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Set strict=false for DI in HomotopyContinuation #626

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May 26, 2025
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10 changes: 5 additions & 5 deletions 10 lib/NonlinearSolveHomotopyContinuation/src/jacobian_handling.jl
Original file line number Diff line number Diff line change
Expand Up @@ -118,9 +118,9 @@ function construct_jacobian(f, autodiff, variant, u0, p)
end
f = ComplexJacobianWrapper{variant}(f)
if variant == OutOfPlace
prep = DI.prepare_jacobian(f, autodiff, tmp, DI.Constant(p))
prep = DI.prepare_jacobian(f, autodiff, tmp, DI.Constant(p), strict = Val(false))
else
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p))
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))
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[JuliaFormatter] reported by reviewdog 🐶

Suggested change
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))
prep = DI.prepare_jacobian(
f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))

end

if variant == Scalar
Expand Down Expand Up @@ -182,13 +182,13 @@ Construct an `EnzymeJacobian` function.
"""
function construct_jacobian(f, autodiff::AutoEnzyme, variant, u0, p)
if variant == Scalar
prep = DI.prepare_derivative(f, autodiff, u0, DI.Constant(p))
prep = DI.prepare_derivative(f, autodiff, u0, DI.Constant(p), strict = Val(false))
else
tmp = Vector{ComplexF64}(undef, length(u0))
if variant == Inplace
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p))
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))
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[JuliaFormatter] reported by reviewdog 🐶

Suggested change
prep = DI.prepare_jacobian(f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))
prep = DI.prepare_jacobian(
f, tmp, autodiff, copy(tmp), DI.Constant(p), strict = Val(false))

else
prep = DI.prepare_jacobian(f, autodiff, tmp, DI.Constant(p))
prep = DI.prepare_jacobian(f, autodiff, tmp, DI.Constant(p), strict = Val(false))
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[JuliaFormatter] reported by reviewdog 🐶

Suggested change
prep = DI.prepare_jacobian(f, autodiff, tmp, DI.Constant(p), strict = Val(false))
prep = DI.prepare_jacobian(
f, autodiff, tmp, DI.Constant(p), strict = Val(false))

end
end
return EnzymeJacobian{variant}(f, prep, autodiff)
Expand Down
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