content: # Run h264dec on a single file compiled with PRIOR_STATS and then run this script
  # Outputs timeseries plot at /tmp/misses.pdf
  import matplotlib.pyplot as plt
  from matplotlib.backends.backend_pdf import PdfPages
  import os
  
  def temporal_misses(key):
      values = data[key]
      numbins = 100
      binsize = len(values) // numbins
      bins = [[]]
      for v in values:
          if len(bins[-1]) >= binsize:
              bins.append([])
          bins[-1].append(v)
  
      x = range(len(bins))
      total_misses = float(sum(values))
      y = [100 * float(sum(b)) / total_misses for b in bins]
      return plt.plot(x, y, label=key)[0]
  
  paths = filter(lambda s: 'misses.log' in s, os.listdir('/tmp/'))
  data = {p.split('_misses.')[0]: map(lambda c: c == '0', open('/tmp/' + p).read()) for p in paths}
  handles = []
  plt.figure(figsize=(20,10))
  keys = data.keys()
  for k in keys:
      handles.append(temporal_misses(k))
  plt.axis((0, 100, 0, 2))
  plt.xlabel('temporal %')
  plt.ylabel('% total misses')
  plt.legend(handles, keys, bbox_to_anchor=(1, 1), bbox_transform=plt.gcf().transFigure)
  
  out = PdfPages('/tmp/misses.pdf')
  out.savefig()
  out.close()
  