Asset Labels With a Three-Digit Code

Problem

You are given one DataFrame `warehouse_assets` with columns `asset_id` and `asset_label` (a free-text label that may contain a numeric code).

Return every asset whose `asset_label` contains a run of **exactly three** consecutive digits. A run of two digits (like `42`) or four or more digits (like `5500`) does not count — only a group that is precisely three digits long, with a non-digit (or the start/end of the string) on each side. Missing labels never match.

Return columns `asset_id` and `asset_label`, ordered by `asset_id` ascending.

Input data

Example rows — the live problem includes the full dataset.

Expected output

Your answer should return 3 rows with the columns asset_id, asset_label.

Starter code (Pandas (Python))

import pandas as pd

def assets_with_three_digit_code(warehouse_assets) -> pd.DataFrame:
    # Your code here
    return warehouse_assets

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