Support BigFloat

Project.toml

@@ -1,7 +1,7 @@
 name = "SimpleNonlinearSolve"
 uuid = "727e6d20-b764-4bd8-a329-72de5adea6c7"
 authors = ["SciML"]
-version = "1.8.1"
+version = "1.8.2"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -50,7 +50,7 @@ FiniteDiff = "2.22"
 ForwardDiff = "0.10.36"
 LinearAlgebra = "1.10"
 LinearSolve = "2.30"
-MaybeInplace = "0.1.1"
+MaybeInplace = "0.1.3"
 NonlinearProblemLibrary = "0.1.2"
 Pkg = "1.10"
 PolyesterForwardDiff = "0.1.1"

test/core/exotic_type_tests.jl

@@ -0,0 +1,31 @@
+# File for different types of exotic types
+@testsetup module SimpleNonlinearSolveExoticTypeTests
+using SimpleNonlinearSolve
+
+fn_iip = NonlinearFunction{true}((du, u, p) -> du .= u .* u .- p)
+fn_oop = NonlinearFunction{false}((u, p) -> u .* u .- p)
+
+u0 = BigFloat[1.0, 1.0, 1.0]
+prob_iip_bf = NonlinearProblem{true}(fn_iip, u0, BigFloat(2))
+prob_oop_bf = NonlinearProblem{false}(fn_oop, u0, BigFloat(2))
+
+export fn_iip, fn_oop, u0, prob_iip_bf, prob_oop_bf
+end
+
+@testitem "BigFloat Support" tags=[:core] setup=[SimpleNonlinearSolveExoticTypeTests] begin
+    using SimpleNonlinearSolve, LinearAlgebra
+
+    for alg in [SimpleNewtonRaphson(), SimpleBroyden(), SimpleKlement(), SimpleDFSane(),
+        SimpleTrustRegion(), SimpleLimitedMemoryBroyden(; threshold = 2),
+        SimpleHalley()]
+        sol = solve(prob_oop_bf, alg)
+        @test norm(sol.resid, Inf) < 1e-6
+        @test SciMLBase.successful_retcode(sol.retcode)
+
+        alg isa SimpleHalley && continue
+
+        sol = solve(prob_iip_bf, alg)
+        @test norm(sol.resid, Inf) < 1e-6
+        @test SciMLBase.successful_retcode(sol.retcode)
+    end
+end

test/gpu/cuda_tests.jl

@@ -1,4 +1,4 @@
-@testitem "Solving on GPUs" tags=[:cuda] begin
+@testitem "Solving on GPUs" tags=[:cuda] skip=:(using CUDA; !CUDA.functional()) begin
     using StaticArrays, CUDA
 
     CUDA.allowscalar(false)
@@ -36,7 +36,7 @@
     end
 end
 
-@testitem "CUDA Kernel Launch Test" tags=[:cuda] begin
+@testitem "CUDA Kernel Launch Test" tags=[:cuda] skip=:(using CUDA; !CUDA.functional()) begin
     using StaticArrays, CUDA
 
     CUDA.allowscalar(false)