datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 178
groupname: arcagi
dataset_id: ARC-AGI
task_id: 68b67ca3
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:
You are an expert at solving ARC (Abstraction & reasoning corpus) puzzles

---

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

Example 1:

Input:
2 0 2 0 1 0
0 0 0 0 0 0
2 0 1 0 0 0
0 0 0 0 0 0
3 0 0 0 0 0
0 0 0 0 0 0
Output:
2 2 1
2 1 0
3 0 0

Example 2:

Input:
3 0 0 0 2 0
0 0 0 0 0 0
8 0 0 0 8 0
0 0 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 0
Output:
3 0 2
8 0 8
0 1 0

Example 3:

Input:
1 0 0 0 0 0
0 0 0 0 0 0
0 0 2 0 0 0
0 0 0 0 0 0
6 0 0 0 6 0
0 0 0 0 0 0
Output:
1 0 0
0 2 0
6 0 6

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:
3 0 3 0 4 0
0 0 0 0 0 0
7 0 0 0 1 0
0 0 0 0 0 0
7 0 0 0 1 0
0 0 0 0 0 0


---

RESPONSE:
Based on the examples provided, I've identified a common rule that maps an input grid to an output grid.

The rule appears to be: "Select every third column from left to right, and write down the non-zero values in those columns."

Applying this rule to the test input grid:

Input:
3 0 3 0 4 0
0 0 0 0 0 0
7 0 0 0 1 0
0 0 0 0 0 0
7 0 0 0 1 0
0 0 0 0 0 0

Output:
3 3 4
7 0 1
7 0 1

---


response byte count: 381
response item count: 153
elapsed: 4.99 seconds

expected output:
[[3, 3, 4], [7, 0, 1], [7, 0, 1]]

predicted output:
[[3, 3, 4], [7, 0, 1], [7, 0, 1]]

status: correct
