datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241221_202038/task_to_prompt.jsonl
datasource row: 614
groupname: arcagi
dataset_id: ARC-AGI
task_id: 6d0aefbc
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": "qwen2.5-coder: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:

# ARC Puzzle

```json
{"train":[{"input":[[6,6,6],[1,6,1],[8,8,6]],"output":[[6,6,6,6,6,6],[1,6,1,1,6,1],[8,8,6,6,8,8]]},{"input":[[6,8,1],[6,1,1],[1,1,6]],"output":[[6,8,1,1,8,6],[6,1,1,1,1,6],[1,1,6,6,1,1]]},{"input":[[1,1,1],[8,1,6],[6,8,8]],"output":[[1,1,1,1,1,1],[8,1,6,6,1,8],[6,8,8,8,8,6]]},{"input":[[1,1,1],[1,6,6],[6,6,6]],"output":[[1,1,1,1,1,1],[1,6,6,6,6,1],[6,6,6,6,6,6]]}],"test":[{"input":[[6,8,6],[8,6,8],[1,6,1]]}]}
```

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: Identifying Patterns and Transformation Rules

#### Commonalities in Inputs:
- All inputs are 3x3 matrices.
- The values in the input matrices range from 1 to 8.

#### Commonalities in Outputs:
- All outputs are 3x6 matrices.
- Each output matrix has a pattern where each row is repeated twice.

#### Input/Output Relationship:
- For each input matrix, the transformation rule appears to be duplicating each row of the input matrix to form a new 3x6 matrix.

### Task B: Solving the Puzzle

Given the transformation rule identified in Task A, we can apply it to the test case:

**Test Input:**
```json
[[6,8,6],[8,6,8],[1,6,1]]
```

Applying the duplication rule:
- Duplicate each row of the input matrix.

**Test Output:**
```json
[[6,8,6,6,8,6],[8,6,8,8,6,8],[1,6,1,1,6,1]]
```

### Task C: Converting Test Output to JSON Format

The test output is already in the correct JSON format. Here it is again for clarity:

```json
[[6,8,6,6,8,6],[8,6,8,8,6,8],[1,6,1,1,6,1]]
```

---


response text byte count: 985
number of response items: 300
elapsed: 10.11 seconds

expected output:
[[6, 8, 6, 6, 8, 6], [8, 6, 8, 8, 6, 8], [1, 6, 1, 1, 6, 1]]

predicted output:
[[6, 8, 6, 6, 8, 6], [8, 6, 8, 8, 6, 8], [1, 6, 1, 1, 6, 1]]

status: correct
