Set strict=false for DI in HomotopyContinuation #626
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```julia /home/runner/work/NonlinearSolve.jl/NonlinearSolve.jl/lib/NonlinearSolveHomotopyContinuation/test/single_root.jl:151 Got exception outside of a @test PreparationMismatchError (inconsistent types between preparation and execution): - f!: ✅ - y: ✅ - backend: ✅ - x: ❌ - prep: Vector{Float64} - exec: Base.ReinterpretArray{Float64, 1, ComplexF64, Vector{ComplexF64}, false} - contexts: ✅ If you are confident that this check is superfluous, you can disable it by running preparation with the keyword argument `strict=Val(false)` inside DifferentiationInterface. ``` Reinterpret seems to bug it so it's easiest to just remove it.
| 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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| 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 | ||
| 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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| 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 🐶
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| 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)) |
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Reinterpret seems to bug it so it's easiest to just remove it.