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169 lines
3.8 KiB
169 lines
3.8 KiB
#!/usr/bin/env ruby
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require 'yaml'
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def gmean(x, shift)
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sum=0.0
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x.each {|v| sum += Math.log(v+shift)}
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sum /= x.size
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Math.exp(sum)-shift
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end
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def mean(x)
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sum=0.0
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x.each {|v| sum += v}
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sum /= x.size
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end
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data = YAML::load(File.open("data/data.yaml"))
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n = 0
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exact_cuts = []
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exact_gaps = []
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exact_times = []
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greedy_cuts = []
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greedy_gaps = []
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greedy_times = []
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mir_cuts = []
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mir_gaps = []
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percut_times = []
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improv = []
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missing = []
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no_improvement = []
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mir_differs = []
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count = 1
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print("%4s " % "")
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print("%16s " % "instance")
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print("%9s " % "g-mir")
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print("%9s " % "g-infty")
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print("%9s " % "g-exact")
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print("%9s " % "improv")
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print("%9s " % "t-total")
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print("%9s " % "t-per-cut")
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print("%6s " % "n-cuts")
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print("\n")
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Dir[ARGV[0] + "*yaml"].sort.each do |f|
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yaml = YAML::load(File.open(f))
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instance = yaml['input-filename'].gsub("instances/", "").gsub(".pre.mps.gz", "")
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d = data[instance]
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obj_lp = yaml['obj-value'][0]
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obj_ip = d['ip']
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gap_pi = d[ARGV[1]]
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obj_mir = yaml['obj-value'][1]
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obj_greedy = yaml['obj-value'][2]
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gap_mir = (obj_mir - obj_lp) / (obj_ip - obj_lp) * 100
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gap_greedy = (obj_greedy - obj_lp) / (obj_ip - obj_lp) * 100
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#gap_pi = [gap_pi, gap_greedy].max
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improv_greedy = (gap_greedy - gap_mir) / (gap_pi - gap_mir) * 100
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improv_greedy = 0 if improv_greedy.abs < 0.01
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if (gap_mir - d['gmi']).abs > 1
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mir_differs.push([instance, gap_mir, d['gmi']])
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end
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begin
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time_percut = yaml['time-per-cut'][2] * 1000
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rescue NoMethodError
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time_percut = 0.0
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end
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percut_times.push(time_percut)
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mir_gaps.push(gap_mir)
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greedy_gaps.push(gap_greedy)
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exact_gaps.push(gap_pi)
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improv.push(improv_greedy)
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print("%4d " % count)
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print("%16s " % instance)
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print("%8.2f%% " % (gap_mir))
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print("%8.2f%% " % (gap_greedy))
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print("%8.2f%% " % (gap_pi))
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if (gap_pi - gap_mir).abs > 0.01
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print("%8.2f%% " % (improv_greedy))
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else
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print("%8s " % "---")
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end
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print("%6d:%02d " % [yaml['user-cpu-time'][2] / 60, yaml['user-cpu-time'][2] % 60])
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print("%6d ms " % (time_percut))
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print("%6d " % (yaml['added-cuts'][2]))
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print("\n")
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count += 1
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end
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mean_exact = mean(exact_gaps)
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mean_greedy = mean(greedy_gaps)
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mean_mir = mean(mir_gaps)
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#ncuts_exact = gmean(exact_cuts, 10)
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#ncuts_greedy = gmean(greedy_cuts, 10)
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#ncuts_mir = gmean(mir_cuts, 10)
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#
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#time_exact = gmean(exact_times, 5)
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#time_greedy = gmean(greedy_times, 5)
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#time_percut = gmean(percut_times, 5)
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#
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print("\n%22s" % "")
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print("%8.2f%% " % mean_mir)
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print("%8.2f%% " % mean_greedy)
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print("%8.2f%% " % mean_exact)
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#print("%8.1f%% " % mean(improv))
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#print(" %8d " % ncuts_mir)
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#print("%8d " % ncuts_greedy)
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#print("%8d " % ncuts_exact)
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#print("%4d:%02d " % [time_greedy / 60, time_greedy % 60])
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#print("%4d:%02d " % [time_exact / 60, time_exact % 60])
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#print(" %4.0f ms" % time_percut)
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print("\n")
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#print("%30s" % "")
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#print("%5.1f%% " % ((mean_greedy / mean_mir - 1) * 100))
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#print("%5.1f%% " % ((mean_exact / mean_mir - 1) * 100))
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#print("\n")
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print("%34s" % "")
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print("%6.2f%% " % ((mean_greedy - mean_mir) / (mean_exact - mean_mir) * 100))
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print("\n")
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if missing.size > 0
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print("Missing data:\n")
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missing.each do |m|
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print(" %s\n" % m)
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end
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end
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#if mir_differs.size > 0
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# print("MIR differs:\n")
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# mir_differs.each do |m|
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# print("%4d %16s %6.2f %6.2f\n" % [count, m[0], m[1], m[2]])
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# count += 1
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# end
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# print("\n")
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#end
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print("Disabled:\n")
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Dir["instances/off/*"].each do |f|
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print("%4d %16s\n" % [count, f.gsub("instances/off/", "").gsub(".pre.mps.gz", "")])
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count += 1
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end
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print("\n")
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print("Error:\n")
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Dir[ARGV[0] + "*.err*"].sort.each do |f|
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instance = f.gsub("greedy/", "").gsub(".pre.err.", " ").split(" ")
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print("%4d %-30s %4d\n" % [count, instance[0], instance[1]])
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count += 1
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end
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