datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 44
groupname: arcagi
dataset_id: ARC-AGI
task_id: 1a2e2828
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:
0 2 2 0 0 0 0 8 0 0 0 0
0 2 2 0 0 0 0 8 0 0 0 0
3 2 2 3 3 3 3 8 3 3 3 3
3 2 2 3 3 3 3 8 3 3 3 3
0 2 2 0 0 0 0 8 0 0 0 0
6 6 6 6 6 6 6 6 6 6 6 6
0 2 2 0 0 0 0 8 0 0 0 0
0 2 2 0 0 0 0 8 0 0 0 0
Output:
6

Example 2:

Input:
0 0 0 4 4 0 0 0 8 0 0
0 0 0 4 4 0 0 0 8 0 0
3 3 3 4 4 3 3 3 8 3 3
0 0 0 4 4 0 0 0 8 0 0
0 0 0 4 4 0 0 0 8 0 0
6 6 6 6 6 6 6 6 8 6 6
6 6 6 6 6 6 6 6 8 6 6
0 0 0 4 4 0 0 0 8 0 0
0 0 0 4 4 0 0 0 8 0 0
Output:
8

Example 3:

Input:
0 2 2 0 6 0 0 8 8 0 0
1 2 2 1 6 1 1 8 8 1 1
1 2 2 1 6 1 1 8 8 1 1
1 2 2 1 6 1 1 8 8 1 1
0 2 2 0 6 0 0 8 8 0 0
0 2 2 0 6 0 0 8 8 0 0
4 4 4 4 6 4 4 4 4 4 4
4 4 4 4 6 4 4 4 4 4 4
0 2 2 0 6 0 0 8 8 0 0
0 2 2 0 6 0 0 8 8 0 0
0 2 2 0 6 0 0 8 8 0 0
Output:
6

Example 4:

Input:
0 0 0 0 3 3 0 0 5 0 0 0
2 2 2 2 3 3 2 2 5 2 2 2
0 0 0 0 3 3 0 0 5 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1
0 0 0 0 3 3 0 0 5 0 0 0
4 4 4 4 4 4 4 4 5 4 4 4
4 4 4 4 4 4 4 4 5 4 4 4
0 0 0 0 3 3 0 0 5 0 0 0
0 0 0 0 3 3 0 0 5 0 0 0
0 0 0 0 3 3 0 0 5 0 0 0
Output:
1

Example 5:

Input:
0 1 0
3 3 3
0 1 0
Output:
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 3 3 0 0 0 0 7 0 0 0
0 0 0 3 3 0 0 0 0 7 0 0 0
1 1 1 3 3 1 1 1 1 7 1 1 1
1 1 1 3 3 1 1 1 1 7 1 1 1
0 0 0 3 3 0 0 0 0 7 0 0 0
0 0 0 3 3 0 0 0 0 7 0 0 0
6 6 6 6 6 6 6 6 6 7 6 6 6
0 0 0 3 3 0 0 0 0 7 0 0 0
0 0 0 3 3 0 0 0 0 7 0 0 0
0 0 0 3 3 0 0 0 0 7 0 0 0
0 0 0 3 3 0 0 0 0 7 0 0 0


---

RESPONSE:
After analyzing the examples, I found that the common rule is:

The output grid contains a single number that is equal to the maximum value in the input grid.

In other words, the rule is to find the maximum value in the input grid and use it as the only element in the output grid.

Applying this rule to the test input grid, I get:

Output:
7

---


response byte count: 344
response item count: 77
elapsed: 4.54 seconds

expected output:
[[7]]

predicted output:
[[7]]

status: correct
