thesis version

plot/mkplot

@@ -0,0 +1,141 @@
+#!/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
+
+config_plt()
+
+
+def loadData(fn):
+	xs = []
+	ys = []
+	content = []
+
+	cst = 0
+	inf = 0
+	sup = 0
+
+	with open(fn) as f:
+		cst, inf, sup = [float(x) for x in f.readline().split(',')]
+		content = f.readlines()
+
+	for line in content:
+		tok = line.split(',')
+		xs.append(float(tok[0]))
+		ys.append(float(tok[1]))
+
+	return [[cst, inf, sup], xs, ys]
+
+
+def drawLine(plt, b, e, label, color):
+	x = np.arange(b, e, 1)
+	plt.plot(x, x, label=label, color=color);
+
+def drawHLine(plt, b, e, v, color):
+	x = np.arange(b, e, 1)
+	plt.plot(x, [v]*(e-b), color=color);
+
+def drawCloud(plt, data, label, color):
+	x, y = data
+	plt.scatter(x, y, label=label, s=3, linewidth=0)
+
+
+def figCores(n, lblA, lblB):
+	name = 'fig'+str(n)
+
+	fig = plt.figure()
+
+	data = loadData('plot_data/'+name+'a')
+	cst, inf, sup = data[0]
+
+	#  plt.title(u"nombre de cœurs fixe = " + str(int(cst)))
+	plt.xlabel(u'tâches')
+	plt.ylabel(u'PRNG')
+
+	drawLine(plt, inf, sup, u"sans optimisation", 'red')
+	drawCloud(plt, data[1:], lblA, 'blue')
+
+	data = loadData('plot_data/'+name+'b')
+	drawCloud(plt, data[1:], lblB, 'green')
+
+	fig.set_size_inches(set_size(455.24408, .8))
+
+	fig.legend()
+
+	if not show:
+		fig.savefig('plots/'+name+'.pdf', format='pdf', bbox_inches='tight')
+	return plt
+
+
+def figTasks(n):
+	name = 'fig'+str(n)
+
+	fig = plt.figure()
+	width = 3.487
+	height = width/1.618
+
+	data = loadData('plot_data/'+name+'a')
+	cst, inf, sup = data[0]
+
+	plt.title(u"nombre de tâches fixe = " + str(int(cst)))
+	plt.xlabel(u'cœurs')
+	plt.ylabel(u'PRNG')
+
+	drawCloud(plt, data[1:], 'equilibrated distribution', 'blue')
+
+	data = loadData('plot_data/'+name+'b')
+	drawCloud(plt, data[1:], 'greedy distribution', 'green')
+
+	fig.set_size_inches(set_size(455.24408, .8))
+
+	fig.legend()
+
+	if not show:
+		fig.savefig('plots/'+name+'.pdf', format='pdf', bbox_inches='tight')
+	return plt
+
+
+def fig1():
+	return figCores(1, u"politique d'exécution 1", u"politique d'exécution 2")
+
+def fig2():
+	return figCores(2, u"politique d'exécution 1", u"politique d'exécution 2")
+
+def fig3():
+	return figCores(3, u"$\mathbf{T} = \{1, 2, 3, 4, 5, 6, ..., 64\}$", u"$\mathbf{T} = \{1, 2, 4, 8, 16, 32, 64\}$")
+
+def fig4():
+	return figTasks(4)
+
+def fig5():
+	return figTasks(5)
+
+def fig6():
+	return figTasks(6)
+
+
+plts = []
+
+plts.append(fig1())
+plts.append(fig2())
+plts.append(fig3())
+plts.append(fig4())
+plts.append(fig5())
+plts.append(fig6())
+
+if show:
+	for plt in plts:
+		plt.show()