thesis version

ctbenchmarks/plot

@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import os, sys
+sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
+
+import fileinput
+import numpy as np
+import matplotlib as mpl
+
+show = len(sys.argv) > 1 and sys.argv[1] == 'show'
+if not show:
+	mpl.use('pgf')
+
+import matplotlib.pyplot as plt
+import matplotlib.lines as lines
+from common import set_size, config_plt, get_colors, fix_log_rects
+
+config_plt()
+
+
+def toFloat(s):
+	return float(s.split(' ')[1].replace(',', '.'))
+
+
+def loadData(fn):
+	content = []
+
+	with open(fn) as f:
+		content = f.readlines()
+
+	values = {}
+	for line in content:
+		n, real, user, sys, _ = [x for x in line.split(':')]
+		time = toFloat(user) + toFloat(sys)
+		if not n in values:
+			values[n] = []
+		values[n].append(time);
+
+	if "5" in values:
+		values.pop("5")
+
+	return values
+
+
+def figCT(title, xlabel, xticks, output, datasrcs, legendOutside=False, error=False, log=False):
+	fig = plt.figure()
+
+	plt.title(title)
+	plt.xlabel(xlabel)
+	plt.ylabel(u"temps (s)")
+	plt.xticks(xticks)
+
+	if log:
+		plt.yscale('log')
+
+	nd = len(datasrcs)
+
+	width = 1.5
+	pos = .5-.5*nd
+	for f, label in datasrcs:
+		values = loadData(f)
+		barcolor, errcolor = get_colors(['dep/fixed', 'indep/fixed', 'dep/rand', 'indep/rand'], label)
+
+		for k, a in values.items():
+			x = int(k)
+			m = np.mean(a)
+			s = 2.5758 * np.std(a) / np.sqrt(len(a))
+
+			x = x + pos*width
+
+			bar = plt.bar(x, m, width=width, color=barcolor, label=label)
+			if log:
+				fix_log_rects(bar, 1e-4)
+			if error:
+				plt.errorbar(x, m, s, elinewidth=.8, capsize=1, ecolor=errcolor)
+			label=''
+
+		pos = pos + 1
+
+	bbox=(1, 1)
+	if not legendOutside:
+		bbox=(.38, 1)
+	plt.legend(bbox_to_anchor=bbox)
+
+	fig.set_size_inches(set_size(455.24408, .8))
+	if not show:
+		plt.savefig(output, format='pdf', bbox_inches='tight')
+	return plt
+
+
+# script
+plts = []
+
+plt = figCT(u"", u"nombre de boucles", [10, 20, 30, 40, 50, 60, 70, 80, 90, 100],
+		"plots/fixediv.pdf", [
+			['data/ct_fixediv_dep_fixedi', 'dep/fixed'],
+			['data/ct_fixediv_indep_fixedi', 'indep/fixed'],
+			['data/ct_fixediv_dep_randi', 'dep/rand'],
+			['data/ct_fixediv_indep_randi', 'indep/rand'],
+			],
+		legendOutside=True,
+		error=True
+		)
+plts.append(plt)
+
+plt = figCT(u"", u"nombre d'instructions", [10, 20, 30, 40, 50, 60, 70, 80, 90, 100],
+		"plots/fixedv.pdf", [
+			['data/ct_fixedv_dep_fixedi', 'dep/fixed'],
+			['data/ct_fixedv_indep_fixedi', 'indep/fixed'],
+			['data/ct_fixedv_dep_randi', 'dep/rand'],
+			['data/ct_fixedv_indep_randi', 'indep/rand'],
+			],
+		error=True,
+		log=True
+		)
+plts.append(plt)
+
+if show:
+	for plt in plts:
+		plt.show()