Ensure reproducibility

Author: fgittins

benchmarks/IntervalNonlinearProblem/Project.toml

@@ -1,13 +1,12 @@
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
 SciMLBenchmarks = "31c91b34-3c75-11e9-0341-95557aab0344"
 
 [compat]
 BenchmarkTools = "1"
 NonlinearSolve = "1, 2, 3, 4"
-Plots = "1.13"
 Roots = "2"
 SciMLBenchmarks = "0.1"

benchmarks/IntervalNonlinearProblem/simpleintervalrootfind.jmd

@@ -12,7 +12,9 @@ and thus can be assumed to be considered optimized from MATLAB's perspective. MA
 In comparison, Roots.jl:
 
 ```julia
-using Roots, BenchmarkTools
+using Roots, BenchmarkTools, Random
+
+Random.seed!(42)
 
 const N = 100_000;
 levels = 1.5 .* rand(N);