🔧 add some tests

PoisotLab · Jul 8, 2019 · fa12d6f · fa12d6f
1 parent 62337a9
commit fa12d6f
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Showing 4 changed files with 17 additions and 5 deletions.
diff --git a/docs/make.jl b/docs/make.jl
@@ -1,11 +1,12 @@
 using Pkg
 
+tmp_packages = ["EcologicalNetworksPlots", "Plots"]
+
 push!(LOAD_PATH,"../src/")
 
 Pkg.activate(".")
 
-Pkg.add("EcologicalNetworksPlots") # IMPORTANT
-Pkg.add("Plots") # IMPORTANT
+Pkg.add.(tmp_packages) # IMPORTANT
 
 using Documenter
 using EcologicalNetworks
@@ -31,7 +32,7 @@ makedocs(
             "Overlap and similarity" => "properties/overlap.md",
             "Null models" => "properties/nullmodels.md",
             "Beta-diversity" => "properties/betadiversity.md",
-            "Resilience" => "properties/resilience.md"
+            "Resilience" => "properties/resilience.md",
             "Information theory" => "properties/information.md"
         ],
         "Plots" => "plots.md"
@@ -44,5 +45,4 @@ deploydocs(
     devbranch = "master"
 )
 
-Pkg.rm("EcologicalNetworksPlots") # IMPORTANT
-Pkg.rm("Plots") # IMPORTANT
+Pkg.rm.(tmp_packages) # IMPORTANT
diff --git a/docs/src/plots.md b/docs/src/plots.md
@@ -1,3 +1,7 @@
+Plotting functions are part of the `EcologicalNetworksPlot`, which requires
+`Plot` to work.
+
+
 ## Initial layouts
 
 ```@docs

diff --git a/test/rand/cascademodel.jl b/test/rand/cascademodel.jl
@@ -7,6 +7,9 @@ module TestCascadeModel
   @test richness(cascademodel(10, 0.1)) == 10
   @test richness(cascademodel(10, 0.2)) == 10
   @test richness(cascademodel(20, 0.1)) == 20
+
+  @test richness(cascademodel((10, 0.1))) == 10
+  @test richness(cascademodel((10, 10))) == 10
 
   @test_throws ArgumentError cascademodel(10, 0.9)
   @test_throws ArgumentError cascademodel(10, 0.7)

diff --git a/test/types/conversions.jl b/test/types/conversions.jl
@@ -11,6 +11,11 @@ M = convert(UnipartiteNetwork, N)
 @test has_interaction(M, :b, :B)
 @test !has_interaction(M, :A, :B)
 
+# Convert back to bipartite
+K = convert(BipartiteNetwork, M)
+@test has_interaction(M, :b, :B)
+@test !has_interaction(M, :A, :B)
+
 N = BipartiteQuantitativeNetwork([4 0 ; 2 1], [:a, :b], [:A, :B])
 M = convert(UnipartiteQuantitativeNetwork, N)
 @test has_interaction(M, :a, :A)