test: update tests to not wrap parameter vector in tuple

Author: AayushSabharwal

test/jumpsystem.jl

@@ -104,8 +104,8 @@ sol = solve(jprob, SSAStepper(); saveat = 1.0)
 rate2(u, p, t) = 0.01u[2]
 jump2 = ConstantRateJump(rate2, affect2!)
 mtjumps = jprob.discrete_jump_aggregation
-@test abs(mtjumps.rates[1](u, (p,), tf) - jump1.rate(u, p, tf)) < 10 * eps()
-@test abs(mtjumps.rates[2](u, (p,), tf) - jump2.rate(u, p, tf)) < 10 * eps()
+@test abs(mtjumps.rates[1](u, p, tf) - jump1.rate(u, p, tf)) < 10 * eps()
+@test abs(mtjumps.rates[2](u, p, tf) - jump2.rate(u, p, tf)) < 10 * eps()
 mtjumps.affects![1](mtintegrator)
 jump1.affect!(integrator)
 @test all(integrator.u .== mtintegrator.u)

test/labelledarrays.jl

@@ -19,7 +19,7 @@ ff = ODEFunction(de, [x, y, z], [σ, ρ, β], jac = true)
 a = @SVector [1.0, 2.0, 3.0]
 b = SLVector(x = 1.0, y = 2.0, z = 3.0)
 c = [1.0, 2.0, 3.0]
-p = (SLVector(σ = 10.0, ρ = 26.0, β = 8 / 3),)
+p = SLVector(σ = 10.0, ρ = 26.0, β = 8 / 3)
 @test ff(a, p, 0.0) isa SVector
 @test typeof(ff(b, p, 0.0)) <: SLArray
 @test ff(c, p, 0.0) isa Vector

test/odesystem.jl

@@ -235,7 +235,7 @@ end
 
 prob = ODEProblem(ODEFunction{false}(lotka), [1.0, 1.0], (0.0, 1.0), [1.5, 1.0, 3.0, 1.0])
 de = complete(modelingtoolkitize(prob))
-ODEFunction(de)(similar(prob.u0), prob.u0, (prob.p,), 0.1)
+ODEFunction(de)(similar(prob.u0), prob.u0, prob.p, 0.1)
 
 function lotka(du, u, p, t)
     x = u[1]
@@ -247,7 +247,7 @@ end
 prob = ODEProblem(lotka, [1.0, 1.0], (0.0, 1.0), [1.5, 1.0, 3.0, 1.0])
 
 de = complete(modelingtoolkitize(prob))
-ODEFunction(de)(similar(prob.u0), prob.u0, (prob.p,), 0.1)
+ODEFunction(de)(similar(prob.u0), prob.u0, prob.p, 0.1)
 
 # automatic unknown detection for DAEs
 @parameters k₁ k₂ k₃

test/sdesystem.jl

@@ -24,7 +24,7 @@ noiseeqs = [0.1 * x,
 @named de = SDESystem(eqs, noiseeqs, tt, [x, y, z], [σ, ρ, β], tspan = (0.0, 10.0))
 de = complete(de)
 f = eval(generate_diffusion_function(de)[1])
-@test f(ones(3), (rand(3),), nothing) == 0.1ones(3)
+@test f(ones(3), rand(3), nothing) == 0.1ones(3)
 
 f = SDEFunction(de)
 prob = SDEProblem(de, [1.0, 0.0, 0.0], (0.0, 100.0), [10.0, 26.0, 2.33])