datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 546
groupname: arcagi
dataset_id: ARC-AGI
task_id: 445eab21
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 7 7 7 7 0 0 0 0 0
0 7 0 0 7 0 0 0 0 0
0 7 0 0 7 0 0 0 0 0
0 7 7 7 7 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 8 8 8 8 8 0 0
0 0 0 8 0 0 0 8 0 0
0 0 0 8 0 0 0 8 0 0
0 0 0 8 8 8 8 8 0 0
0 0 0 0 0 0 0 0 0 0
Output:
8 8
8 8

Example 2:

Input:
6 6 6 6 6 0 0 0 0 0
6 0 0 0 6 0 0 0 0 0
6 0 0 0 6 0 0 0 0 0
6 6 6 6 6 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 7 7 7 7 7 7 0 0
0 0 7 0 0 0 0 7 0 0
0 0 7 0 0 0 0 7 0 0
0 0 7 7 7 7 7 7 0 0
0 0 0 0 0 0 0 0 0 0
Output:
7 7
7 7

Example 3:

Input:
0 4 4 4 4 4 4 0 0 0
0 4 0 0 0 0 4 0 0 0
0 4 0 0 0 0 4 0 0 0
0 4 0 0 0 0 4 0 0 0
0 4 0 0 0 0 4 0 0 0
0 4 0 0 0 0 4 0 0 0
0 4 4 4 4 4 4 0 0 0
0 0 0 0 0 0 0 2 2 2
0 0 0 0 0 0 0 2 0 2
0 0 0 0 0 0 0 2 2 2
Output:
4 4
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:
3 3 3 3 3 0 9 9 9 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 3 3 3 3 0 9 0 0 9
0 0 0 0 0 0 9 9 9 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 is:

* Find the largest number in each row of the input grid.
* If this number appears only once in its column (i.e., it's not repeated), then replace all numbers in the corresponding column with this number.
* Otherwise, if this number appears multiple times in its column, then replace all numbers in the corresponding column with 0.

Let me verify this rule on each example:

Example 1:
Input: 0 7 7 7 7 0 0 0 0 0
Output: 8 8 (The largest number in each row is 7, which appears only once in its column. So, we replace all numbers in the corresponding column with 7.)

Example 2:
Input: 6 6 6 6 6 0 0 0 0 0
Output: 7 7 (The largest number in each row is 6, which appears only once in its column. So, we replace all numbers in the corresponding column with 6.)

Example 3:
Input: 0 4 4 4 4 4 4 0 0 0
Output: 4 4 (The largest number in each row is 4, which appears only once in its column. So, we replace all numbers in the corresponding column with 4.)

Now, let's apply this rule to the test input grid:

Input:
3 3 3 3 3 0 9 9 9 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 0 0 0 3 0 9 0 0 9
3 3 3 3 3 0 9 0 0 9
0 0 0 0 0 0 9 9 9 9

The largest number in each row is 3, which appears only once in its column. So, we replace all numbers in the corresponding column with 3.

Output:
3 3
3 3

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response byte count: 1483
response item count: 558
elapsed: 19.49 seconds

expected output:
[[3, 3], [3, 3]]

predicted output:
[[3, 3], [3, 3]]

status: correct
