Re-packaged

julia/test/find_closest.jl

@@ -1,4 +1,4 @@
-@testset "Single Shooting" begin
+@testset "Find Closest" begin
 
   # Initial Setup
   sc = Sc("test")
@@ -17,7 +17,7 @@
 
   # This should be close enough to 0.6
   x0 = repeat([0.59, 0., 0.], n)
-  result = single_shoot2(start, final, sc, μs["Earth"], 0.0, prop_time, x0)
+  result = Thesis.single_shoot(start, final, sc, μs["Earth"], 0.0, prop_time, x0)
 
   # Test and plot
   @test result[3] == :XTOL_REACHED
@@ -28,7 +28,7 @@
   savefig(plot_orbits([path1, path2, path3, path4],
                       labels=["inital", "transit", "after transit", "final"],
                       colors=["#FFFFFF","#FF4444","#44FF44","#4444FF"]),
-          "single_shoot_test.html")
+          "plots/find_closest_test.html")
   if result[3] == :XTOL_REACHED
     @test norm(path2[end,:] - final) < 1e-6
   end

julia/test/laguerre-conway.jl

@@ -1,4 +1,5 @@
 @testset "Laguerre-Conway" begin
+  using Thesis: laguerre_conway
 
   # Test that the propagator produces good periodic orbits (forwards and backwards)
   for T in rand(3600*1.5:3600*4, (5))

julia/test/plotting.jl

@@ -1,5 +1,7 @@
 @testset "Plotting" begin
 
+  using PlotlyJS
+
   # First some setup
   sc = Sc("test")
   T = rand(3600*2:0.01:3600*4)
@@ -13,7 +15,7 @@
   ΔVs = repeat([0.5, 0., 0.]', outer=(n,1))
   path = prop(ΔVs, start, sc, μs["Earth"], 3T)[1]
   p = plot_orbits([path])
-  savefig(p,"plot_test.html")
+  savefig(p,"../plots/plot_test.html")
   @test typeof(p) == PlotlyJS.SyncPlot
 
 end

julia/test/propagator.jl

@@ -1,5 +1,7 @@
 @testset "Propagator" begin
 
+  using Thesis: prop_one
+
   # Set up
   start = oe_to_xyz([ (μs["Earth"]*(rand(3600*1.5:0.01:3600*4)/(2π))^2)^(1/3),
                        rand(0.01:0.01:0.5),

julia/test/result.jl

@@ -1,16 +0,0 @@
-@testset "Result Construction" begin
-
-  # Test that the standard results can be created
-  result = Result("test_converged")
-  @test result.converged == true
-  @test length(result.ΔVs) == 0
-  @test length(result.start) == 0
-  @test length(result.final) == 0
-  
-  result = Result("test_unconverged")
-  @test result.converged == false
-  @test length(result.ΔVs) == 0
-  @test length(result.start) == 0
-  @test length(result.final) == 0
-  
-end

julia/test/runtests.jl

@@ -1,8 +1,8 @@
 using Test
 using Random
 using LinearAlgebra
+using Thesis
 
-include("../main.jl")
 
 # Tests
 @testset "All Tests" begin
@@ -10,8 +10,7 @@ include("../main.jl")
   include("laguerre-conway.jl")
   include("propagator.jl")
   include("plotting.jl")
-  include("result.jl")
-  include("single_shoot.jl")
+  include("find_closest.jl")
 end
 
 print()