using BenchmarkTools
using Random
using Distances, LinearAlgebra

const SUITE = BenchmarkGroup()

Random.seed!(1234)

dim = 50
N1 = 1000;
N2 = 500;
alpha = 2.0

X = rand(Float64, N1, dim)
Y = rand(Float64, N2, dim)

KXY = rand(Float64, N1, N2)
KX = rand(Float64, N1, N1)
sKX = Symmetric(rand(Float64, N1, N1))
kX = rand(Float64, N1)

include("kernelmatrix.jl")
include("MLKernels.jl")
