plot-runtime-behaviour.py

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# This file is part of the ExaHyPE2 project. For conditions of distribution and
# use, please see the copyright notice at www.peano-framework.org
import os
import sys
import argparse
 
import matplotlib.pyplot as plt
 
import exahype2.postprocessing
 
 
if __name__ == "__main__":
  parser = argparse.ArgumentParser(description="""
ExaHyPE 2 runtime plotter:
 
Default plotter for various standard ExaHyPE dumps. The plotter examines
and illustrates the runtime per time step behaviour.
 
""")
  parser.add_argument("file", nargs="+",    help="Filename of the file to parse. You can specify multiple files.")
  parser.add_argument("-v",     "--verbose",     dest="verbose",    help="Increase output verbosity",   action="store_true", default=False )
  parser.add_argument("-log-y", "--log-ysaxis",  dest="log_yscale", help="Use log scale",   action="store_true", default=False )
  parser.add_argument("-t",     "--type",    dest="type",    help="Pick plot variant", choices=[
   "time-step-size-vs-time-step", "time-step-size-vs-real-time", "time-step-size-vs-simulated-time",
   "updates-vs-time-step", "updates-vs-real-time", "updates-vs-simulated-time",
   "runtime-vs-time-step", "runtime-vs-simulated-time"
  ], required=True  )
  parser.add_argument("-l",     "--label",   dest="label",   nargs="*", help="Label of dataset (optional; if used, you have to add --label/-l after the actual files and you have to embed the labels into hyphens)",  default="output"  )
  parser.add_argument("-o",     "--output",  dest="output",  help="Name of output file",         default="output"  )
  args = parser.parse_args()
 
  plt.clf()
  if args.log_yscale:
    plt.yscale( 'log' )
 
  for dataset in zip( args.file, args.label) :
    performance_data = exahype2.postprocessing.PerformanceData( file_name=dataset[0], verbose=args.verbose )
    if args.verbose:
      print( "start to postprocess data with " + args.type )
    if args.type == "time-step-size-vs-time-step":
      exahype2.postprocessing.plot_time_step_size_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.Iterations )
    elif args.type == "time-step-size-vs-real-time":
      exahype2.postprocessing.plot_time_step_size_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.RealTime )
    elif args.type == "time-step-size-vs-simulated-time":
      exahype2.postprocessing.plot_time_step_size_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.SimulatedTime )
    elif args.type == "updates-vs-time-step":
      exahype2.postprocessing.plot_updates_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.Iterations )
    elif args.type == "updates-vs-real-time":
      exahype2.postprocessing.plot_updates_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.RealTime )
    elif args.type == "updates-vs-simulated-time":
      exahype2.postprocessing.plot_updates_per_step( performance_data,dataset[1], exahype2.postprocessing.XAxis.SimulatedTime )
    elif args.type == "runtime-vs-time-step":
      exahype2.postprocessing.plot_runtime_per_step( performance_data,dataset[1] )
    elif args.type == "runtime-vs-simulated-time":
      exahype2.postprocessing.plot_runtime_against_simulated_time( performance_data,dataset[1] )
    else:
      raise Exception( "Type " + args.type + " not supported" )
    if args.verbose:
      print( "postprocessing finished" )
 
  if len(args.label)>0:
    plt.legend()
 
  if args.output=="output":
    print( "default file names output.pdf and output.png written. Change file name with -o or --output")
 
  plt.savefig( args.output + ".pdf" )
  plt.savefig( args.output + ".png" )