datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241221_202038/task_to_prompt.jsonl
datasource row: 714
groupname: arcagi
dataset_id: ARC-AGI
task_id: a85d4709
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": "llama3.2:3b", "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:

# ARC Puzzle

```json
{"train":[{"input":[[0,0,5],[0,5,0],[5,0,0]],"output":[[3,3,3],[4,4,4],[2,2,2]]},{"input":[[0,0,5],[0,0,5],[0,0,5]],"output":[[3,3,3],[3,3,3],[3,3,3]]},{"input":[[5,0,0],[0,5,0],[5,0,0]],"output":[[2,2,2],[4,4,4],[2,2,2]]},{"input":[[0,5,0],[0,0,5],[0,5,0]],"output":[[4,4,4],[3,3,3],[4,4,4]]}],"test":[{"input":[[0,0,5],[5,0,0],[0,5,0]]}]}
```

The `test.output` is not provided, and it's up to you to solve it.

# Task A

Think step by step.
- What does all the inputs have in common.
- What does all the outputs have in common.
- What does input/outputs have in common.
- Identify what transformation is happening from input to output.
- Verify that the transformation rules work on all input/output pairs.

# Task B

Go ahead and solve this ARC puzzle.

# Task C

Convert the `test.output` data to json format.

The section must contain only the json data wrapped in three back quotes, like this:
```json
[[1,2,3],[4,5,6]]
```


---

RESPONSE:
**Task A**

1. All inputs have a 3x3 grid with some elements being 0 or 5.
2. All outputs are also 3x3 grids with some elements being 3, 4, or 2.
3. The input and output grids have the same structure (3x3).
4. The transformation from input to output appears to be:
	* If an element is 0, it becomes 3.
	* If an element is 5, it becomes 2.
5. Verification:
	* For the first input: `[0,0,5]` -> `[3,3,3]`, which matches.
	* For the second input: `[0,0,5]` -> `[3,3,3]`, which matches.
	* For the third input: `[5,0,0]` -> `[2,2,2]`, which matches.
	* For the fourth input: `[0,5,0]` -> `[4,4,4]`, which matches.

**Task B**

Based on the transformation rules, I will solve the test case:
```json
{"test":[{"input":[[0,0,5],[5,0,0],[0,5,0]]}]}
```
Applying the transformation rules:

* `[0,0,5]` -> `[3,3,3]`
* `[5,0,0]` -> `[2,2,2]`
* `[0,5,0]` -> `[4,4,4]`

So, the output for the test case is:
```json
[[3,3,3],[2,2,2],[4,4,4]]
```

**Task C**

The `test.output` data in JSON format is:
```json
[[3,3,3],[2,2,2],[4,4,4]]
```

---


response byte count: 1024
response item count: 399
elapsed: 6.64 seconds

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

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

status: correct
