datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 802
groupname: arcagi
dataset_id: ARC-AGI
task_id: d9fac9be
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

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

Example 1:

Input:
2 0 0 0 0 2 0 0 2
0 4 4 4 0 0 0 0 0
0 4 2 4 0 0 2 0 0
0 4 4 4 0 0 0 2 0
2 0 0 0 0 2 0 0 0
Output:
2

Example 2:

Input:
8 0 8 0 0 0 0 0 8
0 0 0 0 8 0 0 0 0
0 0 8 0 0 3 3 3 0
8 0 0 3 0 3 8 3 0
0 0 0 0 0 3 3 3 0
0 0 8 0 0 0 0 0 0
3 0 0 8 0 0 0 8 0
Output:
8

Example 3:

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

Example 4:

Input:
0 8 0 0 0 0 0 0 0 0 3 8
3 0 0 0 0 0 0 8 0 3 0 0
0 3 3 8 0 0 0 0 0 0 0 8
0 0 0 3 8 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 8 0
0 0 0 3 8 0 0 0 0 0 0 0
0 3 0 0 0 0 0 0 0 0 0 0
0 0 0 3 3 3 0 0 8 0 3 0
0 0 3 3 8 3 0 0 0 0 0 0
0 0 0 3 3 3 0 0 0 0 0 0
0 0 3 0 0 0 0 0 0 0 0 0
Output:
8

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 0 0 0 0 1 0 0
1 0 0 0 0 0 4 0 0 1 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 1 4 0 0 4 0 0 0
0 4 0 1 0 0 0 0 0 0 0 0
0 0 0 0 0 1 0 4 4 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 0 0 4 0 0 0
0 0 0 0 1 1 1 0 0 0 0 4
4 0 0 0 1 4 1 1 0 0 0 0
0 0 0 0 1 1 1 0 0 0 0 4
0 0 4 4 0 0 0 1 0 0 0 0


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

The output grid contains a single cell with the maximum value from the input grid.

In other words, the rule is to find the maximum number in the input grid and place it as the only non-zero value in the output grid.

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

Output:
4

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response byte count: 342
response item count: 76
elapsed: 4.83 seconds

expected output:
[[4]]

predicted output:
[[4]]

status: correct
