datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 505
groupname: arcagi
dataset_id: ARC-AGI
task_id: 29c11459
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 solve ARC puzzles by carefully examining patterns in each example. Identify the rules, verify them on all examples, then solve the test input

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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:
0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 2
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:
0 0 0 0 0 0 0 0 0 0 0
1 1 1 1 1 5 2 2 2 2 2
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

Example 2:

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
3 0 0 0 0 0 0 0 0 0 7
0 0 0 0 0 0 0 0 0 0 0
Output:
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
3 3 3 3 3 5 7 7 7 7 7
0 0 0 0 0 0 0 0 0 0 0

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
4 0 0 0 0 0 0 0 0 0 8
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
6 0 0 0 0 0 0 0 0 0 9


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RESPONSE:
After examining the examples, I've identified a common rule that maps an input grid to an output grid.

The rule appears to be:

* If a cell in the input grid contains a non-zero value (e.g., 1, 3, 4, or 6), then:
	+ In the output grid, replace all cells with the same row index as the original cell with the same value.
	+ Replace all cells with the same column index as the original cell with the value 5.
* If a cell in the input grid contains zero (0), then leave it unchanged in the output grid.

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

Output:
0 0 0 0 0 0 0 0 0 0 0
4 4 4 4 4 5 8 8 8 8 8
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
6 6 6 6 6 5 9 9 9 9 9

So, the predicted output grid is:

0 0 0 0 0 0 0 0 0 0 0
4 4 4 4 4 5 8 8 8 8 8
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
6 6 6 6 6 5 9 9 9 9 9

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response byte count: 816
response item count: 368
elapsed: 11.62 seconds

expected output:
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4, 4, 4, 4, 4, 5, 8, 8, 8, 8, 8], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6, 6, 6, 6, 6, 5, 9, 9, 9, 9, 9]]

predicted output:
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4, 4, 4, 4, 4, 5, 8, 8, 8, 8, 8], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6, 6, 6, 6, 6, 5, 9, 9, 9, 9, 9]]

status: correct
