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use oneunit(T) in construct_seeds #652

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use oneunit(T) in construct_seeds #652

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4b291aa
Update partials.jl
longemen3000 Jun 7, 2023
ba51c37
add Measurements test
longemen3000 Aug 4, 2023
b7bb898
use explicit measurement constructor
longemen3000 Aug 4, 2023
39193dc
typo
longemen3000 Aug 4, 2023
94db0b5
another typo
longemen3000 Aug 7, 2023
59c9cd1
Merge branch 'master' of https://github.com/JuliaDiff/ForwardDiff.jl …
longemen3000 Aug 7, 2023
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3 changes: 2 additions & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -38,9 +38,10 @@ julia = "1.6"
Calculus = "49dc2e85-a5d0-5ad3-a950-438e2897f1b9"
DiffTests = "de460e47-3fe3-5279-bb4a-814414816d5d"
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
Measurements = "eff96d63-e80a-5855-80a2-b1b0885c5ab7"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Calculus", "DiffTests", "SparseArrays", "StaticArrays", "Test", "InteractiveUtils"]
test = ["Calculus", "DiffTests", "SparseArrays", "StaticArrays", "Test", "InteractiveUtils", "Measurements"]
2 changes: 1 addition & 1 deletion src/partials.jl
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Expand Up @@ -7,7 +7,7 @@ end
##############################

@generated function single_seed(::Type{Partials{N,V}}, ::Val{i}) where {N,V,i}
ex = Expr(:tuple, [ifelse(i === j, :(one(V)), :(zero(V))) for j in 1:N]...)
ex = Expr(:tuple, [ifelse(i === j, :(oneunit(V)), :(zero(V))) for j in 1:N]...)
return :(Partials($(ex)))
end

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6 changes: 6 additions & 0 deletions test/MiscTest.jl
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Expand Up @@ -6,6 +6,7 @@ using Test
using ForwardDiff
using DiffTests
using SparseArrays: sparse
using Measurements: Measurements

include(joinpath(dirname(@__FILE__), "utils.jl"))

Expand Down Expand Up @@ -161,4 +162,9 @@ end
# example from https://github.com/JuliaDiff/DiffRules.jl/pull/98#issuecomment-1574420052
@test only(ForwardDiff.hessian(t -> abs(t[1])^2, [0.0])) == 2

#issue 651, using Measurements
#one(x::Measurement{T}) where T = one(T) != oneunit(x)
f651(x) = 2.1*x + 1
@test ForwardDiff.derivative(f651,Measurements.measurement(1.0, 0.001)) == 2.1

end # module
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