74 lines
1.7 KiB
Julia

using MetagraphOptimization
using Plots
using Random
function gen_plot(filepath)
name = basename(filepath)
name, _ = splitext(name)
filepath = joinpath(@__DIR__, "../input/", filepath)
if !isfile(filepath)
println("File ", filepath, " does not exist, skipping")
return
end
g = parse_abc(filepath)
Random.seed!(1)
println("Random Walking... ")
x = Vector{Float64}()
y = Vector{Float64}()
for i in 1:30
print("\r", i)
# push
opt = get_operations(g)
# choose one of fuse/split/reduce
option = rand(1:3)
if option == 1 && !isempty(opt.nodeFusions)
push_operation!(g, rand(collect(opt.nodeFusions)))
println("NF")
elseif option == 2 && !isempty(opt.nodeReductions)
push_operation!(g, rand(collect(opt.nodeReductions)))
println("NR")
elseif option == 3 && !isempty(opt.nodeSplits)
push_operation!(g, rand(collect(opt.nodeSplits)))
println("NS")
else
i = i - 1
end
props = get_properties(g)
push!(x, props.data)
push!(y, props.computeEffort)
end
println("\rDone.")
plot(
[x[1], x[2]],
[y[1], y[2]],
linestyle = :solid,
linewidth = 1,
color = :red,
legend = false,
)
# Create lines connecting the reference point to each data point
for i in 3:length(x)
plot!(
[x[i - 1], x[i]],
[y[i - 1], y[i]],
linestyle = :solid,
linewidth = 1,
color = :red,
)
end
return gui()
end
gen_plot("AB->ABBB.txt")