Here equality of `NaN_1` to `NaN` fails ``` using SentinelArrays NaN_1 = reinterpret(Float64, 0xffffd10000000000) NaN_2 = reinterpret(Float64, 0x7ff8000000000000) SentinelArray([NaN_1, 1.1], NaN, missing) # [NaN, 1.1] SentinelArray([NaN_2, 2.2], NaN, missing) # [missing, 2.2] ``` Guessing: here https://github.com/JuliaData/SentinelArrays.jl/blob/v1.4.5/src/SentinelArrays.jl#L184-L185 defines to use `===` as comparison. Docstring for `NaN` says > Always use isnan or isequal for checking for NaN. Using x === NaN may give unexpected results Julia 1.10.5, SentinelArrays v1.4.5
Here equality of
NaN_1toNaNfailsGuessing: here https://github.com/JuliaData/SentinelArrays.jl/blob/v1.4.5/src/SentinelArrays.jl#L184-L185 defines to use
===as comparison. Docstring forNaNsaysJulia 1.10.5, SentinelArrays v1.4.5