def profile(self, trace):
avg, var, _min, _max = preprocessor.analyze(trace)
self.avgs.append(avg)
self.vars.append(math.sqrt(var))
self.avg = sum(self.avgs) / len(self.avgs)
self.var = sum(self.vars) / len(self.vars)
return super(PeakProcessor, self).profile(trace)
def profile(self, trace):
avg, var, _min, _max = preprocessor.analyze(trace)
self.avgs.append(avg)
self.vars.append(math.sqrt(var))
self.avg = sum(self.avgs) / len(self.avgs)
self.var = sum(self.vars) / len(self.vars)
return super(PeakProcessor, self).profile(trace)
def profile(self, trace): tmp, tmp, _min, _max = preprocessor.analyze(trace, include_variance=False) if self.min == -1: self.min = _min diff = _max - _min self.min = int(min(_min - 0.1 * diff, self.min)) self.max = int(max(_max + 0.1 * diff, self.max)) return super(NormalizeProcessor, self).profile(trace)
def profile(self, trace):
tmp, tmp, _min, _max = preprocessor.analyze(trace,
include_variance=False)
if self.min == -1: self.min = _min
diff = _max - _min
self.min = int(min(_min - 0.1 * diff, self.min))
self.max = int(max(_max + 0.1 * diff, self.max))
return super(NormalizeProcessor, self).profile(trace)
def profile(self, trace):
avg, tmp, tmp, tmp = preprocessor.analyze(
trace, include_variance=False)
self.avgs.append(avg)
self.avg = sum(self.avgs) / len(self.avgs)
return super(RectifyProcessor, self).profile(trace)
def profile(self, trace):
avg, tmp, tmp, tmp = preprocessor.analyze(trace,
include_variance=False)
self.avgs.append(avg)
self.avg = sum(self.avgs) / len(self.avgs)
return super(RectifyProcessor, self).profile(trace)
