/
test-regression.py
executable file
·546 lines (423 loc) · 18.8 KB
/
test-regression.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
#!/usr/bin/env python3
# =============================================================================
# ==================================================================== PACKAGES
import os
import signal
import sys
import math
import time
import pathlib
import argparse
import subprocess
import numpy as np
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../refs/readers/")))
import aff3ct_trace_reader as atr
# ==================================================================== PACKAGES
# =============================================================================
# =============================================================================
# ================================================================== PARAMETERS
parser = argparse.ArgumentParser(prog='aff3ct-test-regression', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--refs-path', action='store', dest='refsPath', type=str, default="refs", help='Path to the references to re-simulate.')
parser.add_argument('--results-path', action='store', dest='resultsPath', type=str, default="test-regression-results", help='Path to the simulated results.')
parser.add_argument('--build-path', action='store', dest='buildPath', type=str, default="build", help='Path to the AFF3CT build.')
parser.add_argument('--binary-path', action='store', dest='binaryPath', type=str, default="bin/aff3ct", help='Path to the AFF3CT binary.')
parser.add_argument('--start-id', action='store', dest='startId', type=int, default=1, help='Starting id to avoid computing results one again.') # choices=xrange(1, +inf)
parser.add_argument('--sensibility', action='store', dest='sensibility', type=float, default=1.0, help='Sensibility on the difference between new vs ref to verify a noise point.') # choices=xrange(1.0, +inf)
parser.add_argument('--n-threads', action='store', dest='nThreads', type=int, default=0, help='Maximum number of threads to use in the simulation (0 = all available).') # choices=xrange(0, +ing)
parser.add_argument('--recursive-scan', action='store', dest='recursiveScan', type=bool, default=True, help='If enabled, scan the path of refs recursively.')
parser.add_argument('--max-fe', action='store', dest='maxFE', type=int, default=100, help='Maximum number of frames errors to simulate per noise point.') # choices=xrange(0, +inf)
parser.add_argument('--min-fe', action='store', dest='minFE', type=int, default=50, help='Minimum number of frames errors to take into account the simulated noise point.') # choices=xrange(0, +inf)
parser.add_argument('--weak-rate', action='store', dest='weakRate', type=float, default=0.8, help='Rate of valid noise points to passe a test.') # choices=xrange(0.0, 1.0 )
parser.add_argument('--max-snr-time', action='store', dest='maxSNRTime', type=int, default=600, help='The maximum amount of time to spend to compute a noise point in seconds (0 = illimited)') # choices=xrange(0, +inf)
parser.add_argument('--verbose', action='store', dest='verbose', type=bool, default=False, help='Enable the verbose mode.')
parser.add_argument('--mpi-np', action='store', dest='mpinp', type=int, default=0, help='Enable MPI run with the given number of process each running on "--n-threads" threads.')
parser.add_argument('--mpi-host', action='store', dest='mpihost', type=str, default="", help='Run MPI with the given hosts (file).')
# supported file extensions (filename suffix)
extensions = ['.txt', '.perf', '.data', '.dat']
NoiseTypeList = ["ebn0", "esn0", "rop", "ep" ]
NoiseUnityList = ["dB", "dB", "dB", "" ]
# ================================================================== PARAMETERS
# =============================================================================
# =============================================================================
# =================================================================== FUNCTIONS
def format_e(n):
a = '%.2e' % n
return a
def splitFloat(n):
s = format_e(n).split('e')
return [float(s[0]), int(s[1])]
def getFileNames(currentPath, fileNames):
if os.path.isdir(currentPath):
if not os.path.exists(currentPath.replace(args.refsPath, args.resultsPath)):
os.makedirs(currentPath.replace(args.refsPath, args.resultsPath))
files = os.listdir(currentPath)
for f in files:
if "~" in f:
continue
newCurrentPath = currentPath + "/" + f
if os.path.isdir(newCurrentPath):
if args.recursiveScan:
getFileNames(newCurrentPath, fileNames)
else:
getFileNames(newCurrentPath, fileNames)
elif os.path.isfile(currentPath):
if pathlib.Path(currentPath).suffix in extensions:
if args.refsPath == currentPath:
basename = os.path.basename(args.refsPath)
dirname = args.refsPath.replace(basename, '')
args.refsPath = dirname
fileNames.append(basename)
else:
shortenPath = currentPath.replace(args.refsPath + "/", "")
shortenPath = shortenPath.replace(args.refsPath, "")
fileNames.append(shortenPath)
else:
print("# (WW) The path '", currentPath, "' does not exist.")
class tableStats:
def __init__(self, tableCur, tableRef, sensibility, name, nData = 0):
if len(tableCur) > len(tableRef) : # can't have less ref than checked points
raise RuntimeError
self.tableCur = tableCur
self.tableRef = tableRef
self.name = name
self.sensibility = sensibility
self.minSensibility = float('inf')
self.maxSensibility = 0
self.sumSensibility = 0
self.avgSensibility = 0
self.rateSensibility = 0
self.valid = 0
if nData == 0 or nData > len(tableCur) :
self.nData = len(tableCur)
else :
self.nData = nData
self.errorsList = []
self.errorsPos = []
self.errorsMessage = []
self.makeStats()
def makeStats(self):
for i in range(self.nData):
c = splitFloat(self.tableCur[i])
r = splitFloat(self.tableRef[i])
# compute the distance between the two points normalized to the unity with the lowest power
if c[1] < r[1]:
pw = c[1]
else:
pw = r[1]
diff = math.fabs(self.tableCur[i] - self.tableRef[i]) * 10**(-pw)
if diff > self.sensibility:
self.errorsPos .append(i)
self.errorsList .append([self.tableCur[i], self.tableRef[i]])
self.errorsMessage.append(format_e(self.tableRef[i]))
else:
self.valid += 1
self.errorsMessage.append("")
self.sumSensibility += diff
self.minSensibility = min(self.minSensibility, diff)
self.maxSensibility = max(self.maxSensibility, diff)
if self.nData != 0:
self.avgSensibility = self.sumSensibility / float(self.nData)
else:
self.avgSensibility = 0
if self.sensibility != 0:
self.rateSensibility = (self.avgSensibility / self.sensibility) * 100
else:
self.rateSensibility = float(0)
def errorMessage(self, idx):
if len(self.errorsMessage) > idx and len(self.errorsMessage[idx]):
return self.name + "=" + self.errorsMessage[idx]
else:
return ""
def hasError(self):
return self.valid != self.nData
def passRate(self):
if self.nData == 0:
raise RuntimeError
return float(self.valid) / float(self.nData)
class compStats:
def __init__(self, dataCur, dataRef, sensibility, minFE):
if not isinstance(dataCur, atr.aff3ctTraceReader) or not isinstance(dataRef, atr.aff3ctTraceReader) :
raise TypeError
self.nValidData = 0
while self.nValidData < len(dataCur.getTrace("n_fe")) and dataCur.getTrace("n_fe")[self.nValidData] > minFE:
self.nValidData += 1
self.dataCur = dataCur
self.dataRef = dataRef
self.dataList = []
noiseName = dataRef.NoiseLegendsList[dataRef.NoiseType]
if dataRef.NoiseType == "ebn0" or dataRef.NoiseType == "esn0":
self.dataList.append(tableStats(dataCur.getTrace("ebn0" ), dataRef.getTrace("ebn0" ), 0.0, "Eb/N0", self.nValidData))
self.dataList.append(tableStats(dataCur.getTrace("esn0" ), dataRef.getTrace("esn0" ), 0.0, "Es/N0", self.nValidData))
else:
self.dataList.append(tableStats(dataCur.getNoise( ), dataRef.getNoise( ), 0.0, noiseName, self.nValidData))
self.dataList.append(tableStats(dataCur.getTrace("fe_rate"), dataRef.getTrace("fe_rate"), sensibility, "FER" , self.nValidData))
self.dataList.append(tableStats(dataCur.getTrace("be_rate"), dataRef.getTrace("be_rate"), sensibility, "BER" , self.nValidData))
self.dataList.append(tableStats(dataCur.getTrace("mi" ), dataRef.getTrace("mi" ), sensibility, "MI" , self.nValidData))
def errorMessage(self, idx):
message = ""
for d in self.dataList:
dm = d.errorMessage(idx)
if len(dm):
message += dm + " "
if len(message):
return "WRONG! " + message
else:
return ""
def getResumeTable(self):
message = ""
if len(self.dataCur.getNoise()) == 0:
return message
# get noise unity
unity = ""
idx = NoiseTypeList.index(self.dataRef.NoiseType)
if idx != -1:
unity = NoiseUnityList[idx]
if len(unity):
unity = " " + unity
message += "---- Details: Noise type = " + self.dataRef.NoiseType
message += ", first noise point = " + format_e(self.dataRef.getNoise()[0]) + unity
message += ", last noise point = " + format_e(self.dataRef.getNoise()[len(self.dataRef.getNoise()) -1]) + unity + "\n"
message += "---- -------|-------------------------|--------------|-------------------------------- \n"
message += "---- name | ranges [first,last] | valid points | sensibility [avg,min,max,rate] \n"
message += "---- -------|-------------------------|--------------|-------------------------------- \n"
for d in self.dataList:
if len(d.tableCur):
message += "----" + d.name.rjust(7) + " "
message += "| [" + (format_e(d.tableCur[0])).rjust(10) + "," + (format_e(d.tableCur[len(d.tableCur) -1])).rjust(10) + "] "
message += "| " + (str(d.valid) + "/" + str(d.nData)).rjust(12) + " "
message += "| [ " + ("%.2f" % d.avgSensibility + ", %.2f" % d.minSensibility + ", %.2f" % d.maxSensibility + ", " + ("%.2f" % d.rateSensibility).rjust(6) + "%") + " ] "
message += "\n"
if self.hasError():
message += "---- -------|------------------------------------------------------------------------- \n"
message += "---- name | errors list {noise: new -> ref} \n"
message += "---- -------|------------------------------------------------------------------------- \n"
for d in self.dataList:
if d.hasError():
message += "----" + d.name.rjust(7) + " | "
el = 0
for e in d.errorsList:
if el != 0 and (el % 2) == 0 :
message += "\n---- | "
message += "{" + format_e(self.dataCur.getNoise()[d.errorsPos[el]]) + ": " + format_e(e[0]) + " -> " + format_e(e[1]) + "}"
el += 1
if el < len(d.errorsList):
message += ", "
message += "\n"
return message
def hasError(self):
hasError = False
for d in self.dataList:
hasError = hasError or d.hasError()
return hasError
def passRate(self):
passRate = float(0)
nGoodList = 0
for d in self.dataList:
try:
passRate += d.passRate()
nGoodList += 1
except RuntimeError:
pass
if nGoodList:
return passRate / float(nGoodList)
else:
return passRate
# =================================================================== FUNCTIONS
# =============================================================================
# =============================================================================
# ======================================================================== MAIN
#parser.print_help()
args = parser.parse_args()
if args.startId <= 0:
args.startId = 1
print('# AFF3CT tests')
print('# ------------')
print('#')
print('# Parameters:')
print('# refs path =', args.refsPath )
print('# results path =', args.resultsPath )
print('# build path =', args.buildPath )
print('# binary path =', args.binaryPath )
print('# start id =', args.startId )
print('# sensibility =', args.sensibility )
print('# n threads =', args.nThreads )
print('# recursive scan =', args.recursiveScan)
print('# max fe =', args.maxFE )
print('# weak rate =', args.weakRate )
print('# max snr time =', args.maxSNRTime )
print('# verbose =', args.verbose )
print('# MPI nbr proc =', args.mpinp )
print('# MPI host file =', args.mpihost )
print('#')
PathOrigin = os.getcwd()
if os.path.isfile(args.resultsPath):
print("# (EE) The results path should not be an existing file.")
sys.exit(1);
# auto create the result folder if it does not exist
if not os.path.exists(args.resultsPath):
os.makedirs(args.resultsPath)
# get the filenames to test
fileNames = []
getFileNames(args.refsPath, fileNames)
if (len(fileNames) - (args.startId -1) > 0) :
print("# (II) Starting the test script...")
else:
print("# (WW) There is no simulation to replay.")
argsAFFECTcommand = []
activateMPI = False
if args.mpinp > 0 or args.mpihost != "":
activateMPI = True
argsAFFECTcommand += ["mpirun", "--map-by", "socket"]
if args.mpinp > 0:
argsAFFECTcommand += ["-np", str(args.mpinp)]
if args.mpihost != "":
argsAFFECTcommand += ["--hostfile", str(os.path.abspath(args.mpihost))]
failIds = []
nErrors = 0
testId = 0
nIgnored = 0
nStrongPass = 0
for fn in fileNames:
if testId < args.startId -1:
testId += 1
continue
print("Test n°" + str(testId+1) + " / " + str(len(fileNames)) +
" - " + fn, end="", flush=True);
# parse the reference file
simuRef = atr.aff3ctTraceReader(args.refsPath + "/" + fn)
if simuRef.getMetadata("ci") == "off":
print(" - IGNORED.", end="\n");
testId += 1
nIgnored += 1
continue
# get the command line to run
argsAFFECT = argsAFFECTcommand[:] # hard copy
argsAFFECT += simuRef.getSplitCommand()
argsAFFECT[len(argsAFFECTcommand)] = args.binaryPath;
refsNThreads = args.nThreads;
# overrides nThreads if the ref specifies an inferior number
if "-t" in argsAFFECT and argsAFFECT.index("-t") +1 < len(argsAFFECT):
try:
refsNThreads = int(argsAFFECT[argsAFFECT.index("-t") + 1])
except (ValueError, TypeError):
refsNThreads = args.nThreads
if refsNThreads == 0 or (refsNThreads > args.nThreads and args.nThreads != 0):
refsNThreads = args.nThreads
argsAFFECT += ["--ter-freq", "0", "-t", str(refsNThreads), "--sim-meta", simuRef.getMetadata("title")]
if args.maxFE:
argsAFFECT += ["-e", str(args.maxFE)]
if args.maxSNRTime:
argsAFFECT += ["--sim-stop-time", str(args.maxSNRTime)]
if activateMPI:
argsAFFECT += ["--sim-no-colors"]
noiseVals = ""
for n in range(len(simuRef.getNoise())):
if n != 0:
noiseVals += ",";
noiseVals += str(simuRef.getNoise()[n])
argsAFFECT += ["-R", noiseVals]
if simuRef.getNoiseType() == "ebn0":
argsAFFECT += ["-E", "EBN0"]
elif simuRef.getNoiseType() == "esn0":
argsAFFECT += ["-E", "ESN0"]
# run the tested simulator
os.chdir(args.buildPath)
startTime = time.time()
try:
processAFFECT = subprocess.Popen(argsAFFECT, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
(stdoutAFFECT, stderrAFFECT) = processAFFECT.communicate()
except KeyboardInterrupt:
os.kill(processAFFECT.pid, signal.SIGINT)
(stdoutAFFECT, stderrAFFECT) = processAFFECT.communicate()
returnCode = processAFFECT.returncode
elapsedTime = time.time() - startTime
errAndWarnMessages = stderrAFFECT.decode(encoding='UTF-8')
# compare ref and new results to check if the simulator is still OK
os.chdir(PathOrigin)
# get the results
stdOutput = stdoutAFFECT.decode(encoding='UTF-8').split("\n")
simuCur = atr.aff3ctTraceReader(stdOutput)
# result file
fRes = open(args.resultsPath + "/" + fn, 'w+')
if returnCode:
print(" - ABORTED.", end="\n");
if errAndWarnMessages:
print("---- Error message(s):", end="\n");
print(errAndWarnMessages)
nErrors += 1
failIds.append(testId +1)
for i in range(len(stdOutput)):
fRes.write(stdOutput[i] + "\n")
for i in range(len(errAndWarnMessages)):
fRes.write(errAndWarnMessages[i])
elif simuCur.getNoiseType() != simuRef.getNoiseType():
nErrors += 1
failIds.append(testId +1)
print(" - NOISE TYPE MISMATCH: " + simuRef.getNoiseType() + " vs " + simuCur.getNoiseType() + ".", end="\n");
for i in range(len(stdOutput)):
fRes.write(stdOutput[i] + "\n")
for i in range(len(errAndWarnMessages)):
fRes.write(errAndWarnMessages[i])
else:
# parse the results to validate (or not) the BER/FER/MI performance
comp = compStats(simuCur, simuRef, args.sensibility, args.minFE)
# print the parameters directly and add to the wrong data the ref values
idxNoise = 0
i = 0
while "[trace]" not in stdOutput[i]:
fRes.write(stdOutput[i] + "\n")
i += 1
fRes.write(stdOutput[i] + "\n")
i += 1
while i < len(stdOutput):
line = stdOutput[i]
if line.startswith("#"):
if "# End of the simulation." not in line:
fRes.write(line + "\n")
else:
em = comp.errorMessage(idxNoise)
fRes.write(line + em + "\n")
idxNoise += 1
i += 1 # to next line
fRes.flush()
print(" - %.2f" %elapsedTime, "sec", end="")
passRate = comp.passRate()
if passRate == float(1):
print(" - STRONG PASSED.", end="\n");
nStrongPass += 1
elif passRate >= args.weakRate:
print(" - WEAK PASSED (rate = %.2f" %passRate, ").", end="\n");
else:
print(" - FAILED (rate = %.2f" %passRate, ").", end="\n");
nErrors = nErrors +1
failIds.append(testId +1)
if args.verbose:
print (comp.getResumeTable())
if not returnCode and errAndWarnMessages:
print("---- Warning message(s):", end="\n");
print(errAndWarnMessages)
fRes.write(errAndWarnMessages)
fRes.write("# End of the simulation.\n")
fRes.close();
testId += 1
if len(fileNames) - (args.startId -1) > 0:
print("\n# " + str(testId-nIgnored) + " tests executed: " + str(nStrongPass) + " strong passed tests, "
+ str(testId - nErrors - nIgnored - nStrongPass) + " weak passed tests, " + str(nErrors) + " failed tests", end="\n")
print("# " + str(nIgnored) + " files ignored.", end="\n")
if nErrors == 0:
print("\n# (II) All the tests PASSED !", end="");
else:
print("\n# (II) FAILED tests: ", end="")
f = 0
for failId in failIds:
print("n°", end="")
print(str(failId), end="")
if f == len(failIds) -1:
print(".", end="")
else:
print(", ", end="")
f = f + 1
print("\n")
sys.exit(nErrors);
# ======================================================================== MAIN
# =============================================================================