# 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 dbinfo(object): def get(self, job, stat): import info run = info.source.allRunNames.get(job.name, None) if run is None: print 'run "%s" not found' % job return None stat.system = info.source[job.system] info.display_run = run.run; val = float(stat) if val == 1e300*1e300: return None return val class StatOutput(object): def __init__(self, name, jobfile, stat=None, info=dbinfo(), 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, '' print >>html, 'Graphs for %s' % self.name print >>html, '' 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 = None 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 val is None: val = 0.0 curstacked = isinstance(val, (list, tuple)) if stacked is None: stacked = curstacked else: if stacked != curstacked: raise ValueError, "some stats stacked, some not" data[g][b] = val 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: legend = self.info.rcategories 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

''' % (desc, filename) print >>html, '' print >>html, '' html.close()