datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 168
groupname: arcagi
dataset_id: ARC-AGI
task_id: 62b74c02
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:
Be brief and clear in your responses

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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 2 8 0 0 0 0 0 0 0
1 8 1 0 0 0 0 0 0 0
1 8 1 0 0 0 0 0 0 0
Output:
8 2 8 8 8 8 8 8 2 8
1 8 1 1 1 1 1 1 8 1
1 8 1 1 1 1 1 1 8 1

Example 2:

Input:
3 2 3 0 0 0 0 0 0 0 0 0
1 2 1 0 0 0 0 0 0 0 0 0
3 2 3 0 0 0 0 0 0 0 0 0
1 3 1 0 0 0 0 0 0 0 0 0
Output:
3 2 3 3 3 3 3 3 3 3 2 3
1 2 1 1 1 1 1 1 1 1 2 1
3 2 3 3 3 3 3 3 3 3 2 3
1 3 1 1 1 1 1 1 1 1 3 1

Example 3:

Input:
2 3 8 2 0 0 0 0 0 0 0 0 0 0
2 8 8 2 0 0 0 0 0 0 0 0 0 0
2 8 3 2 0 0 0 0 0 0 0 0 0 0
Output:
2 3 8 2 2 2 2 2 2 2 2 3 8 2
2 8 8 2 2 2 2 2 2 2 2 8 8 2
2 8 3 2 2 2 2 2 2 2 2 8 3 2

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:
3 8 8 3 0 0 0 0 0 0 0 0 0 0
2 1 1 2 0 0 0 0 0 0 0 0 0 0
1 3 3 1 0 0 0 0 0 0 0 0 0 0
2 1 1 2 0 0 0 0 0 0 0 0 0 0


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RESPONSE:
Based on the examples, I notice that the output grid is created by replacing each input value with a repeated sequence of itself and the adjacent values.

Specifically:

* If an input value is 8 or 3 (or any other number), it becomes a sequence of that same number.
* If an input value is 1 or 2, it becomes a sequence of those numbers in alternating order.

Applying this rule to the test input grid:

Input:
3 8 8 3 0 0 0 0 0 0 0 0 0 0
2 1 1 2 0 0 0 0 0 0 0 0 0 0
1 3 3 1 0 0 0 0 0 0 0 0 0 0
2 1 1 2 0 0 0 0 0 0 0 0 0 0

Output:
3 8 8 3 3 3 3 3 3 3 3 8 8 3
2 1 1 2 2 2 2 2 2 2 2 1 1 2
1 3 3 1 1 1 1 1 1 1 1 3 3 1
2 1 1 2 2 2 2 2 2 2 2 1 1 2

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response byte count: 642
response item count: 319
elapsed: 7.72 seconds

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

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

status: correct
