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Overload Compat.eachrow and Compat.eachcol #2067

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merged 5 commits into from
Dec 27, 2019

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tkf
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@tkf tkf commented Dec 26, 2019

As eachrow and eachcol are in Compat.jl JuliaLang/Compat.jl#658, I think it makes sense to overload the functions in Compat.jl rather than creating new functions. What do you think?

I also added a test to make sure that similar overlooks do not happen in the future.

@@ -34,7 +34,7 @@ test = ["DataStructures", "DataValues", "Dates", "Logging", "Random", "Test"]
[compat]
julia = "1"
CategoricalArrays = "0.7"
Compat = "2, 3"
Compat = "2.2, 3"
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test/runtests.jl Outdated Show resolved Hide resolved
if VERSION >= v"1.1.0-DEV.792"
import Base.eachcol, Base.eachrow
else
if VERSION < v"1.1.0-DEV.792"
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Two questions as I do not know Compat.jl well enough:

  • do we have to export something we import via Compat.? (probably yes, but I just wanted to make sure)
  • shoud import Compat. be used even on current versions of Julia or it should be in the if block here.

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  • do we have to export something we import via Compat.?

My understanding is that Compat is "just" a Julia package. So, if you want eachrow to work without explicitly importing Compat, I think you need to re-export eachrow from DataFrames.jl.

  • shoud import Compat. be used even on current versions of Julia or it should be in the if block here.

I don't think it matters since Base.eachrow === Compat.eachrow for julia >= 1.1 and julia does not care how eachrow is imported. But my guess is that it is rather an implementation detail of julia so

if VERSION < v"1.1.0-DEV.792"
    import Base: eachcol, eachrow
else
    import Compat: eachcol, eachrow
end

makes sense if you want to play on the very safe side.

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I pushed the change I just suggested 9f1d862. Let me know if you want to revert it.

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bkamins commented Dec 26, 2019

Thank you for the PR. I have left two questions to learn for the future as I do not know Compat.jl well enough.

test/compat.jl Outdated Show resolved Hide resolved
@nalimilan nalimilan merged commit baf2740 into JuliaData:master Dec 27, 2019
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Thanks!

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3 participants