prefix/parseDat.py

   1 #!/usr/bin/env python2
   2
   3 import os, subprocess
   4
   5 def listtofile(listing, file):
   6         fd = open(file, 'r')
   7         for i in listing:
   8                 fd.write(i+"\n")
   9         fd.close()
  10
  11 def makeGraphs(graphs, graphtitle = "Title", xlabel = "Numbers calculated", ylabel = "Time needed for calculation"):
  12         gendir = "stats/generated/"
  13         subprocess.call(["mkdir", "-p", gendir])
  14         p = subprocess.Popen(['gnuplot'],stdout=subprocess.PIPE,stdin=subprocess.PIPE)
  15         # now do the plots
  16         for graphfile in graphs:
  17                 # set output 'filename'
  18                 p.stdin.write("set terminal png font arial 8 #size 600,300\n")
  19                 p.stdin.write("set grid\n")
  20                 p.stdin.write("set datafile separator ';'\n")
  21                 p.stdin.write("set title 'Timing of each "+graphtitle+"'\n")
  22                 p.stdin.write("set xlabel '"+xlabel+"'\n")
  23                 p.stdin.write("set ylabel '"+ylabel+"'\n")
  24                 p.stdin.write("set output '"+gendir+graphfile+"'\n")
  25                 # plot 'filename' using 1:2 title 'algorithm' with lines, 'filename2' using 1:2 title 'algo2' with lines
  26                 plots = []
  27                 for title, file, cols in graphs[graphfile]:
  28                         plots.append("'"+gendir+file+"' using "+cols+" title '"+title+"' with lines")
  29                 plotcommand = ", ".join(plots)
  30                 #print gendir+graphfile
  31                 p.stdin.write("plot "+plotcommand+"\n")
  32         p.communicate()[0]
  33         p.stdin.close()
  34
  35 statsdir = 'stats/raw/'
  36 runs = os.listdir(statsdir)
  37 #print runs
  38
  39 bigrunlist = []
  40 for i in runs:
  41         runfiles = os.listdir(statsdir+i)
  42 #       print runfiles
  43         for file in runfiles:
  44 #               print "File: %s%s/%s" % (statsdir, i, file)
  45                 splitfilename = file.replace('hillis_', 'hillis-').split('_')
  46                 splitfilename[1] = splitfilename[1].replace('hillis-', 'hillis_')
  47                 dict = {}
  48                 dict['scheduler'] = splitfilename[0]
  49                 dict['algo'] = splitfilename[1]
  50                 dict['n'] = int(splitfilename[2].lstrip('n'))
  51                 fd = open(statsdir+i+'/'+file, "r")
  52                 fd_text = fd.read()
  53                 fd.close()
  54                 fd_lines = fd_text.split("\n")
  55                 for line in fd_lines:
  56                         if line == "":
  57                                 continue
  58                         elements = line.split(" ")
  59                         for elem in elements:
  60                                 (key, value) = elem.split("=", 1)
  61                                 if key == 'binname':
  62                                         (_, prog) = value.split("/", 1)
  63                                         if prog != dict['algo']:
  64                                                 print "Failed: %s is not %s" % (prog, dict['algo'])
  65                                 elif key == 'size':
  66                                         size = int(value)
  67                                         if size != dict['n']:
  68                                                 print "Failed: %s is not %s" % (size, dict['n'])
  69                                 elif key == 'time':
  70                                         time = float(value)
  71                         dict['time'] = time
  72                         bigrunlist.append(dict)
  73
  74 algos = {}
  75 schedulers = {}
  76 ns = {}
  77 foolist = {}
  78 for i in bigrunlist:
  79         if not (i['algo'], i['scheduler'], i['n']) in foolist:
  80                 foolist[(i['algo'], i['scheduler'], i['n'])] = [i['time']]
  81         else:
  82                 foolist[(i['algo'], i['scheduler'], i['n'])].append(i['time'])
  83         if not i['algo'] in algos:
  84                 algos[i['algo']] = {}
  85         if not i['scheduler'] in schedulers:
  86                 schedulers[i['scheduler']] = {}
  87         if not i['n'] in ns:
  88                 ns[i['n']] = {}
  89 #print "Algos: %s" % algos
  90 #print "Schedulers: %s" % schedulers
  91 #print "Ns: %s" % ns
  92 uniquelist = []
  93 for key in foolist:
  94         minval = min(foolist[key])
  95         uniquelist.append((key[0], key[1], key[2], minval))
  96 uniquelist.sort()
  97 alg_dict = {}
  98 sched_dict = {}
  99 for i in uniquelist:
 100         if i[0] not in alg_dict:
 101                 alg_dict[i[0]] = {}
 102         if i[1] not in alg_dict[i[0]]:
 103                 alg_dict[i[0]][i[1]] = []
 104         alg_dict[i[0]][i[1]].append(str(i[2])+";"+str(i[3]))
 105         if i[1] not in sched_dict:
 106                 sched_dict[i[1]] = {}
 107         if i[0] not in sched_dict[i[1]]:
 108                 sched_dict[i[1]][i[0]] = []
 109         sched_dict[i[1]][i[0]].append(str(i[2])+";"+str(i[3]))
 110         #print "od["+i[0]+"]["+i[1]+"] = "+str(i[2])+":"+str(i[3])
 111
 112 graphs_alg = {}
 113 graphs_sched = {}
 114 gendir = "stats/generated/"
 115 subprocess.call(["mkdir", "-p", gendir])
 116 for alg in alg_dict:
 117         pngfile = 'algorithm.'+alg+'.png'
 118         graphs_alg[pngfile] = []
 119         for sched in alg_dict[alg]:
 120                 datfile = 'data.'+alg+'.'+sched+'.dat'
 121                 fh = open(gendir+datfile, 'a+')
 122                 graphs_alg[pngfile].append((sched, datfile, '1:2'))
 123                 for dot in alg_dict[alg][sched]:
 124                         fh.write(dot+"\n")
 125                 fh.close()
 126 for sched in sched_dict:
 127         pngfile = 'scheduler.'+sched+'.png'
 128         graphs_sched[pngfile] = []
 129         for alg in sched_dict[sched]:
 130                 datfile = 'data.'+alg+'.'+sched+'.dat'
 131                 graphs_sched[pngfile].append((alg, datfile, '1:2'))
 132
 133 #graphs['test1.png'] = [('linetitle1', 'prefix.hillis.dat', '1:2')]
 134
 135 makeGraphs(graphs_alg, "algorithm")
 136 makeGraphs(graphs_sched, "scheduler")