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#2
apull2020-09-09 21:27
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def rand_err(mu, margins):
sum = 0
length = len(margins)
# np.arange(margins.__len__())
for i in np.arange(margins.__len__()):
x = -1.0 * mu * margins[i]
sum += pnorm(x)
return sum / length