Is there a more optimal approach to check if the elements in a list dtype column are in another input list?

import polars as pl

df = pl.DataFrame(
    {"sets": [[1, 2, 3], [1, 2], [9, 10]]}
)

df.with_columns(
    (
        pl.col("sets").list.set_intersection([1,7]).list.len() != 0
    ).alias("check")
)

shape: (3, 2)
┌───────────┬───────┐
│ sets      ┆ check │
│ ---       ┆ ---   │
│ list[i64] ┆ bool  │
╞═══════════╪═══════╡
│ [1, 2, 3] ┆ true  │
│ [1, 2]    ┆ true  │
│ [9, 10]   ┆ false │
└───────────┴───────┘