tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.<tmp>/workspace
EISDIR: illegal operation on a directory, read '<tmp>/workspace'
find <tmp>/workspace -type f | head -20
<tmp>/workspace/instruction.md <tmp>/workspace/task.toml <tmp>/workspace/main.py <tmp>/workspace/environment/README.md <tmp>/workspace/data/config.json <tmp>/workspace/data/grid.csv
<tmp>/workspace/main.py
1 # Starter stub for the toroidal Game-of-Life task.
2 #
3 # It reads the starting board from data/grid.csv and the run settings from
4 # data/config.json, then (for now) just copies the board straight through
5 # to output/next.csv WITHOUT advancing any generations. Replace the body so
6 # it actually evolves the board the requested number of steps under the rules
7 # described in the task.
8
9 import csv
10 import json
11 import os
12
13 with open("data/grid.csv") as f:
14 grid = [[int(x) for x in row] for row in csv.reader(f) if row]
15
16 with open("data/config.json") as f:
17 config = json.load(f)
18
19 generations = int(config["generations"]) # number of steps to advance
20 topology = config["topology"]
21
22 # TODO: replace this passthrough with the evolved board. As written it ignores
23 # the rules and the generation count, so it does not produce the requested board.
24 next_grid = grid
25
26 os.makedirs("output", exist_ok=True)
27 with open("output/next.csv", "w", newline="") as f:
28 csv.writer(f).writerows(next_grid)
29<tmp>/workspace/data/grid.csv
1 1,1,0,0,0,0,0,1 2 0,0,0,0,1,1,0,1 3 0,2,0,0,1,0,0,0 4 0,0,0,0,0,0,2,0 5 1,0,0,0,0,0,0,0 6 1,0,1,1,0,0,0,1 7
<tmp>/workspace/data/config.json
1 {"topology": "toroidal", "generations": 3}
2<tmp>/workspace/main.py
# 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
def count_neighbors(grid, row, col):
"""Count living neighbors in a toroidal grid, ignoring walls."""
rows = len(grid)
cols = len(grid[0])
count = 0
# Check all 8 neighbors with wrap-around
for dr in [-1, 0, 1]:
for dc in [-1, 0, 1]:
if dr == 0 and dc == 0:
continue
nr = (row + dr) % rows
nc = (col + dc) % cols
if grid[nr][nc] == 1:
count += 1
return count
def evolve_generation(grid):
"""Evolve the grid one generation forward."""
rows = len(grid)
cols = len(grid[0])
new_grid = [[0] * cols for _ in range(rows)]
for r in range(rows):
for c in range(cols):
if grid[r][c] == 2:
# Walls stay walls
new_grid[r][c] = 2
else:
neighbors = count_neighbors(grid, r, c)
if grid[r][c] == 1:
# Living cell survives with 2-3 neighbors
new_grid[r][c] = 1 if neighbors in (2, 3) else 0
else:
# Empty cell becomes alive with exactly 3 neighbors
new_grid[r][c] = 1 if neighbors == 3 else 0
return new_grid
# Evolve the grid for the requested number of generations
next_grid = grid
for _ in range(generations):
next_grid = evolve_generation(next_grid)python main.py
Exit code 127 (eval):1: command not found: python
python3 main.py
(Bash completed with no output)
<tmp>/workspace/output/next.csv
1 0,1,1,1,0,1,0,0 2 0,1,1,0,0,0,0,0 3 0,2,0,0,0,0,0,0 4 1,1,0,0,0,0,2,0 5 1,1,0,0,0,0,0,0 6 1,0,1,0,0,0,0,0 7
cat > /tmp/verify.py << 'EOF'
# Verification: trace through the evolution manually
grid = [
[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],
]
def count_neighbors(grid, row, col):
rows = len(grid)
cols = len(grid[0])
count = 0
for dr in [-1, 0, 1]:
for dc in [-1, 0, 1]:
if dr == 0 and dc == 0:
continue
nr = (row + dr) % rows
nc = (col + dc) % cols
if grid[nr][nc] == 1:
count += 1
return count
# Check a few cells to verify
print(f"Cell (0,0) value={grid[0][0]}, neighbors={count_neighbors(grid, 0, 0)}")
print(f"Cell (0,1) value={grid[0][1]}, neighbors={count_neighbors(grid, 0, 1)}")
print(f"Cell (2,1) value={grid[2][1]}, neighbors={count_neighbors(grid, 2, 1)}") # Wall cell
print(f"Cell (1,4) value={grid[1][4]}, neighbors={count_neighbors(grid, 1, 4)}")
EOF
python3 /tmp/verify.py
Cell (0,0) value=1, neighbors=5 Cell (0,1) value=1, neighbors=3 Cell (2,1) value=2, neighbors=0 Cell (1,4) value=1, neighbors=2
============================= 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 0.28s ===============================
Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_e638457c5a0d400b. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.
Trial trial_e638457c5a0d400b · verifier authoritative; classifier explanatory.