datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241221_202038/task_to_prompt.jsonl
datasource row: 621
groupname: arcagi
dataset_id: ARC-AGI
task_id: 6f8cd79b
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":[[0,0,0],[0,0,0],[0,0,0]],"output":[[8,8,8],[8,0,8],[8,8,8]]},{"input":[[0,0,0],[0,0,0],[0,0,0],[0,0,0]],"output":[[8,8,8],[8,0,8],[8,0,8],[8,8,8]]},{"input":[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0]],"output":[[8,8,8,8],[8,0,0,8],[8,0,0,8],[8,0,0,8],[8,8,8,8]]},{"input":[[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0]],"output":[[8,8,8,8,8,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,8,8,8,8,8]]}],"test":[{"input":[[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0]]}]}
```

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: Analysis

**Inputs:**
- All inputs are matrices filled with zeros.
- The size of the matrix increases from 3x3 to 7x7.

**Outputs:**
- All outputs have a central column (or row) filled with zeros, and all other elements set to 8.
- The size of the output matches the input size.

**Input/Output Relationship:**
- For each input matrix, the transformation involves setting the central column (or row) to zero while keeping the rest of the elements as 8.

### Task B: Solving the Puzzle

Given the pattern identified in Task A, we can apply the same transformation to the test input:

**Test Input:**
```json
[[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0],[0,0,0,0,0,0]]
```

**Test Output:**
```json
[[8,8,8,8,8,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,8,8,8,8,8]]
```

### Task C: JSON Format for Test Output

```json
[[8,8,8,8,8,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,0,0,0,0,8],[8,8,8,8,8,8]]
```

---


response text byte count: 1006
number of response items: 431
elapsed: 14.15 seconds

expected output:
[[8, 8, 8, 8, 8, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 8, 8, 8, 8, 8]]

predicted output:
[[8, 8, 8, 8, 8, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 8], [8, 8, 8, 8, 8, 8]]

status: correct
