datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/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": "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 0 0
0 0 0
0 0 0
Output:
8 8 8
8 0 8
8 8 8

Example 2:

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

Example 3:

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

Example 4:

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

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 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


---

RESPONSE:
The rule is: the output grid has a "peak" shape, where the top and bottom rows are all 8s, and each row in between has one more zero than the previous row. The rightmost column also follows this pattern.

Applying this rule to the test input grid:

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

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

---


response byte count: 432
response item count: 231
elapsed: 7.21 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
