在Python中划分大型文件以进行多处理的最佳方法是什么？

import os
import concurrent.futures
from multiprocessing import cpu_count

def process_chunk(chunk):
    # 在这里处理您的文件块
    pass

def split_file(file_path, chunk_size=1024*1024):
    with open(file_path, 'rb') as file:
        while True:
            chunk = file.read(chunk_size)
            if not chunk:
                break
            yield chunk

def process_file(file_path, chunk_size=1024*1024):
    with concurrent.futures.ThreadPoolExecutor(max_workers=cpu_count()) as executor:
        futures = []
        for chunk in split_file(file_path, chunk_size):
            future = executor.submit(process_chunk, chunk)
            futures.append(future)

        for future in concurrent.futures.as_completed(futures):
            future.result()

if __name__ == '__main__':
    file_path = 'path/to/your/large/file'
    process_file(file_path)