old_contents: 
  # MONOTONE
  
  # Produce a monotonically decreasing output plot from noisy data
  # Input:  columns: t x
  # Output: columns: t_i x_i , sampled such that x_i <= x_j
  #                            for j > i.
  
  from string import *
  import sys
  
  # Set PYTHONPATH=$PWD
  from plottools import *
  
  if len(sys.argv) != 3:
      abort("usage: <input file> <output file>")
  input_file  = sys.argv[1]
  output_file = sys.argv[2]
  
  val_loss_min = sys.float_info.max
  
  with open(input_file, "r")  as fp_i, \
       open(output_file, "w") as fp_o:
      for line in fp_i:
          (t, val_loss_string) = split(line)
          val_loss = float(val_loss_string)
          if val_loss < val_loss_min:
              val_loss_min = val_loss
              fp_o.write("%s, %f\n" % (t, val_loss_min))
      # Ensure the last data point is written for the plot:
      if val_loss >= val_loss_min:
          fp_o.write("%s, %f\n" % (t, val_loss_min))
  
new_contents: 
  # MONOTONE
  
  # Produce a monotonically decreasing output plot from noisy data
  # Input:  columns: t x
  # Output: columns: t_i x_i , sampled such that x_i <= x_j
  #                            for j > i.
  
  from string import *
  import sys
  
  # Set PYTHONPATH=$PWD
  from plottools import *
  
  if len(sys.argv) != 3:
      abort("usage: <input file> <output file>")
  input_file  = sys.argv[1]
  output_file = sys.argv[2]
  
  val_loss_min = sys.float_info.max
  
  with open(input_file, "r")  as fp_i, \
       open(output_file, "w") as fp_o:
      for line in fp_i:
          (t, val_loss_string) = split(line)
          val_loss = float(val_loss_string)
          if val_loss < val_loss_min:
              val_loss_min = val_loss
              fp_o.write("%s %f\n" % (t, val_loss_min))
      # Ensure the last data point is written for the plot:
      if val_loss >= val_loss_min:
          fp_o.write("%s %f\n" % (t, val_loss_min))
  
subject: Remove commas from output