read()\npatch=r'''\n # A third-line framework is economical on 9x9: it can limit a\n # central group while retaining room for eyes on the outside.\n for p in range(81):\n r,c=divmod(p,9)\n if max(abs(r-4),abs(c-4))==2:\n OB[p]+=cfg.get(\"framework_bonus\",2.0)\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v23.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg[\"framework_bonus\"]=2.0\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_v23.npz\",**tensors)\nprint(\"Saved v23: a symmetric third-line framework prior.\")\n",
"out": "Saved v23: a symmetric third-line framework prior.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 29 of at most 120: ``` Saved v23: a symmetric third-line framework prior. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792791259.1643944,
"kind": "games",
"k": 26,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 26,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.84375,
"wins": 81,
"losses": 15,
"score_as_black": 0.8333333134651184,
"score_as_white": 0.8541666865348816,
"mean_margin": 55.76041793823242,
"mean_length": 117.5,
"stones_captured_per_game": 64.08333333333333,
"stones_lost_per_game": 10.739583333333334,
"passes_per_game": 1.5416666666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 96,
"end_repetition": 0,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 70.5,
"mean_length": 116.84375,
"stones_captured_per_game": 71.28125,
"stones_lost_per_game": 2.78125,
"passes_per_game": 1.5,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_26/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 26 of 50 done.
```
{"ok": true, "pass": 26, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.84375, "wins": 81, "losses": 15, "score_as_black": 0.8333333134651184, "score_as_white": 0.8541666865348816, "mean_margin": 55.76041793823242, "mean_length": 117.5, "stones_captured_per_game": 64.08333333333333, "stones_lost_per_game": 10.739583333333334, "passes_per_game": 1.5416666666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 96, "end_repetition": 0, "end_move_limit": 0}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 70.5, "mean_length": 116.84375, "stones_captured_per_game": 71.28125, "stones_lost_per_game": 2.78125, "passes_per_game": 1.5, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_26/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 24.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792791291.1933327,
"kind": "games",
"k": 27,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 27,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.796875,
"wins": 102,
"losses": 26,
"score_as_black": 0.75,
"score_as_white": 0.84375,
"mean_margin": 53.0703125,
"mean_length": 115.65625,
"stones_captured_per_game": 60.9921875,
"stones_lost_per_game": 9.9609375,
"passes_per_game": 1.6015625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 119,
"end_repetition": 8,
"end_move_limit": 1
}
},
"files": "/work/pass_27/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 27 of 50 done.
```
{"ok": true, "pass": 27, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.796875, "wins": 102, "losses": 26, "score_as_black": 0.75, "score_as_white": 0.84375, "mean_margin": 53.0703125, "mean_length": 115.65625, "stones_captured_per_game": 60.9921875, "stones_lost_per_game": 9.9609375, "passes_per_game": 1.6015625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 119, "end_repetition": 8, "end_move_limit": 1}}, "files": "/work/pass_27/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 23.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np, collections
g=json.load(open("/work/pass_27/games.json"))
b=np.load("/work/pass_27/boards.npy")
N=[]
for p in range(81):
r,c=divmod(p,9)
N.append([rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)]
if 0<=rr<9 and 0<=cc<9])
def groups(board):
out=[]; seen=set()
for p in range(81):
if board[p]==0 or p in seen: continue
st={p}; lib=set(); seen.add(p); todo=[p]
while todo:
q=todo.pop()
for a in N[q]:
if board[a]==0: lib.add(a)
elif board[a]==board[p] and a not in seen:
st.add(a);seen.add(a);todo.append(a)
out.append((int(board[p]),st,lib))
return out
for i,x in enumerate(g):
if x["end"]!="repetition": continue
t=len(x["moves"])-1
eq=[j for j in range(t) if np.array_equal(b[i,j],b[i,t])]
print("\nREPEAT",i,x["net_color"],"result",x["result"],"margin",x["margin"],
"ply",t,"earlier",eq)
print(json.dumps(x["moves"][-8:]))
pre=b[i,t-1]
mover=1 if t%2==0 else -1
p=x["moves"][-1]["move"]
print("move",divmod(p,9),"adjacent",[int(pre[q]) for q in N[p]],
"capturable",[(len(s),sorted(s),list(l)) for co,s,l in groups(pre)
if co==-mover and l=={p}])
print("\n".join("".join({0:".",1:"X",-1:"O"}[int(z)] for z in row)
for row in pre.reshape(9,9)))
```{
"t": 1792791322.0462253,
"kind": "python",
"s": 0.99,
"code": "import json, numpy as np, collections\ng=json.load(open(\"/work/pass_27/games.json\"))\nb=np.load(\"/work/pass_27/boards.npy\")\nN=[]\nfor p in range(81):\n r,c=divmod(p,9)\n N.append([rr*9+cc for rr,cc in [(r-1,c),(r+1,c),(r,c-1),(r,c+1)]\n if 0<=rr<9 and 0<=cc<9])\ndef groups(board):\n out=[]; seen=set()\n for p in range(81):\n if board[p]==0 or p in seen: continue\n st={p}; lib=set(); seen.add(p); todo=[p]\n while todo:\n q=todo.pop()\n for a in N[q]:\n if board[a]==0: lib.add(a)\n elif board[a]==board[p] and a not in seen:\n st.add(a);seen.add(a);todo.append(a)\n out.append((int(board[p]),st,lib))\n return out\nfor i,x in enumerate(g):\n if x[\"end\"]!=\"repetition\": continue\n t=len(x[\"moves\"])-1\n eq=[j for j in range(t) if np.array_equal(b[i,j],b[i,t])]\n print(\"\\nREPEAT\",i,x[\"net_color\"],\"result\",x[\"result\"],\"margin\",x[\"margin\"],\n \"ply\",t,\"earlier\",eq)\n print(json.dumps(x[\"moves\"][-8:]))\n pre=b[i,t-1]\n mover=1 if t%2==0 else -1\n p=x[\"moves\"][-1][\"move\"]\n print(\"move\",divmod(p,9),\"adjacent\",[int(pre[q]) for q in N[p]],\n \"capturable\",[(len(s),sorted(s),list(l)) for co,s,l in groups(pre)\n if co==-mover and l=={p}])\n print(\"\\n\".join(\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(z)] for z in row)\n for row in pre.reshape(9,9)))\n",
"out": "\nREPEAT 65 white result -1 margin 32.5 ply 81 earlier [78]\n[{\"ply\": 74, \"by\": \"opponent\", \"move\": 7}, {\"ply\": 75, \"by\": \"net\", \"move\": 0, \"top5\": [[0, 1.0], [5, 0.0], [8, 0.0], [79, 0.0], [4, 0.0]]}, {\"ply\": 76, \"by\": \"opponent\", \"move\": 79}, {\"ply\": 77, \"by\": \"net\", \"move\": 5, \"top5\": [[5, 0.6106], [8, 0.3893], [4, 0.0001], [81, 0.0], [6, 0.0]]}, {\"ply\": 78, \"by\": \"opponent\", \"move\": 6}, {\"ply\": 79, \"by\": \"net\", \"move\": 8, \"top5\": [[8, 1.0], [81, 0.0], [26, 0.0], [30, 0.0], [65, 0.0]]}, {\"ply\": 80, \"by\": \"opponent\", \"move\": 26}, {\"ply\": 81, \"by\": \"net\", \"move\": 17, \"top5\": [[17, 0.8699], [81, 0.1301], [8, 0.0], [30, 0.0], [65, 0.0]]}]\nmove (1, 8) adjacent [0, 1, 1] capturable [(1, [26], [17])]\nOOXX.OXX.\n.OXXXXXX.\nOOXOOOXOX\nO.O.O.OOO\n.OOO.OO.O\nO.O.OOOOO\nOOOOXXOXX\n.O.OXXXXX\nO.OX.X.X.\n\nREPEAT 73 white result 1 margin 15.5 ply 56 earlier [53]\n[{\"ply\": 49, \"by\": \"net\", \"move\": 16, \"top5\": [[16, 0.8155], [68, 0.0669], [6, 0.0591], [27, 0.0358], [60, 0.0153]]}, {\"ply\": 50, \"by\": \"opponent\", \"move\": 69}, {\"ply\": 51, \"by\": \"net\", \"move\": 6, \"top5\": [[6, 1.0], [60, 0.0], [68, 0.0], [27, 0.0], [18, 0.0]]}, {\"ply\": 52, \"by\": \"opponent\", \"move\": 17}, {\"ply\": 53, \"by\": \"net\", \"move\": 60, \"top5\": [[60, 0.9975], [68, 0.0019], [27, 0.0003], [26, 0.0002], [18, 0.0]]}, {\"ply\": 54, \"by\": \"opponent\", \"move\": 54}, {\"ply\": 55, \"by\": \"net\", \"move\": 72, \"top5\": [[72, 1.0], [68, 0.0], [27, 0.0], [26, 0.0], [18, 0.0]]}, {\"ply\": 56, \"by\": \"opponent\", \"move\": 63}]\nmove (7, 0) adjacent [0, -1, -1] capturable [(1, [72], [63])]\n...X..O..\n.XOXXO.OX\n.XOOOOO..\n.XXXO.OO.\nOOOXXOO..\nO.OXXO...\n.OOOXOO..\n.OXXX.X..\nOX.......\n\nREPEAT 83 white result -1 margin 5.5 ply 107 earlier [102, 103]\n[{\"ply\": 100, \"by\": \"opponent\", \"move\": 72}, {\"ply\": 101, \"by\": \"net\", \"move\": 4, \"top5\": [[4, 1.0], [2, 0.0], [81, 0.0], [1, 0.0], [0, 0.0]]}, {\"ply\": 102, \"by\": \"opponent\", \"move\": 2}, {\"ply\": 103, \"by\": \"net\", \"move\": 81, \"top5\": [[81, 0.6457], [5, 0.3543], [32, 0.0], [52, 0.0], [44, 0.0]]}, {\"ply\": 104, \"by\": \"opponent\", \"move\": 5}, {\"ply\": 105, \"by\": \"net\", \"move\": 4, \"top5\": [[4, 0.9964], [81, 0.0036], [3, 0.0], [32, 0.0], [15, 0.0]]}, {\"ply\": 106, \"by\": \"opponent\", \"move\": 81}, {\"ply\": 107, \"by\": \"net\", \"move\": 3, \"top5\": [[3, 1.0], [81, 0.0], [5, 0.0], [32, 0.0], [0, 0.0]]}]\nmove (0, 3) adjacent [1, 1, -1] capturable []\nX.X.O.OO.\nXXXXXO.OO\nXXXOOOOO.\nXXOOO.O.O\nXXOOXOOO.\nXXOXXXO.O\nXXXXXXOOO\nXXXO.XXXO\nXXXXXXXXO\n\nREPEAT 86 white result 1 margin 44.5 ply 102 earlier [99]\n[{\"ply\": 95, \"by\": \"net\", \"move\": 7, \"top5\": [[7, 0.9804], [78, 0.0196], [81, 0.0], [16, 0.0], [26, 0.0]]}, {\"ply\": 96, \"by\": \"opponent\", \"move\": 35}, {\"ply\": 97, \"by\": \"net\", \"move\": 16, \"top5\": [[16, 1.0], [78, 0.0], [8, 0.0], [81, 0.0], [36, 0.0]]}, {\"ply\": 98, \"by\": \"opponent\", \"move\": 5}, {\"ply\": 99, \"by\": \"net\", \"move\": 6, \"top5\": [[6, 1.0], [15, 0.0], [8, 0.0], [78, 0.0], [81, 0.0]]}, {\"ply\": 100, \"by\": \"opponent\", \"move\": 8}, {\"ply\": 101, \"by\": \"net\", \"move\": 26, \"top5\": [[26, 1.0], [78, 0.0], [81, 0.0], [36, 0.0], [80, 0.0]]}, {\"ply\": 102, \"by\": \"opponent\", \"move\": 17}]\nmove (1, 8) adjacent [0, -1, -1] capturable [(1, [26], [17])]\nO.OOO.OO.\n.OOO.O.O.\nOO.OOOOXO\nOOOXXXXXX\n.XOXXOOXX\nXOOXOOOX.\nOOOOOO.OX\n.O.OO.OOO\nO.OO.O.X.\n\nREPEAT 91 white result -1 margin 22.5 ply 95 earlier [92]\n[{\"ply\": 88, \"by\": \"opponent\", \"move\": 8}, {\"ply\": 89, \"by\": \"net\", \"move\": 26, \"top5\": [[26, 0.7455], [3, 0.1838], [73, 0.0693], [72, 0.0008], [81, 0.0005]]}, {\"ply\": 90, \"by\": \"opponent\", \"move\": 17}, {\"ply\": 91, \"by\": \"net\", \"move\": 3, \"top5\": [[3, 0.7219], [73, 0.2723], [72, 0.003], [81, 0.0027], [74, 0.0002]]}, {\"ply\": 92, \"by\": \"opponent\", \"move\": 63}, {\"ply\": 93, \"by\": \"net\", \"move\": 4, \"top5\": [[4, 1.0], [73, 0.0], [81, 0.0], [74, 0.0], [72, 0.0]]}, {\"ply\": 94, \"by\": \"opponent\", \"move\": 2}, {\"ply\": 95, \"by\": \"net\", \"move\": 3, \"top5\": [[3, 0.696], [73, 0.2975], [81, 0.0033], [74, 0.0031], [4, 0.0]]}]\nmove (0, 3) adjacent [1, 1, 0] capturable [(1, [2], [3])]\nOOX..X.OX\n.OOXXXXXX\nOOOXOOOX.\nO.OXXXOXX\nOOOOXOOOO\nOXOXOO.OO\nXXXXXOOO.\nXXXXO.O.O\n...XOOOOO\n\nREPEAT 108 white result -1 margin 37.5 ply 93 earlier [90]\n[{\"ply\": 86, \"by\": \"opponent\", \"move\": 44}, {\"ply\": 87, \"by\": \"net\", \"move\": 34, \"top5\": [[34, 0.9892], [3, 0.0073], [53, 0.0035], [1, 0.0], [10, 0.0]]}, {\"ply\": 88, \"by\": \"opponent\", \"move\": 77}, {\"ply\": 89, \"by\": \"net\", \"move\": 53, \"top5\": [[53, 1.0], [3, 0.0], [1, 0.0], [81, 0.0], [10, 0.0]]}, {\"ply\": 90, \"by\": \"opponent\", \"move\": 0}, {\"ply\": 91, \"by\": \"net\", \"move\": 3, \"top5\": [[3, 1.0], [10, 0.0], [81, 0.0], [1, 0.0], [5, 0.0]]}, {\"ply\": 92, \"by\": \"opponent\", \"move\": 5}, {\"ply\": 93, \"by\": \"net\", \"move\": 4, \"top5\": [[15, 0.7621], [4, 0.2353], [10, 0.0019], [81, 0.0007], [3, 0.0]]}]\nmove (0, 4) adjacent [1, 0, 1] capturable [(1, [5], [4])]\nX.X..XOX.\nX.XXXO.OX\nXXXOOOOOX\nXOO.O.OOX\nO.OO.O.OX\nOO.OO.OOO\nO.OO.OO.O\n.OOOOXOOX\nO.OOXXXX.\n\nREPEAT 119 white result 1 margin 36.5 ply 96 earlier [90]\n[{\"ply\": 89, \"by\": \"net\", \"move\": 50, \"top5\": [[50, 1.0], [81, 0.0], [42, 0.0], [41, 0.0], [23, 0.0]]}, {\"ply\": 90, \"by\": \"opponent\", \"move\": 36}, {\"ply\": 91, \"by\": \"net\", \"move\": 27, \"top5\": [[18, 0.5245], [27, 0.4746], [81, 0.0009], [42, 0.0], [41, 0.0]]}, {\"ply\": 92, \"by\": \"opponent\", \"move\": 0}, {\"ply\": 93, \"by\": \"net\", \"move\": 18, \"top5\": [[18, 1.0], [0, 0.0], [1, 0.0], [2, 0.0], [3, 0.0]]}, {\"ply\": 94, \"by\": \"opponent\", \"move\": 1}, {\"ply\": 95, \"by\": \"net\", \"move\": 81, \"top5\": [[81, 0.9901], [0, 0.0097], [9, 0.0002], [42, 0.0], [41, 0.0]]}, {\"ply\": 96, \"by\": \"opponent\", \"move\": 9}]\nmove (1, 0) adjacent [0, -1, -1] capturable [(2, [18, 27], [9])]\n.XO.OX.XO\n.OOO.OXOO\nOXO.O.OO.\nOXOO.OO.O\nXXO.O..OO\nXXOOOOO.O\nXXOOO.OOO\nXXXXOOO.O\n.X.XXO.OO\n\nREPEAT 123 white result -1 margin 37.5 ply 105 earlier [102]\n[{\"ply\": 98, \"by\": \"opponent\", \"move\": 4}, {\"ply\": 99, \"by\": \"net\", \"move\": 16, \"top5\": [[16, 1.0], [8, 0.0], [62, 0.0], [81, 0.0], [63, 0.0]]}, {\"ply\": 100, \"by\": \"opponent\", \"move\": 62}, {\"ply\": 101, \"by\": \"net\", \"move\": 53, \"top5\": [[53, 0.7493], [44, 0.2494], [81, 0.0013], [70, 0.0], [63, 0.0]]}, {\"pl"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 30 of at most 120:
```
REPEAT 65 white result -1 margin 32.5 ply 81 earlier [78]
[{"ply": 74, "by": "opponent", "move": 7}, {"ply": 75, "by": "net", "move": 0, "top5": [[0, 1.0], [5, 0.0], [8, 0.0], [79, 0.0], [4, 0.0]]}, {"ply": 76, "by": "opponent", "move": 79}, {"ply": 77, "by": "net", "move": 5, "top5": [[5, 0.6106], [8, 0.3893], [4, 0.0001], [81, 0.0], [6, 0.0]]}, {"ply": 78, "by": "opponent", "move": 6}, {"ply": 79, "by": "net", "move": 8, "top5": [[8, 1.0], [81, 0.0], [26, 0.0], [30, 0.0], [65, 0.0]]}, {"ply": 80, "by": "opponent", "move": 26}, {"ply": 81, "by": "net", "move": 17, "top5": [[17, 0.8699], [81, 0.1301], [8, 0.0], [30, 0.0], [65, 0.0]]}]
move (1, 8) adjacent [0, 1, 1] capturable [(1, [26], [17])]
OOXX.OXX.
.OXXXXXX.
OOXOOOXOX
O.O.O.OOO
.OOO.OO.O
O.O.OOOOO
OOOOXXOXX
.O.OXXXXX
O.OX.X.X.
REPEAT 73 white result 1 margin 15.5 ply 56 earlier [53]
[{"ply": 49, "by": "net", "move": 16, "top5": [[16, 0.8155], [68, 0.0669], [6, 0.0591], [27, 0.0358], [60, 0.0153]]}, {"ply": 50, "by": "opponent", "move": 69}, {"ply": 51, "by": "net", "move": 6, "top5": [[6, 1.0], [60, 0.0], [68, 0.0], [27, 0.0], [18, 0.0]]}, {"ply": 52, "by": "opponent", "move": 17}, {"ply": 53, "by": "net", "move": 60, "top5": [[60, 0.9975], [68, 0.0019], [27, 0.0003], [26, 0.0002], [18, 0.0]]}, {"ply": 54, "by": "opponent", "move": 54}, {"ply": 55, "by": "net", "move": 72, "top5": [[72, 1.0], [68, 0.0], [27, 0.0], [26, 0.0], [18, 0.0]]}, {"ply": 56, "by": "opponent", "move": 63}]
move (7, 0) adjacent [0, -1, -1] capturable [(1, [72], [63])]
...X..O..
.XOXXO.OX
.XOOOOO..
.XXXO.OO.
OOOXXOO..
O.OXXO...
.OOOXOO..
.OXXX.X..
OX.......
REPEAT 83 white result -1 margin 5.5 ply 107 earlier [102, 103]
[{"ply": 100, "by": "opponent", "move": 72}, {"ply": 101, "by": "net", "move": 4, "top5": [[4, 1.0], [2, 0.0], [81, 0.0], [1, 0.0], [0, 0.0]]}, {"ply": 102, "by": "opponent", "move": 2}, {"ply": 103, "by": "net", "move": 81, "top5": [[81, 0.6457], [5, 0.3543], [32, 0.0], [52, 0.0], [44, 0.0]]}, {"ply": 104, "by": "opponent", "move": 5}, {"ply": 105, "by": "net", "move": 4, "top5": [[4, 0.9964], [81, 0.0036], [3, 0.0], [32, 0.0], [15, 0.0]]}, {"ply": 106, "by": "opponent", "move": 81}, {"ply": 107, "by": "net", "move": 3, "top5": [[3, 1.0], [81, 0.0], [5, 0.0], [32, 0.0], [0, 0.0]]}]
move (0, 3) adjacent [1, 1, -1] capturable []
X.X.O.OO.
XXXXXO.OO
XXXOOOOO.
XXOOO.O.O
XXOOXOOO.
XXOXXXO.O
XXXXXXOOO
XXXO.XXXO
XXXXXXXXO
REPEAT 86 white result 1 margin 44.5 ply 102 earlier [99]
[{"ply": 95, "by": "net", "move": 7, "top5": [[7, 0.9804], [78, 0.0196], [81, 0.0], [16, 0.0], [26, 0.0]]}, {"ply": 96, "by": "opponent", "move": 35}, {"ply": 97, "by": "net", "move": 16, "top5": [[16, 1.0], [78, 0.0], [8, 0.0], [81, 0.0], [36, 0.0]]}, {"ply": 98, "by": "opponent", "move": 5}, {"ply": 99, "by": "net", "move": 6, "top5": [[6, 1.0], [15, 0.0], [8, 0.0], [78, 0.0], [81, 0.0]]}, {"ply": 100, "by": "opponent", "move": 8}, {"ply": 101, "by": "net", "move": 26, "top5": [[26, 1.0], [78, 0.0], [81, 0.0], [36, 0.0], [80, 0.0]]}, {"ply": 102, "by": "opponent", "move": 17}]
move (1, 8) adjacent [0, -1, -1] capturable [(1, [26], [17])]
O.OOO.OO.
.OOO.O.O.
OO.OOOOXO
OOOXXXXXX
.XOXXOOXX
XOOXOOOX.
OOOOOO.OX
.O.OO.OOO
O.OO.O.X.
REPEAT 91 white result -1 margin 22.5 ply 95 earlier [92]
[{"ply": 88, "by": "opponent", "move": 8}, {"ply": 89, "by": "net", "move": 26, "top5": [[26, 0.7455], [3, 0.1838], [73, 0.0693], [72, 0.0008], [81, 0.0005]]}, {"ply": 90, "by": "opponent", "move": 17}, {"ply": 91, "by": "net", "move": 3, "top5": [[3, 0.7219], [73, 0.2723], [72, 0.003], [81, 0.0027], [74, 0.0002]]}, {"ply": 92, "by": "opponent", "move": 63}, {"ply": 93, "by": "net", "move": 4, "top5": [[4, 1.0], [73, 0.0], [81, 0.0], [74, 0.0], [72, 0.0]]}, {"ply": 94, "by": "opponent", "move": 2}, {"ply": 95, "by": "net", "move": 3, "top5": [[3, 0.696], [73, 0.2975], [81, 0.0033], [74, 0.0031], [4, 0.0]]}]
move (0, 3) adjacent [1, 1, 0] capturable [(1, [2], [3])]
OOX..X.OX
.OOXXXXXX
OOOXOOOX.
O.OXXXOXX
OOOOXOOOO
OXOXOO.OO
XXXXXOOO.
XXXXO.O.O
...XOOOOO
REPEAT 108 white result -1 margin 37.5 ply 93 earlier [90]
[{"ply": 86, "by": "opponent", "move": 44}, {"ply": 87, "by": "net", "move": 34, "top5": [[34, 0.9892], [3, 0.0073], [53, 0.0035], [1, 0.0], [10, 0.0]]}, {"ply": 88, "by": "opponent", "move": 77}, {"ply": 89, "by": "net", "move": 53, "top5": [[53, 1.0], [3, 0.0], [1, 0.0], [81, 0.0], [10, 0.0]]}, {"ply": 90, "by": "opponent", "move": 0}, {"ply": 91, "by": "net", "move": 3, "top5": [[3, 1.0], [10, 0.0], [81, 0.0], [1, 0.0], [5, 0.0]]}, {"ply": 92, "by": "opponent", "move": 5}, {"ply": 93, "by": "net", "move": 4, "top5": [[15, 0.7621], [4, 0.2353], [10, 0.0019], [81, 0.0007], [3, 0.0]]}]
move (0, 4) adjacent [1, 0, 1] capturable [(1, [5], [4])]
X.X..XOX.
X.XXXO.OX
XXXOOOOOX
XOO.O.OOX
O.OO.O.OX
OO.OO.OOO
O.OO.OO.O
.OOOOXOOX
O.OOXXXX.
REPEAT 119 white result 1 margin 36.5 ply 96 earlier [90]
[{"ply": 89, "by": "net", "move": 50, "top5": [[50, 1.0], [81, 0.0], [42, 0.0], [41, 0.0], [23, 0.0]]}, {"ply": 90, "by": "opponent", "move": 36}, {"ply": 91, "by": "net", "move": 27, "top5": [[18, 0.5245], [27, 0.4746], [81, 0.0009], [42, 0.0], [41, 0.0]]}, {"ply": 92, "by": "opponent", "move": 0}, {"ply": 93, "by": "net", "move": 18, "top5": [[18, 1.0], [0, 0.0], [1, 0.0], [2, 0.0], [3, 0.0]]}, {"ply": 94, "by": "opponent", "move": 1}, {"ply": 95, "by": "net", "move": 81, "top5": [[81, 0.9901], [0, 0.0097], [9, 0.0002], [42, 0.0], [41, 0.0]]}, {"ply": 96, "by": "opponent", "move": 9}]
move (1, 0) adjacent [0, -1, -1] capturable [(2, [18, 27], [9])]
.XO.OX.XO
.OOO.OXOO
OXO.O.OO.
OXOO.OO.O
XXO.O..OO
XXOOOOO.O
XXOOO.OOO
XXXXOOO.O
.X.XXO.OO
REPEAT 123 white result -1 margin 37.5 ply 105 earlier [102]
[{"ply": 98, "by": "opponent", "move": 4}, {"ply": 99, "by": "net", "move": 16, "top5": [[16, 1.0], [8, 0.0], [62, 0.0], [81, 0.0], [63, 0.0]]}, {"ply": 100, "by": "opponent", "move": 62}, {"ply": 101, "by": "net", "move": 53, "top5": [[53, 0.7493], [44, 0.2494], [81, 0.0013], [70, 0.0], [63, 0.0]]}, {"ply": 102, "by": "opponent", "move": 8}, {"ply": 103, "by": "net", "move": 44, "top5": [[44, 1.0], [81, 0.0], [17, 0.0], [16, 0.0], [62, 0.0]]}, {"ply": 104, "by": "opponent", "move": 62}, {"ply": 105, "by": "net", "move": 53, "top5": [[53, 0.9987], [81, 0.0013], [44, 0.0], [17, 0.0], [16, 0.0]]}]
move (5, 8) adjacent [0, 1, 1] capturable [(1, [62], [53])]
XXXXXXXXX
XOOXX.X..
OOOOOXXXX
OO.OOXOXX
.OO.OOOX.
OOOO.OOX.
O.OOOOOOX
.O.OO.O.O
O.OO.OOOO
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v23.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=json.load(open("/work/policy_config.json"))
cfg["repeat_risk"]=80.0
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v24.npz",**tensors)
print("Saved v24: isolated singleton recapture risk now dominates all local tactical bonuses.")
print("This avoids treating several nearby weak stones as justification for a repetition-prone recapture.")
```{
"t": 1792791423.2475958,
"kind": "python",
"s": 1.38,
"code": "import 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[\"repeat_risk\"]=80.0\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v24.npz\",**tensors)\nprint(\"Saved v24: isolated singleton recapture risk now dominates all local tactical bonuses.\")\nprint(\"This avoids treating several nearby weak stones as justification for a repetition-prone recapture.\")\n",
"out": "Saved v24: isolated singleton recapture risk now dominates all local tactical bonuses.\nThis avoids treating several nearby weak stones as justification for a repetition-prone recapture.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 31 of at most 120: ``` Saved v24: isolated singleton recapture risk now dominates all local tactical bonuses. This avoids treating several nearby weak stones as justification for a repetition-prone recapture. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792791458.7427585,
"kind": "games",
"k": 28,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 28,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.8541666865348816,
"wins": 82,
"losses": 14,
"score_as_black": 0.8333333134651184,
"score_as_white": 0.875,
"mean_margin": 53.98958206176758,
"mean_length": 114.01041666666667,
"stones_captured_per_game": 62.083333333333336,
"stones_lost_per_game": 7.666666666666667,
"passes_per_game": 1.3854166666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 92,
"end_repetition": 4,
"end_move_limit": 0
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 72.71875,
"mean_length": 118.5625,
"stones_captured_per_game": 70.1875,
"stones_lost_per_game": 1.25,
"passes_per_game": 1.65625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_28/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 28 of 50 done.
```
{"ok": true, "pass": 28, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.8541666865348816, "wins": 82, "losses": 14, "score_as_black": 0.8333333134651184, "score_as_white": 0.875, "mean_margin": 53.98958206176758, "mean_length": 114.01041666666667, "stones_captured_per_game": 62.083333333333336, "stones_lost_per_game": 7.666666666666667, "passes_per_game": 1.3854166666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 92, "end_repetition": 4, "end_move_limit": 0}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 72.71875, "mean_length": 118.5625, "stones_captured_per_game": 70.1875, "stones_lost_per_game": 1.25, "passes_per_game": 1.65625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_28/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 22.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, collections
g=json.load(open("/work/pass_28/games.json"))
print(collections.Counter((x["opponent"],x["end"],x["result"]) for x in g))
for i,x in enumerate(g):
if x["end"]=="repetition":
print(i,x["net_color"],x["result"],x["margin"],x["moves"][-4:])
```{
"t": 1792791477.5623229,
"kind": "python",
"s": 0.75,
"code": "import json, collections\ng=json.load(open(\"/work/pass_28/games.json\"))\nprint(collections.Counter((x[\"opponent\"],x[\"end\"],x[\"result\"]) for x in g))\nfor i,x in enumerate(g):\n if x[\"end\"]==\"repetition\":\n print(i,x[\"net_color\"],x[\"result\"],x[\"margin\"],x[\"moves\"][-4:])\n",
"out": "Counter({('strong', 'two passes', 1): 80, ('weak', 'two passes', 1): 32, ('strong', 'two passes', -1): 12, ('strong', 'repetition', 1): 2, ('strong', 'repetition', -1): 2})\n26 black 1 53.5 [{'ply': 104, 'by': 'net', 'move': 67, 'top5': [[67, 1.0], [77, 0.0], [72, 0.0], [81, 0.0], [55, 0.0]]}, {'ply': 105, 'by': 'opponent', 'move': 77}, {'ply': 106, 'by': 'net', 'move': 75, 'top5': [[75, 1.0], [72, 0.0], [69, 0.0], [81, 0.0], [0, 0.0]]}, {'ply': 107, 'by': 'opponent', 'move': 76}]\n44 black -1 -5.5 [{'ply': 87, 'by': 'opponent', 'move': 81}, {'ply': 88, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [5, 0.0], [81, 0.0], [6, 0.0], [75, 0.0]]}, {'ply': 89, 'by': 'opponent', 'move': 27}, {'ply': 90, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [5, 0.0], [81, 0.0], [0, 0.0], [6, 0.0]]}]\n55 white 1 20.5 [{'ply': 69, 'by': 'net', 'move': 62, 'top5': [[26, 0.4909], [54, 0.2762], [62, 0.1655], [1, 0.0326], [9, 0.0241]]}, {'ply': 70, 'by': 'opponent', 'move': 54}, {'ply': 71, 'by': 'net', 'move': 72, 'top5': [[72, 1.0], [26, 0.0], [1, 0.0], [71, 0.0], [9, 0.0]]}, {'ply': 72, 'by': 'opponent', 'move': 63}]\n84 white -1 -6.5 [{'ply': 108, 'by': 'opponent', 'move': 81}, {'ply': 109, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [46, 0.0], [60, 0.0], [8, 0.0]]}, {'ply': 110, 'by': 'opponent', 'move': 8}, {'ply': 111, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}]\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 32 of at most 120:
```
Counter({('strong', 'two passes', 1): 80, ('weak', 'two passes', 1): 32, ('strong', 'two passes', -1): 12, ('strong', 'repetition', 1): 2, ('strong', 'repetition', -1): 2})
26 black 1 53.5 [{'ply': 104, 'by': 'net', 'move': 67, 'top5': [[67, 1.0], [77, 0.0], [72, 0.0], [81, 0.0], [55, 0.0]]}, {'ply': 105, 'by': 'opponent', 'move': 77}, {'ply': 106, 'by': 'net', 'move': 75, 'top5': [[75, 1.0], [72, 0.0], [69, 0.0], [81, 0.0], [0, 0.0]]}, {'ply': 107, 'by': 'opponent', 'move': 76}]
44 black -1 -5.5 [{'ply': 87, 'by': 'opponent', 'move': 81}, {'ply': 88, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [5, 0.0], [81, 0.0], [6, 0.0], [75, 0.0]]}, {'ply': 89, 'by': 'opponent', 'move': 27}, {'ply': 90, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [5, 0.0], [81, 0.0], [0, 0.0], [6, 0.0]]}]
55 white 1 20.5 [{'ply': 69, 'by': 'net', 'move': 62, 'top5': [[26, 0.4909], [54, 0.2762], [62, 0.1655], [1, 0.0326], [9, 0.0241]]}, {'ply': 70, 'by': 'opponent', 'move': 54}, {'ply': 71, 'by': 'net', 'move': 72, 'top5': [[72, 1.0], [26, 0.0], [1, 0.0], [71, 0.0], [9, 0.0]]}, {'ply': 72, 'by': 'opponent', 'move': 63}]
84 white -1 -6.5 [{'ply': 108, 'by': 'opponent', 'move': 81}, {'ply': 109, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [46, 0.0], [60, 0.0], [8, 0.0]]}, {'ply': 110, 'by': 'opponent', 'move': 8}, {'ply': 111, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}]
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
g=json.load(open("/work/pass_28/games.json"))
b=np.load("/work/pass_28/boards.npy")
for i in [44,84]:
x=g[i]; t=len(x["moves"])-1
print("\nGAME",i,"colour",x["net_color"],"last moves",x["moves"][-10:])
for j in range(t-4,t+1):
print("ply",j,"action",x["moves"][j]["move"])
print("\n".join("".join({0:".",1:"X",-1:"O"}[int(z)] for z in row)
for row in b[i,j].reshape(9,9)))
```{
"t": 1792791590.509894,
"kind": "python",
"s": 0.95,
"code": "import json, numpy as np\ng=json.load(open(\"/work/pass_28/games.json\"))\nb=np.load(\"/work/pass_28/boards.npy\")\nfor i in [44,84]:\n x=g[i]; t=len(x[\"moves\"])-1\n print(\"\\nGAME\",i,\"colour\",x[\"net_color\"],\"last moves\",x[\"moves\"][-10:])\n for j in range(t-4,t+1):\n print(\"ply\",j,\"action\",x[\"moves\"][j][\"move\"])\n print(\"\\n\".join(\"\".join({0:\".\",1:\"X\",-1:\"O\"}[int(z)] for z in row)\n for row in b[i,j].reshape(9,9)))\n",
"out": "\nGAME 44 colour black last moves [{'ply': 81, 'by': 'opponent', 'move': 63}, {'ply': 82, 'by': 'net', 'move': 54, 'top5': [[54, 0.9406], [9, 0.0594], [7, 0.0], [81, 0.0], [0, 0.0]]}, {'ply': 83, 'by': 'opponent', 'move': 35}, {'ply': 84, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [7, 0.0], [81, 0.0], [0, 0.0], [8, 0.0]]}, {'ply': 85, 'by': 'opponent', 'move': 7}, {'ply': 86, 'by': 'net', 'move': 18, 'top5': [[18, 1.0], [0, 0.0], [1, 0.0], [2, 0.0], [3, 0.0]]}, {'ply': 87, 'by': 'opponent', 'move': 81}, {'ply': 88, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [5, 0.0], [81, 0.0], [6, 0.0], [75, 0.0]]}, {'ply': 89, 'by': 'opponent', 'move': 27}, {'ply': 90, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [5, 0.0], [81, 0.0], [0, 0.0], [6, 0.0]]}]\nply 86 action 18\n.OOOO..O.\nXOOOOOOOX\nXOXXXXO.O\n.XXOOOOOO\nXXXXOXOXO\nX.XOOXXXX\nXX.XOXOX.\nOXXXOOOXX\n.OX.XXX.X\nply 87 action 81\n.OOOO..O.\nXOOOOOOOX\nXOXXXXO.O\n.XXOOOOOO\nXXXXOXOXO\nX.XOOXXXX\nXX.XOXOX.\nOXXXOOOXX\n.OX.XXX.X\nply 88 action 0\nXOOOO..O.\nXOOOOOOOX\nXOXXXXO.O\n.XXOOOOOO\nXXXXOXOXO\nX.XOOXXXX\nXX.XOXOX.\nOXXXOOOXX\n.OX.XXX.X\nply 89 action 27\n.OOOO..O.\n.OOOOOOOX\n.OXXXXO.O\nOXXOOOOOO\nXXXXOXOXO\nX.XOOXXXX\nXX.XOXOX.\nOXXXOOOXX\n.OX.XXX.X\nply 90 action 9\n.OOOO..O.\nXOOOOOOOX\n.OXXXXO.O\nOXXOOOOOO\nXXXXOXOXO\nX.XOOXXXX\nXX.XOXOX.\nOXXXOOOXX\n.OX.XXX.X\n\nGAME 84 colour white last moves [{'ply': 102, 'by': 'opponent', 'move': 8}, {'ply': 103, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}, {'ply': 104, 'by': 'opponent', 'move': 0}, {'ply': 105, 'by': 'net', 'move': 16, 'top5': [[16, 1.0], [81, 0.0], [6, 0.0], [46, 0.0], [60, 0.0]]}, {'ply': 106, 'by': 'opponent', 'move': 81}, {'ply': 107, 'by': 'net', 'move': 17, 'top5': [[17, 1.0], [81, 0.0], [6, 0.0], [46, 0.0], [60, 0.0]]}, {'ply': 108, 'by': 'opponent', 'move': 81}, {'ply': 109, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [46, 0.0], [60, 0.0], [8, 0.0]]}, {'ply': 110, 'by': 'opponent', 'move': 8}, {'ply': 111, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}]\nply 107 action 17\nXXXXXX.O.\nXXXX.XXOO\nXOXXX.XXX\nOOOXXXXXX\n.OOOXOXOO\nO.OXXOOO.\nXOOOXO.OO\nXXXXXXO.O\nXXXXXXOOO\nply 108 action 81\nXXXXXX.O.\nXXXX.XXOO\nXOXXX.XXX\nOOOXXXXXX\n.OOOXOXOO\nO.OXXOOO.\nXOOOXO.OO\nXXXXXXO.O\nXXXXXXOOO\nply 109 action 6\nXXXXXXOO.\nXXXX.XXOO\nXOXXX.XXX\nOOOXXXXXX\n.OOOXOXOO\nO.OXXOOO.\nXOOOXO.OO\nXXXXXXO.O\nXXXXXXOOO\nply 110 action 8\nXXXXXX..X\nXXXX.XX..\nXOXXX.XXX\nOOOXXXXXX\n.OOOXOXOO\nO.OXXOOO.\nXOOOXO.OO\nXXXXXXO.O\nXXXXXXOOO\nply 111 action 7\nXXXXXX.OX\nXXXX.XX..\nXOXXX.XXX\nOOOXXXXXX\n.OOOXOXOO\nO.OXXOOO.\nXOOOXO.OO\nXXXXXXO.O\nXXXXXXOOO\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 33 of at most 120:
```
GAME 44 colour black last moves [{'ply': 81, 'by': 'opponent', 'move': 63}, {'ply': 82, 'by': 'net', 'move': 54, 'top5': [[54, 0.9406], [9, 0.0594], [7, 0.0], [81, 0.0], [0, 0.0]]}, {'ply': 83, 'by': 'opponent', 'move': 35}, {'ply': 84, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [7, 0.0], [81, 0.0], [0, 0.0], [8, 0.0]]}, {'ply': 85, 'by': 'opponent', 'move': 7}, {'ply': 86, 'by': 'net', 'move': 18, 'top5': [[18, 1.0], [0, 0.0], [1, 0.0], [2, 0.0], [3, 0.0]]}, {'ply': 87, 'by': 'opponent', 'move': 81}, {'ply': 88, 'by': 'net', 'move': 0, 'top5': [[0, 1.0], [5, 0.0], [81, 0.0], [6, 0.0], [75, 0.0]]}, {'ply': 89, 'by': 'opponent', 'move': 27}, {'ply': 90, 'by': 'net', 'move': 9, 'top5': [[9, 1.0], [5, 0.0], [81, 0.0], [0, 0.0], [6, 0.0]]}]
ply 86 action 18
.OOOO..O.
XOOOOOOOX
XOXXXXO.O
.XXOOOOOO
XXXXOXOXO
X.XOOXXXX
XX.XOXOX.
OXXXOOOXX
.OX.XXX.X
ply 87 action 81
.OOOO..O.
XOOOOOOOX
XOXXXXO.O
.XXOOOOOO
XXXXOXOXO
X.XOOXXXX
XX.XOXOX.
OXXXOOOXX
.OX.XXX.X
ply 88 action 0
XOOOO..O.
XOOOOOOOX
XOXXXXO.O
.XXOOOOOO
XXXXOXOXO
X.XOOXXXX
XX.XOXOX.
OXXXOOOXX
.OX.XXX.X
ply 89 action 27
.OOOO..O.
.OOOOOOOX
.OXXXXO.O
OXXOOOOOO
XXXXOXOXO
X.XOOXXXX
XX.XOXOX.
OXXXOOOXX
.OX.XXX.X
ply 90 action 9
.OOOO..O.
XOOOOOOOX
.OXXXXO.O
OXXOOOOOO
XXXXOXOXO
X.XOOXXXX
XX.XOXOX.
OXXXOOOXX
.OX.XXX.X
GAME 84 colour white last moves [{'ply': 102, 'by': 'opponent', 'move': 8}, {'ply': 103, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}, {'ply': 104, 'by': 'opponent', 'move': 0}, {'ply': 105, 'by': 'net', 'move': 16, 'top5': [[16, 1.0], [81, 0.0], [6, 0.0], [46, 0.0], [60, 0.0]]}, {'ply': 106, 'by': 'opponent', 'move': 81}, {'ply': 107, 'by': 'net', 'move': 17, 'top5': [[17, 1.0], [81, 0.0], [6, 0.0], [46, 0.0], [60, 0.0]]}, {'ply': 108, 'by': 'opponent', 'move': 81}, {'ply': 109, 'by': 'net', 'move': 6, 'top5': [[6, 1.0], [81, 0.0], [46, 0.0], [60, 0.0], [8, 0.0]]}, {'ply': 110, 'by': 'opponent', 'move': 8}, {'ply': 111, 'by': 'net', 'move': 7, 'top5': [[7, 0.9999], [16, 0.0001], [81, 0.0], [46, 0.0], [17, 0.0]]}]
ply 107 action 17
XXXXXX.O.
XXXX.XXOO
XOXXX.XXX
OOOXXXXXX
.OOOXOXOO
O.OXXOOO.
XOOOXO.OO
XXXXXXO.O
XXXXXXOOO
ply 108 action 81
XXXXXX.O.
XXXX.XXOO
XOXXX.XXX
OOOXXXXXX
.OOOXOXOO
O.OXXOOO.
XOOOXO.OO
XXXXXXO.O
XXXXXXOOO
ply 109 action 6
XXXXXXOO.
XXXX.XXOO
XOXXX.XXX
OOOXXXXXX
.OOOXOXOO
O.OXXOOO.
XOOOXO.OO
XXXXXXO.O
XXXXXXOOO
ply 110 action 8
XXXXXX..X
XXXX.XX..
XOXXX.XXX
OOOXXXXXX
.OOOXOXOO
O.OXXOOO.
XOOOXO.OO
XXXXXXO.O
XXXXXXOOO
ply 111 action 7
XXXXXX.OX
XXXX.XX..
XOXXX.XXX
OOOXXXXXX
.OOOXOXOO
O.OXXOOO.
XOOOXO.OO
XXXXXXO.O
XXXXXXOOO
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v23.py").read()
patch=r'''
# Compress the two material counts into one total, leaving 24
# auxiliary units for stronger edge self-atari certification.
for k in range(6):
W[k][:,486:]=0
B[k][486:]=0
if k:
W[k][486:,:]=0
OW[486:,:]=0
for p in range(81):
W[0][3*p,486]=1
W[0][3*p+1,486]=1
W[0][2,487]=1
for k in range(1,6):
W[k][486,486]=1
W[k][487,487]=1
OW[486,81]=cfg["pass_per_stone"]
OW[487,81]=cfg["pass_white"]
edge_points=[]
for p in range(81):
r,c=divmod(p,9)
if r in [0,8] and c in [0,1,2,4,6,7,8]:
edge_points.append(p)
elif c in [0,8] and r in [1,2,4,6,7]:
edge_points.append(p)
assert len(edge_points)==24
for i,p in enumerate(edge_points):
g=488+i
# Exact singleton captures, rather than approximate group danger.
for q in adj[p]:
W[3][u(5,q),g]+=1
# Multiple threatened contacts can justify a larger capture.
B[4][g]=-1
for q in adj[p]:
W[4][u(3,q),g]+=1
j=u(3,p)
W[4][:,j]=0
B[4][j]=0
W[4][u(4,p),j]=1
W[4][g,j]=-2
W[5][u(3,p),g]=1
W[5][g,g]=-2
W[5][u(3,p),u(0,p)]=0
OW[g,p]=-cfg.get("edge_self_atari",32.0)
'''
source=source.replace(' OW *= cfg["temperature_scale"]',
patch+'\n OW *= cfg["temperature_scale"]')
open("/work/policy_design_v25.py","w").write(source)
open("/work/policy_design.py","w").write(source)
cfg=json.load(open("/work/policy_config.json"))
cfg.update(repeat_risk=80.0,edge_self_atari=32.0)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v25.npz",**tensors)
print("Saved v25: exact small-capture evidence guards against false edge captures and self-atari cycles.")
```{
"t": 1792791828.4074173,
"kind": "python",
"s": 1.36,
"code": "import json, numpy as np\nsource=open(\"/work/policy_design_v23.py\").read()\npatch=r'''\n # Compress the two material counts into one total, leaving 24\n # auxiliary units for stronger edge self-atari certification.\n for k in range(6):\n W[k][:,486:]=0\n B[k][486:]=0\n if k:\n W[k][486:,:]=0\n OW[486:,:]=0\n for p in range(81):\n W[0][3*p,486]=1\n W[0][3*p+1,486]=1\n W[0][2,487]=1\n for k in range(1,6):\n W[k][486,486]=1\n W[k][487,487]=1\n OW[486,81]=cfg[\"pass_per_stone\"]\n OW[487,81]=cfg[\"pass_white\"]\n\n edge_points=[]\n for p in range(81):\n r,c=divmod(p,9)\n if r in [0,8] and c in [0,1,2,4,6,7,8]:\n edge_points.append(p)\n elif c in [0,8] and r in [1,2,4,6,7]:\n edge_points.append(p)\n assert len(edge_points)==24\n for i,p in enumerate(edge_points):\n g=488+i\n # Exact singleton captures, rather than approximate group danger.\n for q in adj[p]:\n W[3][u(5,q),g]+=1\n\n # Multiple threatened contacts can justify a larger capture.\n B[4][g]=-1\n for q in adj[p]:\n W[4][u(3,q),g]+=1\n\n j=u(3,p)\n W[4][:,j]=0\n B[4][j]=0\n W[4][u(4,p),j]=1\n W[4][g,j]=-2\n\n W[5][u(3,p),g]=1\n W[5][g,g]=-2\n W[5][u(3,p),u(0,p)]=0\n OW[g,p]=-cfg.get(\"edge_self_atari\",32.0)\n'''\nsource=source.replace(' OW *= cfg[\"temperature_scale\"]',\n patch+'\\n OW *= cfg[\"temperature_scale\"]')\nopen(\"/work/policy_design_v25.py\",\"w\").write(source)\nopen(\"/work/policy_design.py\",\"w\").write(source)\ncfg=json.load(open(\"/work/policy_config.json\"))\ncfg.update(repeat_risk=80.0,edge_self_atari=32.0)\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_v25.npz\",**tensors)\nprint(\"Saved v25: exact small-capture evidence guards against false edge captures and self-atari cycles.\")\n",
"out": "Saved v25: exact small-capture evidence guards against false edge captures and self-atari cycles.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 34 of at most 120: ``` Saved v25: exact small-capture evidence guards against false edge captures and self-atari cycles. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792800037.1589947,
"kind": "games",
"k": 29,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 29,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.7604166865348816,
"wins": 73,
"losses": 23,
"score_as_black": 0.6875,
"score_as_white": 0.8333333134651184,
"mean_margin": 45.82291793823242,
"mean_length": 116.82291666666667,
"stones_captured_per_game": 58.46875,
"stones_lost_per_game": 13.416666666666666,
"passes_per_game": 1.9791666666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 94,
"end_repetition": 1,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 0.9375,
"wins": 30,
"losses": 2,
"score_as_black": 0.875,
"score_as_white": 1.0,
"mean_margin": 64.21875,
"mean_length": 117.0,
"stones_captured_per_game": 72.96875,
"stones_lost_per_game": 2.78125,
"passes_per_game": 2.46875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_29/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 29 of 50 done.
```
{"ok": true, "pass": 29, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.7604166865348816, "wins": 73, "losses": 23, "score_as_black": 0.6875, "score_as_white": 0.8333333134651184, "mean_margin": 45.82291793823242, "mean_length": 116.82291666666667, "stones_captured_per_game": 58.46875, "stones_lost_per_game": 13.416666666666666, "passes_per_game": 1.9791666666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 94, "end_repetition": 1, "end_move_limit": 1}, "weak": {"games": 32, "score": 0.9375, "wins": 30, "losses": 2, "score_as_black": 0.875, "score_as_white": 1.0, "mean_margin": 64.21875, "mean_length": 117.0, "stones_captured_per_game": 72.96875, "stones_lost_per_game": 2.78125, "passes_per_game": 2.46875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_29/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 21.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v23.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=dict(
capture=9.0,rescue=8.0,attack=1.4,self_atari=7.5,
eye=11.0,connection=0.9,contact=3.0,
own_territory=3.0,own_territory_threshold=0.5,
enemy_territory=1.0,territory_threshold=1.5,
pass_base=-12.0,pass_per_stone=0.10,pass_white=3.35,
own_adj=0.8,own_diag=0.5,own_two=0.7,own_knight=0.3,
enemy_adj=1.3,enemy_diag=0.7,enemy_two=0.4,
temperature_scale=2.5,surrounded_penalty=10.0,
repeat_risk=80.0,rescue_size=0.4,framework_bonus=4.0,
)
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
np.savez("/work/policy_v26.npz",**tensors)
print("Saved v26: restore capture responsiveness and reinforce the third-line framework.")
```{
"t": 1792800077.1905882,
"kind": "python",
"s": 1.51,
"code": "import 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=dict(\n capture=9.0,rescue=8.0,attack=1.4,self_atari=7.5,\n eye=11.0,connection=0.9,contact=3.0,\n own_territory=3.0,own_territory_threshold=0.5,\n enemy_territory=1.0,territory_threshold=1.5,\n pass_base=-12.0,pass_per_stone=0.10,pass_white=3.35,\n own_adj=0.8,own_diag=0.5,own_two=0.7,own_knight=0.3,\n enemy_adj=1.3,enemy_diag=0.7,enemy_two=0.4,\n temperature_scale=2.5,surrounded_penalty=10.0,\n repeat_risk=80.0,rescue_size=0.4,framework_bonus=4.0,\n)\ncfg,tensors=ns[\"build\"](save,cfg)\njson.dump(cfg,open(\"/work/policy_config.json\",\"w\"),indent=2)\nnp.savez(\"/work/policy_v26.npz\",**tensors)\nprint(\"Saved v26: restore capture responsiveness and reinforce the third-line framework.\")\n",
"out": "Saved v26: restore capture responsiveness and reinforce the third-line framework.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 35 of at most 120: ``` Saved v26: restore capture responsiveness and reinforce the third-line framework. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":96,"weak":32}}
```{
"t": 1792800140.050644,
"kind": "games",
"k": 30,
"request": {
"games": {
"strong": 96,
"weak": 32
}
},
"result": {
"ok": true,
"pass": 30,
"kind": "games",
"per_opponent": {
"strong": {
"games": 96,
"score": 0.8125,
"wins": 78,
"losses": 18,
"score_as_black": 0.8333333134651184,
"score_as_white": 0.7916666865348816,
"mean_margin": 48.76041793823242,
"mean_length": 116.85416666666667,
"stones_captured_per_game": 60.927083333333336,
"stones_lost_per_game": 12.3125,
"passes_per_game": 1.8541666666666667,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 91,
"end_repetition": 4,
"end_move_limit": 1
},
"weak": {
"games": 32,
"score": 1.0,
"wins": 32,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 71.875,
"mean_length": 119.71875,
"stones_captured_per_game": 71.875,
"stones_lost_per_game": 1.84375,
"passes_per_game": 1.46875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 32,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_30/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 30 of 50 done.
```
{"ok": true, "pass": 30, "kind": "games", "per_opponent": {"strong": {"games": 96, "score": 0.8125, "wins": 78, "losses": 18, "score_as_black": 0.8333333134651184, "score_as_white": 0.7916666865348816, "mean_margin": 48.76041793823242, "mean_length": 116.85416666666667, "stones_captured_per_game": 60.927083333333336, "stones_lost_per_game": 12.3125, "passes_per_game": 1.8541666666666667, "games_with_a_pass_before_move_60": 0, "end_two_passes": 91, "end_repetition": 4, "end_move_limit": 1}, "weak": {"games": 32, "score": 1.0, "wins": 32, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 71.875, "mean_length": 119.71875, "stones_captured_per_game": 71.875, "stones_lost_per_game": 1.84375, "passes_per_game": 1.46875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 32, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_30/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 20.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, numpy as np
source=open("/work/policy_design_v23.py").read()
open("/work/policy_design.py","w").write(source)
ns={}
exec(compile(source,"/work/policy_design.py","exec"),ns)
cfg=json.load(open("/work/policy_config.json"))
cfg["framework_bonus"]=2.0
cfg,tensors=ns["build"](save,cfg)
json.dump(cfg,open("/work/policy_config.json","w"),indent=2)
json.dump(cfg,open("/work/candidate_A_config.json","w"),indent=2)
np.savez("/work/candidate_A.npz",**tensors)
print("Restored candidate A for independent validation.")
print("Parameters:",sum(a.size for a in tensors.values()))
print("Finite tensors:",all(np.isfinite(a).all() for a in tensors.values()))
```{
"t": 1792800178.9529338,
"kind": "python",
"s": 1.67,
"code": "import 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",
"out": "Restored candidate A for independent validation.\nParameters: 1480274\nFinite tensors: True\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 36 of at most 120: ``` Restored candidate A for independent validation. Parameters: 1480274 Finite tensors: True ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800228.0685828,
"kind": "games",
"k": 31,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 31,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.84375,
"wins": 108,
"losses": 20,
"score_as_black": 0.78125,
"score_as_white": 0.90625,
"mean_margin": 55.4296875,
"mean_length": 117.1875,
"stones_captured_per_game": 65.8046875,
"stones_lost_per_game": 10.2109375,
"passes_per_game": 1.609375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 124,
"end_repetition": 4,
"end_move_limit": 0
}
},
"files": "/work/pass_31/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 31 of 50 done.
```
{"ok": true, "pass": 31, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.84375, "wins": 108, "losses": 20, "score_as_black": 0.78125, "score_as_white": 0.90625, "mean_margin": 55.4296875, "mean_length": 117.1875, "stones_captured_per_game": 65.8046875, "stones_lost_per_game": 10.2109375, "passes_per_game": 1.609375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 124, "end_repetition": 4, "end_move_limit": 0}}, "files": "/work/pass_31/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 19.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800272.5126102,
"kind": "games",
"k": 32,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 32,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.84375,
"wins": 108,
"losses": 20,
"score_as_black": 0.796875,
"score_as_white": 0.890625,
"mean_margin": 52.609375,
"mean_length": 118.875,
"stones_captured_per_game": 63.484375,
"stones_lost_per_game": 10.703125,
"passes_per_game": 2.09375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 127,
"end_repetition": 0,
"end_move_limit": 1
}
},
"files": "/work/pass_32/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 32 of 50 done.
```
{"ok": true, "pass": 32, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.84375, "wins": 108, "losses": 20, "score_as_black": 0.796875, "score_as_white": 0.890625, "mean_margin": 52.609375, "mean_length": 118.875, "stones_captured_per_game": 63.484375, "stones_lost_per_game": 10.703125, "passes_per_game": 2.09375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 127, "end_repetition": 0, "end_move_limit": 1}}, "files": "/work/pass_32/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 18.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800311.3875113,
"kind": "games",
"k": 33,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 33,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8359375,
"wins": 107,
"losses": 21,
"score_as_black": 0.8125,
"score_as_white": 0.859375,
"mean_margin": 52.765625,
"mean_length": 115.8203125,
"stones_captured_per_game": 60.625,
"stones_lost_per_game": 9.171875,
"passes_per_game": 1.640625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 126,
"end_repetition": 2,
"end_move_limit": 0
}
},
"files": "/work/pass_33/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 33 of 50 done.
```
{"ok": true, "pass": 33, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8359375, "wins": 107, "losses": 21, "score_as_black": 0.8125, "score_as_white": 0.859375, "mean_margin": 52.765625, "mean_length": 115.8203125, "stones_captured_per_game": 60.625, "stones_lost_per_game": 9.171875, "passes_per_game": 1.640625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 126, "end_repetition": 2, "end_move_limit": 0}}, "files": "/work/pass_33/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 17.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800348.0224962,
"kind": "games",
"k": 34,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 34,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8359375,
"wins": 107,
"losses": 21,
"score_as_black": 0.796875,
"score_as_white": 0.875,
"mean_margin": 55.453125,
"mean_length": 118.625,
"stones_captured_per_game": 66.2109375,
"stones_lost_per_game": 9.4375,
"passes_per_game": 1.6953125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 2,
"end_move_limit": 1
}
},
"files": "/work/pass_34/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 34 of 50 done.
```
{"ok": true, "pass": 34, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8359375, "wins": 107, "losses": 21, "score_as_black": 0.796875, "score_as_white": 0.875, "mean_margin": 55.453125, "mean_length": 118.625, "stones_captured_per_game": 66.2109375, "stones_lost_per_game": 9.4375, "passes_per_game": 1.6953125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 2, "end_move_limit": 1}}, "files": "/work/pass_34/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 16.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"weak":64,"random":64}}
```{
"t": 1792800407.416228,
"kind": "games",
"k": 35,
"request": {
"games": {
"weak": 64,
"random": 64
}
},
"result": {
"ok": true,
"pass": 35,
"kind": "games",
"per_opponent": {
"random": {
"games": 64,
"score": 1.0,
"wins": 64,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 65.1875,
"mean_length": 109.25,
"stones_captured_per_game": 63.625,
"stones_lost_per_game": 0.34375,
"passes_per_game": 1.109375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 63,
"end_repetition": 1,
"end_move_limit": 0
},
"weak": {
"games": 64,
"score": 1.0,
"wins": 64,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 70.015625,
"mean_length": 117.359375,
"stones_captured_per_game": 69.671875,
"stones_lost_per_game": 2.078125,
"passes_per_game": 1.640625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 62,
"end_repetition": 2,
"end_move_limit": 0
}
},
"files": "/work/pass_35/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 35 of 50 done.
```
{"ok": true, "pass": 35, "kind": "games", "per_opponent": {"random": {"games": 64, "score": 1.0, "wins": 64, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 65.1875, "mean_length": 109.25, "stones_captured_per_game": 63.625, "stones_lost_per_game": 0.34375, "passes_per_game": 1.109375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 63, "end_repetition": 1, "end_move_limit": 0}, "weak": {"games": 64, "score": 1.0, "wins": 64, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 70.015625, "mean_length": 117.359375, "stones_captured_per_game": 69.671875, "stones_lost_per_game": 2.078125, "passes_per_game": 1.640625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 62, "end_repetition": 2, "end_move_limit": 0}}, "files": "/work/pass_35/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 15.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```positions
{"positions":[{"board":[".........",".........",".........","....X....","...XOX...",".........",".........",".........","........."],"to_move":"black"},{"board":[".........",".........",".........","....O....","...OXO...",".........",".........",".........","........."],"to_move":"black"},{"board":[".........",".........","...XX....","..XOOX...","..XO.....","...X.....",".........",".........","........."],"to_move":"black"},{"board":[".........",".........","...OO....","..OXXO...","..OX.....","...O.....",".........",".........","........."],"to_move":"black"},{"board":["XXXXXXXXX","XXXXXXXXX","XXXXXXXXX","XXXXXXXXX","XXXX.X.XX","XXXXXXXXX","XXXXXXXXX","XXXXXXXXX","XXXXXXXXX"],"to_move":"black"},{"board":[".........",".........",".........","......OX.",".......OX","......OX.",".........",".........","........."],"to_move":"black"},{"board":[".........",".........",".........","......OXX",".......OO","......OXX",".........",".........","........."],"to_move":"black"},{"board":[".........",".........",".........","...OXO...","...X.X...","...OXO...",".........",".........","........."],"to_move":"black"},{"board":[".........",".........",".........",".........",".........",".........",".........",".........","........."],"to_move":"black"}],"activations":true}
```{
"t": 1792800492.4046264,
"kind": "positions",
"k": 36,
"request": {
"positions": [
{
"board": [
".........",
".........",
".........",
"....X....",
"...XOX...",
".........",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
".........",
"....O....",
"...OXO...",
".........",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
"...XX....",
"..XOOX...",
"..XO.....",
"...X.....",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
"...OO....",
"..OXXO...",
"..OX.....",
"...O.....",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
"XXXXXXXXX",
"XXXXXXXXX",
"XXXXXXXXX",
"XXXXXXXXX",
"XXXX.X.XX",
"XXXXXXXXX",
"XXXXXXXXX",
"XXXXXXXXX",
"XXXXXXXXX"
],
"to_move": "black"
},
{
"board": [
".........",
".........",
".........",
"......OX.",
".......OX",
"......OX.",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
".........",
"......OXX",
".......OO",
"......OXX",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
".........",
"...OXO...",
"...X.X...",
"...OXO...",
".........",
".........",
"........."
],
"to_move": "black"
},
{
"board": [
".........",
".........",
".........",
".........",
".........",
".........",
".........",
".........",
"........."
],
"to_move": "black"
}
],
"activations": true
},
"result": {
"ok": true,
"pass": 36,
"kind": "positions",
"positions": 9,
"top3_per_position": [
[
[
"(5,4)",
1.0
],
[
"(4,2)",
0.0
],
[
"(4,6)",
0.0
]
],
[
[
"(5,4)",
1.0
],
[
"(2,4)",
0.0
],
[
"(4,2)",
0.0
]
],
[
[
"(4,4)",
1.0
],
[
"(2,2)",
0.0
],
[
"(5,2)",
0.0
]
],
[
[
"(4,4)",
1.0
],
[
"(3,6)",
0.0
],
[
"(6,3)",
0.0
]
],
[
[
"pass",
1.0
],
[
"(4,6)",
0.0
],
[
"(4,4)",
0.0
]
],
[
[
"(2,6)",
0.4972
],
[
"(6,6)",
0.4972
],
[
"(3,5)",
0.0012
]
],
[
[
"(4,6)",
1.0
],
[
"(2,6)",
0.0
],
[
"(6,6)",
0.0
]
],
[
[
"(2,3)",
0.1248
],
[
"(3,2)",
0.1248
],
[
"(2,5)",
0.1248
]
],
[
[
"(2,6)",
0.0977
],
[
"(2,2)",
0.0977
],
[
"(6,6)",
0.0977
]
]
],
"files": "/work/pass_36/",
"readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); act_L1.npy .. act_L6.npy (P, 512) the hidden activations after ReLU."
}
}Recorded prompt · Raw CLI events · Settings and audit
Positions pass 36 of 50 done.
```
{"ok": true, "pass": 36, "kind": "positions", "positions": 9, "top3_per_position": [[["(5,4)", 1.0], ["(4,2)", 0.0], ["(4,6)", 0.0]], [["(5,4)", 1.0], ["(2,4)", 0.0], ["(4,2)", 0.0]], [["(4,4)", 1.0], ["(2,2)", 0.0], ["(5,2)", 0.0]], [["(4,4)", 1.0], ["(3,6)", 0.0], ["(6,3)", 0.0]], [["pass", 1.0], ["(4,6)", 0.0], ["(4,4)", 0.0]], [["(2,6)", 0.4972], ["(6,6)", 0.4972], ["(3,5)", 0.0012]], [["(4,6)", 1.0], ["(2,6)", 0.0], ["(6,6)", 0.0]], [["(2,3)", 0.1248], ["(3,2)", 0.1248], ["(2,5)", 0.1248]], [["(2,6)", 0.0977], ["(2,2)", 0.0977], ["(6,6)", 0.0977]]], "files": "/work/pass_36/", "readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); act_L1.npy .. act_L6.npy (P, 512) the hidden activations after ReLU."}
```
Passes left: 14.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```positions
{"positions":[{"board":[".........",".........",".........","....O....","...OXO...",".........",".........",".........","........."],"to_move":"white"},{"board":[".........",".........",".........","....X....","...XOX...",".........",".........",".........","........."],"to_move":"white"},{"board":[".........",".........","...OO....","..OXXO...","..OX.....","...O.....",".........",".........","........."],"to_move":"white"},{"board":[".........",".........","...XX....","..XOOX...","..XO.....","...X.....",".........",".........","........."],"to_move":"white"},{"board":["OOOOOOOOO","OOOOOOOOO","OOOOOOOOO","OOOOOOOOO","OOOO.O.OO","OOOOOOOOO","OOOOOOOOO","OOOOOOOOO","OOOOOOOOO"],"to_move":"white"},{"board":[".........",".........",".........","......XO.",".......XO","......XO.",".........",".........","........."],"to_move":"white"},{"board":[".........",".........",".........","......XOO",".......XX","......XOO",".........",".........","........."],"to_move":"white"},{"board":[".........",".........",".........","...XOX...","...O.O...","...XOX...",".........",".........","........."],"to_move":"white"},{"board":[".........",".........",".........",".........",".........",".........",".........",".........","........."],"to_move":"white"}],"activations":false}
```{
"t": 1792800561.3552735,
"kind": "positions",
"k": 37,
"request": {
"positions": [
{
"board": [
".........",
".........",
".........",
"....O....",
"...OXO...",
".........",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
".........",
"....X....",
"...XOX...",
".........",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
"...OO....",
"..OXXO...",
"..OX.....",
"...O.....",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
"...XX....",
"..XOOX...",
"..XO.....",
"...X.....",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
"OOOOOOOOO",
"OOOOOOOOO",
"OOOOOOOOO",
"OOOOOOOOO",
"OOOO.O.OO",
"OOOOOOOOO",
"OOOOOOOOO",
"OOOOOOOOO",
"OOOOOOOOO"
],
"to_move": "white"
},
{
"board": [
".........",
".........",
".........",
"......XO.",
".......XO",
"......XO.",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
".........",
"......XOO",
".......XX",
"......XOO",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
".........",
"...XOX...",
"...O.O...",
"...XOX...",
".........",
".........",
"........."
],
"to_move": "white"
},
{
"board": [
".........",
".........",
".........",
".........",
".........",
".........",
".........",
".........",
"........."
],
"to_move": "white"
}
],
"activations": false
},
"result": {
"ok": true,
"pass": 37,
"kind": "positions",
"positions": 9,
"top3_per_position": [
[
[
"(5,4)",
1.0
],
[
"(4,2)",
0.0
],
[
"(4,6)",
0.0
]
],
[
[
"(5,4)",
1.0
],
[
"(2,4)",
0.0
],
[
"(4,2)",
0.0
]
],
[
[
"(4,4)",
1.0
],
[
"(2,2)",
0.0
],
[
"(5,2)",
0.0
]
],
[
[
"(4,4)",
1.0
],
[
"(3,6)",
0.0
],
[
"(6,3)",
0.0
]
],
[
[
"pass",
1.0
],
[
"(4,6)",
0.0
],
[
"(4,4)",
0.0
]
],
[
[
"(2,6)",
0.4972
],
[
"(6,6)",
0.4972
],
[
"(3,5)",
0.0012
]
],
[
[
"(4,6)",
1.0
],
[
"(2,6)",
0.0
],
[
"(6,6)",
0.0
]
],
[
[
"(2,3)",
0.1248
],
[
"(3,2)",
0.1248
],
[
"(2,5)",
0.1248
]
],
[
[
"(2,6)",
0.0977
],
[
"(2,2)",
0.0977
],
[
"(6,6)",
0.0977
]
]
],
"files": "/work/pass_37/",
"readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); no activations (ask with \"activations\": true)."
}
}Recorded prompt · Raw CLI events · Settings and audit
Positions pass 37 of 50 done.
```
{"ok": true, "pass": 37, "kind": "positions", "positions": 9, "top3_per_position": [[["(5,4)", 1.0], ["(4,2)", 0.0], ["(4,6)", 0.0]], [["(5,4)", 1.0], ["(2,4)", 0.0], ["(4,2)", 0.0]], [["(4,4)", 1.0], ["(2,2)", 0.0], ["(5,2)", 0.0]], [["(4,4)", 1.0], ["(3,6)", 0.0], ["(6,3)", 0.0]], [["pass", 1.0], ["(4,6)", 0.0], ["(4,4)", 0.0]], [["(2,6)", 0.4972], ["(6,6)", 0.4972], ["(3,5)", 0.0012]], [["(4,6)", 1.0], ["(2,6)", 0.0], ["(6,6)", 0.0]], [["(2,3)", 0.1248], ["(3,2)", 0.1248], ["(2,5)", 0.1248]], [["(2,6)", 0.0977], ["(2,2)", 0.0977], ["(6,6)", 0.0977]]], "files": "/work/pass_37/", "readme": "inputs.npy (P, 243) the network inputs; legal.npy (P, 82) the legal moves (for 'board' positions: the empty points and pass; suicide and ko are not checked); logits.npy, probs.npy (P, 82); no activations (ask with \"activations\": true)."}
```
Passes left: 13.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, hashlib, numpy as np
names = ["L%d.%s"%(k,t) for k in range(1,7) for t in ["W","b"]]
names += ["out.W","out.b"]
tensors = {n:load(n) for n in names}
reference = np.load("/work/candidate_A.npz")
assert all(np.array_equal(tensors[n],reference[n]) for n in names)
assert all(np.isfinite(a).all() for a in tensors.values())
# Static symmetry checks on weights only; no network evaluation.
errors=[]
for reflect in [False,True]:
for turns in range(4):
perm=[]
for p in range(81):
r,c=divmod(p,9)
if reflect: c=8-c
for _ in range(turns): r,c=c,8-r
perm.append(9*r+c)
perm=np.array(perm)
ip=np.array([3*perm[p]+ch for p in range(81) for ch in range(3)])
hp=np.concatenate([81*ch+perm for ch in range(6)]+[np.arange(486,512)])
op=np.r_[perm,81]
err=0.0
for k in range(1,7):
w=tensors["L%d.W"%k]; bb=tensors["L%d.b"%k]
rp=ip if k==1 else hp
err=max(err,float(np.max(np.abs(w[np.ix_(rp,hp)]-w))))
err=max(err,float(np.max(np.abs(bb[hp]-bb))))
err=max(err,float(np.max(np.abs(tensors["out.W"][np.ix_(hp,op)]-tensors["out.W"]))))
err=max(err,float(np.max(np.abs(tensors["out.b"][op]-tensors["out.b"]))))
errors.append(err)
black=np.load("/work/pass_36/logits.npy")
white=np.load("/work/pass_37/logits.npy")
print("Checkpoint unchanged:", True)
print("Eight board-symmetry weight errors:", errors)
print("Colour-swapped placement-logit error:",float(np.max(np.abs(black[:,:81]-white[:,:81]))))
print("White pass-logit increments:",np.round(white[:,81]-black[:,81],6).tolist())
print("Nonzero weights/biases:",sum(np.count_nonzero(a) for a in tensors.values()))
digest=hashlib.sha256()
for n in names:
digest.update(n.encode())
digest.update(tensors[n].tobytes())
print("Checkpoint SHA256:",digest.hexdigest())
json.dump({"checkpoint":digest.hexdigest(),"validation_passes":[28,31,32,33,34,35]},
open("/work/final_validation_manifest.json","w"),indent=2)
```{
"t": 1792800599.1331348,
"kind": "python",
"s": 1.6,
"code": "import json, hashlib, numpy as np\n\nnames = [\"L%d.%s\"%(k,t) for k in range(1,7) for t in [\"W\",\"b\"]]\nnames += [\"out.W\",\"out.b\"]\ntensors = {n:load(n) for n in names}\nreference = np.load(\"/work/candidate_A.npz\")\nassert all(np.array_equal(tensors[n],reference[n]) for n in names)\nassert all(np.isfinite(a).all() for a in tensors.values())\n\n# Static symmetry checks on weights only; no network evaluation.\nerrors=[]\nfor reflect in [False,True]:\n for turns in range(4):\n perm=[]\n for p in range(81):\n r,c=divmod(p,9)\n if reflect: c=8-c\n for _ in range(turns): r,c=c,8-r\n perm.append(9*r+c)\n perm=np.array(perm)\n ip=np.array([3*perm[p]+ch for p in range(81) for ch in range(3)])\n hp=np.concatenate([81*ch+perm for ch in range(6)]+[np.arange(486,512)])\n op=np.r_[perm,81]\n err=0.0\n for k in range(1,7):\n w=tensors[\"L%d.W\"%k]; bb=tensors[\"L%d.b\"%k]\n rp=ip if k==1 else hp\n err=max(err,float(np.max(np.abs(w[np.ix_(rp,hp)]-w))))\n err=max(err,float(np.max(np.abs(bb[hp]-bb))))\n err=max(err,float(np.max(np.abs(tensors[\"out.W\"][np.ix_(hp,op)]-tensors[\"out.W\"]))))\n err=max(err,float(np.max(np.abs(tensors[\"out.b\"][op]-tensors[\"out.b\"]))))\n errors.append(err)\n\nblack=np.load(\"/work/pass_36/logits.npy\")\nwhite=np.load(\"/work/pass_37/logits.npy\")\nprint(\"Checkpoint unchanged:\", True)\nprint(\"Eight board-symmetry weight errors:\", errors)\nprint(\"Colour-swapped placement-logit error:\",float(np.max(np.abs(black[:,:81]-white[:,:81]))))\nprint(\"White pass-logit increments:\",np.round(white[:,81]-black[:,81],6).tolist())\nprint(\"Nonzero weights/biases:\",sum(np.count_nonzero(a) for a in tensors.values()))\ndigest=hashlib.sha256()\nfor n in names:\n digest.update(n.encode())\n digest.update(tensors[n].tobytes())\nprint(\"Checkpoint SHA256:\",digest.hexdigest())\njson.dump({\"checkpoint\":digest.hexdigest(),\"validation_passes\":[28,31,32,33,34,35]},\n open(\"/work/final_validation_manifest.json\",\"w\"),indent=2)\n",
"out": "Checkpoint unchanged: True\nEight board-symmetry weight errors: [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0]\nColour-swapped placement-logit error: 0.0\nWhite pass-logit increments: [8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375]\nNonzero weights/biases: 25947\nCheckpoint SHA256: dc92ab2b220254b8a377493bfb892d5c03c6e6fa69c8c370053a8328a076ea54\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 37 of at most 120: ``` Checkpoint unchanged: True Eight board-symmetry weight errors: [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0] Colour-swapped placement-logit error: 0.0 White pass-logit increments: [8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375, 8.375] Nonzero weights/biases: 25947 Checkpoint SHA256: dc92ab2b220254b8a377493bfb892d5c03c6e6fa69c8c370053a8328a076ea54 ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import numpy as np
# The colour plane is broadcast over all 81 points. Reading it at one
# fixed point is functionally invariant, although its raw weight row is not.
errors=[]
for reflect in [False,True]:
for turns in range(4):
perm=[]
for p in range(81):
r,c=divmod(p,9)
if reflect: c=8-c
for _ in range(turns): r,c=c,8-r
perm.append(9*r+c)
perm=np.asarray(perm)
hp=np.concatenate([81*ch+perm for ch in range(6)]+[np.arange(486,512)])
op=np.r_[perm,81]
w=load("L1.W")
stone_rows=np.array([3*p+ch for p in range(81) for ch in [0,1]])
rotated_rows=np.array([3*perm[p]+ch for p in range(81) for ch in [0,1]])
err=float(np.max(np.abs(w[np.ix_(rotated_rows,hp)]-w[stone_rows])))
colour_weights=w[2::3].sum(axis=0)
err=max(err,float(np.max(np.abs(colour_weights[hp]-colour_weights))))
for k in range(1,7):
bb=load("L%d.b"%k)
err=max(err,float(np.max(np.abs(bb[hp]-bb))))
if k>1:
ww=load("L%d.W"%k)
err=max(err,float(np.max(np.abs(ww[np.ix_(hp,hp)]-ww))))
ww=load("out.W"); bb=load("out.b")
err=max(err,float(np.max(np.abs(ww[np.ix_(hp,op)]-ww))),
float(np.max(np.abs(bb[op]-bb))))
errors.append(err)
assert max(errors)==0
print("Exact symmetry on all valid broadcast-colour inputs:",errors)
print("No weights changed.")
```{
"t": 1792800635.0487134,
"kind": "python",
"s": 1.97,
"code": "import numpy as np\n# The colour plane is broadcast over all 81 points. Reading it at one\n# fixed point is functionally invariant, although its raw weight row is not.\nerrors=[]\nfor reflect in [False,True]:\n for turns in range(4):\n perm=[]\n for p in range(81):\n r,c=divmod(p,9)\n if reflect: c=8-c\n for _ in range(turns): r,c=c,8-r\n perm.append(9*r+c)\n perm=np.asarray(perm)\n hp=np.concatenate([81*ch+perm for ch in range(6)]+[np.arange(486,512)])\n op=np.r_[perm,81]\n w=load(\"L1.W\")\n stone_rows=np.array([3*p+ch for p in range(81) for ch in [0,1]])\n rotated_rows=np.array([3*perm[p]+ch for p in range(81) for ch in [0,1]])\n err=float(np.max(np.abs(w[np.ix_(rotated_rows,hp)]-w[stone_rows])))\n colour_weights=w[2::3].sum(axis=0)\n err=max(err,float(np.max(np.abs(colour_weights[hp]-colour_weights))))\n for k in range(1,7):\n bb=load(\"L%d.b\"%k)\n err=max(err,float(np.max(np.abs(bb[hp]-bb))))\n if k>1:\n ww=load(\"L%d.W\"%k)\n err=max(err,float(np.max(np.abs(ww[np.ix_(hp,hp)]-ww))))\n ww=load(\"out.W\"); bb=load(\"out.b\")\n err=max(err,float(np.max(np.abs(ww[np.ix_(hp,op)]-ww))),\n float(np.max(np.abs(bb[op]-bb))))\n errors.append(err)\nassert max(errors)==0\nprint(\"Exact symmetry on all valid broadcast-colour inputs:\",errors)\nprint(\"No weights changed.\")\n",
"out": "Exact symmetry on all valid broadcast-colour inputs: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\nNo weights changed.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 38 of at most 120: ``` Exact symmetry on all valid broadcast-colour inputs: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] No weights changed. ```
Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800691.6746733,
"kind": "games",
"k": 38,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 38,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.828125,
"wins": 106,
"losses": 22,
"score_as_black": 0.765625,
"score_as_white": 0.890625,
"mean_margin": 53.046875,
"mean_length": 117.9609375,
"stones_captured_per_game": 63.6171875,
"stones_lost_per_game": 11.0390625,
"passes_per_game": 1.7421875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 3,
"end_move_limit": 0
}
},
"files": "/work/pass_38/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 38 of 50 done.
```
{"ok": true, "pass": 38, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.828125, "wins": 106, "losses": 22, "score_as_black": 0.765625, "score_as_white": 0.890625, "mean_margin": 53.046875, "mean_length": 117.9609375, "stones_captured_per_game": 63.6171875, "stones_lost_per_game": 11.0390625, "passes_per_game": 1.7421875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 3, "end_move_limit": 0}}, "files": "/work/pass_38/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 12.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800749.0533338,
"kind": "games",
"k": 39,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 39,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8203125,
"wins": 105,
"losses": 23,
"score_as_black": 0.734375,
"score_as_white": 0.90625,
"mean_margin": 50.578125,
"mean_length": 115.75,
"stones_captured_per_game": 59.9765625,
"stones_lost_per_game": 9.84375,
"passes_per_game": 1.8828125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 123,
"end_repetition": 5,
"end_move_limit": 0
}
},
"files": "/work/pass_39/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 39 of 50 done.
```
{"ok": true, "pass": 39, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8203125, "wins": 105, "losses": 23, "score_as_black": 0.734375, "score_as_white": 0.90625, "mean_margin": 50.578125, "mean_length": 115.75, "stones_captured_per_game": 59.9765625, "stones_lost_per_game": 9.84375, "passes_per_game": 1.8828125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 123, "end_repetition": 5, "end_move_limit": 0}}, "files": "/work/pass_39/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 11.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800788.9210653,
"kind": "games",
"k": 40,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 40,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.7890625,
"wins": 101,
"losses": 27,
"score_as_black": 0.78125,
"score_as_white": 0.796875,
"mean_margin": 51.0078125,
"mean_length": 117.125,
"stones_captured_per_game": 61.2109375,
"stones_lost_per_game": 11.8984375,
"passes_per_game": 1.6328125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 3,
"end_move_limit": 0
}
},
"files": "/work/pass_40/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 40 of 50 done.
```
{"ok": true, "pass": 40, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.7890625, "wins": 101, "losses": 27, "score_as_black": 0.78125, "score_as_white": 0.796875, "mean_margin": 51.0078125, "mean_length": 117.125, "stones_captured_per_game": 61.2109375, "stones_lost_per_game": 11.8984375, "passes_per_game": 1.6328125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 3, "end_move_limit": 0}}, "files": "/work/pass_40/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 10.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800827.5957358,
"kind": "games",
"k": 41,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 41,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.859375,
"wins": 110,
"losses": 18,
"score_as_black": 0.8125,
"score_as_white": 0.90625,
"mean_margin": 52.8125,
"mean_length": 117.734375,
"stones_captured_per_game": 64.5625,
"stones_lost_per_game": 10.5703125,
"passes_per_game": 1.7734375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 2,
"end_move_limit": 1
}
},
"files": "/work/pass_41/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 41 of 50 done.
```
{"ok": true, "pass": 41, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.859375, "wins": 110, "losses": 18, "score_as_black": 0.8125, "score_as_white": 0.90625, "mean_margin": 52.8125, "mean_length": 117.734375, "stones_captured_per_game": 64.5625, "stones_lost_per_game": 10.5703125, "passes_per_game": 1.7734375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 2, "end_move_limit": 1}}, "files": "/work/pass_41/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 9.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800867.4040623,
"kind": "games",
"k": 42,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 42,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.828125,
"wins": 106,
"losses": 22,
"score_as_black": 0.78125,
"score_as_white": 0.875,
"mean_margin": 49.703125,
"mean_length": 116.703125,
"stones_captured_per_game": 60.75,
"stones_lost_per_game": 11.921875,
"passes_per_game": 1.671875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 123,
"end_repetition": 3,
"end_move_limit": 2
}
},
"files": "/work/pass_42/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 42 of 50 done.
```
{"ok": true, "pass": 42, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.828125, "wins": 106, "losses": 22, "score_as_black": 0.78125, "score_as_white": 0.875, "mean_margin": 49.703125, "mean_length": 116.703125, "stones_captured_per_game": 60.75, "stones_lost_per_game": 11.921875, "passes_per_game": 1.671875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 123, "end_repetition": 3, "end_move_limit": 2}}, "files": "/work/pass_42/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 8.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800902.3136845,
"kind": "games",
"k": 43,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 43,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8203125,
"wins": 105,
"losses": 23,
"score_as_black": 0.765625,
"score_as_white": 0.875,
"mean_margin": 51.5234375,
"mean_length": 114.515625,
"stones_captured_per_game": 58.7109375,
"stones_lost_per_game": 10.59375,
"passes_per_game": 1.46875,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 3,
"end_move_limit": 0
}
},
"files": "/work/pass_43/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 43 of 50 done.
```
{"ok": true, "pass": 43, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8203125, "wins": 105, "losses": 23, "score_as_black": 0.765625, "score_as_white": 0.875, "mean_margin": 51.5234375, "mean_length": 114.515625, "stones_captured_per_game": 58.7109375, "stones_lost_per_game": 10.59375, "passes_per_game": 1.46875, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 3, "end_move_limit": 0}}, "files": "/work/pass_43/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 7.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792800944.7597525,
"kind": "games",
"k": 44,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 44,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8359375,
"wins": 107,
"losses": 21,
"score_as_black": 0.75,
"score_as_white": 0.921875,
"mean_margin": 52.0234375,
"mean_length": 116.25,
"stones_captured_per_game": 60.5625,
"stones_lost_per_game": 10.125,
"passes_per_game": 1.515625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 126,
"end_repetition": 1,
"end_move_limit": 1
}
},
"files": "/work/pass_44/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 44 of 50 done.
```
{"ok": true, "pass": 44, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8359375, "wins": 107, "losses": 21, "score_as_black": 0.75, "score_as_white": 0.921875, "mean_margin": 52.0234375, "mean_length": 116.25, "stones_captured_per_game": 60.5625, "stones_lost_per_game": 10.125, "passes_per_game": 1.515625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 126, "end_repetition": 1, "end_move_limit": 1}}, "files": "/work/pass_44/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 6.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792801001.6798556,
"kind": "games",
"k": 45,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 45,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8125,
"wins": 104,
"losses": 24,
"score_as_black": 0.8125,
"score_as_white": 0.8125,
"mean_margin": 51.640625,
"mean_length": 118.078125,
"stones_captured_per_game": 63.6328125,
"stones_lost_per_game": 11.6640625,
"passes_per_game": 2.0,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 124,
"end_repetition": 2,
"end_move_limit": 2
}
},
"files": "/work/pass_45/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 45 of 50 done.
```
{"ok": true, "pass": 45, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8125, "wins": 104, "losses": 24, "score_as_black": 0.8125, "score_as_white": 0.8125, "mean_margin": 51.640625, "mean_length": 118.078125, "stones_captured_per_game": 63.6328125, "stones_lost_per_game": 11.6640625, "passes_per_game": 2.0, "games_with_a_pass_before_move_60": 0, "end_two_passes": 124, "end_repetition": 2, "end_move_limit": 2}}, "files": "/work/pass_45/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 5.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792801068.7461426,
"kind": "games",
"k": 46,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 46,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.875,
"wins": 112,
"losses": 16,
"score_as_black": 0.828125,
"score_as_white": 0.921875,
"mean_margin": 57.5859375,
"mean_length": 118.9296875,
"stones_captured_per_game": 68.171875,
"stones_lost_per_game": 9.1796875,
"passes_per_game": 1.6484375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 128,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_46/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 46 of 50 done.
```
{"ok": true, "pass": 46, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.875, "wins": 112, "losses": 16, "score_as_black": 0.828125, "score_as_white": 0.921875, "mean_margin": 57.5859375, "mean_length": 118.9296875, "stones_captured_per_game": 68.171875, "stones_lost_per_game": 9.1796875, "passes_per_game": 1.6484375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 128, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_46/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 4.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":128}}
```{
"t": 1792801117.0454483,
"kind": "games",
"k": 47,
"request": {
"games": {
"strong": 128
}
},
"result": {
"ok": true,
"pass": 47,
"kind": "games",
"per_opponent": {
"strong": {
"games": 128,
"score": 0.8203125,
"wins": 105,
"losses": 23,
"score_as_black": 0.765625,
"score_as_white": 0.875,
"mean_margin": 52.0078125,
"mean_length": 115.8671875,
"stones_captured_per_game": 60.3828125,
"stones_lost_per_game": 10.1796875,
"passes_per_game": 1.7265625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 125,
"end_repetition": 2,
"end_move_limit": 1
}
},
"files": "/work/pass_47/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 47 of 50 done.
```
{"ok": true, "pass": 47, "kind": "games", "per_opponent": {"strong": {"games": 128, "score": 0.8203125, "wins": 105, "losses": 23, "score_as_black": 0.765625, "score_as_white": 0.875, "mean_margin": 52.0078125, "mean_length": 115.8671875, "stones_captured_per_game": 60.3828125, "stones_lost_per_game": 10.1796875, "passes_per_game": 1.7265625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 125, "end_repetition": 2, "end_move_limit": 1}}, "files": "/work/pass_47/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 3.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"strong":112,"weak":16}}
```{
"t": 1792801176.1730027,
"kind": "games",
"k": 48,
"request": {
"games": {
"strong": 112,
"weak": 16
}
},
"result": {
"ok": true,
"pass": 48,
"kind": "games",
"per_opponent": {
"strong": {
"games": 112,
"score": 0.8392857313156128,
"wins": 94,
"losses": 18,
"score_as_black": 0.7857142686843872,
"score_as_white": 0.8928571343421936,
"mean_margin": 53.13393020629883,
"mean_length": 115.11607142857143,
"stones_captured_per_game": 58.964285714285715,
"stones_lost_per_game": 8.330357142857142,
"passes_per_game": 1.6964285714285714,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 109,
"end_repetition": 2,
"end_move_limit": 1
},
"weak": {
"games": 16,
"score": 1.0,
"wins": 16,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 66.1875,
"mean_length": 115.6875,
"stones_captured_per_game": 67.3125,
"stones_lost_per_game": 1.375,
"passes_per_game": 1.9375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 16,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_48/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 48 of 50 done.
```
{"ok": true, "pass": 48, "kind": "games", "per_opponent": {"strong": {"games": 112, "score": 0.8392857313156128, "wins": 94, "losses": 18, "score_as_black": 0.7857142686843872, "score_as_white": 0.8928571343421936, "mean_margin": 53.13393020629883, "mean_length": 115.11607142857143, "stones_captured_per_game": 58.964285714285715, "stones_lost_per_game": 8.330357142857142, "passes_per_game": 1.6964285714285714, "games_with_a_pass_before_move_60": 0, "end_two_passes": 109, "end_repetition": 2, "end_move_limit": 1}, "weak": {"games": 16, "score": 1.0, "wins": 16, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 66.1875, "mean_length": 115.6875, "stones_captured_per_game": 67.3125, "stones_lost_per_game": 1.375, "passes_per_game": 1.9375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 16, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_48/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 2.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"weak":64,"random":64}}
```{
"t": 1792801234.4688723,
"kind": "games",
"k": 49,
"request": {
"games": {
"weak": 64,
"random": 64
}
},
"result": {
"ok": true,
"pass": 49,
"kind": "games",
"per_opponent": {
"random": {
"games": 64,
"score": 1.0,
"wins": 64,
"losses": 0,
"score_as_black": 1.0,
"score_as_white": 1.0,
"mean_margin": 66.515625,
"mean_length": 111.9375,
"stones_captured_per_game": 59.8125,
"stones_lost_per_game": 0.375,
"passes_per_game": 1.109375,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 64,
"end_repetition": 0,
"end_move_limit": 0
},
"weak": {
"games": 64,
"score": 0.984375,
"wins": 63,
"losses": 1,
"score_as_black": 0.96875,
"score_as_white": 1.0,
"mean_margin": 68.515625,
"mean_length": 115.578125,
"stones_captured_per_game": 69.90625,
"stones_lost_per_game": 1.828125,
"passes_per_game": 1.65625,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 62,
"end_repetition": 2,
"end_move_limit": 0
}
},
"files": "/work/pass_49/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 49 of 50 done.
```
{"ok": true, "pass": 49, "kind": "games", "per_opponent": {"random": {"games": 64, "score": 1.0, "wins": 64, "losses": 0, "score_as_black": 1.0, "score_as_white": 1.0, "mean_margin": 66.515625, "mean_length": 111.9375, "stones_captured_per_game": 59.8125, "stones_lost_per_game": 0.375, "passes_per_game": 1.109375, "games_with_a_pass_before_move_60": 0, "end_two_passes": 64, "end_repetition": 0, "end_move_limit": 0}, "weak": {"games": 64, "score": 0.984375, "wins": 63, "losses": 1, "score_as_black": 0.96875, "score_as_white": 1.0, "mean_margin": 68.515625, "mean_length": 115.578125, "stones_captured_per_game": 69.90625, "stones_lost_per_game": 1.828125, "passes_per_game": 1.65625, "games_with_a_pass_before_move_60": 0, "end_two_passes": 62, "end_repetition": 2, "end_move_limit": 0}}, "files": "/work/pass_49/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 1.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```python
import json, hashlib, numpy as np
passes=[28,31,32,33,34,35]+list(range(38,50))
all_games=[]
for k in passes:
all_games.extend(json.load(open("/work/pass_%d/games.json"%k)))
summary={}
for opponent in ["strong","weak","random"]:
games=[g for g in all_games if g["opponent"]==opponent]
wins=sum(g["result"]>0 for g in games)
n=len(games)
p=wins/n
z=1.959963984540054
den=1+z*z/n
center=(p+z*z/(2*n))/den
half=z*np.sqrt(p*(1-p)/n+z*z/(4*n*n))/den
summary[opponent]={
"games":n, "wins":wins, "win_rate":p,
"mean_margin":float(np.mean([g["margin"] for g in games])),
"wilson_95_percent":[center-half,center+half],
"by_colour":{
colour:{
"games":sum(g["net_color"]==colour for g in games),
"wins":sum(g["net_color"]==colour and g["result"]>0 for g in games)
} for colour in ["black","white"]
}
}
names=["L%d.%s"%(k,t) for k in range(1,7) for t in ["W","b"]]+["out.W","out.b"]
reference=np.load("/work/candidate_A.npz")
tensors={name:load(name).astype(np.float32,copy=False) for name in names}
assert sum(a.size for a in tensors.values())==1480274
assert all(np.isfinite(a).all() for a in tensors.values())
assert all(np.array_equal(tensors[name],reference[name]) for name in names)
# Re-save the already validated checkpoint without changing any values.
for name,array in tensors.items():
save(name,array)
np.savez("/work/final_policy.npz",**tensors)
cfg=json.load(open("/work/candidate_A_config.json"))
json.dump(cfg,open("/work/final_policy_config.json","w"),indent=2)
open("/work/final_policy_design.py","w").write(
open("/work/policy_design_v23.py").read())
digest=hashlib.sha256()
for name in names:
digest.update(name.encode())
digest.update(tensors[name].tobytes())
manifest={
"sha256":digest.hexdigest(),
"completed_validation_passes":passes,
"pending_final_pass":50,
"summary_before_final_pass":summary,
"training_or_search_used":False
}
json.dump(manifest,open("/work/final_validation_manifest.json","w"),indent=2)
print(json.dumps(summary,indent=2))
print("All 14 final tensors saved, unchanged from candidate A.")
print("SHA256:",digest.hexdigest())
print("Final remaining pass will validate another 128 games against weak.")
```{
"t": 1792801294.8242168,
"kind": "python",
"s": 10.67,
"code": "import json, hashlib, numpy as np\n\npasses=[28,31,32,33,34,35]+list(range(38,50))\nall_games=[]\nfor k in passes:\n all_games.extend(json.load(open(\"/work/pass_%d/games.json\"%k)))\n\nsummary={}\nfor opponent in [\"strong\",\"weak\",\"random\"]:\n games=[g for g in all_games if g[\"opponent\"]==opponent]\n wins=sum(g[\"result\"]>0 for g in games)\n n=len(games)\n p=wins/n\n z=1.959963984540054\n den=1+z*z/n\n center=(p+z*z/(2*n))/den\n half=z*np.sqrt(p*(1-p)/n+z*z/(4*n*n))/den\n summary[opponent]={\n \"games\":n, \"wins\":wins, \"win_rate\":p,\n \"mean_margin\":float(np.mean([g[\"margin\"] for g in games])),\n \"wilson_95_percent\":[center-half,center+half],\n \"by_colour\":{\n colour:{\n \"games\":sum(g[\"net_color\"]==colour for g in games),\n \"wins\":sum(g[\"net_color\"]==colour and g[\"result\"]>0 for g in games)\n } for colour in [\"black\",\"white\"]\n }\n }\n\nnames=[\"L%d.%s\"%(k,t) for k in range(1,7) for t in [\"W\",\"b\"]]+[\"out.W\",\"out.b\"]\nreference=np.load(\"/work/candidate_A.npz\")\ntensors={name:load(name).astype(np.float32,copy=False) for name in names}\nassert sum(a.size for a in tensors.values())==1480274\nassert all(np.isfinite(a).all() for a in tensors.values())\nassert all(np.array_equal(tensors[name],reference[name]) for name in names)\n\n# Re-save the already validated checkpoint without changing any values.\nfor name,array in tensors.items():\n save(name,array)\nnp.savez(\"/work/final_policy.npz\",**tensors)\n\ncfg=json.load(open(\"/work/candidate_A_config.json\"))\njson.dump(cfg,open(\"/work/final_policy_config.json\",\"w\"),indent=2)\nopen(\"/work/final_policy_design.py\",\"w\").write(\n open(\"/work/policy_design_v23.py\").read())\n\ndigest=hashlib.sha256()\nfor name in names:\n digest.update(name.encode())\n digest.update(tensors[name].tobytes())\nmanifest={\n \"sha256\":digest.hexdigest(),\n \"completed_validation_passes\":passes,\n \"pending_final_pass\":50,\n \"summary_before_final_pass\":summary,\n \"training_or_search_used\":False\n}\njson.dump(manifest,open(\"/work/final_validation_manifest.json\",\"w\"),indent=2)\nprint(json.dumps(summary,indent=2))\nprint(\"All 14 final tensors saved, unchanged from candidate A.\")\nprint(\"SHA256:\",digest.hexdigest())\nprint(\"Final remaining pass will validate another 128 games against weak.\")\n",
"out": "{\n \"strong\": {\n \"games\": 2000,\n \"wins\": 1667,\n \"win_rate\": 0.8335,\n \"mean_margin\": 52.811,\n \"wilson_95_percent\": [\n 0.8165372993335623,\n 0.849184030129842\n ],\n \"by_colour\": {\n \"black\": {\n \"games\": 1000,\n \"wins\": 787\n },\n \"white\": {\n \"games\": 1000,\n \"wins\": 880\n }\n }\n },\n \"weak\": {\n \"games\": 176,\n \"wins\": 175,\n \"win_rate\": 0.9943181818181818,\n \"mean_margin\": 69.61363636363636,\n \"wilson_95_percent\": [\n 0.9685225276336739,\n 0.9989963144675896\n ],\n \"by_colour\": {\n \"black\": {\n \"games\": 88,\n \"wins\": 87\n },\n \"white\": {\n \"games\": 88,\n \"wins\": 88\n }\n }\n },\n \"random\": {\n \"games\": 128,\n \"wins\": 128,\n \"win_rate\": 1.0,\n \"mean_margin\": 65.8515625,\n \"wilson_95_percent\": [\n 0.9708630437264916,\n 1.0\n ],\n \"by_colour\": {\n \"black\": {\n \"games\": 64,\n \"wins\": 64\n },\n \"white\": {\n \"games\": 64,\n \"wins\": 64\n }\n }\n }\n}\nAll 14 final tensors saved, unchanged from candidate A.\nSHA256: dc92ab2b220254b8a377493bfb892d5c03c6e6fa69c8c370053a8328a076ea54\nFinal remaining pass will validate another 128 games against weak.\n"
}Recorded prompt · Raw CLI events · Settings and audit
OUTPUT of Python run 39 of at most 120:
```
{
"strong": {
"games": 2000,
"wins": 1667,
"win_rate": 0.8335,
"mean_margin": 52.811,
"wilson_95_percent": [
0.8165372993335623,
0.849184030129842
],
"by_colour": {
"black": {
"games": 1000,
"wins": 787
},
"white": {
"games": 1000,
"wins": 880
}
}
},
"weak": {
"games": 176,
"wins": 175,
"win_rate": 0.9943181818181818,
"mean_margin": 69.61363636363636,
"wilson_95_percent": [
0.9685225276336739,
0.9989963144675896
],
"by_colour": {
"black": {
"games": 88,
"wins": 87
},
"white": {
"games": 88,
"wins": 88
}
}
},
"random": {
"games": 128,
"wins": 128,
"win_rate": 1.0,
"mean_margin": 65.8515625,
"wilson_95_percent": [
0.9708630437264916,
1.0
],
"by_colour": {
"black": {
"games": 64,
"wins": 64
},
"white": {
"games": 64,
"wins": 64
}
}
}
}
All 14 final tensors saved, unchanged from candidate A.
SHA256: dc92ab2b220254b8a377493bfb892d5c03c6e6fa69c8c370053a8328a076ea54
Final remaining pass will validate another 128 games against weak.
```Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
```games
{"games":{"weak":128}}
```{
"t": 1792801343.9418051,
"kind": "games",
"k": 50,
"request": {
"games": {
"weak": 128
}
},
"result": {
"ok": true,
"pass": 50,
"kind": "games",
"per_opponent": {
"weak": {
"games": 128,
"score": 0.9765625,
"wins": 125,
"losses": 3,
"score_as_black": 0.953125,
"score_as_white": 1.0,
"mean_margin": 69.8984375,
"mean_length": 117.6171875,
"stones_captured_per_game": 71.84375,
"stones_lost_per_game": 2.125,
"passes_per_game": 1.78125,
"games_with_a_pass_before_move_60": 0,
"end_two_passes": 128,
"end_repetition": 0,
"end_move_limit": 0
}
},
"files": "/work/pass_50/",
"readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."
}
}Recorded prompt · Raw CLI events · Settings and audit
Games pass 50 of 50 done.
```
{"ok": true, "pass": 50, "kind": "games", "per_opponent": {"weak": {"games": 128, "score": 0.9765625, "wins": 125, "losses": 3, "score_as_black": 0.953125, "score_as_white": 1.0, "mean_margin": 69.8984375, "mean_length": 117.6171875, "stones_captured_per_game": 71.84375, "stones_lost_per_game": 2.125, "passes_per_game": 1.78125, "games_with_a_pass_before_move_60": 0, "end_two_passes": 128, "end_repetition": 0, "end_move_limit": 0}}, "files": "/work/pass_50/", "readme": "games.json: one entry per game (opponent, net_color, result +1/-1, margin = net's area score minus the opponent's incl. komi, end, stones captured / lost, moves: ply, by, move (row*9+col, 81 = pass), and for the network's moves its top-5 [move, probability]). boards.npy: (games, 162, 81) int8, the board AFTER each ply (1 Black, -1 White, 0 empty; index row*9+col); valid.npy: (games, 162) which plies were played."}
```
Passes left: 0.Code Mode is unavailable because code-mode host is disabled. Code mode will fail closed; enable `features.code_mode_host` and install `codex-code-mode-host`.
All 14 tensors are saved. The hand-coded, symmetry-preserving policy combines approximate group-liberty propagation, captures, connected-group rescues, self-atari and eye avoidance, and ko/snapback risk suppression. A third-line framework and territorial influence guide ordinary moves; Black passes less readily because of komi. No training or search was used. **Final unchanged network’s practice results:** - Strong: **1,667/2,000 — 83.35%** - Weak: **300/304 — 98.68%** - Random: **128/128 — 100%** Its strength comes from tactical discipline and preserving territory rather than filling eyes or making risky recaptures. Hidden-opponent performance remains unmeasured.
All 14 tensors are saved. The hand-coded, symmetry-preserving policy combines approximate group-liberty propagation, captures, connected-group rescues, self-atari and eye avoidance, and ko/snapback risk suppression. A third-line framework and territorial influence guide ordinary moves; Black passes less readily because of komi. No training or search was used. **Final unchanged network’s practice results:** - Strong: **1,667/2,000 — 83.35%** - Weak: **300/304 — 98.68%** - Random: **128/128 — 100%** Its strength comes from tactical discipline and preserving territory rather than filling eyes or making risky recaptures. Hidden-opponent performance remains unmeasured.