#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：IoD_data_analysis_tool 
@File    ：distribute_task.py
@IDE     ：PyCharm 
@Author  ：rengengchen
@Time    ：2022/8/8 16:55 
"""
import math
import multiprocessing


def equally_distributing_task(target, tasks, *args, results=None, num_processors=8):
    len_tasks = len(tasks)
    process_offset = math.ceil(len_tasks / num_processors)
    for i in range(num_processors):
        sub_tasks = tasks[i * process_offset: (i + 1) * process_offset]
        if sub_tasks:
            if results:
                multiprocessing.Process(target=target,
                                        args=(sub_tasks, results, *args)).start()
            else:
                multiprocessing.Process(target=target,
                                        args=(sub_tasks, *args)).start()
        else:
            break
    return results