[Python] Filter with expression expansion

Is it possible to convert the following filter, which uses two conditions, to something that uses expression expansion or a custom function in order to apply the DRY priciple (avoid the repetition)?
Here is the example:

import polars as pl

df = pl.DataFrame(
{
"a": [1, 2, 3, 4, 5],
"val1": [1, None, 0, 0, None],
"val2": [1, None, None, 0, 1],
}
)

df.filter((~pl.col("val1").is_in([None, 0])) | (~pl.col("val2").is_in([None, 0])))


Results in:

┌─────┬──────┬──────┐
│ a ┆ val1 ┆ val2 │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ i64 │
╞═════╪══════╪══════╡
│ 1 ┆ 1 ┆ 1 │
│ 5 ┆ null ┆ 1 │
└─────┴──────┴──────┘

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