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Make PValue
and TestStat
non-Real
+ add tests with Aqua
#866
base: master
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Conversation
The Documenter failure is known (see e.g. #863 (comment)) and fixed upstream. |
I'm pretty opposed to this both because it's breaking in the abstract (and we're just in the last week or two finally seeing the necessary compat for StatsBase 0.34 propagate far enough to get compatible Makie and AlgebraOfGraphics releases) and because it's breaking in the concrete for me -- I introduced this behavior precisely because I have code that depends on it. |
Can you point me to where exactly you use something that's removed in this PR? As mentioned above, based on the Juliahub search results it seems these types are only used for printing results which is not affected by this PR. All tests still pass. If there's a specific instance where the removed functionality is used, I'd happily fix these downstream issues (before the PR is merged, of course).
#861 reports the issues: Even though it seems as these types support comparisons with other real numbers, this is not the case in practice - you don't even have to come up with other weird real types but just trying to compare them with values of type julia> using StatsBase
julia> StatsBase.TestStat(3.0) == π
ERROR: MethodError: ==(::StatsBase.TestStat, ::Irrational{:π}) is ambiguous.
Candidates:
==(x::Union{StatsBase.PValue, StatsBase.TestStat}, y::Real)
@ StatsBase ~/.julia/packages/StatsBase/iMkPf/src/statmodels.jl:90
==(x::Real, y::AbstractIrrational)
@ Base irrationals.jl:90
Possible fix, define
==(::Union{StatsBase.PValue, StatsBase.TestStat}, ::AbstractIrrational)
Stacktrace:
[1] top-level scope
@ REPL[6]:1
julia> StatsBase.TestStat(complex(1.0))
ERROR: MethodError: StatsBase.TestStat(::ComplexF64) is ambiguous.
Candidates:
(::Type{T})(z::Complex) where T<:Real
@ Base complex.jl:44
StatsBase.TestStat(v)
@ StatsBase ~/.julia/packages/StatsBase/iMkPf/src/statmodels.jl:80
Possible fix, define
StatsBase.TestStat(::Complex)
Stacktrace:
[1] top-level scope
@ REPL[7]:1 I've tried to work with custom
My impression was that this change is not breaking in practice. More importantly though, these types are not exported - so it's actually technically not breaking regarding how much these types are changed. |
Not all code is indexed by JuliaHub or even public.
Except the deleted ones. |
True, but I guess JuliaHub is the best way to judge practical implications of the PR. And based on the publicly available indexed code the PR does not seem to break anything (additionally, technically these changes are not breaking since these types are neither exported nor documented). Generally, if the PR breaks anything it is easy to fix the broken code: Operators and comparisons for
True, I implicitly excluded those as the PR is supposed to remove the functionality they test. So rather: all printing-related tests still pass. |
"Technically non breaking" is not great for something near the root of the dependency tree. Fixing the ambiguities here is straightforward (and certainly no more difficult than "just" replacing a bunch of calls in a different code base).
for op in [:(==), :<, :≤, :(isless), :(isequal)] # isless and < to place nice with NaN
@eval begin
Base.$op(x::Union{TestStat, PValue}, y::T) where {T<:Real} = $op(x.v, y)
Base.$op(y::T, x::Union{TestStat, PValue}) where {T<:Real} = $op(y, x.v)
Base.$op(x1::Union{TestStat, PValue}, x2::Union{TestStat, PValue}) = $op(x1.v, x2.v)
end
end EDIT: okay, that doesn't quite work, but resolving the ambiguities is also a definitely non breaking way to fix this. |
The types are neither exported nor documented, so IMO this PR is clearly non-breaking. I had missed this initially but corrected the OP. I don't think the number of dependencies changes this fact.
Surely, the ambiguities could be fixed in a different way. But IMO the better fix is to get rid of the |
Removing undocumented unexported "clearly" internal type aliases was viewed as breaking: |
To me it seems the main reason for tagging a breaking release in that case (even though it was a non-breaking change) was that it was clear from the publicly available code (e.g., by searching on JuliaHub) that this non-breaking change would break publicly available downstream packages. This is not the case here as the PR does not modify the printing functionality used by downstream packages. |
Is it really so hard to fix the issue reported above? It seems that we should stop using |
It's still not clear to me why we should add even more code to the already lengthy implementation and spend the time and effort to try to do it in a somewhat satisfying way (which can be broken by Base at any time), when this functionality is not documented, not exported, and does not seem to be used in any of the public downstream packages?
That's not sufficient - we have to add e.g. all combinations of julia> using StatsBase
julia> StatsBase.TestStat(3.0) == π
ERROR: MethodError: ==(::StatsBase.TestStat, ::Irrational{:π}) is ambiguous.
Candidates:
==(x::Real, y::AbstractIrrational)
@ Base irrationals.jl:90
==(x::StatsBase.TestStat, y::Real)
@ StatsBase ~/.julia/dev/StatsBase/src/statmodels.jl:91
Possible fix, define
==(::StatsBase.TestStat, ::AbstractIrrational)
Stacktrace:
[1] top-level scope
@ REPL[3]:1 |
OK. Maybe the right solution to implement a anyway, to be clear, the proposal I favor is to spent zero time on this by just leaving it alone until a real issue is reported. :-) Is it really the new recommended approach to check that no ambiguities exist using Aqua.jl? This seems fragile as lots of irrelevant changes in Base can break these tests. |
The point is that in contrast to the current master and alternative proposals this PR ensures that PValue and TestStat won't be affected by changes in Base 🙂 There are a lot of possibilities to fine-tune the Aqua tests and eg to exclude functions from the ambiguity checks (similar settings are about to be added also for the piracy checks), disable some tests completely (or for some modules or mark them as broken). So it should be easy to fix tests in case something breaks, and generally I assume it should not be more problematic than the existing ambiguity checks. |
I still think this is technically breaking, though I've come around to the idea that PValue should not be a numeric type. We should also document this a little, even if it's just to say "this is a convenience type for display purposes and should be used to store actual p values" -- GLM.jl explicitly imports it, so there are definitely major downstream consumers. |
Very tangential, just thinking out loud: using Printf
using Printf: Format, format
"""
PValueDisplay
Type used for pretty-printing p-values.
PValueDisplay(value; limit, formatless, formatequal)
Construct a `PValueDisplay` for the given p-value `value`. When `show` is called,
the `printf`-style format string `formatless` is used if `value < limit`, otherwise
`formatequal` is used.
"""
struct PValueDisplay{T<:Real}
value::T
limit::T
formatless::String
formatequal::String
function PValueDisplay(p; limit=0.001, formatless="<%.0e", formatequal="%.4f")
0 <= p <= 1 || throw(ArgumentError("expected p-value 0 ≤ p ≤ 1, got $p"))
return new{typeof(p)}(p, limit, formatless, formatequal)
end
end
function Base.show(io::IO, p::PValueDisplay)
if p.value < p.limit
fmt = p.formatless
val = p.limit
else
fmt = p.formatequal
val = p.value
end
return format(io, Format(fmt), val)
end The name makes its intent clearer and doesn't give the impression that number-like operations would be supported. It also provides some ability to customize since in some cases you may want to show different numbers of digits, standard or scientific notation, space after |
I guess such generalizations (and possible renaming) could be useful, but my initial feeling is that such more significant changes should maybe be left for follow-up PRs? |
@devmotion I think that was very much the intent of @ararslan -- proposing a longer-term solution that should not be implemented in this PR but which could inform our strategy for getting this PR merged. |
Yep, exactly. I just had some thoughts that I wanted to write down somewhere and ended up doing it here. 😅 |
So, what's the conclusion here? What's missing or to resolve? |
We could leave |
So you'd like to close the PR? |
Fixes #861 as suggested in #861 (comment) by making
PValue
andTestStat
non-Real. Also adds tests for the issue (and other method ambiguities, unbound type parameters, ...) with Aqua: https://juliatesting.github.io/Aqua.jl/The change is technically breaking butbased on a search on Juliahub (https://juliahub.com/ui/Search?q=PValue&type=code&w=true and https://juliahub.com/ui/Search?q=TestStat&type=code&w=true) the two types are used by other packages only for pretty printing which is not affected by this PR. Generally, I'd argue this change is desirable regardless of whether Aqua flags these method ambiguities or not - creating new numeric types is generally quite brittle, prone to ambiguity issues, and requires implementing many methods.Edit: This change is non-breaking - the types are neither documented nor exported.