fix t imports

Author: ChrisRackauckas

test/downstream/integrator_indexing.jl

@@ -118,7 +118,7 @@ integrator[noisy_population_model.s2] = 10.0
 integrator[:s1] = 1.0
 @test integrator[s1] == integrator[noisy_population_model.s1] == integrator[:s1] == 1.0
 
-@parameters t σ ρ β
+@parameters σ ρ β
 @variables x(t) y(t) z(t)
 D = Differential(t)
 
@@ -327,7 +327,6 @@ plot(sol,idxs=(t,α))
 =#
 
 using LinearAlgebra
-@variables t
 sts = @variables x(t)[1:3]=[1, 2, 3.0] y(t)=1.0
 ps = @parameters p[1:3] = [1, 2, 3]
 D = Differential(t)

test/downstream/problem_interface.jl

@@ -179,7 +179,6 @@ set_tuple!(sprob, [10.0, 10.0])
 @test get_tuple(sprob) == (10.0, 10.0)
 
 using LinearAlgebra
-@variables t
 sts = @variables x(t)[1:3]=[1, 2, 3.0] y(t)=1.0
 ps = @parameters p[1:3] = [1, 2, 3]
 D = Differential(t)

test/downstream/remake_autodiff.jl

@@ -1,6 +1,7 @@
 using OrdinaryDiffEq, ModelingToolkit, Zygote, SciMLSensitivity
+using ModelingToolkit: t_nounits as t, D_nounits as D
 
-@variables t x(t) o(t)
+@variables x(t) o(t)
 D = Differential(t)
 function lotka_volterra(; name = name)
     unknowns = @variables x(t)=1.0 y(t)=1.0 o(t)

test/downstream/symbol_indexing.jl

@@ -215,7 +215,6 @@ plot(sol,idxs=(t,α))
 =#
 
 using LinearAlgebra
-@variables t
 sts = @variables x(t)[1:3]=[1, 2, 3.0] y(t)=1.0
 ps = @parameters p[1:3] = [1, 2, 3]
 D = Differential(t)
@@ -339,7 +338,7 @@ for (sym, oldval, newval, check_inference) in [
 end
 
 # accessing parameters
-@variables t x(t)
+@variables x(t)
 @parameters tau
 D = Differential(t)