returns_gen.py

import random

def dummy_returns(n=67):
    #a return can vary between 100% and -100% i.e 2 and -1 
    #we will generate a random number between -100 and 200 and divide by hundred to get the dummy %return
    return [random.randint(-100,200)/100 for _ in range(n)]

def randomise_returns(returns_list):
    return random.sample(returns_list,len(returns_list))

def returns_set(original_returns_list,n=10000):
    collected_returns=[]
    while len(collected_returns)<n:
        new_list=randomise_returns(original_returns_list)
        if new_list not in collected_returns:
            collected_returns.append(new_list)
    return collected_returns

def dummy_sims():
    return returns_set(dummy_returns())
if __name__=='__main__':
    dum_rets=dummy_returns()
    paths=returns_set(dum_rets)
    for p in paths:
        print(p,sum(p))