python多线程拆分文件进度条

import concurrent.futuresimport osdef split_file(filepath, n_chunks):    # 计算每个 chunk 的大小    chunk_size = os.path.getsize(filepath) // n_chunks    # 创建一个线程池    with concurrent.futures.ThreadPoolExecutor() as executor:        # 创建一个 futures 列表来跟踪每个 chunk 的拆分任务        futures = []        # 对于每个 chunk，创建一个拆分任务        for i in range(n_chunks):            start = i * chunk_size            end = start + chunk_size            futures.append(executor.submit(                _split_chunk, filepath, i, start, end            ))        # 获取每个 chunk 拆分任务的进度更新        for future in concurrent.futures.as_completed(futures):            # 获取进度百分比            progress = future.result()            # 更新进度条            update_progress(progress)def _split_chunk(filepath, chunk_index, start, end):    with open(filepath, "rb") as f:        # 跳转到 chunk 的开始位置        f.seek(start)        # 读取 chunk 的内容        data = f.read(end - start)    # 将 chunk 写入新的文件中    with open(f"chunk_{chunk_index}.txt", "wb") as out:        out.write(data)    # 计算进度百分比    progress = (chunk_index + 1) / n_chunks * 100    return round(progress, 2)def update_progress(progress):    # 更新进度条的实现细节，如使用 tqdm 或 curses    # 这里为了演示，我们直接打印在控制台上    print(f"Progress: {progress}%")