/
tracediff.py
executable file
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/
tracediff.py
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#!/usr/bin/env python3
import time
import scipy
import scipy.stats
import numpy as np
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import sparkgap.filemanager
import getopt
import copy
from numpy import *
def doCompareTraces_SINGLE(tn1):
tm_in1 = sparkgap.filemanager.TraceManager(tn1)
tlva_group1_traces = []
tlva_group2_traces = []
group1_avg = None
group1_avg_cnt = 0
group2_avg = None
group2_avg_cnt = 0
for f in range(0,tm_in1.getTraceCount()):
if tm_in1.getSingleData(f)[0] == 0xF0:
tlva_group1_traces.append(tm_in1.getSingleTrace(f))
if group1_avg is None:
group1_avg = tm_in1.getSingleTrace(f) * 1.0
print(group1_avg)
group1_avg_cnt += 1
else:
group1_avg += tm_in1.getSingleTrace(f) * 1.0
group1_avg_cnt += 1
else:
tlva_group2_traces.append(tm_in1.getSingleTrace(f))
if group2_avg is None:
group2_avg = tm_in1.getSingleTrace(f) * 1.0
group2_avg_cnt += 1
else:
group2_avg += tm_in1.getSingleTrace(f) * 1.0
group2_avg_cnt += 1
group1_avg /= group1_avg_cnt
group2_avg /= group2_avg_cnt
fig,(ax1,ax2) = plt.subplots(2,1)
ax1.set_title("Difference of Means")
ax1.plot(abs(group1_avg - group2_avg))
ax2.set_title("Avg Std (Noise)")
ax2.plot(np.std(tlva_group1_traces,axis=0,keepdims=True)[0])
ax2.plot(np.std(tlva_group2_traces,axis=0,keepdims=True)[0])
plt.show()
return
ttrace = scipy.stats.ttest_ind(tlva_group1_traces, tlva_group2_traces,axis=0,equal_var=False)
(tt,tn,_) = (np.nan_to_num(ttrace[0]),np.nan_to_num(ttrace[1]),tm_in1.numPoints)
print("POO")
TRACE_FILES = []
CONFIG_OFFSET = None
CONFIG_SAMPLES = None
import random
# group 1 is random, group2 is fixed.
def doTLVA(tm_in1,tm_in2):
global CONFIG_OFFSET,CONFIG_SAMPLES
if CONFIG_OFFSET is None or CONFIG_SAMPLES is None:
print("Error: CONFIG_OFFSET or CONFIG_SAMPLES is None when doTLVA is called")
sys.exit(0)
print("Loading traces for TLVA")
tlva_group1_traces = []
tlva_group2_traces = []
for f in range(0,tm_in1.getTraceCount()):
if random.randint(0,6) % 2 == 0:
tlva_group1_traces.append(tm_in1.getSingleTrace(f)[CONFIG_OFFSET:CONFIG_OFFSET+CONFIG_SAMPLES])
for f in range(0,tm_in2.getTraceCount()):
if random.randint(0,6) % 2 == 0:
tlva_group2_traces.append(tm_in2.getSingleTrace(f)[CONFIG_OFFSET:CONFIG_OFFSET+CONFIG_SAMPLES])
else:
tlva_group1_traces.append(tm_in2.getSingleTrace(f)[CONFIG_OFFSET:CONFIG_OFFSET+CONFIG_SAMPLES])
ttrace = scipy.stats.ttest_ind(tlva_group1_traces, tlva_group2_traces,axis=0,equal_var=False)
return (np.nan_to_num(ttrace[0]),np.nan_to_num(ttrace[1]),tm_in1.numPoints)
lastTime = 0.0
lastX = 0
def onclick(event):
global lastTime, lastX, CONFIG_OFFSET
OFFSET = CONFIG_OFFSET
t = time.time()
if t - lastTime < 0.200:
print("debounce - nope")
return
elif event.xdata is None:
print("skip - event.xdata (click on graph) is none")
return
else:
lastTime = t
if lastX == 0:
lastX = int(event.xdata)
lastX += OFFSET
print("MARK: %d" % lastX)
else:
localX = int(event.xdata)
fromX = min(lastX,localX)
toX = max(lastX,localX)
dist = toX - fromX
fromX += OFFSET
toX += OFFSET
print("FROM %d TO %d DIST %d" % (fromX,toX,dist))
lastX = localX
def doCompareTraces(tn1,tn2):
global CONFIG_OFFSET,CONFIG_SAMPLES
tm_in1 = sparkgap.filemanager.TraceManager(tn1)
trace_avg1 = tm_in1.getMeant()
tm_in2 = sparkgap.filemanager.TraceManager(tn2)
trace_avg2 = tm_in2.getMeant()
if len(trace_avg1) != len(trace_avg2):
print("The traces do not have equal lengths, I can't use this")
if CONFIG_OFFSET is None:
CONFIG_OFFSET = 0
if CONFIG_SAMPLES is None:
CONFIG_SAMPLES = len(trace_avg1) - 1 - CONFIG_OFFSET
trace_avg1 = trace_avg1[CONFIG_OFFSET:CONFIG_OFFSET + CONFIG_SAMPLES]
trace_avg2 = trace_avg2[CONFIG_OFFSET:CONFIG_OFFSET + CONFIG_SAMPLES]
fig,(a1,a2,a3) = plt.subplots(3,1)
fig.canvas.mpl_connect("button_press_event",onclick)
a1.set_title("Averaged Traces")
a1.plot(trace_avg1)
a1.plot(trace_avg2)
a2.set_title("Difference of Means")
a2.plot(abs(trace_avg1 - trace_avg2))
a3.set_title("Avg Standard Deviation (Noise)")
# (nn0,nn1,points) = doTLVA(tm_in1,tm_in2)
group1_traces = []
for f in range(0,tm_in1.getTraceCount()):
group1_traces.append(tm_in1.getSingleTrace(f)[CONFIG_OFFSET:CONFIG_OFFSET+CONFIG_SAMPLES])
a3.plot(np.std(group1_traces,axis=0,keepdims=True)[0])
plt.show()
if __name__ == "__main__":
opts,remainder = getopt.getopt(sys.argv[1:],"f:o:n:",["file=","offset=","samples="])
for opt, arg in opts:
if opt in ("-f","--file"):
TRACE_FILES.append(arg)
elif opt in ("-o","--offset"):
CONFIG_OFFSET = int(arg)
elif opt in ("-n","--samples"):
CONFIG_SAMPLES = int(arg)
if len(TRACE_FILES) == 1:
doCompareTraces_SINGLE(TRACE_FILES[0])
elif len(TRACE_FILES) == 2:
doCompareTraces(TRACE_FILES[0],TRACE_FILES[1])
else:
print("You must specify exactly 1 or 2 trace files with -f")
sys.exit(0)