def main(dirn, fname):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
index = 0
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),ydevsPerSolver.iteritems()) :
ax.errorbar(xs, ys, yerr=ydevs, label=solver, marker=mrkrs[index], linestyle=fmts[index])
index = index + 1
ax.set_xlabel(X_LABEL);
ax.set_ylabel(Y_LABEL);
ax.legend(loc='best', fancybox=True)
ax.get_yaxis().set_major_formatter(
matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x/1000000), ',')))
ax.get_xaxis().set_major_formatter(
matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x * 100), ',')))
pp.savefig(dirn+"/"+fname+".pdf")
pp.show()
def main(dirn, fname):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
ax.set_xscale("log", basex=2)
#ax.set_yscale("symlog" )
index = 0
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),
ydevsPerSolver.iteritems()):
ax.errorbar(xs,
ys,
yerr=ydevs,
label=solver,
marker=mrkrs[index],
linestyle=fmts[index])
index = index + 1
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(loc='best', fancybox=True)
pp.savefig(dirn + "/" + fname + ".pdf")
pp.show()
def main(dirn, fname):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
index = 0
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),
ydevsPerSolver.iteritems()):
ax.errorbar(xs,
ys,
yerr=ydevs,
label=solver,
marker=mrkrs[index],
linestyle=fmts[index])
index = index + 1
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(loc='best', fancybox=True)
# ax.get_yaxis().set_major_formatter(
# matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x/1000000), ',')))
ax.get_xaxis().set_major_formatter(
matplotlib.ticker.FuncFormatter(
lambda x, p: format(int(x * 100), ',')))
pp.savefig(dirn + "/" + fname + ".pdf")
pp.show()
def plot_resilience(paths_dir, out_file):
fig = pp.figure(figsize=(12,8))
ax = fig.add_subplot(111)
paths_file = dict()
resilience = dict()
rects = dict()
width = 0.9/len(algs)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
bar_width = 0.7
for alg in algs:
paths_file[alg] = paths_dir + '/' + alg + '_0'
for alg in algs:
mhs_vals = []
paths = parse_path_file(paths_file[alg])
for sd,sdpaths in paths.iteritems():
mhs = find_min_hitting_set([set(p) for p in sdpaths.keys()])
#print len(sdpaths), len(mhs)
mhs_vals.append(len(mhs)-1)
resilience[alg] = freq(mhs_vals)
t = [max(resilience[alg].keys()) for alg in algs]
xs = np.arange(max(t)+1)
i = 0
for alg in algs:
ys = []
for x in xs:
ys.append(np.sum([resilience[alg].get(X,0) for X in xs if X >= x]))
print alg, ys
rects[alg] = ax.bar(xs-0.5+i*width, ys, width, color=colors[alg],
edgecolor=None, alpha=0.8, zorder=1/np.mean(ys))
i = i+1
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
pp.xticks(range(len(algs)), [' ' for x in algs])
ax.locator_params(axis='y', nbins=6)
ax.set_ylabel('Number of f-resilient node pairs')
ax.set_xticklabels(xs)
ax.legend([rects[x] for x in algs],
[CommonConf.gen_label(x) for x in algs],
loc='best', borderaxespad=1., fancybox=True)
pp.xlim(0.5,2.5)
pp.tight_layout()
pp.savefig("resilience.pdf")
def main(dirn, fname):
blockSizes = []
localitiesPerApproach = OrderedDict()
with open(dirn + "/" + fname + ".dat") as fin:
lines = fin.readlines()
for line in lines:
if line.startswith("#"):
continue
(blockSize, approach, locality, nline) = re.split("[\t]", line)
blockSize = float(blockSize)
locality = float(locality)
if approach in localitiesPerApproach:
localitiesPerApproach[approach].append(locality)
else:
localitiesPerApproach[approach] = [locality]
if len(blockSizes) == 0 or blockSize > blockSizes[-1]:
blockSizes.append(blockSize)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
#ax.set_xscale("log", basex=2)
index = 0
for approach, localities in localitiesPerApproach.iteritems():
ax.plot(blockSizes,
localities,
label=approach,
marker=mrkrs[index],
linestyle=fmts[index])
index = index + 1
ax.set_xlabel('block size (bytes)')
ax.set_ylabel('locality')
# ax.set_xlim(0, 2100)
ax.legend(loc='best', fancybox=True)
pp.savefig(dirn + "/" + fname + ".pdf")
pp.show()
def plot_pdf(pdfs, budget, out_file):
CommonConf.setupMPPDefaults()
fig, axes = pp.subplots(2, len(solvers)/2, sharex=True, sharey=True,
figsize=(12,6))
colors=CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
xs = np.asarray([float(i+1)/budget for i in range(budget)])
width = 1.
print xs
axeslist = []
print axes
for ax in axes:
print ax
axeslist = axeslist + list(ax)
for ax,solver in zip(axeslist, sorted(solvers)):
zorder = 1
pdf = pdfs[solver]
print solver, pdf
ys = []
for x in xs:
y = sum([pdf[k] for k in pdf.keys() if k <= (x+0.001) and k >=
(x-0.24)]) #(k > (x-min_x)
ys.append(y)
print sum(ys)
print ys
ax.bar(np.arange(len(xs))-0.5, ys, width,
alpha=1.0,
color=[colors[solver]]*len(xs),
edgecolor='white',#[colors[solver]]*len(xs),
label=CommonConf.gen_label(solver),
linewidth=0,#linewidth[solver],
linestyle='solid',
#marker=mrkrs[solver],
#markersize=mrkrsize[solver],
zorder=1/np.mean(ys))
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
ax.locator_params(axis='x', nbins=4)
ax.locator_params(axis='y', nbins=4)
ax.set_xlabel("Risk");
ax.set_ylabel("Probability");
ax.legend(loc='best', borderaxespad=0., fancybox=True, ncol=3)
pp.locator_params(axis='x', nbins=6)
pp.xticks(np.arange(len(xs)), xs)
pp.xlim(-0.5,3.5)
pp.tight_layout(pad=0)
pp.savefig("tmp.pdf")
def main(dirn, fname, solvers):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
index = 0
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),ydevsPerSolver.iteritems()) :
ax.errorbar(xs, ys, yerr=ydevs, label=solver, marker=mrkrs[index], linestyle=fmts[index])
index = index + 1
ax.set_xlabel(X_LABEL);
ax.set_ylabel(Y_LABEL);
ax.legend(loc='best', fancybox=True)
pp.savefig(dirn+"/"+fname+"-".join(solvers)+".svg")
def main(dirn, fname):
blockSizes = []
localitiesPerApproach = OrderedDict()
with open(dirn+"/"+fname+".dat") as fin:
lines = fin.readlines()
for line in lines:
if line.startswith("#"):
continue
(blockSize, approach, locality, nline) = re.split("[\t]", line)
blockSize = float(blockSize)
locality = float(locality)
if approach in localitiesPerApproach:
localitiesPerApproach[approach].append(locality)
else:
localitiesPerApproach[approach] = [locality]
if len(blockSizes) == 0 or blockSize > blockSizes[-1]:
blockSizes.append(blockSize)
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormats()
mrkrs = CommonConf.getLineMarkers()
fig = pp.figure()
ax = fig.add_subplot(111)
#ax.set_xscale("log", basex=2)
index = 0
for approach, localities in localitiesPerApproach.iteritems():
ax.plot(blockSizes, localities, label=approach,
marker=mrkrs[index], linestyle=fmts[index])
index = index + 1
ax.set_xlabel('block size (bytes)');
ax.set_ylabel('locality');
# ax.set_xlim(0, 2100)
ax.legend(loc='best', fancybox=True)
pp.savefig(dirn+"/"+fname+".pdf")
pp.show()
def main(dirn, fname, solvers):
(xs, ysPerSolver,
ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(8, 6))
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
#xs.append(max(xs)+2)
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),
ydevsPerSolver.iteritems()):
if solver not in CommonConf.solver_list:
continue
xs_arr = np.asarray(xs)
xs_arr = xs_arr + random.random() / 2
xs_arr[-1] += random.random() * 2
avg_y, std_y = np.mean(np.asarray(ys)), np.std(np.asarray(ys))
#ys.append(avg_y)
#ydevs.append(std_y)
ax.errorbar(xs_arr[1:NUMTM],
ys[1:NUMTM],
yerr=ydevs[1:NUMTM],
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.xaxis.set_ticks_position('none')
ax.yaxis.set_ticks_position('none')
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
#ax.set_yscale("log", nonposy='clip')
ax.legend(loc='best', borderaxespad=0., fancybox=True, ncol=3)
pp.subplots_adjust(left=0.12, right=0.95, top=0.9, bottom=0.12)
pp.xlim(0, NUMTM)
pp.savefig(dirn + "/" + fname + "-".join(solvers) + ".pdf")
def main(dirn, fname, solvers):
(xs, ysPerSolver,
ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
index = 0
#xs.append(max(xs)+2)
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),
ydevsPerSolver.iteritems()):
xs_arr = np.asarray(xs)
xs_arr = xs_arr + random.random() / 10
ax.errorbar(xs_arr,
ys,
yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(loc=0, borderaxespad=1., fancybox=True)
ymin, ymax = pp.ylim()
pp.ylim(0.5, 1.05)
xa = ax.get_xaxis()
xa.set_major_locator(pylab.MaxNLocator(integer=True))
#ax.annotate('link (s2-s12) fails', xy=(1.8, 0.54), xytext=(0.95, 0.6),
# arrowprops=dict(facecolor='black', shrink=0.05), fontsize=14
# )
#pp.axvline(1.8, linestyle='dashed' )
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
#pp.savefig(dirn+"/"+fname+"-".join(solvers)+".pdf")
pp.savefig(dirn + "/" + fname + "-".join(solvers) + ".svg")
def display(all_congestions, directory):
sort_cong = OrderedDict()
for scheme in sorted(all_congestions.keys()):
sort_cong[scheme] = get_scheme_congestions(all_congestions, scheme)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
mxl = 0
num_sample = 20
for solver, cong_dist in sort_cong.iteritems():
ys = [x / len(cong_dist) for x in range(0, len(cong_dist))]
gap = int(len(ys) / num_sample) + 1
xx = []
yy = []
for i in range(0, len(ys)):
if (i % gap == 0):
xx.append(cong_dist[i])
yy.append(ys[i])
if (len(ys) - 1) % gap != 0:
xx.append(cong_dist[-1])
yy.append(ys[-1])
ydevs = [0] * len(yy)
ax.errorbar(xx,
yy,
yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(bbox_to_anchor=(1., 1.), loc=2, borderaxespad=1., fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.ylim(0.2, 1.01)
pp.savefig(directory + "/CongestionCDF.svg")
def display (all_congestions, directory):
sort_cong = OrderedDict()
for scheme in sorted(all_congestions.keys()):
sort_cong[scheme] = get_scheme_congestions(all_congestions, scheme)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12,6))
ax = fig.add_subplot(111)
mxl = 0
num_sample=20
for solver, cong_dist in sort_cong.iteritems():
ys = [x/len(cong_dist) for x in range(0, len(cong_dist))]
gap=int(len(ys)/num_sample)+1
xx=[]
yy=[]
for i in range(0,len(ys)):
if (i%gap==0):
xx.append(cong_dist[i])
yy.append(ys[i])
if (len(ys)-1)%gap!=0:
xx.append(cong_dist[-1])
yy.append(ys[-1])
ydevs = [0] * len(yy)
ax.errorbar(xx, yy, yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(bbox_to_anchor=(1., 1.), loc=2, borderaxespad=1., fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.ylim(0.2,1.01)
pp.savefig(directory+"/CongestionCDF.svg")
def main(dirn, fname, solvers):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12,6))
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
index = 0
#xs.append(max(xs)+2)
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),ydevsPerSolver.iteritems()) :
xs_arr = np.asarray(xs)
xs_arr = xs_arr + random.random()/10
ax.errorbar(xs_arr, ys, yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL);
ax.set_ylabel(Y_LABEL);
ax.legend(loc=0, borderaxespad=1., fancybox=True)
ymin, ymax = pp.ylim()
pp.ylim(0.5,1.05)
xa = ax.get_xaxis()
xa.set_major_locator(pylab.MaxNLocator(integer=True))
#ax.annotate('link (s2-s12) fails', xy=(1.8, 0.54), xytext=(0.95, 0.6),
# arrowprops=dict(facecolor='black', shrink=0.05), fontsize=14
# )
#pp.axvline(1.8, linestyle='dashed' )
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
#pp.savefig(dirn+"/"+fname+"-".join(solvers)+".pdf")
pp.savefig(dirn+"/"+fname+"-".join(solvers)+".svg")
def main(dirn, fname, solvers):
(xs, ysPerSolver, ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
xs.append(max(xs) + 2)
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(), ydevsPerSolver.iteritems()):
xs_arr = np.asarray(xs)
xs_arr = xs_arr + random.random() / 2
xs_arr[-1] += random.random() * 2
avg_y, std_y = np.mean(np.asarray(ys)), np.std(np.asarray(ys))
ys.append(avg_y)
ydevs.append(std_y)
ax.errorbar(
xs_arr,
ys,
yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver],
)
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(bbox_to_anchor=(1.0, 1.0), loc=2, borderaxespad=1.0, fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.savefig(dirn + "/" + fname + "-".join(solvers) + ".svg")
def main(dirn, fname, solvers):
(xs, ysPerSolver,
ydevsPerSolver) = CommonViz.parseData(dirn, fname, solvers)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
# ax.set_xscale("log", basex=2)
xs.append(max(xs) + 2)
for (solver, ys), (solver, ydevs) in zip(ysPerSolver.iteritems(),
ydevsPerSolver.iteritems()):
xs_arr = np.asarray(xs)
xs_arr = xs_arr + random.random() / 2
xs_arr[-1] += random.random() * 2
avg_y, std_y = np.mean(np.asarray(ys)), np.std(np.asarray(ys))
ys.append(avg_y)
ydevs.append(std_y)
ax.errorbar(xs_arr,
ys,
yerr=ydevs,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linestyle=fmts[solver],
linewidth=linewidth[solver],
marker=mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(bbox_to_anchor=(1., 1.), loc=2, borderaxespad=1., fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.savefig(dirn + "/" + fname + "-".join(solvers) + ".svg")
def display (all_latencies, directory): # all_latencies : solver -> #tm(0-23) -> path_len -> frac_traffic
scheme_latency_dist = OrderedDict() # solver -> path_length -> (frac_tput_mean, frac_tput_std)
for solver in all_latencies.keys():
lat_percentile = get_latency_percentile(all_latencies, solver)
scheme_latency_dist[solver] = lat_percentile
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormatsDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
mrkrlw = CommonConf.getLineMarkersLWDict()
colors = CommonConf.getLineColorsDict()
fig = pp.figure(figsize=(6,5))
ax = fig.add_subplot(111)
max_lat = 0
for solver, latencies in scheme_latency_dist.iteritems():
max_lat = max(max_lat, max(latencies.keys()))
gap=1
for solver, latencies in scheme_latency_dist.iteritems():
xs = []
xsall = sorted(latencies.keys())
for i in range(0,len(xsall)):
if (i%gap==0):
xs.append(xsall[i])
if (len(xsall)-1)%gap!=0:
xs.append(xsall[-1])
ys = [latencies[lat][0] for lat in xs]
ydevs = [latencies[lat][1] for lat in xs]
ax.plot((xs[-1], max_lat), (ys[-1], ys[-1]), linestyle=':',
marker=mrkrs[solver],
color=colors[solver],
markersize=mrkrsize[solver],
markerfacecolor='none',
markeredgecolor=colors[solver],
markeredgewidth=mrkrsize[solver]/4,
linewidth=mrkrlw[solver])
new_xs = np.linspace(min(xs), max(xs), (max(xs)-min(xs))*3+1)
print new_xs
yinterp = pchip(xs, ys)
ydevsinterp = pchip(xs, ydevs)
new_ys = yinterp(new_xs)
new_ydevs = ydevsinterp(new_xs)
ax.errorbar(new_xs, new_ys, yerr=new_ydevs,
label=CommonConf.gen_label(solver), marker=mrkrs[solver],
linestyle=fmts[solver],
color=colors[solver],
markersize=mrkrsize[solver],
markerfacecolor='none',
markeredgecolor=colors[solver],
markeredgewidth=mrkrsize[solver]/4,
markevery=len(new_xs)/4,
errorevery=len(new_xs)/4,
linewidth=mrkrlw[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
ax.legend(loc='best', borderaxespad=1., fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.ylim(0.0,1.05)
xmin,xmax = ax.get_xlim()
xmax = (xmax + (xmax%2))
pp.xlim(3, xmax)
pp.tight_layout()
pp.savefig(directory+"/LatencyCDF.svg")
def plotfigure(metric_name,dotfile):
curf="expData";
todofolder=[f for f in listdir(curf) if op.isdir(op.join(curf, f)) & ("prediction_"+dotfile in f) ]
mydict={}
curname=0;
totiter=0
xx=[]
for folder in todofolder:
xx.append(100*float(folder[len("prediction_"+dotfile):]))
curname += 1
picked_file=[f for f in listdir(op.join(curf,folder)) if op.isfile(op.join(curf,folder, f)) & (metric_name+'.dat' in f) & (not 'swp' in f)]
if (len(picked_file)>1):
assert(False)
picked_file=picked_file[0]
f=open(op.join(curf,folder,picked_file))
for line in f.readlines():
if "solver" in line:
continue
words=line.split("\t")
if (len(words)<4):
continue
if (not words[0] in mydict):
mydict[words[0]]=[[] for i in range(len(todofolder))]
if (int(words[1])>totiter):
totiter=int(words[1])
mydict[words[0]][curname-1].append(float(words[2]))
mean_list={}
var_list={}
for alg in mydict:
mean_list[alg]=OrderedDict()
var_list[alg]=OrderedDict()
i=0
for all_num in mydict[alg]:
mean_list[alg][xx[i]]=numpy.mean(numpy.array(all_num), axis=0)
var_list [alg][xx[i]]=numpy.std(numpy.array(all_num), axis=0)
i+=1
totiter+= 1
fig=pp.figure(figsize=(18,9))
dotted=0
m=CommonConf.getLineMarkers()
linest=CommonConf.getLineFormats()
colors=CommonConf.getLineColors()
for alg in sorted(mydict):
print(alg,':')
for key in sorted(mean_list[alg]):
print(key,mean_list[alg][key])
ml=[]
kl=[]
vl=[]
for key in sorted(mean_list[alg]):
kl.append(key)
ml.append(mean_list[alg][key])
vl.append(var_list[alg][key])
xs=np.asarray(kl)+random.random()*5
pp.errorbar(xs,ml,vl,label=alg, linestyle=linest[dotted], marker=m[dotted],color=colors[dotted])
dotted+=1
x1,x2,y1,y2 = pp.axis()
pp.axis((x1,x2+0.1,y1,y2+0.05))
pp.legend(loc='best',prop={'size':14},bbox_to_anchor=(1.02, 1))
pp.tight_layout(pad=20)
pp.xlabel('Random perturbation %')
pp.ylabel(metric_name)
pp.savefig("expData/prediction_"+dotfile+"_"+metric_name+".svg")
#pp.show()
pp.close(fig)
def plot_latency(rtt_file, paths_dir, out_file, rtt_hop):
paths_file = dict()
for alg in algs:
paths_file[alg] = paths_dir + '/' + alg + '_0'
rtts = parse_rtt_file(rtt_file)
alg_sd_wtrtt = defaultdict(dict) # alg -> sd -> weighted_rtt
for alg in algs:
paths = parse_path_file(paths_file[alg])
for sd, sdpaths in paths.iteritems():
weighted_rtts = 0
for path, weight in sdpaths.iteritems():
path_rtt = 0
if rtt_hop == 'rtt':
for link in path:
path_rtt += rtts.get(link, 0)
else:
path_rtt = len(path) - 2
weighted_rtts += weight * path_rtt
alg_sd_wtrtt[alg][sd] = weighted_rtts
# sort hosts by ecmp weighted RTT
sorted_sd = sorted(alg_sd_wtrtt['ecmp'].items(),
key=operator.itemgetter(1))
sorted_sd = [x[0] for x in sorted_sd]
alg_sorted_lats = dict(
) # alg -> list of latencies sorted by ecmp distance
for alg in algs:
if alg == BASE:
alg_sorted_lats[alg] = [alg_sd_wtrtt[BASE][sd] for sd in sorted_sd]
else:
alg_sorted_lats[alg] = [
(alg_sd_wtrtt[alg][sd] - 0 * alg_sd_wtrtt[BASE][sd])
for sd in sorted_sd
]
setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
for solver in algs:
fig = pp.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
#if solver == BASE:
# continue
ys = alg_sorted_lats[solver]
print solver
if solver == 'ecmp' or solver == 'edksp':
markeredgecolor = colors[solver]
else:
markeredgecolor = 'None'
ax.plot(
#alg_sorted_lats[BASE],
ys,
alpha=0.5,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle='None',
markevery=1,
markeredgecolor=markeredgecolor,
markeredgewidth=mrkrsize[solver] / 4,
marker=mrkrs[solver],
markersize=mrkrsize[solver] * 1.5)
ax.set_xlabel("Node Pairs")
if rtt_hop == 'rtt':
ax.set_ylabel("RTT (ms)")
else:
ax.set_ylabel("hop count")
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
ax.xaxis.set_ticks([])
# handles, labels = ax.get_legend_handles_labels()
# # or sort them by labels
# hl = sorted(zip(handles, labels), key=operator.itemgetter(1))
# hl = hl[1:5]+[hl[0]]+[hl[5]] # Put racke in correct position
# handles2, labels2 = zip(*hl)
# ax.legend(handles2, labels2, loc='best', borderaxespad=0., fancybox=True, ncol=3)
pp.locator_params(nbins=4)
pp.tight_layout(pad=0)
pp.savefig(out_file.split('.')[0] + solver + '.pdf')
if title:
network_title = ax.text(
0.98,
0.98,
G.graph['Network'],
horizontalalignment='right',
#weight='heavy',
fontsize=16,
color=title_color,
verticalalignment='top',
transform=ax.transAxes)
if options.showalg:
ax.text(0.02,
0.02,
CommonConf.gen_label(solver),
style='normal',
horizontalalignment='left',
fontsize=max(label_font_size, 16),
color=title_color,
verticalalignment='top',
transform=ax.transAxes)
# Show colorbar for edge color encoding
if options.link_util:
a = np.array([[0, max_scale]])
im = plt.imshow(a, cmap=cm.rainbow)
ax = plt.gca()
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="2%", pad=0.02)
plt.colorbar(im, cax=cax)
def plotfigure(metric_name, dotfile, mode):
curf = "expData"
todofolder = [
f for f in listdir(curf)
if op.isdir(op.join(curf, f)) & ("burst_" + mode + "_" + dotfile in f)
]
mydict = {}
curname = 0
totiter = 0
xx = []
for folder in todofolder:
print(folder)
xx.append(100 * float(folder[folder.rfind('_') + 1:]))
curname += 1
picked_file = [
f for f in listdir(op.join(curf, folder))
if op.isfile(op.join(curf, folder, f))
& (metric_name + '.dat' in f) & (not 'swp' in f)
]
if (len(picked_file) > 1):
assert (False)
picked_file = picked_file[0]
f = open(op.join(curf, folder, picked_file))
for line in f.readlines():
if "solver" in line:
continue
words = line.split("\t")
if (len(words) < 4):
continue
if (not words[0] in mydict):
mydict[words[0]] = [[] for i in range(len(todofolder))]
if (int(words[1]) > totiter):
totiter = int(words[1])
mydict[words[0]][curname - 1].append(float(words[2]))
mean_list = {}
var_list = {}
for alg in mydict:
mean_list[alg] = OrderedDict()
var_list[alg] = OrderedDict()
i = 0
for all_num in mydict[alg]:
#mean_list[alg][xx[i]]=numpy.mean(numpy.array(all_num), axis=0)
#var_list [alg][xx[i]]=numpy.std(numpy.array(all_num), axis=0)
mean_list[alg][xx[i]] = all_num[flash_time]
var_list[alg][xx[i]] = 0
i += 1
totiter += 1
fig = pp.figure(figsize=(18, 9))
dotted = 0
m = CommonConf.getLineMarkers()
linest = CommonConf.getLineFormats()
colors = CommonConf.getLineColors()
for alg in sorted(mydict):
print(alg, ':')
for key in sorted(mean_list[alg]):
print(key, mean_list[alg][key])
ml = []
kl = []
vl = []
for key in sorted(mean_list[alg]):
kl.append(key)
ml.append(mean_list[alg][key])
vl.append(var_list[alg][key])
xs = np.asarray(kl) + random.random() * 3
pp.errorbar(xs,
ml,
vl,
label=alg,
linestyle=linest[dotted],
marker=m[dotted],
color=colors[dotted])
dotted += 1
x1, x2, y1, y2 = pp.axis()
pp.axis((x1, x2 + 0.1, y1, y2 + 0.05))
pp.legend(loc='best', prop={'size': 14}, bbox_to_anchor=(1.02, 1))
pp.tight_layout(pad=20)
pp.xlabel('Burst amount')
pp.ylabel(metric_name)
pp.savefig("expData/burst_" + dotfile + "_" + metric_name + ".svg")
pp.close(fig)
def display(
all_latencies, directory
): # all_latencies : solver -> #tm(0-23) -> path_len -> frac_traffic
scheme_latency_dist = OrderedDict(
) # solver -> path_length -> (frac_tput_mean, frac_tput_std)
for solver in all_latencies.keys():
lat_percentile = get_latency_percentile(all_latencies, solver)
scheme_latency_dist[solver] = lat_percentile
CommonConf.setupMPPDefaults()
fmts = CommonConf.getLineFormatsDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
mrkrlw = CommonConf.getLineMarkersLWDict()
colors = CommonConf.getLineColorsDict()
fig = pp.figure(figsize=(9, 6))
ax = fig.add_subplot(111)
max_lat = 0
for solver, latencies in scheme_latency_dist.iteritems():
max_lat = max(max_lat, max(latencies.keys()))
gap = 1
for solver, latencies in scheme_latency_dist.iteritems():
if solver not in solver_list:
continue
xs = []
xsall = sorted(latencies.keys())
for i in range(0, len(xsall)):
if (i % gap == 0):
xs.append(xsall[i])
if (len(xsall) - 1) % gap != 0:
xs.append(xsall[-1])
ys = [latencies[lat][0] for lat in xs]
ydevs = [latencies[lat][1] for lat in xs]
# ax.plot((xs[-1], max_lat), (ys[-1], ys[-1]), linestyle=':',
# marker=mrkrs[solver],
# color=colors[solver],
# markersize=mrkrsize[solver],
# markerfacecolor='none',
# markeredgecolor=colors[solver],
# markeredgewidth=mrkrsize[solver]/4,
# linewidth=mrkrlw[solver])
new_xs = np.linspace(min(xs), max(xs), (max(xs) - min(xs)) * 3 + 1)
print new_xs
yinterp = pchip(xs, ys)
ydevsinterp = pchip(xs, ydevs)
new_ys = yinterp(new_xs)
new_ydevs = ydevsinterp(new_xs)
ax.errorbar(
new_xs,
new_ys, # yerr=new_ydevs,
label=CommonConf.gen_label(solver), # marker=mrkrs[solver],
linestyle=fmts[solver],
color=colors[solver],
markersize=mrkrsize[solver],
markerfacecolor='none',
markeredgecolor=colors[solver],
markeredgewidth=mrkrsize[solver] / 4,
markevery=None, # len(new_xs)/20,
errorevery=len(new_xs) / 20,
linewidth=mrkrlw[solver])
ax.fill_between(new_xs,
new_ys - new_ydevs,
new_ys + new_ydevs,
facecolor=colors[solver],
alpha=0.3,
interpolate=True,
edgecolor=colors[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
ax.legend(loc='best', borderaxespad=0., fancybox=True)
pp.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
pp.ylim(0.0, 1.05)
xmin, xmax = ax.get_xlim()
xmax = (xmax + (xmax % 2))
pp.xlim(3, 350)
pp.tight_layout(pad=0)
pp.savefig(directory + "/LatencyCDF.pdf")
#sqlquery
demografia_all = sql.demografia_all()
domeny = sql.domeny(poczatek, koniec)
smsy = sql.smsy(poczatek, koniec)
kategorie_app = sql.kategorie_app(poczatek, koniec)
polaczenia = sql.polaczenie(poczatek, koniec)
wybrane_app = sql.wybrane_app(poczatek, koniec)
domeny_2 = sql.domeny(poczatek_2, koniec_2)
smsy_2 = sql.smsy(poczatek_2, koniec_2)
kategorie_app_2 = sql.kategorie_app(poczatek_2, koniec_2)
polaczenia_2 = sql.polaczenie(poczatek_2, koniec_2)
wybrane_app_2 = sql.wybrane_app(poczatek_2, koniec_2)
#pobieranie danych
cm.executeAndSaveIdList(os + 'data_raw/id_list.csv',demografia_all,['dve_id;dve_usr_id'])
print('---Data saved to ..data_raw/id_list.csv')
cm.executeAndSaveDemografy(os + 'data_raw/demografia/demografia_all.csv',demografia_all,['dve_id','dve_usr_id','Zaznacz_swoją_płeć','Określ_swoje_wykszałcenie','Wskaż_wielkość_miejscowości','Wiek'])
print('---Data saved to ..data_raw/demografia/demografia_all.csv')
cm.executeAndSave(os + 'data_raw/domeny/domeny'+ '_'+ poczatek+ '.csv',domeny, ['dve_id;wbhh_hourperiod;wdmn_domain;wywolan;unikalni_uzytkownicy'])
cm.executeAndSave(os + 'data_raw/domeny/domeny'+ '_'+ poczatek_2+ '.csv',domeny_2, ['dve_id;wbhh_hourperiod;wdmn_domain;wywolan;unikalni_uzytkownicy'])
print('---Data saved to ...data_raw/domeny/domeny.csv')
cm.executeAndSave(os + 'data_raw/kategorie_app/kategorie_app'+ '_'+ poczatek+ '.csv', kategorie_app, ['aprh_hourperiod;dve_id;appc_catname;czas'])
cm.executeAndSave(os + 'data_raw/kategorie_app/kategorie_app'+ '_'+ poczatek_2+ '.csv', kategorie_app_2, ['aprh_hourperiod;dve_id;appc_catname;czas'])
print('---Data saved to ...data_raw/kategorie_app/kategorie_app.csv')
cm.executeAndSave(os + 'data_raw/polaczenia/polaczenia'+ '_'+ poczatek+ '.csv', polaczenia, ['dve_id;calh_hourperiod;call-przychodzace-czas;call-wychodzace-czas'])
cm.executeAndSave(os + 'data_raw/polaczenia/polaczenia'+ '_'+ poczatek_2+ '.csv', polaczenia_2, ['dve_id;calh_hourperiod;call-przychodzace-czas;call-wychodzace-czas'])
print('---Data saved to ...data_raw/polaczenia/polaczenia.csv')
cm.executeAndSave(os + 'data_raw/smsy/smsy'+ '_'+ poczatek+ '.csv',smsy,['dve_id;smsh_hourperiod;sms-dlugosc-odebrane;sms-dlugosc-wyslane'])
cm.executeAndSave(os + 'data_raw/smsy/smsy'+ '_'+ poczatek_2+ '.csv',smsy_2,['dve_id;smsh_hourperiod;sms-dlugosc-odebrane;sms-dlugosc-wyslane'])
print('---Data saved to ...data_raw/smsy/smsy.csv')
def display(all_congestions, snapshot, directory, outfile):
sort_cong = OrderedDict()
for scheme in sorted(all_congestions.keys()):
sort_cong[scheme] = get_scheme_congestions(all_congestions, snapshot,
scheme)
CommonConf.setupMPPDefaults()
colors = CommonConf.getLineColorsDict()
fmts = CommonConf.getLineFormatsDict()
linewidth = CommonConf.getLineMarkersLWDict()
mrkrs = CommonConf.getLineMarkersDict()
mrkrsize = CommonConf.getLineMarkersSizeDict()
fig = pp.figure(figsize=(9, 6))
ax = fig.add_subplot(111)
mxl = 0
num_sample = 1000
for solver, cong_dist in sort_cong.iteritems():
if solver not in CommonConf.solver_list:
continue
ys = [x / len(cong_dist) for x in range(0, len(cong_dist))]
gap = int(len(ys) / num_sample) + 1
xx = []
yy = []
for i in range(0, len(ys)):
if (i % gap == 0):
xx.append(cong_dist[i])
yy.append(1 - ys[i])
if (len(ys) - 1) % gap != 0:
xx.append(cong_dist[-1])
yy.append(1 - ys[-1])
ydevs = [0] * len(yy)
#ax.errorbar(xx, yy, yerr=ydevs,
# alpha=0.8,
# color=colors[solver],
# label=CommonConf.gen_label(solver),
# linewidth=linewidth[solver],
# linestyle=fmts[solver],
# marker=None,#mrkrs[solver],
# markersize=mrkrsize[solver])
ax.plot(
xx,
yy,
alpha=0.8,
color=colors[solver],
label=CommonConf.gen_label(solver),
linewidth=linewidth[solver],
linestyle=fmts[solver],
marker=None, #mrkrs[solver],
markersize=mrkrsize[solver])
ax.set_xlabel(X_LABEL)
ax.set_ylabel(Y_LABEL)
ax.legend(loc='best', borderaxespad=0., fancybox=True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
#pp.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.15)
xmax = pp.xlim()[1]
if xmax > 1:
ax.set_xlabel(X_EXPLABEL)
ax.set_xscale("log", nonposx='clip')
ax.set_yscale("log", nonposx='clip')
print pp.xlim()
xmax = pp.xlim()[1]
ax.xaxis.set_major_formatter(ScalarFormatter())
#ax.yaxis.set_major_formatter(ScalarFormatter())
ax.axvline(x=1, color='r', lw=2, ls='-')
currentAxis = pp.gca()
currentAxis.add_patch(
Rectangle((1, 0), xmax, 1, facecolor="red", alpha=0.05))
pp.xlim(1e-2, 1e2)
pp.ylim(1e-4, 1e0)
pp.tight_layout(pad=0)
pp.savefig(directory + "/" + outfile + ".pdf")
