test/known_graphs.jl

@@ -1,6 +1,8 @@
 using MetagraphOptimization
 using Random
 
+RNG = Random.MersenneTwister(321)
+
 function test_known_graph(name::String, n, fusion_test = true)
     @testset "Test $name Graph ($n)" begin
         graph = parse_dag(joinpath(@__DIR__, "..", "input", "$name.txt"), ABCModel())
@@ -9,7 +11,7 @@ function test_known_graph(name::String, n, fusion_test = true)
         if (fusion_test)
             test_node_fusion(graph)
         end
-        test_random_walk(graph, n)
+        test_random_walk(RNG, graph, n)
     end
 end
 
@@ -43,7 +45,7 @@ function test_node_fusion(g::DAG)
     end
 end
 
-function test_random_walk(g::DAG, n::Int64)
+function test_random_walk(RNG, g::DAG, n::Int64)
     @testset "Test Random Walk ($n)" begin
         # the purpose here is to do "random" operations and reverse them again and validate that the graph stays the same and doesn't diverge
         reset_graph!(g)
@@ -54,18 +56,18 @@ function test_random_walk(g::DAG, n::Int64)
 
         for i in 1:n
             # choose push or pop
-            if rand(Bool)
+            if rand(RNG, Bool)
                 # push
                 opt = get_operations(g)
 
                 # choose one of fuse/split/reduce
-                option = rand(1:3)
+                option = rand(RNG, 1:3)
                 if option == 1 && !isempty(opt.nodeFusions)
-                    push_operation!(g, rand(collect(opt.nodeFusions)))
+                    push_operation!(g, rand(RNG, collect(opt.nodeFusions)))
                 elseif option == 2 && !isempty(opt.nodeReductions)
-                    push_operation!(g, rand(collect(opt.nodeReductions)))
+                    push_operation!(g, rand(RNG, collect(opt.nodeReductions)))
                 elseif option == 3 && !isempty(opt.nodeSplits)
-                    push_operation!(g, rand(collect(opt.nodeSplits)))
+                    push_operation!(g, rand(RNG, collect(opt.nodeSplits)))
                 else
                     i = i - 1
                 end

test/unit_tests_execution.jl

@@ -9,7 +9,7 @@ import MetagraphOptimization.ABCParticle
 import MetagraphOptimization.interaction_result
 
 const RTOL = sqrt(eps(Float64))
-RNG = Random.default_rng()
+RNG = Random.MersenneTwister(0)
 
 function check_particle_reverse_moment(p1::SFourMomentum, p2::SFourMomentum)
     @test isapprox(abs(p1.E), abs(p2.E))

test/unit_tests_optimization.jl

@@ -1,7 +1,7 @@
 using MetagraphOptimization
 using Random
 
-RNG = Random.default_rng()
+RNG = Random.MersenneTwister(0)
 
 graph = parse_dag(joinpath(@__DIR__, "..", "input", "AB->ABBB.txt"), ABCModel())
 

test/unit_tests_qedmodel.jl

@@ -15,7 +15,7 @@ import MetagraphOptimization.QED_vertex
 
 def_momentum = SFourMomentum(1.0, 0.0, 0.0, 0.0)
 
-RNG = Random.default_rng()
+RNG = Random.MersenneTwister(0)
 
 testparticleTypes = [
     PhotonStateful{Incoming, PolX},