Add Aqua and JET to the tests

Project.toml

@@ -12,6 +12,12 @@ SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 
 [compat]
 julia = "1.6"
+ComponentArrays = "0.15"
+JSON = "0.21"
+LinearAlgebra = "1"
+Markdown = "1"
+SciMLBase = "1,2"
+Test = "1"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

src/chaotic_attractors.jl

@@ -3730,6 +3730,9 @@ class BeerRNN(DynSys):
 """
 @doc make_docstring(BeerRNN) BeerRNN
 function BeerRNN()
+    function sig(x)
+        return 1.0 / (1.0 + exp(-x))
+    end
     function rhs(du, u, p, t)
         w, theta, tau = p
         du .= (-u + w * sig.(u + theta)) / tau
@@ -3738,7 +3741,7 @@ function BeerRNN()
     p = dict_to_componentarray(ATTRACTOR_DATA["BeerRNN"]["parameters"])
     tspan = (0.0, 1.0)
     f = ODEFunction(rhs)
-    prob = ODEProblem(f,u0,tspan,p)
+    prob = ODEProblem(f, u0, tspan, p,)
     return prob
 end
 

test/Project.toml

@@ -0,0 +1,4 @@
+[deps]
+Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
+ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
+JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"

test/runtests.jl

@@ -1,6 +1,18 @@
 using ChaoticDynamicalSystemLibrary
 using Test
+using Aqua, JET
 
 @testset "ChaoticDynamicalSystemLibrary.jl" begin
     # Write your tests here.
+
+    @testset "Code quality (Aqua.jl)" begin
+        Aqua.test_all(
+            ChaoticDynamicalSystemLibrary;
+            ambiguities=(imported=false),
+        )
+    end
+
+    @testset "Code linting (JET.jl)" begin
+        JET.test_package(ChaoticDynamicalSystemLibrary; target_defined_modules = true)
+    end
 end