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# Copyright (c) 2005 The Regents of The University of Michigan
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer;
# redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution;
# neither the name of the copyright holders nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# Authors: Nathan Binkert
class StatOutput(object):
def __init__(self, name, jobfile, info, stat=None, binstats=None):
self.name = name
self.jobfile = jobfile
self.stat = stat
self.binstats = None
self.label = self.name
self.invert = False
self.info = info
def printdata(self, bin = None, printmode = 'G'):
import info
if bin:
print '%s %s stats' % (self.name, bin)
if self.binstats:
for stat in self.binstats:
stat.bins = bin
if printmode == 'G':
valformat = '%g'
elif printmode != 'F' and value > 1e6:
valformat = '%0.5e'
else:
valformat = '%f'
for job in self.jobfile.jobs():
value = self.info.get(job, self.stat)
if value is None:
return
if not isinstance(value, list):
value = [ value ]
if self.invert:
for i,val in enumerate(value):
if val != 0.0:
value[i] = 1 / val
valstring = ', '.join([ valformat % val for val in value ])
print '%-50s %s' % (job.name + ':', valstring)
def display(self, binned = False, printmode = 'G'):
if binned and self.binstats:
self.printdata('kernel', printmode)
self.printdata('idle', printmode)
self.printdata('user', printmode)
self.printdata('interrupt', printmode)
print '%s total stats' % self.name
self.printdata(printmode=printmode)
def graph(self, graphdir):
from os.path import expanduser, isdir, join as joinpath
from barchart import BarChart
from matplotlib.numerix import Float, array, zeros
import os, re
confgroups = self.jobfile.groups()
ngroups = len(confgroups)
skiplist = [ False ] * ngroups
groupopts = None
baropts = None
groups = []
for i,group in enumerate(confgroups):
if group.flags.graph_group:
if groupopts is not None:
raise AttributeError, \
'Two groups selected for graph group'
groupopts = group.subopts()
skiplist[i] = True
elif group.flags.graph_bars:
if baropts is not None:
raise AttributeError, \
'Two groups selected for graph bars'
baropts = group.subopts()
skiplist[i] = True
else:
groups.append(group)
if groupopts is None:
raise AttributeError, 'No group selected for graph group'
if baropts is None:
raise AttributeError, 'No group selected for graph bars'
directory = expanduser(graphdir)
if not isdir(directory):
os.mkdir(directory)
html = file(joinpath(directory, '%s.html' % self.name), 'w')
print >>html, '<html>'
print >>html, '<title>Graphs for %s</title>' % self.name
print >>html, '<body>'
for options in self.jobfile.options(groups):
data = zeros((len(groupopts), len(baropts)), Float)
data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ]
enabled = False
stacked = 0
for g,gopt in enumerate(groupopts):
for b,bopt in enumerate(baropts):
job = self.jobfile.job(options + [ gopt, bopt ])
if not job:
continue
val = self.info.get(job, self.stat)
if isinstance(val, (list, tuple)):
if len(val) == 1:
val = val[0]
else:
stacked = len(val)
data[g][b] = val
if stacked == 0:
for i in xrange(len(groupopts)):
for j in xrange(len(baropts)):
if data[i][j] is None:
data[i][j] = 0.0
else:
for i in xrange(len(groupopts)):
for j in xrange(len(baropts)):
val = data[i][j]
if val is None:
data[i][j] = [] * stacked
elif len(val) != stacked:
raise ValueError, "some stats stacked, some not"
data = array(data)
if data.sum() == 0:
continue
bar_descs = [ opt.desc for opt in baropts ]
group_descs = [ opt.desc for opt in groupopts ]
if stacked:
try:
legend = self.info.rcategories
except:
legend = [ str(i) for i in xrange(stacked) ]
else:
legend = bar_descs
chart = BarChart(data=data, xlabel='Benchmark', ylabel=self.label,
legend=legend, xticks=group_descs)
chart.graph()
names = [ opt.name for opt in options ]
descs = [ opt.desc for opt in options ]
filename = '%s-%s.png' % (self.name, ':'.join(names))
desc = ' '.join(descs)
filepath = joinpath(directory, filename)
chart.savefig(filepath)
filename = re.sub(':', '%3A', filename)
print >>html, '''%s<br><img src="%s"><br>''' % (desc, filename)
print >>html, '</body>'
print >>html, '</html>'
html.close()
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