114 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
		
		
			
		
	
	
			114 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
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								#!/usr/bin/env python3
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								# -*- coding: utf-8 -*-
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								import os, sys
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								sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
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								import fileinput
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								import numpy as np
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								import matplotlib as mpl
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								show = len(sys.argv) > 1 and sys.argv[1] == 'show'
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								if not show:
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									mpl.use('pgf')
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								import matplotlib.pyplot as plt
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								import matplotlib.lines as lines
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								from common import set_size, config_plt, get_colors, fix_log_rects
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								config_plt()
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								def loadData(fn):
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									content = []
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									with open(fn) as f:
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										content = f.readlines()
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									values = {}
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									for line in content:
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										n, method, sample, ncores, strtime = [x for x in line.split(':')]
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										time = float(strtime)
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										if method != "seq":
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											time = time/float(ncores)
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										if not n in values:
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											values[n] = []
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										values[n].append(time);
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									return values
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								def figSize(title, xlabel, xticks, output, datasrcs, error=False):
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									fig = plt.figure()
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									plt.title(title)
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									plt.xlabel(xlabel)
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									plt.ylabel(u"temps (s)")
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									plt.xticks(xticks)
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									plt.xscale('log')
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									plt.yscale('log')
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									nd = len(datasrcs)
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									width = 3.5
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									pos = .5-.5*nd
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									for f, label in datasrcs:
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										values = loadData(f)
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										barcolor, errcolor = get_colors(['seq', 'omp', 'gen_omp', 'gen_thread'], label)
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										for k, a in values.items():
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											x = int(k)
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											m = np.mean(a)
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											s = 2.5758 * np.std(a) / np.sqrt(len(a))  # confiance 99 %
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											x = x * ((20+width)/(20-width))**pos
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											p = np.log10(x)
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											lwidth = width * 10**(p-1)
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											bar = plt.bar(x, m, width=lwidth, color=barcolor, label=label)
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											fix_log_rects(bar, 1e-4)
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											if error:
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												plt.errorbar(x, m, s, elinewidth=1.5, capsize=2, ecolor=errcolor)
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											label=''
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										pos = pos + 1
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									plt.legend(bbox_to_anchor=(.38, 1))
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									fig.set_size_inches(set_size(455.24408, .8))
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									if not show:
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										plt.savefig(output, format='pdf', bbox_inches='tight')
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									return plt
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								# script
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								plts = []
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								plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
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										"plots/rt_seq.pdf", [
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											['data_basic/rt_seq_seq', 'seq'],
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											['data_basic/rt_seq_gen_omp', 'gen_omp'],
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											['data_basic/rt_seq_gen_thread', 'gen_thread'],
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											],
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										error=True
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										)
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								plts.append(plt)
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								for cores in [1, 2, 4, 6, 8, 10, 12, 14, 16, 18]:
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									plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
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											"plots/rt_par_"+str(cores)+".pdf", [
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												['data_basic/rt_size_'+str(cores)+'_seq', 'seq'],
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												['data_basic/rt_size_'+str(cores)+'_omp', 'omp'],
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												['data_basic/rt_size_'+str(cores)+'_gen_omp', 'gen_omp'],
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												['data_basic/rt_size_'+str(cores)+'_gen_thread', 'gen_thread'],
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												],
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											error=True
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											)
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									plts.append(plt)
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								if show:
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									for plt in plts:
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										plt.show()
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