Combined Device Feature Flags

PandasMediumMid level~10 min

Problem

You are given a DataFrame `device_flags` loaded from `device_flags.csv` with columns `device_id` (int) and `flag_mask` (int). Each row holds an integer whose bits represent the feature flags enabled on one device. Return a one-row DataFrame with two columns: `shared_flags` = the bitwise AND across every device's `flag_mask` (the flags ALL devices share), and `union_flags` = the bitwise OR across every device's `flag_mask` (the flags enabled on AT LEAST one device).

Input data

Example rows — the live problem includes the full dataset.

device_flags

device_id	flag_mask
1	5
2	12
3	7
4	3

Expected output

Your answer should return 1 row with the columns shared_flags, union_flags.

Starter code (Pandas (Python))

import pandas as pd

def combine_flags(device_flags) -> pd.DataFrame:
    # Your code here
    return device_flags

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