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Add support for f ∘ g #317

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merged 3 commits into from Jan 4, 2022
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pdeffebach
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This PR does not transform f(g(:x)) to (f ∘ g)(:x).

Rather, it ensures that the expression

:y = (f ∘ g)(:a, :b)

gets turned into

[:a, :b] => (f ∘ g ) => :y

which is a good first step for transforming f(g(x)).

I'm leaving this undocumented for now, since it's a behind-the-scenes transformation.

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pdeffebach commented Jan 2, 2022

@bkamins can I get an review? I have code ready based on this which will do the more substantive change of transforming f(g(:x, :y)) into (f ∘ g)(:x, :y).

@@ -187,4 +189,38 @@ using DataFramesMeta
end
end
end

@testset "composed compilation" begin
@eval begin
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same here - I do not understand the benefit of @eval?

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As mentioned above, @eval is necessary because we need to evaluate in global scope to prevent caching the anonymous function in the method table.


for _ in 1:2
@eval begin
@test @select(df, :y = (f ∘ g)(:a, :b)).y == [3]
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Do you think testing timing is enough? Maybe also generated code should be tested?

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We don't check generated code anywhere else. I think this should be enough.

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Nevermind it's easy to add. Added. Will merge after tests.

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Apart from the comments left I think it looks good. The code assumes that is not redefined by the user, but I think it is a valid assumption (though maybe it should be noted somewhere).

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No that's a good catch. Overall I'm not very good with macro hygiene in this package and should fix it.

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bkamins commented Jan 3, 2022

I am not sure who is good at macro hygene 😄 (e.g. I do not write macros often and in consequence it is really hard for me to do it properly when I do).

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Macro hygiene doesn't matter here, actually. Since the expression f ∘ g is just "moved" not changed in any way. And it is assumed to be callable both before and after the transformation.

@pdeffebach pdeffebach merged commit 3ecdb78 into JuliaData:master Jan 4, 2022
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2 participants