datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 763
groupname: arcagi
dataset_id: ARC-AGI
task_id: c8f0f002
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 concise

---

PROMPT:
Find the common rule that maps an input grid to an output grid, given the examples below.

Example 1:

Input:
1 8 8 7 7 8
1 1 7 7 1 8
7 1 1 7 7 8
Output:
1 8 8 5 5 8
1 1 5 5 1 8
5 1 1 5 5 8

Example 2:

Input:
7 7 7 1
1 8 1 7
7 1 1 7
Output:
5 5 5 1
1 8 1 5
5 1 1 5

Example 3:

Input:
1 8 1 7 1
7 8 8 1 1
7 1 8 8 7
Output:
1 8 1 5 1
5 8 8 1 1
5 1 8 8 5

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:
1 7 7 1 7
8 1 7 7 7
8 7 1 7 8


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RESPONSE:
Based on the examples, it appears that the common rule is to replace each "7" with a "5".

Applying this rule to the test input grid:

Input:
1 7 7 1 7
8 1 7 7 7
8 7 1 7 8

Output:
1 5 5 1 5
8 1 5 5 5
8 5 1 5 8

---


response byte count: 210
response item count: 97
elapsed: 3.26 seconds

expected output:
[[1, 5, 5, 1, 5], [8, 1, 5, 5, 5], [8, 5, 1, 5, 8]]

predicted output:
[[1, 5, 5, 1, 5], [8, 1, 5, 5, 5], [8, 5, 1, 5, 8]]

status: correct
