Fix new ODE solver warning.

BecksLab · Feb 9, 2024 · 9628e4c · 9628e4c
1 parent edb8d19
commit 9628e4c
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Showing 2 changed files with 11 additions and 11 deletions.
diff --git a/test/internals/model/test-nutrient_intake.jl b/test/internals/model/test-nutrient_intake.jl
@@ -108,7 +108,7 @@ end
     B0 = ones(S)
     N0 = ones(nutrient_richness(model))
     sim = simulates(model, B0; N0)
-    @test sim[end][2:3] == [0.0, 0.0]
+    @test sim.u[end][2:3] == [0.0, 0.0]
 
     # In the absence of consumers, all biomasses are equal (for equal growth parameters).
     foodweb = FoodWeb([0 0; 0 0])
@@ -128,5 +128,5 @@ end
     B0 = ones(2)
     N0 = ones(2)
     sol = simulates(model, B0; N0)
-    @test sol[end][1] > sol[end][2]
+    @test sol.u[end][1] > sol.u[end][2]
 end
diff --git a/test/user/05-basic_pipelines.jl b/test/user/05-basic_pipelines.jl
@@ -11,7 +11,7 @@ Random.seed!(12)
     m = default_model(fw)
     B0 = [0.5, 0.5, 0.5]
     sol = simulate(m, B0)
-    @test sol[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
+    @test sol.u[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
 
 end
 
@@ -32,7 +32,7 @@ end
 
     # Simulate.
     sol = simulate(m, 0.5) # (all initial values to 0.5)
-    @test sol[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
+    @test sol.u[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
 
 end
 
@@ -50,7 +50,7 @@ end
     )
 
     sol = simulate(m, [0.5, 0.5, 0.5])
-    @test sol[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
+    @test sol.u[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
 
 end
 
@@ -71,7 +71,7 @@ end
     # (this produces a system copy on every '+')
 
     sol = simulate(m, 0.5)
-    @test sol[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
+    @test sol.u[end] ≈ [0.04885048633720308, 0.1890242584230083, 0.22059687801237501]
 
 end
 
@@ -88,7 +88,7 @@ end
     m = default_model(fw, ClassicResponse())
 
     sol = simulate(m, 0.5)
-    @test sol[end] ≈ [0.2246409590398916, 0.09112832180307448, 0.5444058436109662]
+    @test sol.u[end] ≈ [0.2246409590398916, 0.09112832180307448, 0.5444058436109662]
 
 end
 
@@ -102,7 +102,7 @@ end
     )
 
     sol = simulate(m, 0.5)
-    @test sol[end] ≈ [0.24726844778226592, 0.09114742274197872, 0.6904984843155931]
+    @test sol.u[end] ≈ [0.24726844778226592, 0.09114742274197872, 0.6904984843155931]
 
 end
 
@@ -120,7 +120,7 @@ end
     )
 
     sol = simulate(m, 0.5)
-    @test sol[end] ≈ [
+    @test sol.u[end] ≈ [
         0.29247159105315307
         0.14537825150324735
         0.12875174646007237
@@ -149,7 +149,7 @@ end
     m += layers[:facilitation] + layers[:c] + layers["ref"] + layers['i']
 
     sol = simulate(m, 0.5)
-    @test sol[end] ≈ [
+    @test sol.u[end] ≈ [
         0.29247159105315307
         0.14537825150324735
         0.12875174646007237
@@ -167,7 +167,7 @@ end
     B0, N0 = rand(3), rand(2)
     sol = simulate(m, B0; N0)
     m._value.producer_growth.concentration
-    @test sol[end] ≈ [
+    @test sol.u[end] ≈ [
         0.28423925333678635,
         0.18879238451408806,
         0.1534109945177679,