Comments (4)
julia> for T in subtypes(AbstractFloat)
@assert isnan(zero(T)/0)
end
I think so. Because it first promote 0
to the float 0.0 of type T
from nanmath.jl.
Seems safe enough. Be careful about division by zero when count = 0.
from nanmath.jl.
that's how we recover the NaN
if all elements are NaN
actually.
from nanmath.jl.
Is it guaranteed that any AbstractFloat
defines 0.0/0 = NaN?
from nanmath.jl.
Related Issues (20)
- @vectorize_1arg HOT 1
- Functions not compatible with all Base-compatible types HOT 11
- Functions for arbitrary-dimension arrays HOT 5
- WARNING: both NaNMath and Base export "log"; uses of it in module Main must be qualified HOT 3
- no methods implemented for integer arrays HOT 2
- Missing values support HOT 10
- proposal: findNaNmax HOT 2
- Build error HOT 2
- support dims HOT 5
- Support median function
- TagBot trigger issue HOT 9
- StackOverflowError for pow(::Float32, ::Float64) HOT 2
- Glib_jll downgrade HOT 2
- Array of Numbers + Mean of Absolute Values
- Incorrectly tagged breaking change HOT 4
- StatsBase.mean ~= NaNMath.mean HOT 2
- Performance compared to other implementations & supported types HOT 4
- pow errors out for vector call HOT 3
- sqrt is missing
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from nanmath.jl.