Would this package be useful in DataFramesMeta?

I just finished a big PR in DataFramesMeta to try and reduce latency.

Given an expression of the form

f(:x, :y)

we make an anonymous function

(x, y) -> f(x, y)

This carries a compilation cost of creating the anonymous function. So my PR made an optimization where if it saw f(:x, :y) it would just return f, since it's the same as the anonymous function above.

But more other expressions are still problematic. Consider

:x + 1

This will always have to turn into

x -> x + 1

for purposes of the src => fun => dest syntax in DataFrames.

It looks like this package will let me cash :(x -> x + 1) so that the anonymous function of that form is only compiled once, and later calls are taken from a lookup. Is that correct?

If so, DataFramesMeta seems like a good application of this package.

Read the linked DataFramesMeta PR 221 and compare its generated-function optimization with RuntimeGeneratedFunctions' handling of expressions such as :(x -> x + 1). Verify whether repeated expressions reuse a compiled lookup; done is a documented answer about applicability or a follow-up integration decision.