Combining Multiprocessing.map() and itertools.cycle in python3

Clash Royale CLAN TAG #URR8PPP Combining Multiprocessing.map() and itertools.cycle in python3 my question is how can I utilize itertools.cycle with multiprocessing in a way that my end result allows me to iterate through the 'accounts' file which is an email:password list as well as provide a new proxy to each request I make(in each process created with multiprocessing.map). This is somewhat hard to explain so I have provided my current code to help illustrate my problem. In each of the allocated processes(processes=10), the email combination changes for every post request but the proxy changes every 10 requests. I want every request to be completely unique. My issue seems to be that I am relying on each process created to switch the proxy with the next() function. Results are below. Thanks in advance! import requests def main(account): proxy_switch = next(proxy_pool) proxy = {"http": proxy_switch} requests.post(url, proxies=proxy) accounts=open('file....