Fix some minor bugs

Author: BenLauwens

src/continuous.jl

@@ -65,5 +65,5 @@ macro continuous(expr::Expr)
       push!(args, expr.args[i])
     end
   end
-  esc(:(Continuous($func(), $(args...); $(params...))))
+  esc(:(SimJulia.Continuous($func(), $(args...); $(params...))))
 end

src/odes/macros.jl

@@ -51,9 +51,9 @@ macro model(expr::Expr)
       end
     end
   end
-  println(zc_vec)
-  println(neg_vec)
-  println(pos_vec)
+  #println(zc_vec)
+  #println(neg_vec)
+  #println(pos_vec)
   n = length(f_vec)
   m = length(zc_vec)
   deps = zeros(Bool, n, n)
@@ -67,9 +67,9 @@ macro model(expr::Expr)
   for (i, ex) in enumerate(zc_vec)
     check_dependencies(ex, zc_deps, i, expr.args[1].args[3])
   end
-  println(deps)
-  println(param_deps)
-  println(zc_deps)
+  #println(deps)
+  #println(param_deps)
+  #println(zc_deps)
   esc(:(function $func_name()
       f = Array{Function}($n)
       $((:(f[$(f_vec[i].args[1].args[2])] = ($(expr.args[1].args[2])::TaylorSeries.Taylor1{Float64}, $(expr.args[1].args[3])::Vector{TaylorSeries.Taylor1{Float64}}, $(expr.args[1].args[4])::Vector{Float64})->begin

test/continuous.jl

@@ -1,4 +1,5 @@
 using SimJulia
+using Distributions
 
 @model function simple(t, x, p, dx)
   dx[1] = x[1]
@@ -13,7 +14,7 @@ end
   dx[2] = p[1]-100.0*x[1]-100.0*x[2]
 end
 
-function report(sim::Simulation, cont::Continuous)
+function report(sim::Simulation, cont::SimJulia.Continuous)
   λ, P = eig([0.0 0.01; -100.0 -100.0])
   while true
     t = now(sim)