Fix random tests

SciML · Sep 20, 2024 · 799f7de · 799f7de
1 parent 1af0998
commit 799f7de
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Showing 4 changed files with 5 additions and 11 deletions.
diff --git a/docs/pages.jl b/docs/pages.jl
@@ -7,7 +7,7 @@ pages = ["index.md",
         "tutorials/linearandinteger.md",
         "tutorials/minibatch.md",
         "tutorials/remakecomposition.md",
-        "tutorials/symbolic.md",
+        "tutorials/symbolic.md"
     ],
     "Examples" => [
         "examples/rosenbrock.md"
@@ -41,6 +41,6 @@ pages = ["index.md",
         "Polyalgorithms.jl" => "optimization_packages/polyopt.md",
         "PRIMA.jl" => "optimization_packages/prima.md",
         "QuadDIRECT.jl" => "optimization_packages/quaddirect.md",
-        "SpeedMapping.jl" => "optimization_packages/speedmapping.md",
+        "SpeedMapping.jl" => "optimization_packages/speedmapping.md"
     ]
 ]
diff --git a/docs/src/tutorials/minibatch.md b/docs/src/tutorials/minibatch.md
@@ -32,14 +32,8 @@ function dudt_(u, p, t)
     smodel(u, p) .* u
 end
 
-function callback(state, l, pred; doplot = false) #callback function to observe training
+function callback(state, l) #callback function to observe training
     display(l)
-    # plot current prediction against data
-    if doplot
-        pl = scatter(t, ode_data[1, :], label = "data")
-        scatter!(pl, t, pred[1, :], label = "prediction")
-        display(plot(pl))
-    end
     return false
 end
 

diff --git a/lib/OptimizationNLopt/test/runtests.jl b/lib/OptimizationNLopt/test/runtests.jl
@@ -117,8 +117,7 @@ using Test, Random
         # @test sol.retcode == ReturnCode.Success
         @test 10 * sol.objective < l1
 
-        Random.seed!(1)
-        prob = OptimizationProblem(optprob, rand(2), _p, lcons = [-Inf, -Inf],
+        prob = OptimizationProblem(optprob, [0.5, 0.5], _p, lcons = [-Inf, -Inf],
             ucons = [0.0, 0.0], lb = [-1.0, -1.0], ub = [1.0, 1.0])
         sol = solve(prob, NLopt.GN_ISRES(), maxiters = 1000)
         @test sol.retcode == ReturnCode.MaxIters

diff --git a/test/diffeqfluxtests.jl b/test/diffeqfluxtests.jl
@@ -1,6 +1,7 @@
 using OrdinaryDiffEq, DiffEqFlux, Lux, Optimization, OptimizationOptimJL,
       OptimizationOptimisers, ForwardDiff, ComponentArrays, Random
 rng = Random.default_rng()
+Random.seed!(123)
 
 function lotka_volterra!(du, u, p, t)
     x, y = u