v0.6 backward compatibility

Author: mohamed82008

REQUIRE

@@ -1,3 +1,3 @@
-julia 0.7
+julia 0.6
 IterativeSolvers 0.7.0
 Compat 1.0.0

src/utils.jl

@@ -91,7 +91,11 @@ function approximate_eigenvalues(A, tol, maxiter, symmetric, v0)
         rmul!(w, 1/H[j+1,j])
         push!(V, w)
     end
-    Eigs, Vects = (eigen(H[1:maxiter, 1:maxiter], Matrix{eltype(A)}(I, maxiter, maxiter))...,)
+    @static if VERSION < v"0.7-"
+        Eigs, Vects = eig(H[1:maxiter, 1:maxiter], Matrix{eltype(A)}(I, maxiter, maxiter))
+    else
+        Eigs, Vects = (eigen(H[1:maxiter, 1:maxiter], Matrix{eltype(A)}(I, maxiter, maxiter))...,)
+    end
 
     Vects, Eigs, H, V, flag
 end

test/runtests.jl

@@ -96,8 +96,13 @@ for i = 1:2
 end
 @test size(ml.final_A, 1) == 2
 @test nnz(ml.final_A) == 4
-@test round(AMG.operator_complexity(ml), digits=3) ≈ 1.142
-@test round(AMG.grid_complexity(ml), digits=3) ≈ 1.190
+@static if VERSION < v"0.7-"
+    @test round(AMG.operator_complexity(ml), 3) ≈ 1.142
+    @test round(AMG.grid_complexity(ml), 3) ≈ 1.190
+else
+    @test round(AMG.operator_complexity(ml), digits=3) ≈ 1.142
+    @test round(AMG.grid_complexity(ml), digits=3) ≈ 1.190
+end
 
 include("gmg.jl")
 

test/sa_tests.jl

@@ -206,19 +206,26 @@ function test_approximate_spectral_radius()
     end
 
     for A in cases
-        E,V = (eigen(A)...,)
+        @static if VERSION < v"0.7-"
+            E,V = eig(A)            
+        else
+            E,V = (eigen(A)...,)
+        end
         E = abs.(E)
         largest_eig = findall(E .== maximum(E))[1]
         expected_eig = E[largest_eig]
 
         @test isapprox(approximate_spectral_radius(A), expected_eig)
-
     end
 
     # Symmetric matrices
     for A in cases
         A = A + A'
-        E,V = (eigen(A)...,)
+        @static if VERSION < v"0.7-"
+            E,V = eig(A)            
+        else
+            E,V = (eigen(A)...,)
+        end
         E = abs.(E)
         largest_eig = findall(E .== maximum(E))[1]
         expected_eig = E[largest_eig]