diff options
author | Andrea Bastoni <bastoni@cs.unc.edu> | 2010-04-12 23:26:13 -0400 |
---|---|---|
committer | Andrea Bastoni <bastoni@cs.unc.edu> | 2010-04-12 23:26:13 -0400 |
commit | 4538f7e4fcaa3bf199377b9b735562e53cd1c7d3 (patch) | |
tree | 7f7129e661e4826352301f1b2d3bbd8a945c0d9d | |
parent | 3b21f9d15822453117d1e908ab97cacd8f7f39be (diff) |
Add schedule-sensitive PM samples analyzer
- main data analyzer for preemption and migration (schedule-sensitive method)
-rw-r--r-- | SConstruct | 17 | ||||
-rw-r--r-- | data_analysis/defapp.py | 95 | ||||
-rwxr-xr-x | data_analysis/pm_data_analyzer.py | 386 |
3 files changed, 497 insertions, 1 deletions
@@ -52,7 +52,9 @@ INCLUDE_DIRS = [ | |||
52 | # Linux kernel headers | 52 | # Linux kernel headers |
53 | '${LITMUS_KERNEL}/include/', | 53 | '${LITMUS_KERNEL}/include/', |
54 | # Linux architecture-specific kernel headers | 54 | # Linux architecture-specific kernel headers |
55 | '${LITMUS_KERNEL}/arch/${INCLUDE_ARCH}/include' | 55 | '${LITMUS_KERNEL}/arch/${INCLUDE_ARCH}/include', |
56 | # Python headers | ||
57 | '${PYTHON_HEADERS}' | ||
56 | ] | 58 | ] |
57 | 59 | ||
58 | # ##################################################################### | 60 | # ##################################################################### |
@@ -69,6 +71,10 @@ vars.AddVariables( | |||
69 | 'Where to find the LITMUS^RT kernel.', | 71 | 'Where to find the LITMUS^RT kernel.', |
70 | '../litmus2010'), | 72 | '../litmus2010'), |
71 | 73 | ||
74 | PathVariable('PYTHON_HEADERS', | ||
75 | 'Where to find Python headers.', | ||
76 | '/usr/include/python2.5'), | ||
77 | |||
72 | EnumVariable('ARCH', | 78 | EnumVariable('ARCH', |
73 | 'Target architecture.', | 79 | 'Target architecture.', |
74 | arch, | 80 | arch, |
@@ -120,6 +126,7 @@ def dump_config(env): | |||
120 | dump('CPPPATH') | 126 | dump('CPPPATH') |
121 | dump('CCFLAGS') | 127 | dump('CCFLAGS') |
122 | dump('LINKFLAGS') | 128 | dump('LINKFLAGS') |
129 | dump('PYTHON_HEADERS') | ||
123 | 130 | ||
124 | if GetOption('dump'): | 131 | if GetOption('dump'): |
125 | print "\n" | 132 | print "\n" |
@@ -161,6 +168,10 @@ if not (env.GetOption('clean') or env.GetOption('help')): | |||
161 | abort("Cannot find liblitmus headers in '$LIBLITMUS'", | 168 | abort("Cannot find liblitmus headers in '$LIBLITMUS'", |
162 | "Please ensure that LIBLITMUS in .config is a valid path'") | 169 | "Please ensure that LIBLITMUS in .config is a valid path'") |
163 | 170 | ||
171 | conf.CheckCHeader('Python.h') or \ | ||
172 | abort("Cannot find Python headers in '$PYTHON_HEADERS'", | ||
173 | "Please ensure that PYTHON_HEADERS in .config is set to a valid path.") | ||
174 | |||
164 | env = conf.Finish() | 175 | env = conf.Finish() |
165 | 176 | ||
166 | # ##################################################################### | 177 | # ##################################################################### |
@@ -192,6 +203,10 @@ pmpy.Replace(LINKFLAGS = '') | |||
192 | 203 | ||
193 | pmrt.Program('pm_task', ['bin/pm_task.c', 'bin/pm_common.c']) | 204 | pmrt.Program('pm_task', ['bin/pm_task.c', 'bin/pm_common.c']) |
194 | pmrt.Program('pm_polluter', ['bin/pm_polluter.c', 'bin/pm_common.c']) | 205 | pmrt.Program('pm_polluter', ['bin/pm_polluter.c', 'bin/pm_common.c']) |
206 | |||
207 | pmpy.SharedLibrary('pm', ['c2python/pmmodule.c', 'bin/pm_common.c']) | ||
208 | |||
209 | Command("pm.so", "libpm.so", Move("$TARGET", "$SOURCE")) | ||
195 | # ##################################################################### | 210 | # ##################################################################### |
196 | # Additional Help | 211 | # Additional Help |
197 | 212 | ||
diff --git a/data_analysis/defapp.py b/data_analysis/defapp.py new file mode 100644 index 0000000..c03f118 --- /dev/null +++ b/data_analysis/defapp.py | |||
@@ -0,0 +1,95 @@ | |||
1 | #!/usr/bin/env python | ||
2 | |||
3 | """ | ||
4 | A basic Python application shell, for copy&paste development. | ||
5 | """ | ||
6 | |||
7 | import optparse | ||
8 | import cmd | ||
9 | import sys | ||
10 | |||
11 | o = optparse.make_option | ||
12 | |||
13 | class App(cmd.Cmd): | ||
14 | def __init__(self, opts=None, defaults=None, no_std_opts=False, | ||
15 | stdout=sys.stdout, stderr=sys.stderr, default_cmd=None): | ||
16 | cmd.Cmd.__init__(self, None, stdout, stderr) | ||
17 | self.default_cmd = default_cmd | ||
18 | if not opts: | ||
19 | opts = [] | ||
20 | if not defaults: | ||
21 | defaults = {} | ||
22 | defaults["_App_file"] = None | ||
23 | self.f = None | ||
24 | if not no_std_opts: | ||
25 | opts += [ o('-o', '--output', action='store', dest='_App_file', | ||
26 | help='store output in FILE', metavar='FILE')] | ||
27 | (self.options, self.args) = self.__parse(opts, defaults) | ||
28 | |||
29 | def __parse(self, opts, defaults): | ||
30 | parser = optparse.OptionParser(option_list=opts) | ||
31 | parser.set_defaults(**defaults) | ||
32 | return parser.parse_args() | ||
33 | |||
34 | def launch(self, args=None): | ||
35 | if args: | ||
36 | self.args = args | ||
37 | try: | ||
38 | if self.options._App_file: | ||
39 | self.f = open(self.options._App_file, 'w') | ||
40 | self.onecmd(' '.join(self.args)) | ||
41 | except IOError, msg: | ||
42 | self.err("I/O Error:", msg) | ||
43 | except KeyboardInterrupt: | ||
44 | self.err("Interrupted.") | ||
45 | if self.f: | ||
46 | self.f.close() | ||
47 | |||
48 | def outfile(self): | ||
49 | if self.f: | ||
50 | return self.f | ||
51 | else: | ||
52 | return sys.stdout | ||
53 | |||
54 | def emptyline(self): | ||
55 | if self.default_cmd: | ||
56 | self.onecmd(self.default_cmd) | ||
57 | |||
58 | def default(self, line): | ||
59 | self.err("%s: Command not recognized." % line) | ||
60 | |||
61 | def do_dump_config(self, key): | ||
62 | """Display the configuration as parsed on the console.""" | ||
63 | def is_private(k): return k[0] == '_' | ||
64 | def show(k): print "%20s : %10s" % (k, str(self.options.__dict__[k])) | ||
65 | if not key: | ||
66 | for x in sorted(self.options.__dict__.keys()): | ||
67 | if not is_private(x): | ||
68 | show(x) | ||
69 | elif not is_private(key) and key in self.options.__dict__: | ||
70 | show(key) | ||
71 | else: | ||
72 | self.err("%s: unknown option." % key) | ||
73 | |||
74 | @staticmethod | ||
75 | def __write(stream, *args, **kargs): | ||
76 | stream.write(" ".join([str(a) for a in args])) | ||
77 | if not ('omit_newline' in kargs and kargs['omit_newline']): | ||
78 | stream.write("\n") | ||
79 | stream.flush() | ||
80 | |||
81 | def err(self, *args, **kargs): | ||
82 | self.__write(sys.stderr, *args, **kargs) | ||
83 | |||
84 | def msg(self, *args, **kargs): | ||
85 | self.__write(sys.stdout, *args, **kargs) | ||
86 | |||
87 | def out(self, *args, **kargs): | ||
88 | if self.f: | ||
89 | self.__write(self.f, *args, **kargs) | ||
90 | else: | ||
91 | self.__write(sys.stdout, *args, **kargs) | ||
92 | |||
93 | if __name__ == "__main__": | ||
94 | a = App() | ||
95 | a.launch() | ||
diff --git a/data_analysis/pm_data_analyzer.py b/data_analysis/pm_data_analyzer.py new file mode 100755 index 0000000..e730383 --- /dev/null +++ b/data_analysis/pm_data_analyzer.py | |||
@@ -0,0 +1,386 @@ | |||
1 | #!/usr/bin/env python | ||
2 | """ | ||
3 | Usage: %prog [options] filename | ||
4 | |||
5 | FILENAME is where the .raw overhead data are. Filename | ||
6 | and the path to it also gives the base path and filename for the | ||
7 | files that contains already processed overheads and the directory | ||
8 | where to save the output data. | ||
9 | FILENAME should be something like: "res_plugin=GSN-EDF_wss=WSS_tss=TSS.raw". | ||
10 | Also, take a look at the "compact_results" script | ||
11 | """ | ||
12 | |||
13 | import defapp | ||
14 | |||
15 | from optparse import make_option as o | ||
16 | from os.path import splitext, basename, dirname | ||
17 | |||
18 | import sys | ||
19 | import numpy as np | ||
20 | |||
21 | # preemption and migration C data exchanger | ||
22 | import pm | ||
23 | import pmserialize as pms | ||
24 | import statanalyzer as pmstat | ||
25 | |||
26 | options = [ | ||
27 | o("-l", "--cores-per-l2", dest="coresL2", action="store", type="int", | ||
28 | help="Number of cores per L2 cache; if all cores share the same \ | ||
29 | L2 (i.e., no L3) set this to 0 (default = 2)"), | ||
30 | o("-p", "--phys-cpu", dest="pcpu", action="store", type="int", | ||
31 | help="Number of physical sockets on this machine (default 4)"), | ||
32 | o(None, "--limit-preempt", dest="npreempt", action="store", type="int", | ||
33 | help="Limit the number of preemption sample used in statistics \ | ||
34 | to NPREEMPT"), | ||
35 | o(None, "--limit-l2", dest="nl2cache", action="store", type="int", | ||
36 | help="Limit the number of l2cache sample used in statistics \ | ||
37 | to NL2CACHE"), | ||
38 | o(None, "--limit-onchip", dest="nonchip", action="store", type="int", | ||
39 | help="Limit the number of onchip sample used in statistics \ | ||
40 | to NONCHIP"), | ||
41 | o(None, "--limit-offchip", dest="noffchip", action="store", type="int", | ||
42 | help="Limit the number of offchip sample used in statistics \ | ||
43 | to NOFFCHIP"), | ||
44 | o("-a", "--autocap", dest="autocap", action="store_true", | ||
45 | help="Autodetect the minimum number of samples to use for statistics"), | ||
46 | o("-r", "--read-valid-data", dest="read_valid", action="store_true", | ||
47 | help="read already processed data from file"), | ||
48 | o("-v", "--verbose", dest="verbose", action="store_true"), | ||
49 | o("-d", "--debug", dest="debug", action="store_true"), | ||
50 | o("-u", "--microsec", dest="cpufreq", action="store", type="float", | ||
51 | help="Print overhead results in microseconds; \ | ||
52 | CPUFREQ is the cpu freq in MHz (cat /proc/cpuinfo)"), | ||
53 | ] | ||
54 | # this cores per chip parameter implies a different topology model not fully | ||
55 | # supported atm | ||
56 | # o("-c", "--cores-per-chip", dest="coresC", | ||
57 | # action="store", type="int", default="6", | ||
58 | # help="number of cores per chip (default = 6)") | ||
59 | |||
60 | defaults = { | ||
61 | 'coresL2' : 2, | ||
62 | 'pcpu' : 4, | ||
63 | 'npreempt' : 0, | ||
64 | 'nl2cache' : 0, | ||
65 | 'nonchip' : 0, | ||
66 | 'noffchip' : 0, | ||
67 | 'read_valid': False, | ||
68 | 'verbose' : False, | ||
69 | 'debug' : False, | ||
70 | 'cpufreq' : 0, | ||
71 | } | ||
72 | |||
73 | # from Bjoern's simple-gnuplot-wrapper | ||
74 | def decode(name): | ||
75 | params = {} | ||
76 | parts = name.split('_') | ||
77 | for p in parts: | ||
78 | kv = p.split('=') | ||
79 | k = kv[0] | ||
80 | v = kv[1] if len(kv) > 1 else None | ||
81 | params[k] = v | ||
82 | return params | ||
83 | |||
84 | class Overhead: | ||
85 | def __init__(self): | ||
86 | self.overheads = [] | ||
87 | self.index = 0 | ||
88 | |||
89 | def __iter__(self): | ||
90 | return self | ||
91 | |||
92 | def next(self): | ||
93 | if self.index == len(self.overheads): | ||
94 | self.index = 0 | ||
95 | raise StopIteration | ||
96 | self.index += 1 | ||
97 | return self.overheads[self.index - 1] | ||
98 | |||
99 | def add(self, ovd_vector, label): | ||
100 | self.overheads.append([ovd_vector, label]) | ||
101 | |||
102 | class Analyzer(defapp.App): | ||
103 | def __init__(self): | ||
104 | defapp.App.__init__(self, options, defaults, no_std_opts=True) | ||
105 | self.last_conf = {} | ||
106 | self.valid_ovds_list = {} | ||
107 | self.min_sample_tss = {} | ||
108 | self.lsamples = {} | ||
109 | if self.options.npreempt: | ||
110 | self.lsamples['preemption'] = self.options.npreempt | ||
111 | if self.options.nl2cache: | ||
112 | self.lsamples['l2cache'] = self.options.nl2cache | ||
113 | if self.options.nonchip: | ||
114 | self.lsamples['onchip'] = self.options.nonchip | ||
115 | if self.options.noffchip: | ||
116 | self.lsamples['offchip'] = self.options.noffchip | ||
117 | |||
118 | # read previously saved overhead data | ||
119 | def read_valid_data(self, filename): | ||
120 | valid_ovds = Overhead() | ||
121 | nf = filename + '_preemption.vbin' | ||
122 | if self.options.debug: | ||
123 | print "Reading '%s'" % nf | ||
124 | valid_ovds.add(pms.unpickl_it(nf), 'preemtion') | ||
125 | |||
126 | nf = filename + '_onchip.vbin' | ||
127 | if self.options.debug: | ||
128 | print "Reading '%s'" % nf | ||
129 | valid_ovds.add(pms.unpickl_it(nf), 'onchip') | ||
130 | |||
131 | nf = filename + '_offchip.vbin' | ||
132 | if self.options.debug: | ||
133 | print "Reading '%s'" % nf | ||
134 | valid_ovds.add(pms.unpickl_it(nf), 'offchip') | ||
135 | |||
136 | if self.options.coresL2 != 0: | ||
137 | nf = filename + '_l2cache.vbin' | ||
138 | if self.options.debug: | ||
139 | print "Reading '%s'" % nf | ||
140 | valid_ovds.add(pms.unpickl_it(nf), 'l2cache') | ||
141 | return valid_ovds | ||
142 | |||
143 | def process_raw_data(self, datafile, conf): | ||
144 | coresL2 = self.options.coresL2 | ||
145 | pcpu = self.options.pcpu | ||
146 | # initialize pmmodule | ||
147 | pm.load(datafile, coresL2, pcpu, int(conf['wss']), int(conf['tss'])) | ||
148 | # raw overheads | ||
149 | ovds = Overhead() | ||
150 | # valid overheads | ||
151 | valid_ovds = Overhead() | ||
152 | # get overheads | ||
153 | ovds.add(pm.getPreemption(), 'preemption') | ||
154 | ovds.add(pm.getOnChipMigration(), 'onchip') | ||
155 | ovds.add(pm.getOffChipMigration(), 'offchip') | ||
156 | if coresL2 != 0: | ||
157 | ovds.add(pm.getL2Migration(), 'l2cache') | ||
158 | |||
159 | if self.options.debug: | ||
160 | for i in ovds: | ||
161 | print i[0], i[1] | ||
162 | |||
163 | # instance the statistical analizer to remove outliers | ||
164 | sd = pmstat.InterQuartileRange(25,75, True) | ||
165 | |||
166 | for i in ovds: | ||
167 | if len(i[0]) != 0: | ||
168 | # just add overheads, "forget" preemption length | ||
169 | # FIXME: is really needed? | ||
170 | # valid_ovds.add(sd.remOutliers(i[0][:,0]), i[1]) | ||
171 | valid_ovds.add(i[0][:,0], i[1]) | ||
172 | else: | ||
173 | print "Warning: no valid data collected..." | ||
174 | valid_ovds.add([], i[1]) | ||
175 | |||
176 | if self.options.debug: | ||
177 | # check outliers removals | ||
178 | print "Before outliers removal" | ||
179 | for i in ovds: | ||
180 | print "samples(%(0)s) = %(1)d" % {"0":i[1], "1":len(i[0])} | ||
181 | print "After outliers removal" | ||
182 | for i in valid_ovds: | ||
183 | print "samples(%(0)s) = %(1)d" % {"0":i[1], "1":len(i[0])} | ||
184 | |||
185 | count_sample = {} | ||
186 | if self.options.autocap or self.options.verbose: | ||
187 | for i in valid_ovds: | ||
188 | if self.options.verbose: | ||
189 | print "samples(%(0)s) = %(1)d" % {"0":i[1], "1":len(i[0])} | ||
190 | count_sample[i[1]] = len(i[0]) | ||
191 | |||
192 | if self.options.autocap: | ||
193 | if self.min_sample_tss == {}: | ||
194 | self.min_sample_tss = { | ||
195 | 'preemption':count_sample['preemption'], | ||
196 | 'onchip':count_sample['onchip'], | ||
197 | 'offchip':count_sample['offchip'], | ||
198 | 'l2cache':count_sample['l2cache']} | ||
199 | else: | ||
200 | # it is normally sufficient to check num samples for | ||
201 | # preemptions to get tss with min num samples in wss | ||
202 | if self.min_sample_tss['preemption'] > \ | ||
203 | count_sample['preemption']: | ||
204 | self.min_sample_tss = { | ||
205 | 'preemption':count_sample['preemption'], | ||
206 | 'onchip':count_sample['onchip'], | ||
207 | 'offchip':count_sample['offchip'], | ||
208 | 'l2cache':count_sample['l2cache']} | ||
209 | |||
210 | # serialize valid overheads | ||
211 | for i in valid_ovds: | ||
212 | dname = dirname(datafile) | ||
213 | fname, ext = splitext(basename(datafile)) | ||
214 | |||
215 | curf = dname + '/' + fname + '_' + i[1] + '.vbin' | ||
216 | pms.pickl_it(i[0], curf) | ||
217 | |||
218 | del ovds | ||
219 | return valid_ovds | ||
220 | |||
221 | # The output is one csv WSS file per ovhd type, "tss, max_ovd, avg_ovd" | ||
222 | # Filename output format: | ||
223 | # pm_wss=2048_ovd=preemption.csv | ||
224 | # ovd: preemption, onchip, offchip, l2cache | ||
225 | |||
226 | def analyze_data(self, dname, conf): | ||
227 | csvbname = dname + '/pm_wss=' + conf['wss'] | ||
228 | |||
229 | for tss in sorted(self.valid_ovds_list.keys(), key=int): | ||
230 | vohs = self.valid_ovds_list[tss] | ||
231 | |||
232 | if self.options.verbose: | ||
233 | print "\n(WSS = %(0)s, TSS = %(1)s)" % {"0":conf['wss'], \ | ||
234 | "1":tss} | ||
235 | |||
236 | for i in vohs: | ||
237 | csvfname = csvbname + '_ovd=' + i[1] + '.csv' | ||
238 | if self.options.debug: | ||
239 | print "Saving csv '%s'" % csvfname | ||
240 | |||
241 | csvf = open(csvfname, 'a') | ||
242 | csvlist = [tss] | ||
243 | |||
244 | # data (valid_ovds already have only overheads, not length) | ||
245 | # vector = i[0][:,0] | ||
246 | # | ||
247 | # Check if we need to limit the number of samples | ||
248 | # that we use in the computation of max and avg. | ||
249 | # Statistically, this is more sound than other choices | ||
250 | if i[1] in self.lsamples: | ||
251 | if self.lsamples[i[1]] > 0: | ||
252 | nsamples = min(self.lsamples[i[1]], len(i[0])) | ||
253 | if self.options.verbose: | ||
254 | print "Computing %(0)s stat only on %(1)d samples" % \ | ||
255 | {"0":i[1], | ||
256 | "1":nsamples} | ||
257 | vector = i[0][0:nsamples] | ||
258 | elif self.options.autocap: # we can also autocompute the cap | ||
259 | nsamples = self.min_sample_tss[i[1]] | ||
260 | if self.options.verbose: | ||
261 | print "Computing %(0)s stat only on %(1)d samples" % \ | ||
262 | {"0":i[1], "1":nsamples} | ||
263 | vector = i[0][0:nsamples] | ||
264 | else: | ||
265 | vector = i[0] | ||
266 | |||
267 | if vector != []: | ||
268 | # FIXME if after disabling prefetching there are | ||
269 | # still negative value, they shouldn't be considered | ||
270 | max_vec = np.max(vector) | ||
271 | avg_vec = np.average(vector) | ||
272 | std_vec = np.std(vector) | ||
273 | else: | ||
274 | max_vec = 0 | ||
275 | avg_vec = 0 | ||
276 | std_vec = 0 | ||
277 | |||
278 | if self.options.cpufreq == 0: | ||
279 | max_vec_str = "%5.5f" % max_vec | ||
280 | avg_vec_str = "%5.5f" % avg_vec | ||
281 | std_vec_up = "%5.5f" % (avg_vec + std_vec) | ||
282 | std_vec_down = "%5.5f" % (avg_vec - std_vec) | ||
283 | |||
284 | else: | ||
285 | max_vec_str = "%5.5f" % (max_vec / self.options.cpufreq) | ||
286 | avg_vec_str = "%5.5f" % (avg_vec / self.options.cpufreq) | ||
287 | std_vec_up = "%5.5f" % ((avg_vec + std_vec) / self.options.cpufreq) | ||
288 | std_vec_down = "%5.5f" % ((avg_vec - std_vec) / self.options.cpufreq) | ||
289 | |||
290 | csvlist.append(max_vec_str) | ||
291 | csvlist.append(avg_vec_str) | ||
292 | csvlist.append(std_vec_down) | ||
293 | csvlist.append(std_vec_up) | ||
294 | pms.csv_it(csvf, csvlist) | ||
295 | csvf.close() | ||
296 | |||
297 | if self.options.verbose: | ||
298 | if self.options.cpufreq == 0: | ||
299 | print i[1] + " overheads (ticks)" | ||
300 | print "Max = %5.5f" % max_vec | ||
301 | print "Avg = %5.5f" % avg_vec | ||
302 | print "Std = %5.5f" % std_vec | ||
303 | else: | ||
304 | print i[1] + " overheads (us)" | ||
305 | print "Max = %5.5f" % (max_vec / self.options.cpufreq) | ||
306 | print "Avg = %5.5f" % (avg_vec / self.options.cpufreq) | ||
307 | print "Std = %5.5f" % (std_vec / self.options.cpufreq) | ||
308 | |||
309 | del vector | ||
310 | del vohs | ||
311 | |||
312 | def process_datafile(self, datafile, dname, fname, conf): | ||
313 | if self.options.verbose: | ||
314 | print "\nProcessing: " + fname | ||
315 | if self.options.read_valid: | ||
316 | # .vbin output should be in same directory as input filename | ||
317 | readf = dname + '/' + fname | ||
318 | self.valid_ovds_list[conf['tss']] = self.read_valid_data(readf) | ||
319 | else: | ||
320 | self.valid_ovds_list[conf['tss']] = \ | ||
321 | self.process_raw_data(datafile, conf) | ||
322 | |||
323 | def default(self, _): | ||
324 | # TODO: to support this combination we should store also the min | ||
325 | # number of samples in the .vbin file | ||
326 | if self.options.read_valid and self.options.autocap: | ||
327 | self.err("Read stored values + autocap not currently supported") | ||
328 | return None | ||
329 | |||
330 | for datafile in self.args: | ||
331 | dname = dirname(datafile) | ||
332 | bname = basename(datafile) | ||
333 | fname, ext = splitext(bname) | ||
334 | if ext != '.raw': | ||
335 | self.err("Warning: '%s' doesn't look like a .raw file" | ||
336 | % bname) | ||
337 | |||
338 | conf = decode(fname) | ||
339 | |||
340 | if datafile == self.args[-1]: | ||
341 | # manage single file / last of list | ||
342 | if ('wss' in self.last_conf) and (conf['wss'] != \ | ||
343 | self.last_conf['wss']): | ||
344 | # we have already analyzed at least one file, | ||
345 | # this is the first file of a new set of WSS, | ||
346 | # and it is also the last file of the list | ||
347 | self.analyze_data(dname, self.last_conf) | ||
348 | # reinit dictionaries | ||
349 | del self.valid_ovds_list | ||
350 | del self.min_sample_tss | ||
351 | self.valid_ovds_list = {} | ||
352 | self.min_sample_tss = {} | ||
353 | # analyze this file | ||
354 | self.process_datafile(datafile, dname, fname, conf) | ||
355 | self.analyze_data(dname, conf) | ||
356 | del self.valid_ovds_list | ||
357 | del self.min_sample_tss | ||
358 | else: | ||
359 | # just the end of a list of wss files or 1 single file | ||
360 | self.process_datafile(datafile, dname, fname, conf) | ||
361 | if self.args[0] == self.args[-1]: | ||
362 | self.analyze_data(dname, conf) | ||
363 | else: | ||
364 | self.analyze_data(dname, self.last_conf) | ||
365 | del self.valid_ovds_list | ||
366 | else: | ||
367 | # assume WSS are anayzed in order (all 1024s, all 256s, etc.) | ||
368 | if ('wss' in self.last_conf) and (conf['wss'] != \ | ||
369 | self.last_conf['wss']): | ||
370 | # we have already analyzed at least one file, | ||
371 | # this is the first file of a new set of WSS, | ||
372 | # analyze tss for previous wss | ||
373 | self.analyze_data(dname, self.last_conf) | ||
374 | # reinit dictionary | ||
375 | del self.valid_ovds_list | ||
376 | del self.min_sample_tss | ||
377 | self.valid_ovds_list = {} | ||
378 | self.min_sample_tss = {} | ||
379 | |||
380 | # add tss to valid ovds list for this wss | ||
381 | self.process_datafile(datafile, dname, fname, conf) | ||
382 | # save previously analyzed configuration | ||
383 | self.last_conf = conf | ||
384 | |||
385 | if __name__ == "__main__": | ||
386 | Analyzer().launch() | ||