Seelengrab
commented
3 months ago There's definitely some erroring paths in log. I wasn't able to produce the errors from your investigation with JET, but I was able to produce this one:
julia> using LinearAlgebra
julia> [NaN 0.0; 0.0 0.0] |> UpperTriangular
2×2 UpperTriangular{Float64, Matrix{Float64}}:
NaN 0.0
⋅ 0.0
julia> [NaN 0.0; 0.0 0.0] |> UpperTriangular |> log
ERROR: InexactError: Float64(NaN + NaN*im)
Stacktrace:
[1] Real
@ ./complex.jl:44 [inlined]
[2] convert
@ ./number.jl:7 [inlined]
[3] setindex!
@ ./array.jl:979 [inlined]
[4] setindex!
@ ~/julia/usr/share/julia/stdlib/v1.12/LinearAlgebra/src/triangular.jl:286 [inlined]
[5] _pow_superdiag_quasitriu!(A::UpperTriangular{Float64, Matrix{…}}, A0::UpperTriangular{Float64, Matrix{…}}, p::Float64)
@ LinearAlgebra ~/julia/usr/share/julia/stdlib/v1.12/LinearAlgebra/src/triangular.jl:2088
[6] _log_quasitriu!(A0::UpperTriangular{Float64, Matrix{Float64}}, A::UpperTriangular{Float64, Matrix{Float64}})
@ LinearAlgebra ~/julia/usr/share/julia/stdlib/v1.12/LinearAlgebra/src/triangular.jl:1816
[7] log_quasitriu(A0::UpperTriangular{Float64, Matrix{Float64}})
@ LinearAlgebra ~/julia/usr/share/julia/stdlib/v1.12/LinearAlgebra/src/triangular.jl:1798
[8] log
@ ~/julia/usr/share/julia/stdlib/v1.12/LinearAlgebra/src/triangular.jl:1779 [inlined]
[9] |>(x::UpperTriangular{Float64, Matrix{Float64}}, f::typeof(log))
@ Base ./operators.jl:967
[10] top-level scope
@ REPL[38]:1
Some type information was truncated. Use `show(err)` to see complete types.Being unfamiliar with the math involved here and the docs not mentioning anything about NaN in the input matrix, I have no idea whether that is intended though :/ At the very least, it's a hard-to-diagnose/reconcile error.
Here's the fuzzing setup that found this:
julia> using Supposition, LinearAlgebra
julia> square_mats = Data.SquareMatrices(Data.Floats{Float64}(); max_size=20) # upcoming Possibility in the next release
Supposition.Data.SquareMatrices(Supposition.Data.Vectors(Supposition.Data.Floats{Float64}(; nans=true, infs=true); min_size=0, max_size=400); min_size=0, max_size=20)
julia> mats = map(UpperTriangular, square_mats);
julia> @check db=false (m=mats) -> log(m) isa UpperTriangular
Encountered an error
Context: ##SuppositionAnon#646
Arguments:
m::UpperTriangular{Float64, Matrix{Float64}} = [NaN 0.0; 0.0 0.0]
Exception:
Message:
InexactError: Float64(NaN + NaN*im)If I catch that InexactError, the test passes even when I crank it up to 1_000_000 examples. The same goes for disabling NaN in the generation of data.
aravindh-krishnamoorthy
Should the comparison be using the real part of the complex number? Perhaps someone familiar with this part of the code could comment on this.
Also,
atanisn't defined for this combination, and I wonder if this should be called for the real part again?Unfortunately, I haven't been able to come up with examples of matrices that hit these code paths, but it would be good to fix these.