Fix _solve with nonisbits type

Project.toml

@@ -1,6 +1,6 @@
 name = "StaticArrays"
 uuid = "90137ffa-7385-5640-81b9-e52037218182"
-version = "1.5.2"
+version = "1.5.3"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

src/solve.jl

@@ -16,33 +16,40 @@ end
     T = typeof((one(Ta)*zero(Tb) + one(Ta)*zero(Tb))/d)
     @inbounds return similar_type(b, T)(
         ((a[2,2]*a[3,3] - a[2,3]*a[3,2])*b[1] +
-            (a[1,3]*a[3,2] - a[1,2]*a[3,3])*b[2] +
-            (a[1,2]*a[2,3] - a[1,3]*a[2,2])*b[3]) / d,
+         (a[1,3]*a[3,2] - a[1,2]*a[3,3])*b[2] +
+         (a[1,2]*a[2,3] - a[1,3]*a[2,2])*b[3]) / d,
         ((a[2,3]*a[3,1] - a[2,1]*a[3,3])*b[1] +
-            (a[1,1]*a[3,3] - a[1,3]*a[3,1])*b[2] +
-            (a[1,3]*a[2,1] - a[1,1]*a[2,3])*b[3]) / d,
+         (a[1,1]*a[3,3] - a[1,3]*a[3,1])*b[2] +
+         (a[1,3]*a[2,1] - a[1,1]*a[2,3])*b[3]) / d,
         ((a[2,1]*a[3,2] - a[2,2]*a[3,1])*b[1] +
-            (a[1,2]*a[3,1] - a[1,1]*a[3,2])*b[2] +
-            (a[1,1]*a[2,2] - a[1,2]*a[2,1])*b[3]) / d )
+         (a[1,2]*a[3,1] - a[1,1]*a[3,2])*b[2] +
+         (a[1,1]*a[2,2] - a[1,2]*a[2,1])*b[3]) / d )
 end
 
 for Sa in [(2,2), (3,3)]  # not needed for Sa = (1, 1);
     @eval begin
         @inline function _solve(::Size{$Sa}, ::Size{Sb}, a::StaticMatrix{<:Any, <:Any, Ta}, b::StaticMatrix{<:Any, <:Any, Tb}) where {Sb, Ta, Tb}
             d = det(a)
             T = typeof((one(Ta)*zero(Tb) + one(Ta)*zero(Tb))/d)
-            c = similar(b, T)
-            for col = 1:Sb[2]
-                @inbounds c[:, col] = _solve(Size($Sa), Size($Sa[1],), a, b[:, col])
+            if isbitstype(T)
+                # This if block can be removed when https://github.com/JuliaArrays/StaticArrays.jl/pull/749 is merged.
+                c = similar(b, T)
+                for col in 1:Sb[2]
+                    @inbounds c[:, col] = _solve(Size($Sa), Size($Sa[1],), a, b[:, col])
+                end
+                return similar_type(b, T)(c)
+            else
+                return _solve_general($(Size(Sa)), Size(Sb), a, b)
             end
-            return similar_type(b, T)(c)
         end
     end # @eval
 end
 
+@inline function _solve(sa::Size, sb::Size, a::StaticMatrix, b::StaticVecOrMat)
+    _solve_general(sa, sb, a, b)
+end
 
-
-@generated function _solve(::Size{Sa}, ::Size{Sb}, a::StaticMatrix{<:Any, <:Any, Ta}, b::StaticVecOrMat{Tb}) where {Sa, Sb, Ta, Tb}
+@generated function _solve_general(::Size{Sa}, ::Size{Sb}, a::StaticMatrix{<:Any, <:Any, Ta}, b::StaticVecOrMat{Tb}) where {Sa, Sb, Ta, Tb}
     if Sa[1] != Sb[1]
         return quote
             throw(DimensionMismatch("Left and right hand side first dimensions do not match in backdivide (got sizes $Sa and $Sb)"))

test/solve.jl

@@ -3,7 +3,7 @@ using StaticArrays, Test, LinearAlgebra
 @testset "Solving linear system" begin
     @testset "Problem size: $n x $n. Matrix type: $m. Element type: $elty, Wrapper: $wrapper" for n in (1,2,3,4,5,8,15),
             (m, v) in ((SMatrix{n,n}, SVector{n}), (MMatrix{n,n}, MVector{n})),
-                elty in (Float64, Int), wrapper in (identity, Symmetric, Hermitian)
+                elty in (Float64, Int, BigFloat), wrapper in (identity, Symmetric, Hermitian)
 
         A = wrapper(elty.(rand(-99:2:99, n, n)))
         b = A * elty.(rand(2:5, n))
@@ -33,7 +33,7 @@ end
 @testset "Solving linear system (multiple RHS)" begin
     @testset "Problem size: $n x $n. Matrix type: $m1. Element type: $elty" for n in (1,2,3,4,5,8,15),
             (m1, m2) in ((SMatrix{n,n}, SMatrix{n,2}), (MMatrix{n,n}, MMatrix{n,2})),
-                elty in (Float64, Int)
+                elty in (Float64, Int, BigFloat)
 
         A = elty.(rand(-99:2:99, n, n))
         b = A * elty.(rand(2:5, n, 2))