test: fix tests

Author: AayushSabharwal

test/initializationsystem.jl

@@ -28,7 +28,7 @@ sol = solve(initprob)
 
 initprob = ModelingToolkit.InitializationProblem(pend, 0.0, [x => 1, y => 0], [g => 1];
     guesses = ModelingToolkit.missing_variable_defaults(pend))
-@test initprob isa NonlinearProblem
+@test initprob isa NonlinearLeastSquaresProblem
 sol = solve(initprob)
 @test SciMLBase.successful_retcode(sol)
 @test sol.u == [0.0, 0.0, 0.0, 0.0]

test/mtkparameters.jl

@@ -299,7 +299,7 @@ end
 
 # Parameter timeseries
 ps = MTKParameters(([1.0, 1.0],), (BlockedArray(zeros(4), [2, 2]),),
-    (), ())
+    (), (), ())
 ps2 = SciMLStructures.replace(Discrete(), ps, ones(4))
 @test typeof(ps2.discrete) == typeof(ps.discrete)
 with_updated_parameter_timeseries_values(
@@ -316,7 +316,7 @@ with_updated_parameter_timeseries_values(
 ps = MTKParameters(
     (), (BlockedArray([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [3, 3]),
         BlockedArray(falses(1), [1, 0])),
-    (), ())
+    (), (), ())
 @test SciMLBase.get_saveable_values(sys, ps, 1).x isa Tuple{Vector{Float64}, Vector{Bool}}
 tsidx1 = 1
 tsidx2 = 2

test/scc_nonlinear_problem.jl

@@ -3,6 +3,7 @@ using NonlinearSolve, SCCNonlinearSolve
 using OrdinaryDiffEq
 using SciMLBase, Symbolics
 using LinearAlgebra, Test
+using ModelingToolkit: t_nounits as t, D_nounits as D
 
 @testset "Trivial case" begin
     function f!(du, u, p)
@@ -30,7 +31,7 @@ using LinearAlgebra, Test
     sol2 = solve(sccprob, NewtonRaphson())
     @test SciMLBase.successful_retcode(sol1)
     @test SciMLBase.successful_retcode(sol2)
-    @test sol1.u ≈ sol2.u
+    @test sol1[u] ≈ sol2[u]
 end
 
 @testset "With parameters" begin

test/split_parameters.jl

@@ -206,7 +206,7 @@ S = get_sensitivity(closed_loop, :u)
             BlockedArray([[1 2; 3 4], [2 4; 6 8]], [1, 1])),
         # (BlockedArray([[true, false], [false, true]]), BlockedArray([[[1 2; 3 4]], [[2 4; 6 8]]])),
         ([5, 6],),
-        (["hi", "bye"], [:lie, :die]))
+        (["hi", "bye"], [:lie, :die]), ())
     @test ps[ParameterIndex(Tunable(), 1)] == 1.0
     @test ps[ParameterIndex(Tunable(), 2:4)] == collect(2.0:4.0)
     @test ps[ParameterIndex(Tunable(), reshape(4:7, 2, 2))] == reshape(4.0:7.0, 2, 2)