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11 changes: 11 additions & 0 deletions src/dual.jl
Original file line number Diff line number Diff line change
Expand Up @@ -775,6 +775,17 @@ function LinearAlgebra.eigen(A::SymTridiagonal{<:Dual{Tg,T,N}}) where {Tg,T<:Rea
Eigen(λ,Dual{Tg}.(Q, tuple.(parts...)))
end

# StepRange - default to operate with LinRange to avoid TwicePrecision #
#----------------------------------------------------------------------#

Base.:*(x::Dual, r::StepRangeLen{<:Real,<:Base.TwicePrecision}) =
LinRange(x * first(r), x * last(r), length(r))

Base.:/(r::StepRangeLen{<:Real,<:Base.TwicePrecision}, x::Dual) =
LinRange(first(r) / x, last(r) / x, length(r))

Base.:(:)(start::T, step::Dual, stop::T) where {T<:Real} = range(start, step, stop)

# Functions in SpecialFunctions which return tuples #
# Their derivatives are not defined in DiffRules #
#---------------------------------------------------#
Expand Down
9 changes: 9 additions & 0 deletions test/DualTest.jl
Original file line number Diff line number Diff line change
Expand Up @@ -659,4 +659,13 @@ end
@test ForwardDiff.derivative(float, 1)::Float64 === 1.0
end

@testset "steprange" begin # issue #380
@test Dual(1,1) * (0:0.1:1) isa LinRange{Dual{Nothing, Float64, 1}, Int64}
@test (0:0.1:1) / Dual(1,1) isa LinRange{Dual{Nothing, Float64, 1}, Int64}
@test 0:Dual(1,1):2 isa LinRange{Dual{Nothing, Float64, 1}, Int64}
end




end # module