確率 epsilon で1を出力 ref: https://qiita.com/kyoro1/items/b48e6840d26902098e7f

file0.py

import numpy.random import *

## 0～1までの乱数を設定
tmp = rand()
if tmp <= epsilon:
  output = 1
else:
  output = 0
print(output)

file1.py

import numpy as np

output = np.random.binomial(1,epsilon)

file2.py

epsilon = 0.2
N = 100

tmp_list = []
for i in range(N):
    a = np.random.binomial(1, epsilon)
    tmp_list.append(a)

print(sum(tmp_list)/N) #0.22