From ab6a62127469f9f14bc9bac27da1df189bc9b6f1 Mon Sep 17 00:00:00 2001 From: Christoph Egger Date: Sun, 24 Apr 2016 15:21:26 +0200 Subject: [PATCH] Add comparison Experiment --- cool.py | 76 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 76 insertions(+) diff --git a/cool.py b/cool.py index bab8482..0c90acf 100755 --- a/cool.py +++ b/cool.py @@ -4,14 +4,23 @@ from versuchung.experiment import Experiment from versuchung.archives import TarArchive, GitArchive from versuchung.files import Directory from versuchung.execute import shell, CommandFailed +from versuchung.files import CSV_File + +from matplotlib import pyplot as plt +import matplotlib import re import os +import glob import argparse def natural_key(string_): return [int(s) if s.isdigit() else s for s in re.split(r'(\d+)', string_)] +def parse_timedelta(strrep): + minutes, seconds = strrep.split(":") + return seconds + 60 * minutes + class SolverExperiment(Experiment): inputs = { 'formulas' : TarArchive() } @@ -104,6 +113,70 @@ class GMULExperiment(SolverExperiment): shell("timeout 1001 ./ctl tr --verbose < %s" % formula) +class ComparisonExperiment(Experiment): + outputs = { 'cool_data' : CSV_File('cool.csv'), + 'treetab_data' : CSV_File('treetab.csv'), + 'graphs' : Directory('graphs') + } + inputs = { 'cool' : CoolExperiment(), + 'treetab' : TreeTabExperiment() + } + + def folder_to_csv(self, folder, csv): + timings = sorted(glob.glob(os.path.join(folder, "shell_*_time")), key=natural_key) + for timing in timings: + with open(timing) as fd: + lines = fd.readlines() + command = list(filter(lambda x: "Command being timed" in x, lines))[0] + timeline = list(filter(lambda x: "Elapsed (wall clock) time" in x, lines))[0] + memoryline = list(filter(lambda x: "Maximum resident set size" in x, lines))[0] + + command = command.split(": ")[1] + command = command.split("<")[1].strip().strip('"') + formula = os.path.basename(command) + time = parse_timedelta(timeline.split(": ")[1].strip()) + memory = memoryline.split(": ")[1].strip() + csv.append([formula, time, memory]) + csv.flush() + + + def run(self): + self.folder_to_csv(self.inputs.cool.timing.path, self.outputs.cool_data) + self.folder_to_csv(self.inputs.treetab.timing.path, self.outputs.treetab_data) + + with self.outputs.graphs as path: + # Time + plt.title("Time spent: %s" % + os.path.basename(self.inputs.treetab.metadata['formulas'])) + plt.yscale('log') + plt.ylabel('time / s') + plt.xlabel('problem size') + plt.plot(range(1,21), + [x[1] for x in self.outputs.cool_data.value], + 'bo', label="cool") + plt.plot(range(1,21), + [x[1] for x in self.outputs.treetab_data.value], + 'gv', label="TreeTab") + plt.legend() + plt.savefig('time.svg', format='svg') + plt.close() + + # Memory + plt.title("Memory usage: %s" % + os.path.basename(self.inputs.treetab.metadata['formulas'])) + plt.yscale('log') + plt.ylabel('memory / kB') + plt.xlabel('problem size') + plt.plot(range(1,21), + [x[2] for x in self.outputs.cool_data.value], + 'bo', label="cool") + plt.plot(range(1,21), + [x[2] for x in self.outputs.treetab_data.value], + 'gv', label="TreeTab") + plt.legend() + plt.savefig('memory.svg', format='svg') + + if __name__ == "__main__": parser = argparse.ArgumentParser(description="CTL Experiment runnter", add_help=False) parser.add_argument("experiment", choices=['cool', 'treetab', 'gmul', 'comparison']) @@ -119,5 +192,8 @@ if __name__ == "__main__": elif local.experiment == 'gmul': experiment = GMULExperiment() + elif local.experiment == 'comparison': + experiment = ComparisonExperiment() + dirname = experiment(unknown) print(dirname) -- 2.39.5