make tests use aliasing API

Author: jClugstor

benchmarks/applelu.jl

@@ -39,9 +39,9 @@ for i in 1:length(ns)
     for j in 1:length(algs)
         bt = @belapsed solve(prob, $(algs[j])).u setup=(prob = LinearProblem(copy(A),
             copy(b);
-            u0 = copy(u0),
-            alias_A = true,
-            alias_b = true))
+            u0 = copy(u0), 
+            alias = LinearAliasSpecifier(alias_A = true, alias_b = true)
+            ))
         push!(res[j], luflop(n) / bt / 1e9)
     end
 end

benchmarks/cudalu.jl

@@ -34,8 +34,7 @@ for i in 1:length(ns)
         bt = @belapsed solve(prob, $(algs[j])).u setup=(prob = LinearProblem(copy(A),
             copy(b);
             u0 = copy(u0),
-            alias_A = true,
-            alias_b = true))
+            alias = LinearAliasSpecifier(alias_A = true, alias_b = true)))
         push!(res[j], luflop(n) / bt / 1e9)
     end
 end

benchmarks/lu.jl

@@ -41,8 +41,7 @@ for i in 1:length(ns)
         bt = @belapsed solve(prob, $(algs[j])).u setup=(prob = LinearProblem(copy(A),
             copy(b);
             u0 = copy(u0),
-            alias_A = true,
-            alias_b = true))
+            alias = LinearAliasSpecifier(alias_A = true, alias_b = true)))
         push!(res[j], luflop(n) / bt / 1e9)
     end
 end

benchmarks/metallu.jl

@@ -34,8 +34,7 @@ for i in 1:length(ns)
         bt = @belapsed solve(prob, $(algs[j])).u setup=(prob = LinearProblem(copy(A),
             copy(b);
             u0 = copy(u0),
-            alias_A = true,
-            alias_b = true))
+            alias = LinearAliasSpecifier(alias_A = true, alias_b = true)))
         GC.gc()
         push!(res[j], luflop(n) / bt / 1e9)
     end

benchmarks/sparselu.jl

@@ -69,8 +69,7 @@ function run_and_plot(; dims = [1, 2, 3], kmax = 12)
                     copy($A),
                     copy($b);
                     u0 = copy($u0),
-                    alias_A = true,
-                    alias_b = true))
+                    alias = LinearAliasSpecifier(alias_A = true, alias_b = true)))
                 push!(res[dim][j], bt)
             end
         end

test/gpu/cuda.jl

@@ -84,9 +84,9 @@ prob2 = LinearProblem(transpose(A), b)
 
 @testset "Adjoint/Transpose Type: $(alg)" for alg in (NormalCholeskyFactorization(),
     CholeskyFactorization(), LUFactorization(), QRFactorization(), nothing)
-    sol = solve(prob1, alg; alias_A = false)
+    sol = solve(prob1, alg; alias = LinearAliasSpecifier(alias = LinearAliasSpecifier(alias_A = false)))
     @test norm(A' * sol.u .- b) < 1e-5
 
-    sol = solve(prob2, alg; alias_A = false)
+    sol = solve(prob2, alg; alias = LinearAliasSpecifier(alias_A = false))
     @test norm(transpose(A) * sol.u .- b) < 1e-5
 end

test/resolve.jl

@@ -27,7 +27,7 @@ for alg in vcat(InteractiveUtils.subtypes(AbstractDenseFactorization),
         alg in [LDLtFactorization] && (A = SymTridiagonal(A))
         b = [1.0, 2.0]
         prob = LinearProblem(A, b)
-        linsolve = init(prob, alg(), alias_A = false, alias_b = false)
+        linsolve = init(prob, alg(), alias = LinearAliasSpecifier(alias_A = false, alias_b = false))
         @test solve!(linsolve).u ≈ [-2.0, 1.5]
         @test !linsolve.isfresh
         @test solve!(linsolve).u ≈ [-2.0, 1.5]
@@ -48,7 +48,7 @@ end
 A = Diagonal([1.0, 4.0])
 b = [1.0, 2.0]
 prob = LinearProblem(A, b)
-linsolve = init(prob, DiagonalFactorization(), alias_A = false, alias_b = false)
+linsolve = init(prob, DiagonalFactorization(), alias = LinearAliasSpecifier(alias_A = false, alias_b = false))
 @test solve!(linsolve).u ≈ [1.0, 0.5]
 @test solve!(linsolve).u ≈ [1.0, 0.5]
 A = Diagonal([1.0, 4.0])
@@ -59,7 +59,7 @@ A = Symmetric([1.0 2.0
                2.0 1.0])
 b = [1.0, 2.0]
 prob = LinearProblem(A, b)
-linsolve = init(prob, BunchKaufmanFactorization(), alias_A = false, alias_b = false)
+linsolve = init(prob, BunchKaufmanFactorization(), alias = LinearAliasSpecifier(alias_A = false, alias_b = false))
 @test solve!(linsolve).u ≈ [1.0, 0.0]
 @test solve!(linsolve).u ≈ [1.0, 0.0]
 A = Symmetric([1.0 2.0