import math
import random
import matplotlib.pyplot as plt
import matplotlib
%matplotlib inline

def random_sum(sampler, count):
    return sum(sampler() for i in range(count))

def random_xor(sampler, count):
    return reduce(lambda a,b: a^b, (sampler() for i in range(count)))

def sample_sum(samples):
    return sum(samples)

def sample_xor(samples):
    return reduce(lambda x, y: x^y, samples)

count = 100000
n = 10
max_value = 2**8-1
sampler = lambda: random.randint(0, max_value)
samples =  [[sampler() for i in range(n)] for i in range(count)]
standard_samples = [sample_sum(sample) for sample in samples]
mod_samples = [sample_sum(sample) % max_value for sample in samples]
xor_samples = [sample_xor(sample) % max_value for sample in samples]

plt.hist(standard_samples);

plt.hist(mod_samples);

plt.hist(xor_samples);