datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 604
groupname: arcagi
dataset_id: ARC-AGI
task_id: 68b16354
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

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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:
8 1 2 1 4
4 4 2 4 8
3 7 2 4 8
2 7 7 8 7
8 7 7 4 8
Output:
8 7 7 4 8
2 7 7 8 7
3 7 2 4 8
4 4 2 4 8
8 1 2 1 4

Example 2:

Input:
7 3 3 1 2
1 8 2 4 1
2 7 8 7 2
7 7 4 1 8
8 1 7 7 1
Output:
8 1 7 7 1
7 7 4 1 8
2 7 8 7 2
1 8 2 4 1
7 3 3 1 2

Example 3:

Input:
2 7 4 3 4 8 3
2 3 7 1 2 3 3
8 7 4 3 2 2 4
1 1 2 1 4 4 7
2 4 3 1 1 4 1
4 8 7 4 4 8 2
7 3 8 4 3 2 8
Output:
7 3 8 4 3 2 8
4 8 7 4 4 8 2
2 4 3 1 1 4 1
1 1 2 1 4 4 7
8 7 4 3 2 2 4
2 3 7 1 2 3 3
2 7 4 3 4 8 3

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:
2 8 1 3 2 4 1
4 4 1 1 4 3 4
1 1 1 1 4 7 3
1 1 2 3 8 1 3
4 1 1 1 7 8 4
3 2 8 4 1 8 4
1 4 7 1 2 3 4


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RESPONSE:
After analyzing the examples, I found that the common rule is to rotate the input grid clockwise by one position and then reverse each row.

Here's how it works:

* Rotate the input grid clockwise by one position:
	+ Example 1: Rotate the first row "8 1 2 1 4" to become the last row, and so on.
	+ Example 3: Rotate the first row "2 7 4 3 4 8 3" to become the last row, and so on.
* Reverse each row:
	+ In Example 1, the rotated grid is "8 1 2 1 4", which becomes "8 1 2 1 4" when reversed.
	+ In Example 3, the rotated grid is "2 7 4 3 4 8 3", which becomes "2 7 4 3 4 8 3" when reversed.

Applying this rule to the test input grid:

Input:
2 8 1 3 2 4 1
4 4 1 1 4 3 4
1 1 1 1 4 7 3
1 1 2 3 8 1 3
4 1 1 1 7 8 4
3 2 8 4 1 8 4
1 4 7 1 2 3 4

Rotating the grid clockwise by one position:

Output:
1 4 7 1 2 3 4
3 2 8 4 1 8 4
4 1 1 1 7 8 4
1 1 2 3 8 1 3
1 1 1 1 4 7 3
4 4 1 1 4 3 4
2 8 1 3 2 4 1

Reversing each row:

Output:
1 4 7 1 2 3 4
3 2 8 4 1 8 4
4 1 1 1 7 8 4
1 1 2 3 8 1 3
1 1 1 1 4 7 3
4 4 1 1 4 3 4
2 8 1 3 2 4 1

The final output grid is:

1 4 7 1 2 3 4
3 2 8 4 1 8 4
4 1 1 1 7 8 4
1 1 2 3 8 1 3
1 1 1 1 4 7 3
4 4 1 1 4 3 4
2 8 1 3 2 4 1

---


response byte count: 1148
response item count: 627
elapsed: 17.75 seconds

expected output:
[[1, 4, 7, 1, 2, 3, 4], [3, 2, 8, 4, 1, 8, 4], [4, 1, 1, 1, 7, 8, 4], [1, 1, 2, 3, 8, 1, 3], [1, 1, 1, 1, 4, 7, 3], [4, 4, 1, 1, 4, 3, 4], [2, 8, 1, 3, 2, 4, 1]]

predicted output:
[[1, 4, 7, 1, 2, 3, 4], [3, 2, 8, 4, 1, 8, 4], [4, 1, 1, 1, 7, 8, 4], [1, 1, 2, 3, 8, 1, 3], [1, 1, 1, 1, 4, 7, 3], [4, 4, 1, 1, 4, 3, 4], [2, 8, 1, 3, 2, 4, 1]]

status: correct
