datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 639
groupname: arcagi
dataset_id: ARC-AGI
task_id: 7b7f7511
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

---

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

Example 1:

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

Example 2:

Input:
4 4 4 4 4 4
6 4 8 6 4 8
6 6 8 6 6 8
Output:
4 4 4
6 4 8
6 6 8

Example 3:

Input:
2 3
3 2
4 4
2 3
3 2
4 4
Output:
2 3
3 2
4 4

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:
5 4 5
4 5 4
6 6 4
2 6 2
5 4 5
4 5 4
6 6 4
2 6 2


---

RESPONSE:
The common rule is to remove the last row of each group of consecutive rows with the same first element.

Applying this rule to the test input grid:

Output:
5 4 5
4 5 4
6 6 4
2 6 2

---


response byte count: 181
response item count: 57
elapsed: 1.71 seconds

expected output:
[[5, 4, 5], [4, 5, 4], [6, 6, 4], [2, 6, 2]]

predicted output:
[[5, 4, 5], [4, 5, 4], [6, 6, 4], [2, 6, 2]]

status: correct
