如何在Python中正确读取大型文本文件，从而不会阻塞内存？

def read_large_file_line_by_line(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        for line in file:
            # 处理每一行数据
            process_line(line.strip())

def process_line(line):
    # 这里添加具体的处理逻辑
    print(line)

def read_large_file_in_chunks(file_path, chunk_size=1024*1024):
    with open(file_path, 'r', encoding='utf-8') as file:
        while True:
            data = file.read(chunk_size)
            if not data:
                break
            # 处理每一块数据
            process_chunk(data)

def process_chunk(chunk):
    # 这里添加具体的处理逻辑
    print(chunk)

import asyncio

async def read_large_file_async(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        while True:
            line = await asyncio.to_thread(file.readline)
            if not line:
                break
            process_line(line.strip())

# 运行异步任务
asyncio.run(read_large_file_async('large_file.txt'))