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add Aqua test & fix all ambiguities and unbound args #115

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merged 10 commits into from
Mar 1, 2022
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@Roger-luo Roger-luo requested a review from giordano February 24, 2022 18:38
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Roger-luo commented Feb 24, 2022

hmmm... I have to add a bunch of 1.0 specific fixes I'm wondering if it's easier to just drop 1.0 support and start supporting the new LTS 1.6 instead? @giordano

nvm, I fixed it for 1.0

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codecov-commenter commented Feb 24, 2022

Codecov Report

Merging #115 (ecb8880) into master (c79947c) will decrease coverage by 1.81%.
The diff coverage is 36.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #115      +/-   ##
==========================================
- Coverage   96.91%   95.10%   -1.82%     
==========================================
  Files          12       12              
  Lines         714      736      +22     
==========================================
+ Hits          692      700       +8     
- Misses         22       36      +14     
Impacted Files Coverage Δ
src/comparisons-tests.jl 80.00% <0.00%> (-20.00%) ⬇️
src/math.jl 98.42% <14.28%> (-1.58%) ⬇️
src/Measurements.jl 72.72% <25.00%> (-16.17%) ⬇️
src/conversions.jl 100.00% <100.00%> (+10.52%) ⬆️

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Thanks a lot for this! Looks overall good, but I have a minor comment about the Measurement{T}(<:AbstractChar) method.

I'd have been ok with dropping support for v1.5-, but it looks like you've already done the needed changes, so we may as well just keep them and think about dropping support for old versions next time.

Comment on lines 72 to 74
function Measurement{T}(::S) where {T, S<:AbstractChar}
throw(ArgumentError("cannot convert `$S` to `Measurement{$T}`"))
end
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I'm surprised this is needed at all. Or anyway AbstractChar looks oddly specific, why that type and not anything else? Perhaps S shouldn't have any constraint (or S<:Any, which is the same) and this would be the generic fallback for non Real types?

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If you comment out this function, then you will see the following

1 ambiguities found
Ambiguity #1
Measurements.Measurement{T}(x::S) where {T, S} in Measurements at /home/roger/code/julia/Measurements/src/Measurements.jl:63
(::Type{T})(x::AbstractChar) where T<:Union{AbstractChar, Number} in Base at char.jl:50

Possible fix, define
  Measurements.Measurement{T}(::S) where {T, S<:AbstractChar}

I think this is due to the fact you can convert a Char to a Number defined in Base. And because Base uses AbstractChar so we have to use AbstractChar, why S <: Any is the same?

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actually, should it work for converting things to Measurement? since the following works

Float64('a')

it is probably strange that meanwhile

Measurement{Float64}('a')

doesn't work. I'm not sure this is useful anyway tho, so either is fine

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Oh, yes, I'm looking forward to character arithmetic with uncertainties: 'z' ± 'a'! 😁

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OK I just made Measurement{Float64}('a') work, and let the general non Real case error

@Roger-luo Roger-luo requested a review from giordano February 25, 2022 07:45
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Only missing thing is to add some tests for the new methods, code coverage decreased 🙂

Comment on lines +72 to +74
function Measurement{T}(::S) where {T, S}
throw(ArgumentError("cannot convert `$S` to `Measurement{$T}`"))
end
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I think this method isn't tested?

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Roger-luo commented Mar 1, 2022

hmm looks like JuliaLang/julia#25085 is breaking the ambiguities here on nightly

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maybe we can fix the ambiguity of nightly later? I'd like to wait for JuliaTesting/Aqua.jl#71 to get merged before working on this. The tests should cover those methods now I believe, but not sure why some of them are not on codecov

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giordano commented Mar 1, 2022

I'm not incredibly happy about merging a PR with failing tests, especially since they've been added just in this PR 🙃 But I take you're going to fix them soon™️, so let's go

@giordano giordano merged commit d2edc82 into master Mar 1, 2022
@giordano giordano deleted the roger/aqua branch March 1, 2022 20:28
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Well @giordano technically the changes in nightly Julia happens after I created the PR 🤷‍♂️. I assume in the future with Aqua test it will at least make the package eval fail for new Julia PRs then people could fix these new ambiguities caused by upstream easier.

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3 participants