SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

game-of-life-step

codex gpt-5.5 ✓ resolved GOOD_SUCCESS ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
GOOD_SUCCESSLegitimate solve, implements the asked-for behavior; tests verify real functionality.
SubtypeLegitimate Solution
EvidenceAgent passed all 6 tests: test_output_exists, test_shipped_dimensions_and_values, test_shipped_walls_preserved, test_shipped_correct, test_not_identity_copy, and test_hidden_alternates (which exercises 12 randomized boards with walls and wrap-around). The agent's implementation correctly implements the toroidal Game-of-Life with walls using modulo arithmetic for wrapping and proper Conway rules application (survive on 2-3 neighbors, birth on 3). The agent's living_neighbours() function correctly counts only living cells (value 1), properly excluding walls (value 2) as required by instruction: 'it is never counted as a living neighbour.'
Root causeThe agent successfully understood the complex toroidal Game-of-Life specification with wall handling, implemented proper neighbor wrapping via modulo arithmetic, and correctly applied Conway's survival and birth rules across multiple generations. The solution passes all 6 test cases including comprehensive randomized hidden test cases.
RecommendationN/A - task is fine
Trajectory
Tool-by-tool agent trajectory
32 tool calls · 2 tool types · 41 steps
I’ll inspect the repository layout and the existing stub, then patch the implementation and run it against the provided data to verify the output file is produced.
shell
/bin/zsh -lc 'pwd && rg --files'
shell
/bin/zsh -lc 'pwd && rg --files'
output
<tmp>/workspace
data/grid.csv
data/config.json
main.py
task.toml
environment/README.md
instruction.md
shell
/bin/zsh -lc 'git status --short'
shell
/bin/zsh -lc 'git status --short'
output
fatal: not a git repository (or any of the parent directories): .git
The workspace is small and not a git repo, so there’s no version history to preserve. I’m reading the stub, config, and sample board now so the edit matches the existing entry point.
shell
/bin/zsh -lc "sed -n '1,220p' main.py"
shell
/bin/zsh -lc "sed -n '1,120p' data/config.json"
shell
/bin/zsh -lc "sed -n '1,220p' main.py"
output
# Starter stub for the toroidal Game-of-Life task.
#
# It reads the starting board from data/grid.csv and the run settings from
# data/config.json, then (for now) just copies the board straight through
# to output/next.csv WITHOUT advancing any generations. Replace the body so
# it actually evolves the board the requested number of steps under the rules
# described in the task.

import csv
import json
import os

with open("data/grid.csv") as f:
    grid = [[int(x) for x in row] for row in csv.reader(f) if row]

with open("data/config.json") as f:
    config = json.load(f)

generations = int(config["generations"])  # number of steps to advance
topology = config["topology"]

# TODO: replace this passthrough with the evolved board. As written it ignores
# the rules and the generation count, so it does not produce the requested board.
next_grid = grid

os.makedirs("output", exist_ok=True)
with open("output/next.csv", "w", newline="") as f:
    csv.writer(f).writerows(next_grid)
shell
/bin/zsh -lc "sed -n '1,120p' data/config.json"
output
{"topology": "toroidal", "generations": 3}
shell
/bin/zsh -lc "sed -n '1,40p' data/grid.csv"
shell
/bin/zsh -lc "sed -n '1,40p' data/grid.csv"
output
1,1,0,0,0,0,0,1
0,0,0,0,1,1,0,1
0,2,0,0,1,0,0,0
0,0,0,0,0,0,2,0
1,0,0,0,0,0,0,0
1,0,1,1,0,0,0,1
shell
/bin/zsh -lc "sed -n '1,220p' instruction.md"
shell
/bin/zsh -lc "sed -n '1,220p' instruction.md"
output
I have a Game-of-Life board waiting at data/grid.csv and I'd like you to evolve it forward a few generations on a wrap-around world. This is not the plain textbook version, so please read the rules below carefully before you start.

The board file has no header row. Each line is one row of the board, and within a line the cells are comma-separated integers. A cell holds one of three values: 0 means an empty (dead) cell, 1 means a living cell, and 2 means a permanent wall. Every row has the same number of columns, so the board is a rectangle. Walls are fixed obstacles built into the world: a wall is never alive and never becomes alive, it always stays a wall, and crucially it is never counted as a living neighbour when you tally up the cells around some other position. Think of a wall as a hole in the board that simply contributes nothing to anyone's neighbour count and carries its value 2 through unchanged to every later generation.

Alongside the board there is a small settings file at data/config.json. It has two fields. One is topology, which for this task is always the string toroidal and tells you the board wraps around. The other is generations, a positive integer giving exactly how many steps forward you should advance the board. So if generations is three, you apply the update rule three times in sequence, each new board computed from the one before it.

The wrap-around part is the important twist. The world is a torus: the left edge is glued to the right edge and the top edge is glued to the bottom edge. So a cell sitting in the leftmost column still has neighbours to its left, namely the cells in the rightmost column of the same rows, and likewise a cell in the top row has neighbours above it that come from the bottom row. The four corners wrap diagonally as well. The upshot is that every non-wall cell has exactly eight neighbour positions, found by stepping one cell in each of the eight directions and wrapping any index that runs off an edge back around t
… (+1640 chars truncated)
I’m going to replace the passthrough with a small synchronous step function: walls are copied first, all neighbor counts come from the prior grid, and row/column indexes use modulo arithmetic for the torus.
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/main.py
(empty file)
The implementation is in place. I’m running the script now and checking the generated CSV shape and contents against the expected format.
shell
/bin/zsh -lc "sed -n '1,220p' main.py"
shell
/bin/zsh -lc "sed -n '1,220p' main.py"
output
# Starter stub for the toroidal Game-of-Life task.
#
# It reads the starting board from data/grid.csv and the run settings from
# data/config.json, then (for now) just copies the board straight through
# to output/next.csv WITHOUT advancing any generations. Replace the body so
# it actually evolves the board the requested number of steps under the rules
# described in the task.

import csv
import json
import os

with open("data/grid.csv") as f:
    grid = [[int(x) for x in row] for row in csv.reader(f) if row]

with open("data/config.json") as f:
    config = json.load(f)

generations = int(config["generations"])  # number of steps to advance
topology = config["topology"]

if topology != "toroidal":
    raise ValueError(f"unsupported topology: {topology!r}")

rows = len(grid)
cols = len(grid[0]) if rows else 0


def living_neighbours(board, row, col):
    count = 0
    for row_delta in (-1, 0, 1):
        for col_delta in (-1, 0, 1):
            if row_delta == 0 and col_delta == 0:
                continue

            neighbour_row = (row + row_delta) % rows
            neighbour_col = (col + col_delta) % cols
            if board[neighbour_row][neighbour_col] == 1:
                count += 1

    return count


next_grid = grid
for _ in range(generations):
    current = next_grid
    updated = []

    for row_index, row in enumerate(current):
        updated_row = []
        for col_index, cell in enumerate(row):
            if cell == 2:
                updated_row.append(2)
                continue

            neighbours = living_neighbours(current, row_index, col_index)
            if cell == 1:
                updated_row.append(1 if neighbours in (2, 3) else 0)
            else:
                updated_row.append(1 if neighbours == 3 else 0)

        updated.append(updated_row)

    next_grid = updated

os.makedirs("output", exist_ok=True)
with open("output/next.csv", "w", newline="") as f:
    csv.writer(f).writerows(next_grid)
shell
/bin/zsh -lc 'python3 main.py'
shell
/bin/zsh -lc 'python3 main.py'
`main.py` ran cleanly and wrote `output/next.csv`. I’m doing one quick structural check now: dimensions preserved, values limited to `0/1/2`, and input wall positions still walls.
shell
/bin/zsh -lc "sed -n '1,80p' output/next.csv"
shell
/bin/zsh -lc "sed -n '1,80p' output/next.csv"
output
0,1,1,1,0,1,0,0
0,1,1,0,0,0,0,0
0,2,0,0,0,0,0,0
1,1,0,0,0,0,2,0
1,1,0,0,0,0,0,0
1,0,1,0,0,0,0,0
shell
/bin/zsh -lc "python3 - <<'PY'
import csv

def read(path):
    with open(path) as f:
        return [[int(x) for x in row] for row in csv.reader(f) if row]

grid = read('data/grid.csv')
out = read('output/next.csv')
print('input shape:', len(grid), 'x', len(grid[0]) if grid else 0)
print('output shape:', len(out), 'x', len(out[0]) if out else 0)
print('valid values:', sorted({cell for row in out for cell in row}))
print('walls preserved:', all(out[r][c] == 2 for r, row in enumerate(grid) for c, cell in enumerate(row) if cell == 2))
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import csv

def read(path):
    with open(path) as f:
        return [[int(x) for x in row] for row in csv.reader(f) if row]

grid = read('data/grid.csv')
out = read('output/next.csv')
print('input shape:', len(grid), 'x', len(grid[0]) if grid else 0)
print('output shape:', len(out), 'x', len(out[0]) if out else 0)
print('valid values:', sorted({cell for row in out for cell in row}))
print('walls preserved:', all(out[r][c] == 2 for r, row in enumerate(grid) for c, cell in enumerate(row) if cell == 2))
PY"
output
input shape: 6 x 8
output shape: 6 x 8
valid values: [0, 1, 2]
walls preserved: True
The generated board is structurally correct. I’m making one small cleanup before finishing: use `\n` CSV line endings explicitly and update the stale stub comment so the file describes what it now does.
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/main.py
(empty file)
I’ve applied the cleanup and am rerunning the script once more to leave `output/next.csv` regenerated by the final code.
shell
/bin/zsh -lc 'python3 main.py'
shell
/bin/zsh -lc 'python3 main.py'
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
Both execution and syntax compilation passed. I’m checking the final CSV one last time so the answer includes the actual generated board.
shell
/bin/zsh -lc "sed -n '1,80p' output/next.csv"
shell
/bin/zsh -lc "sed -n '1,80p' output/next.csv"
output
0,1,1,1,0,1,0,0
0,1,1,0,0,0,0,0
0,2,0,0,0,0,0,0
1,1,0,0,0,0,2,0
1,1,0,0,0,0,0,0
1,0,1,0,0,0,0,0
shell
/bin/zsh -lc "python3 - <<'PY'
import csv

def read(path):
    with open(path) as f:
        return [[int(x) for x in row] for row in csv.reader(f) if row]

grid = read('data/grid.csv')
out = read('output/next.csv')
print(len(out) == len(grid) and all(len(a) == len(b) for a, b in zip(out, grid)))
print(all(cell in (0, 1, 2) for row in out for cell in row))
print(all(out[r][c] == 2 for r, row in enumerate(grid) for c, cell in enumerate(row) if cell == 2))
PY"
shell
/bin/zsh -lc "python3 - <<'PY'
import csv

def read(path):
    with open(path) as f:
        return [[int(x) for x in row] for row in csv.reader(f) if row]

grid = read('data/grid.csv')
out = read('output/next.csv')
print(len(out) == len(grid) and all(len(a) == len(b) for a, b in zip(out, grid)))
print(all(cell in (0, 1, 2) for row in out for cell in row))
print(all(out[r][c] == 2 for r, row in enumerate(grid) for c, cell in enumerate(row) if cell == 2))
PY"
output
True
True
True
Implemented [main.py](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/main.py) to evolve the board synchronously on a toroidal grid, preserve wall cells, and write [output/next.csv](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-b6gukgnn/workspace/output/next.csv). Final output: ```csv 0,1,1,1,0,1,0,0 0,1,1,0,0,0,0,0 0,2,0,0,0,0,0,0 1,1,0,0,0,0,2,0 1,1,0,0,0,0,0,0 1,0,1,0,0,0,0,0 ``` Verified with `python3 main.py` and `python3 -m py_compile main.py`; dimensions, valid values, and wall preservation all check out.
Final diff , what the agent changed
--- a/main.py
+++ b/main.py
@@ -1,10 +1,8 @@
-# Starter stub for the toroidal Game-of-Life task.
+# Solver for the toroidal Game-of-Life task.
#
# It reads the starting board from data/grid.csv and the run settings from
-# data/config.json, then (for now) just copies the board straight through
-# to output/next.csv WITHOUT advancing any generations. Replace the body so
-# it actually evolves the board the requested number of steps under the rules
-# described in the task.
+# data/config.json, evolves the board the requested number of generations, and
+# writes the result to output/next.csv.
import csv
import json
@@ -19,10 +17,50 @@
generations = int(config["generations"]) # number of steps to advance
topology = config["topology"]
-# TODO: replace this passthrough with the evolved board. As written it ignores
-# the rules and the generation count, so it does not produce the requested board.
+if topology != "toroidal":
+ raise ValueError(f"unsupported topology: {topology!r}")
+
+rows = len(grid)
+cols = len(grid[0]) if rows else 0
+
+
+def living_neighbours(board, row, col):
+ count = 0
+ for row_delta in (-1, 0, 1):
+ for col_delta in (-1, 0, 1):
+ if row_delta == 0 and col_delta == 0:
+ continue
+
+ neighbour_row = (row + row_delta) % rows
+ neighbour_col = (col + col_delta) % cols
+ if board[neighbour_row][neighbour_col] == 1:
+ count += 1
+
+ return count
+
+
next_grid = grid
+for _ in range(generations):
+ current = next_grid
+ updated = []
+
+ for row_index, row in enumerate(current):
+ updated_row = []
+ for col_index, cell in enumerate(row):
+ if cell == 2:
+ updated_row.append(2)
+ continue
+
+ neighbours = living_neighbours(current, row_index, col_index)
+ if cell == 1:
+ updated_row.append(1 if neighbours in (2, 3) else 0)
+ else:
+ updated_row.append(1 if neighbours == 3 else 0)
+
+ updated.append(updated_row)
+
+ next_grid = updated
os.makedirs("output", exist_ok=True)
with open("output/next.csv", "w", newline="") as f:
- csv.writer(f).writerows(next_grid)
+ csv.writer(f, lineterminator="\n").writerows(next_grid)
--- /dev/null
+++ b/output/next.csv
@@ -0,0 +1,6 @@
+0,1,1,1,0,1,0,0
+0,1,1,0,0,0,0,0
+0,2,0,0,0,0,0,0
+1,1,0,0,0,0,2,0
+1,1,0,0,0,0,0,0
+1,0,1,0,0,0,0,0
Verifier output , the proof behind the reward
tests/test.sh
============================= test session starts ==============================
platform darwin -- Python 3.12.4, pytest-8.4.1, pluggy-1.6.0 -- /Library/Frameworks/Python.framework/Versions/3.12/bin/python3
cachedir: .pytest_cache
rootdir: <tmp>/workspace
plugins: anyio-4.12.1, respx-0.22.0, mock-3.15.1, asyncio-0.21.1
asyncio: mode=Mode.STRICT
collecting ... collected 6 items

tests/test_outputs.py::test_output_exists PASSED                         [ 16%]
tests/test_outputs.py::test_shipped_dimensions_and_values PASSED         [ 33%]
tests/test_outputs.py::test_shipped_walls_preserved PASSED               [ 50%]
tests/test_outputs.py::test_shipped_correct PASSED                       [ 66%]
tests/test_outputs.py::test_not_identity_copy PASSED                     [ 83%]
tests/test_outputs.py::test_hidden_alternates PASSED                     [100%]

============================== 6 passed in 0.26s ===============================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_43aa724b5fd14b89. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_43aa724b5fd14b89 · verifier authoritative; classifier explanatory.