Tests for sparse matrices with Int64 and Int32 indices.

Author: tkonolige

test/cg.jl

@@ -58,7 +58,7 @@ end
     rmul!(rhs, inv(norm(rhs)))
     tol = 1e-5
 
-    @testset "Matrix" begin
+    @testset "SparseMatrixCSC{$T, $Ti}" for T in (Float64, Float32), Ti in (Int64, Int32)
         xCG = cg(A, rhs; tol=tol, maxiter=100)
         xJAC = cg(A, rhs; Pl=P, tol=tol, maxiter=100)
         @test norm(A * xCG - rhs) ≤ tol

test/gmres.jl

@@ -33,7 +33,7 @@ n = 10
     @test norm(A * x - b) / norm(b) ≤ tol
 end
 
-@testset "SparseMatrixCSC{$T}" for T in (Float64, ComplexF64)
+@testset "SparseMatrixCSC{$T, $Ti}" for T in (Float64, ComplexF64), Ti in (Int64, Int32)
     A = sprand(T, n, n, 0.5) + I
     b = rand(T, n)
     F = lu(A)

test/idrs.jl

@@ -29,7 +29,7 @@ Random.seed!(1234567)
     end
 end
 
-@testset "SparseMatrixCSC{$T}" for T in (Float64, ComplexF64)
+@testset "SparseMatrixCSC{$T, $Ti}" for T in (Float64, ComplexF64), Ti in (Int64, Int32)
     A = sprand(T, n, n, 0.5) + n * I
     b = rand(T, n)
     tol = √eps(real(T))

test/minres.jl

@@ -51,7 +51,7 @@ end
     @test hist.isconverged
 end
 
-@testset "SparseMatrixCSC{$T}" for T in (Float32, Float64, ComplexF32, ComplexF64)
+@testset "SparseMatrixCSC{$T, $Ti}" for T in (Float32, Float64, ComplexF32, ComplexF64), Ti in (Int64, Int32)
     A = let
         B = sprand(n, n, 2 / n)
         B + B' + I

test/stationary.jl

@@ -16,7 +16,7 @@ m = 6
 ω = 1.2
 Random.seed!(1234322)
 
-@testset "SparseMatrix{$T}" for T in (Float32, Float64, ComplexF32, ComplexF64)
+@testset "SparseMatrix{$T, $Ti}" for T in (Float32, Float64, ComplexF32, ComplexF64), Ti in (Int64, Int32)
     @testset "Sparse? $sparse" for sparse = (true, false)
         # Diagonally dominant
         if sparse