1# Copyright (c) 2005 The Regents of The University of Michigan
2# All rights reserved.
3#
4# Redistribution and use in source and binary forms, with or without
5# modification, are permitted provided that the following conditions are
6# met: redistributions of source code must retain the above copyright
7# notice, this list of conditions and the following disclaimer;
8# redistributions in binary form must reproduce the above copyright
--- 12 unchanged lines hidden (view full) ---
21# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
22# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
23# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26#
27# Authors: Nathan Binkert
28
29class StatOutput(object):
30 def __init__(self, name, jobfile, info, stat=None, binstats=None):
31 self.name = name
32 self.jobfile = jobfile
33 self.stat = stat
34 self.binstats = None
35 self.label = self.name
36 self.invert = False
37 self.info = info
38
39 def printdata(self, bin = None, printmode = 'G'):
40 import info
41
42 if bin:
43 print '%s %s stats' % (self.name, bin)
44
45 if self.binstats:
46 for stat in self.binstats:
47 stat.bins = bin
48
49 if printmode == 'G':
50 valformat = '%g'
51 elif printmode != 'F' and value > 1e6:
--- 12 unchanged lines hidden (view full) ---
64 if self.invert:
65 for i,val in enumerate(value):
66 if val != 0.0:
67 value[i] = 1 / val
68
69 valstring = ', '.join([ valformat % val for val in value ])
70 print '%-50s %s' % (job.name + ':', valstring)
71
72 def display(self, binned = False, printmode = 'G'):
73 if binned and self.binstats:
74 self.printdata('kernel', printmode)
75 self.printdata('idle', printmode)
76 self.printdata('user', printmode)
77 self.printdata('interrupt', printmode)
78
79 print '%s total stats' % self.name
80 self.printdata(printmode=printmode)
81
82 def graph(self, graphdir):
83 from os.path import expanduser, isdir, join as joinpath
84 from barchart import BarChart
85 from matplotlib.numerix import Float, array, zeros
86 import os, re
87
88 confgroups = self.jobfile.groups()
89 ngroups = len(confgroups)
90 skiplist = [ False ] * ngroups
91 groupopts = None
92 baropts = None
93 groups = []
94 for i,group in enumerate(confgroups):
95 if group.flags.graph_group:
96 if groupopts is not None:
97 raise AttributeError, \
98 'Two groups selected for graph group'
99 groupopts = group.subopts()
100 skiplist[i] = True
101 elif group.flags.graph_bars:
102 if baropts is not None:
103 raise AttributeError, \
104 'Two groups selected for graph bars'
105 baropts = group.subopts()
106 skiplist[i] = True
107 else:
108 groups.append(group)
109
110 if groupopts is None:
111 raise AttributeError, 'No group selected for graph group'
112
113 if baropts is None:
114 raise AttributeError, 'No group selected for graph bars'
115
116 directory = expanduser(graphdir)
117 if not isdir(directory):
118 os.mkdir(directory)
119 html = file(joinpath(directory, '%s.html' % self.name), 'w')
120 print >>html, '<html>'
121 print >>html, '<title>Graphs for %s</title>' % self.name
122 print >>html, '<body>'
123
124 for options in self.jobfile.options(groups):
125 data = zeros((len(groupopts), len(baropts)), Float)
126 data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ]
127 enabled = False
128 stacked = 0
129 for g,gopt in enumerate(groupopts):
130 for b,bopt in enumerate(baropts):
131 job = self.jobfile.job(options + [ gopt, bopt ])
132 if not job:
133 continue
134
135 val = self.info.get(job, self.stat)
136 if isinstance(val, (list, tuple)):
137 if len(val) == 1:
138 val = val[0]
139 else:
140 stacked = len(val)
141
142 data[g][b] = val
143
144 if stacked == 0:
145 for i in xrange(len(groupopts)):
146 for j in xrange(len(baropts)):
147 if data[i][j] is None:
148 data[i][j] = 0.0
149 else:
150 for i in xrange(len(groupopts)):
151 for j in xrange(len(baropts)):
152 val = data[i][j]
153 if val is None:
154 data[i][j] = [] * stacked
155 elif len(val) != stacked:
156 raise ValueError, "some stats stacked, some not"
157
158 data = array(data)
159 if data.sum() == 0:
160 continue
161
162 bar_descs = [ opt.desc for opt in baropts ]
163 group_descs = [ opt.desc for opt in groupopts ]
164 if stacked:
165 try:
166 legend = self.info.rcategories
167 except:
168 legend = [ str(i) for i in xrange(stacked) ]
169 else:
170 legend = bar_descs
171
172 chart = BarChart(data=data, xlabel='Benchmark', ylabel=self.label,
173 legend=legend, xticks=group_descs)
174 chart.graph()
175
176 names = [ opt.name for opt in options ]
177 descs = [ opt.desc for opt in options ]
178
179 filename = '%s-%s.png' % (self.name, ':'.join(names))
180 desc = ' '.join(descs)
181 filepath = joinpath(directory, filename)
182 chart.savefig(filepath)
183 filename = re.sub(':', '%3A', filename)
184 print >>html, '''%s<br><img src="%s"><br>''' % (desc, filename)
185
186 print >>html, '</body>'
187 print >>html, '</html>'
188 html.close()
2# All rights reserved.
3#
4# Redistribution and use in source and binary forms, with or without
5# modification, are permitted provided that the following conditions are
6# met: redistributions of source code must retain the above copyright
7# notice, this list of conditions and the following disclaimer;
8# redistributions in binary form must reproduce the above copyright
--- 12 unchanged lines hidden (view full) ---
21# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
22# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
23# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26#
27# Authors: Nathan Binkert
28
29class StatOutput(object):
30 def __init__(self, name, jobfile, info, stat=None, binstats=None):
31 self.name = name
32 self.jobfile = jobfile
33 self.stat = stat
34 self.binstats = None
35 self.label = self.name
36 self.invert = False
37 self.info = info
38
39 def printdata(self, bin = None, printmode = 'G'):
40 import info
41
42 if bin:
43 print '%s %s stats' % (self.name, bin)
44
45 if self.binstats:
46 for stat in self.binstats:
47 stat.bins = bin
48
49 if printmode == 'G':
50 valformat = '%g'
51 elif printmode != 'F' and value > 1e6:
--- 12 unchanged lines hidden (view full) ---
64 if self.invert:
65 for i,val in enumerate(value):
66 if val != 0.0:
67 value[i] = 1 / val
68
69 valstring = ', '.join([ valformat % val for val in value ])
70 print '%-50s %s' % (job.name + ':', valstring)
71
72 def display(self, binned = False, printmode = 'G'):
73 if binned and self.binstats:
74 self.printdata('kernel', printmode)
75 self.printdata('idle', printmode)
76 self.printdata('user', printmode)
77 self.printdata('interrupt', printmode)
78
79 print '%s total stats' % self.name
80 self.printdata(printmode=printmode)
81
82 def graph(self, graphdir):
83 from os.path import expanduser, isdir, join as joinpath
84 from barchart import BarChart
85 from matplotlib.numerix import Float, array, zeros
86 import os, re
87
88 confgroups = self.jobfile.groups()
89 ngroups = len(confgroups)
90 skiplist = [ False ] * ngroups
91 groupopts = None
92 baropts = None
93 groups = []
94 for i,group in enumerate(confgroups):
95 if group.flags.graph_group:
96 if groupopts is not None:
97 raise AttributeError, \
98 'Two groups selected for graph group'
99 groupopts = group.subopts()
100 skiplist[i] = True
101 elif group.flags.graph_bars:
102 if baropts is not None:
103 raise AttributeError, \
104 'Two groups selected for graph bars'
105 baropts = group.subopts()
106 skiplist[i] = True
107 else:
108 groups.append(group)
109
110 if groupopts is None:
111 raise AttributeError, 'No group selected for graph group'
112
113 if baropts is None:
114 raise AttributeError, 'No group selected for graph bars'
115
116 directory = expanduser(graphdir)
117 if not isdir(directory):
118 os.mkdir(directory)
119 html = file(joinpath(directory, '%s.html' % self.name), 'w')
120 print >>html, '<html>'
121 print >>html, '<title>Graphs for %s</title>' % self.name
122 print >>html, '<body>'
123
124 for options in self.jobfile.options(groups):
125 data = zeros((len(groupopts), len(baropts)), Float)
126 data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ]
127 enabled = False
128 stacked = 0
129 for g,gopt in enumerate(groupopts):
130 for b,bopt in enumerate(baropts):
131 job = self.jobfile.job(options + [ gopt, bopt ])
132 if not job:
133 continue
134
135 val = self.info.get(job, self.stat)
136 if isinstance(val, (list, tuple)):
137 if len(val) == 1:
138 val = val[0]
139 else:
140 stacked = len(val)
141
142 data[g][b] = val
143
144 if stacked == 0:
145 for i in xrange(len(groupopts)):
146 for j in xrange(len(baropts)):
147 if data[i][j] is None:
148 data[i][j] = 0.0
149 else:
150 for i in xrange(len(groupopts)):
151 for j in xrange(len(baropts)):
152 val = data[i][j]
153 if val is None:
154 data[i][j] = [] * stacked
155 elif len(val) != stacked:
156 raise ValueError, "some stats stacked, some not"
157
158 data = array(data)
159 if data.sum() == 0:
160 continue
161
162 bar_descs = [ opt.desc for opt in baropts ]
163 group_descs = [ opt.desc for opt in groupopts ]
164 if stacked:
165 try:
166 legend = self.info.rcategories
167 except:
168 legend = [ str(i) for i in xrange(stacked) ]
169 else:
170 legend = bar_descs
171
172 chart = BarChart(data=data, xlabel='Benchmark', ylabel=self.label,
173 legend=legend, xticks=group_descs)
174 chart.graph()
175
176 names = [ opt.name for opt in options ]
177 descs = [ opt.desc for opt in options ]
178
179 filename = '%s-%s.png' % (self.name, ':'.join(names))
180 desc = ' '.join(descs)
181 filepath = joinpath(directory, filename)
182 chart.savefig(filepath)
183 filename = re.sub(':', '%3A', filename)
184 print >>html, '''%s<br><img src="%s"><br>''' % (desc, filename)
185
186 print >>html, '</body>'
187 print >>html, '</html>'
188 html.close()