test: update tests to account for new metadata

Author: AayushSabharwal

test/components.jl

@@ -8,6 +8,7 @@ using ModelingToolkitStandardLibrary.Electrical
 using ModelingToolkitStandardLibrary.Blocks
 using LinearAlgebra
 using ModelingToolkitStandardLibrary.Thermal
+using SymbolicUtils: getmetadata
 include("common/rc_model.jl")
 
 @testset "Basics" begin
@@ -328,8 +329,8 @@ end
 @testset "Issue#3275: Metadata retained on `complete`" begin
     @variables x(t) y(t)
     @named inner = System(D(x) ~ x, t)
-    @named outer = System(D(y) ~ y, t; systems = [inner], metadata = "test")
-    @test ModelingToolkit.get_metadata(outer) == "test"
+    @named outer = System(D(y) ~ y, t; systems = [inner], metadata = [Int => "test"])
+    @test getmetadata(outer, Int, nothing) == "test"
     sys = complete(outer)
-    @test ModelingToolkit.get_metadata(sys) == "test"
+    @test getmetadata(sys, Int, nothing) == "test"
 end

test/discrete_system.jl

@@ -5,7 +5,6 @@
 =#
 using ModelingToolkit, SymbolicIndexingInterface, Test
 using ModelingToolkit: t_nounits as t
-using ModelingToolkit: get_metadata, MTKParameters
 
 # Make sure positive shifts error
 @variables x(t)
@@ -205,11 +204,6 @@ RHS2 = RHS
 #     @test c[1] + 1 == length(sol)
 # end
 
-@variables x(t) y(t)
-testdict = Dict([:test => 1])
-@named sys = System([x(k + 1) ~ 1.0], t, [x], []; metadata = testdict)
-@test get_metadata(sys) == testdict
-
 @variables x(t) y(t) u(t)
 eqs = [u ~ 1
        x ~ x(k - 1) + u

test/nonlinearsystem.jl

@@ -1,5 +1,4 @@
 using ModelingToolkit, StaticArrays, LinearAlgebra
-using ModelingToolkit: get_metadata
 using DiffEqBase, SparseArrays
 using Test
 using NonlinearSolve
@@ -198,14 +197,6 @@ eq = [v1 ~ sin(2pi * t * h)
 @named sys = System(eq, t)
 @test length(equations(structural_simplify(sys))) == 0
 
-@variables x(t)
-@parameters a
-eqs = [0 ~ a * x]
-
-testdict = Dict([:test => 1])
-@named sys = System(eqs, [x], [a], metadata = testdict)
-@test get_metadata(sys) == testdict
-
 @testset "Remake" begin
     @parameters a=1.0 b=1.0 c=1.0
     @constants h = 1

test/odesystem.jl

@@ -799,16 +799,6 @@ let
     @test string.(independent_variables(prob.f.sys)) == ["t"]
 end
 
-@parameters C L R
-@variables q(t) p(t) F(t)
-
-eqs = [D(q) ~ -p / L - F
-       D(p) ~ q / C
-       0 ~ q / C - R * F]
-testdict = Dict([:name => "test"])
-@named sys = System(eqs, t, metadata = testdict)
-@test get_metadata(sys) == testdict
-
 @variables P(t)=NaN Q(t)=NaN
 eqs = [D(Q) ~ 1 / sin(P), D(P) ~ log(-cos(Q))]
 @named sys = System(eqs, t, [P, Q], [])
@@ -1112,16 +1102,23 @@ end
 
 # https://github.com/SciML/ModelingToolkit.jl/issues/2502
 @testset "Extend systems with a field that can be nothing" begin
-    A = Dict(:a => 1)
-    B = Dict(:b => 2)
+    A = Dict(Int => 1)
+    B = Dict(String => 2)
     @named A1 = System(Equation[], t, [], [])
     @named B1 = System(Equation[], t, [], [])
     @named A2 = System(Equation[], t, [], []; metadata = A)
     @named B2 = System(Equation[], t, [], []; metadata = B)
-    @test ModelingToolkit.get_metadata(extend(A1, B1)) == nothing
-    @test ModelingToolkit.get_metadata(extend(A1, B2)) == B
-    @test ModelingToolkit.get_metadata(extend(A2, B1)) == A
-    @test Set(ModelingToolkit.get_metadata(extend(A2, B2))) == Set(A ∪ B)
+    @test isempty(ModelingToolkit.get_metadata(extend(A1, B1)))
+    meta = ModelingToolkit.get_metadata(extend(A1, B2))
+    @test length(meta) == 1
+    @test meta[String] == 2
+    meta = ModelingToolkit.get_metadata(extend(A2, B1))
+    @test length(meta) == 1
+    @test meta[Int] == 1
+    meta = ModelingToolkit.get_metadata(extend(A2, B2))
+    @test length(meta) == 2
+    @test meta[Int] == 1
+    @test meta[String] == 2
 end
 
 # https://github.com/SciML/ModelingToolkit.jl/issues/2859

test/optimizationsystem.jl

@@ -1,7 +1,6 @@
 using ModelingToolkit, SparseArrays, Test, Optimization, OptimizationOptimJL,
       OptimizationMOI, Ipopt, AmplNLWriter, Ipopt_jll, SymbolicIndexingInterface,
       LinearAlgebra
-using ModelingToolkit: get_metadata
 
 @testset "basic" begin
     @variables x y
@@ -228,18 +227,6 @@ end
      =#
 end
 
-@testset "metadata" begin
-    @variables x
-    o1 = (x - 1)^2
-    c1 = [
-        x ~ 1
-    ]
-    testdict = Dict(["test" => 1])
-    sys1 = OptimizationSystem(o1, [x], [], name = :sys1, constraints = c1,
-        metadata = testdict)
-    @test get_metadata(sys1) == testdict
-end
-
 @testset "non-convex problem with inequalities" begin
     @variables x[1:2] [bounds = (0.0, Inf)]
     @named sys = OptimizationSystem(x[1] + x[2], [x...], [];