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
EvidenceAll 6 tests passed including: test_shipped_correct (verifies output matches _evolve() reference implementation), test_hidden_alternates (12 hidden test cases with varying board dimensions 6-11x6-11, wall placements, and generation counts 1-4), test_shipped_walls_preserved (verifies walls remain as 2), test_not_identity_copy (verifies board was evolved, not copied). Agent implemented living_neighbors() function with modulo wrapping and evolve_once() with Conway's rules (survive 2-3, birth 3), structured differently from reference solution but functionally equivalent. No access to solution/ or tests/ during execution - agent derived solution solely from instruction.md requirements.
Root causeAgent correctly understood the toroidal Game of Life specification including wrap-around topology, wall preservation, and Conway's rules, then implemented a working solution that passed all verification tests including 12 diverse hidden test cases.
RecommendationN/A - task is fine
Trajectory
Tool-by-tool agent trajectory
28 tool calls · 2 tool types · 35 steps
I’ll inspect the existing stub and data layout first, then patch the implementation and run it against the provided files.
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"]

# 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 '1,80p' data/config.json && sed -n '1,12p' data/grid.csv"
shell
/bin/zsh -lc "sed -n '1,80p' data/config.json && sed -n '1,12p' data/grid.csv"
output
{"topology": "toroidal", "generations": 3}
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 '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
The stub is a direct passthrough. I’m replacing it with a synchronous step function that preserves `2` walls, counts only `1` neighbours, and uses modulo indices for the toroidal wrap.
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/main.py
(empty file)
The implementation is in place. I’m running the script now, then I’ll inspect the generated CSV so we know it produced the expected output file shape.
shell
/bin/zsh -lc 'python3 main.py'
shell
/bin/zsh -lc 'python3 main.py'
shell
/bin/zsh -lc "sed -n '1,20p' output/next.csv"
shell
/bin/zsh -lc "sed -n '1,20p' 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 'git diff -- main.py output/next.csv'
shell
/bin/zsh -lc 'git diff -- main.py output/next.csv'
output
diff --git a/main.py b/output/next.csv
index a3bd7f9..a35d029 100644
--- a/main.py
+++ b/output/next.csv
@@ -1,75 +1,6 @@
-# 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}")
-
-
-def living_neighbors(board, row, col):
-    rows = len(board)
-    cols = len(board[0])
-    count = 0
-
-    for dr in (-1, 0, 1):
-        for dc in (-1, 0, 1):
-            if dr == 0 and dc == 0:
-                continue
-
-            neighbor_row = (row + dr) % rows
-            neighbor_col = (col + dc) % cols
-            if board[neighbor_row][neighbor_col] == 1:
-                count += 1
-
-    return count
-
-
-def evolve_once(board):
-    rows = len(board)
-    cols = len(board[0])
-    next_board = []
-
-    for row in range(rows):
-        next_row = []
-        for col in range(cols):
-            cell = board[row][col]
-
-            if cell == 2:
-                next_row.append(2)
-                continue
-
-            neighbors = living_neighbors(board, row, col)
-            if cell == 1:
-                next_row.append(1 if neighbors in (2, 3) else 0)
-            else:
-                next_row.append(1 if neighbors == 3 else 0)
-
-        next_board.append(next_row)
-
-    return next_board
-
-
-next_grid = grid
-for _ in range(generation
… (+285 chars truncated)
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
shell
/bin/zsh -lc 'python3 -m py_compile main.py'
The script runs cleanly and produced a 6x8 board with walls preserved. I noticed `csv.writer` defaults to CRLF line endings, so I’m tightening the writer to emit plain `\n` rows for a cleaner Unix-style CSV.
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/main.py
(empty file)
write · /var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/main.py
(empty file)
I’m rerunning the final version and checking syntax one more time.
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'
The final run and syntax check both passed. I’m doing a last read of the output file and removing the temporary bytecode cache created by the syntax check.
shell
/bin/zsh -lc "sed -n '1,20p' output/next.csv"
shell
/bin/zsh -lc "sed -n '1,20p' 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 'rm -rf __pycache__'
shell
/bin/zsh -lc 'rm -rf __pycache__'
shell
/bin/zsh -lc 'nl -ba main.py'
shell
/bin/zsh -lc 'nl -ba main.py'
output
     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	if topology != "toroidal":
    23	    raise ValueError(f"Unsupported topology: {topology}")
    24	
    25	
    26	def living_neighbors(board, row, col):
    27	    rows = len(board)
    28	    cols = len(board[0])
    29	    count = 0
    30	
    31	    for dr in (-1, 0, 1):
    32	        for dc in (-1, 0, 1):
    33	            if dr == 0 and dc == 0:
    34	                continue
    35	
    36	            neighbor_row = (row + dr) % rows
    37	            neighbor_col = (col + dc) % cols
    38	            if board[neighbor_row][neighbor_col] == 1:
    39	                count += 1
    40	
    41	    return count
    42	
    43	
    44	def evolve_once(board):
    45	    rows = len(board)
    46	    cols = len(board[0])
    47	    next_board = []
    48	
    49	    for row in range(rows):
    50	        next_row = []
    51	        for col in range(cols):
    52	            cell = board[row][col]
    53	
    54	            if cell == 2:
    55	                next_row.append(2)
    56	                continue
    57	
    58	            neighbors = living_neighbors(board, row, col)
    59	            if cell == 1:
    60	                nex
… (+526 chars truncated)
Implemented the toroidal Game of Life logic in [main.py](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/main.py:26). It now: - Reads `data/grid.csv` and `data/config.json` - Advances exactly `generations` steps - Wraps neighbour lookup with modulo indexing - Preserves wall cells as `2` - Counts only living cells `1` - Writes the final board to [output/next.csv](/var/folders/4w/8dz5qwsn6p79xjvgb6gwgs640000gn/T/eval-platform-local-pkraua2d/workspace/output/next.csv) Verification passed with: ```bash python3 main.py python3 -m py_compile main.py ``` Final generated board: ```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 ```
Final diff , what the agent changed
--- a/main.py
+++ b/main.py
@@ -19,10 +19,57 @@
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}")
+
+
+def living_neighbors(board, row, col):
+ rows = len(board)
+ cols = len(board[0])
+ count = 0
+
+ for dr in (-1, 0, 1):
+ for dc in (-1, 0, 1):
+ if dr == 0 and dc == 0:
+ continue
+
+ neighbor_row = (row + dr) % rows
+ neighbor_col = (col + dc) % cols
+ if board[neighbor_row][neighbor_col] == 1:
+ count += 1
+
+ return count
+
+
+def evolve_once(board):
+ rows = len(board)
+ cols = len(board[0])
+ next_board = []
+
+ for row in range(rows):
+ next_row = []
+ for col in range(cols):
+ cell = board[row][col]
+
+ if cell == 2:
+ next_row.append(2)
+ continue
+
+ neighbors = living_neighbors(board, row, col)
+ if cell == 1:
+ next_row.append(1 if neighbors in (2, 3) else 0)
+ else:
+ next_row.append(1 if neighbors == 3 else 0)
+
+ next_board.append(next_row)
+
+ return next_board
+
+
next_grid = grid
+for _ in range(generations):
+ next_grid = evolve_once(next_grid)
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_2b18d3928daf40a4. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_2b18d3928daf40a4 · verifier authoritative; classifier explanatory.