下载加速器免费版

import requests
from concurrent.futures import ThreadPoolExecutor

def download_chunk(url, start, end, idx, temp_files):
    headers = {'Range': f'bytes={start}-{end}'}
    response = requests.get(url, headers=headers, stream=True)
    temp_files[idx] = response.content

def multi_thread_download(url, num_threads=4):
    response = requests.head(url)
    file_size = int(response.headers['Content-Length'])
    chunk_size = file_size // num_threads
    temp_files = [None] * num_threads

    with ThreadPoolExecutor(max_workers=num_threads) as executor:
        futures = []
        for i in range(num_threads):
            start = i * chunk_size
            end = start + chunk_size - 1 if i < num_threads - 1 else file_size - 1
            futures.append(executor.submit(download_chunk, url, start, end, i, temp_files))

        for future in futures:
            future.result()

    with open('downloaded_file', 'wb') as f:
        for chunk in temp_files:
            f.write(chunk)

# 使用示例
url = 'http://example.com/largefile.zip'
multi_thread_download(url)