Алгоритм для равномерного распределения массивов

partition.py

import hashlib
import random
import collections

def random_string(N):
    import string
    return ''.join(random.choices(string.ascii_uppercase + string.digits, k=N))

def md5(string):
    hash = hashlib.md5(string.encode('utf-8'))
    return int.from_bytes(hash.digest()[0:2], "little")

def partition_for(n):
    counter = collections.Counter()
    list_of_hashed_random_strings = [md5(random_string(5)) for x in range(900)]
    for element in list_of_hashed_random_strings:
        counter.update(str(element % n))
    return counter

part = partition_for(9)
breakpoint()