datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl
datasource row: 200
groupname: arcagi
dataset_id: ARC-AGI
task_id: 770cc55f
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

---

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

Example 1:

Input:
0 3 3 3
0 0 0 0
0 0 0 0
0 0 0 0
2 2 2 2
0 0 0 0
0 0 0 0
0 0 0 0
3 3 0 0
Output:
0 3 3 3
0 4 0 0
0 4 0 0
0 4 0 0
2 2 2 2
0 0 0 0
0 0 0 0
0 0 0 0
3 3 0 0

Example 2:

Input:
0 6 6 6 6
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 6 6 6
Output:
0 6 6 6 6
0 0 4 4 4
0 0 4 4 4
0 0 4 4 4
0 0 4 4 4
0 0 4 4 4
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 6 6 6

Example 3:

Input:
0 1 1 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 1 1 1 0
Output:
0 1 1 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2 2 2 2 2
0 4 4 0 0
0 4 4 0 0
0 4 4 0 0
0 4 4 0 0
0 4 4 0 0
1 1 1 1 0

Example 4:

Input:
0 0 0 3 3 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
2 2 2 2 2 2
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 3 3 3 3 3
Output:
0 0 0 3 3 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 0
2 2 2 2 2 2
0 0 0 4 4 0
0 0 0 4 4 0
0 0 0 4 4 0
0 0 0 4 4 0
0 0 0 4 4 0
0 3 3 3 3 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:
7 7 7 7 7
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 7 7 0 0


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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:

* For each row in the input grid:
	+ If the first element of the row is non-zero (i.e., not 0), then the corresponding row in the output grid will have the same elements as the input row.
	+ If the first element of the row is zero, then the corresponding row in the output grid will be filled with a certain number of "4"s or "0"s, depending on the context.

More specifically:

* When the first non-zero element appears at the beginning of a row (Examples 1-3), the corresponding row in the output grid will have the same elements as the input row.
* When the first non-zero element appears after some zeros (Examples 2 and 4), the corresponding row in the output grid will be filled with "4"s, starting from the position of the first non-zero element.

Applying this rule to the test input grid:

Input:
7 7 7 7 7
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 7 7 0 0

The output grid should be:

Output:
7 7 7 7 7
0 4 4 0 0
0 4 4 0 0
0 4 4 0 0
0 4 4 0 0
2 2 2 2 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 7 7 0 0

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response byte count: 1180
response item count: 439
elapsed: 13.63 seconds

expected output:
[[7, 7, 7, 7, 7], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [2, 2, 2, 2, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 7, 7, 0, 0]]

predicted output:
[[7, 7, 7, 7, 7], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [0, 4, 4, 0, 0], [2, 2, 2, 2, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 7, 7, 0, 0]]

status: correct
