datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 834
groupname: arcagi
dataset_id: ARC-AGI
task_id: e9afcf9a
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 brief and clear in your responses

---

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

Example 1:

Input:
3 3 3 3 3 3
9 9 9 9 9 9
Output:
3 9 3 9 3 9
9 3 9 3 9 3

Example 2:

Input:
4 4 4 4 4 4
8 8 8 8 8 8
Output:
4 8 4 8 4 8
8 4 8 4 8 4

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:
6 6 6 6 6 6
2 2 2 2 2 2


---

RESPONSE:
The common rule appears to be swapping the first and second elements of each pair, alternating between them.

Applying this rule to the test input grid:

Output: 
6 2 6 2 6 2
2 6 2 6 2 6

---


response byte count: 186
response item count: 57
elapsed: 2.15 seconds

expected output:
[[6, 2, 6, 2, 6, 2], [2, 6, 2, 6, 2, 6]]

predicted output:
[[6, 2, 6, 2, 6, 2], [2, 6, 2, 6, 2, 6]]

status: correct
