E6c45b 4

datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 173
groupname: arcagi
dataset_id: ARC-AGI
task_id: 66e6c45b
test_index: 0
max_prompt_length: 2000
max_response_length: 1000

LLM:
{"system_prompt": null, "pydantic_program_mode": "default", "base_url": "http://localhost:11434", "model": "llama3.1:latest", "temperature": 0.0, "context_window": 3900, "request_timeout": 120.0, "prompt_key": "prompt", "json_mode": false, "additional_kwargs": {}, "is_function_calling_model": true, "keep_alive": null, "class_name": "Ollama_llm"}

SYSTEM PROMPT:
Be concise

---

PROMPT:
Find the common rule that maps an input grid to an output grid, given the examples below.

Example 1:

Input:
0 0 0 0
0 3 4 0
0 7 6 0
0 0 0 0
Output:
3 0 0 4
0 0 0 0
0 0 0 0
7 0 0 6

Example 2:

Input:
0 0 0 0
0 5 6 0
0 8 3 0
0 0 0 0
Output:
5 0 0 6
0 0 0 0
0 0 0 0
8 0 0 3

Below is a test input grid. Predict the corresponding output grid by applying the rule you found. Your final answer should just be the text output grid itself.

Input:
0 0 0 0
0 2 3 0
0 4 9 0
0 0 0 0


---

RESPONSE:
Based on the examples, it appears that the common rule is to rotate the input grid clockwise by 90 degrees and then swap the first and last columns.

Applying this rule to the test input grid:

Input:
0 0 0 0
0 2 3 0
0 4 9 0
0 0 0 0

Output:
2 0 0 3
0 0 0 0
0 0 0 0
4 0 0 9

---


response byte count: 273
response item count: 109
elapsed: 2.53 seconds

expected output:
[[2, 0, 0, 3], [0, 0, 0, 0], [0, 0, 0, 0], [4, 0, 0, 9]]

predicted output:
[[2, 0, 0, 3], [0, 0, 0, 0], [0, 0, 0, 0], [4, 0, 0, 9]]

status: correct