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filter() usage has always been less common than map() usage, and we see a similar pattern in comprehension usage as well (i.e. [f(x) for x in y] is a far more common construct than [x for x in p(y)]). That "less common" status doesn't keep us from providing filter() as builtin, or syntactic support for filtering in the comprehension syntax.
As a result, the main question I'd like to see a clear and authoritative answer to is "Given 'seq2 = filter(p, seq)' or 'seq2 = [x for seq if p(x)]', what's the concurrent.futures based parallel execution syntax in cases where the filtering key is expensive to calculate?"
I'd be quite OK with Brian's 2-line implementation going into the concurrent.futures documentation as a filtering recipe, similar to the way Raymond uses the recipes in the itertools documentation to help minimise complexity growth in the core API.
I *don't* mind if Brian's judgement is that it doesn't rise to the level of being worth including as a core feature in its own right, as I agree that the typical case of filtering functions is that they're fast, and when they're not, it's often a sign that data model denormalisation may be desirable in order to cache the relevant derived property.