Genres Commonly Heard by the Same Listeners

Problem

You are given two DataFrames. `plays` has columns `listener_id`, `track_id`, and `play_count`; each row records that a listener played a track some number of times, and the same (listener, track) can appear more than once. `tracks` has columns `track_id`, `genre`, and `length_sec`, one row per track.

Find every pair of genres for which at least three distinct listeners played a track from **both** genres. Treat each pair once, listing the alphabetically smaller genre first.

Return a DataFrame with columns `genre1`, `genre2`, and `listener_count`, ordered by `listener_count` descending, then `genre1` ascending, then `genre2` ascending.

Input data

Example rows — the live problem includes the full dataset.

Expected output

Your answer should return 4 rows with the columns genre1, genre2, listener_count.

Starter code (Pandas (Python))

import pandas as pd

def genres_commonly_heard_by_the_same_listeners(plays, tracks) -> pd.DataFrame:
    # Your code here
    return plays

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