Rating:
`data[0]` represents time, `data[1]` represents the clock, and `data[2]` represents the observed signals. For each clock cycle, if the majority of `data[2]` values are greater than 1, observe it as 1; otherwise, observe it as 0. Split the result into 9-bit segments and interpret them as ASCII to obtain the flag.
```python=
import pickle
import matplotlib.pyplot as plt
def bitstring_to_bytes(s):
return int(s, 2).to_bytes((len(s) + 7) // 8, byteorder='big')
data = pickle.load(open("trace.pckl", "rb"))
FROM = 68000
TO = 240000
SAMPLES = 20
while data[1][FROM] > 1:
FROM +=1
while data[1][TO] > 1:
TO -=1
idx = FROM + SAMPLES
prev = idx
result = ""
while idx < TO:
while sum(data[1][idx-SAMPLES:idx]) > SAMPLES:
idx += 1
t1 = idx
while sum(data[1][idx-SAMPLES:idx]) < SAMPLES:
idx += 1
t2 = idx
next = (t1+t2)//2
if sum(data[2][prev:next])//(next-prev) > 1:
result += "1"
else:
result += "0"
prev = next
data1 = data[1][FROM:TO]
data2 = data[2][FROM:TO]
x_values = data[0][FROM:TO]
result = result[1:]
print(result)
b = b""
for i in range(0,len(result), 9):
b += int(result[i:i+8],2).to_bytes()
print(b)
# open("x", "wb").write(b)
# plt.plot(x_values, data1, linestyle='-', color='b')
# plt.plot(x_values, data2, linestyle='-', color='r')
# plt.xlabel('Index')
# plt.ylabel('Value')
# plt.grid(True)
# plt.show()
```
