Test reorganization : grouping tests by type (unit, sim) + script that

run the tests
Function load_module in core + test

core/MarkovProcesses.jl

@@ -4,6 +4,7 @@ import Base: +, -, getfield, getindex
 
 export Model, ContinuousTimeModel, DiscreteTimeModel
 export simulate, set_param!, get_param
+export load_model
 include("model.jl")
 
 export Observations, AbstractTrajectory

core/model.jl

@@ -8,3 +8,7 @@ function simulate(m::Model, n::Int; bound::Real = Inf)::AbstractObservations end
 function set_param!(m::Model, p::AbstractVector{Real})::Nothing end
 function get_param(m::Model)::AbstractVector{Real} end
 
+function load_model(name_model::String)
+    include(pathof(@__MODULE__) * "/../../models/" * name_model * ".jl")
+end
+

tests/models/sir.jl → models/sir.jl

@@ -48,5 +48,5 @@ g = SVector(1)
 
 # Gamma should be constructed automatically in the case of 
 
-#m = Model(d,dobs,k,dict,l_name,param,p,x0,f,g)
+#SIR = Model(d,dobs,k,dict,l_name,param,p,x0,f,g)
 

tests/run_unit.jl

+
+using Test
+
+@testset "Unit tests" begin
+    @test include("unit/load_model.jl")
+    @test include("unit/load_module.jl")
+end
+

tests/sim_sir.jl → tests/simulation/sim_sir.jl

@@ -2,7 +2,7 @@
 using MarkovProcesses 
 using PyPlot
 
-include("models/sir.jl")
+load_model("sir")
 
 σ = simulate(SIR)
 plt.figure()

tests/unit/load_model.jl

+
+using MarkovProcesses
+load_model("sir")
+
+return true
+

tests/unit/load_module.jl

+
+using MarkovProcesses
+
+return true
+