Remove the static arrays special casing

Project.toml

@@ -18,19 +18,18 @@ MaybeInplace = "bb5d69b7-63fc-4a16-80bd-7e42200c7bdb"
 PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
+Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
 StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
 
 [weakdeps]
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
-StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [extensions]
 SimpleNonlinearSolveChainRulesCoreExt = "ChainRulesCore"
 SimpleNonlinearSolveReverseDiffExt = "ReverseDiff"
-SimpleNonlinearSolveStaticArraysExt = "StaticArrays"
 SimpleNonlinearSolveTrackerExt = "Tracker"
 SimpleNonlinearSolveZygoteExt = "Zygote"
 
@@ -62,6 +61,7 @@ Reexport = "1.2"
 ReverseDiff = "1.15"
 SciMLBase = "2.37.0"
 SciMLSensitivity = "7.58"
+Setfield = "1.1.1"
 StaticArrays = "1.9"
 StaticArraysCore = "1.4.2"
 Test = "1.10"

src/SimpleNonlinearSolve.jl

@@ -24,6 +24,7 @@ using PrecompileTools: @compile_workload, @setup_workload, @recompile_invalidati
                      NonlinearFunction, NonlinearLeastSquaresProblem, NonlinearProblem,
                      ReturnCode, init, remake, solve, AbstractNonlinearAlgorithm,
                      build_solution, isinplace, _unwrap_val
+    using Setfield: @set!
     using StaticArraysCore: StaticArray, SVector, SMatrix, SArray, MArray, Size
 end
 

src/nlsolve/dfsane.jl

@@ -77,12 +77,8 @@ function SciMLBase.__solve(prob::NonlinearProblem, alg::SimpleDFSane{M}, args...
     α_1 = one(T)
     f_1 = fx_norm
 
-    history_f_k = if x isa SArray ||
-                     (x isa Number && __is_extension_loaded(Val(:StaticArrays)))
-        ones(SVector{M, T}) * fx_norm
-    else
-        fill(fx_norm, M)
-    end
+    history_f_k = x isa SArray ? ones(SVector{M, T}) * fx_norm :
+                  __history_vec(fx_norm, Val(M))
 
     # Generate the cache
     @bb x_cache = similar(x)
@@ -150,6 +146,8 @@ function SciMLBase.__solve(prob::NonlinearProblem, alg::SimpleDFSane{M}, args...
         # Store function value
         if history_f_k isa SVector
             history_f_k = Base.setindex(history_f_k, fx_norm_new, mod1(k, M))
+        elseif history_f_k isa NTuple
+            @set! history_f_k[mod1(k, M)] = fx_norm_new
         else
             history_f_k[mod1(k, M)] = fx_norm_new
         end
@@ -158,3 +156,9 @@ function SciMLBase.__solve(prob::NonlinearProblem, alg::SimpleDFSane{M}, args...
 
     return build_solution(prob, alg, x, fx; retcode = ReturnCode.MaxIters)
 end
+
+@inline @generated function __history_vec(fx_norm, ::Val{M}) where {M}
+    # Julia can't specialize here
+    M ≥ 11 && return :(fill(fx_norm, M))
+    return :(ntuple(Returns(fx_norm), $(M)))
+end